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<v Speaker 1>You've heard this phrase before, casually dropped into Microsoft teams

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<v Speaker 1>calls with frightening confidence. Oh, we'll just use SharePoint as

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<v Speaker 1>the database for our power app. And there it is

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<v Speaker 1>the modern cry of the over confidence citizen developer. This

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<v Speaker 1>right here is the problem. People here at data stored

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<v Speaker 1>somewhere and immediately conclude database. By that logic, your junk

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<v Speaker 1>draw is a supply chain management system. The confusion is

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<v Speaker 1>forgivable barely. SharePoint does hold data and power apps can

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<v Speaker 1>read it, but that does not make it a database

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<v Speaker 1>anymore than Excel becomes a server when you save two worksheets.

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<v Speaker 1>Average users love the illusion. SharePoint lists look structured. They

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<v Speaker 1>have columns and rows, fields and filters, and of course

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<v Speaker 1>it's already included in Microsoft three sixty five, so it

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<v Speaker 1>must be good enough. Right. Wrong. You're about to see

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<v Speaker 1>why the free database sitting in your tenant is a

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<v Speaker 1>performance time bomb disguised as convenience. By the end, you'll

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<v Speaker 1>understand why power apps that begin with just SharePoint eventually

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<v Speaker 1>die gasping under their own weight, and why treating it

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<v Speaker 1>like sickle is the digital equivalent of trusting a filing

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<v Speaker 1>cabinet to run an engine. What a database actually is.

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<v Speaker 1>Let's reset the definitions before your app implodes. A proper

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<v Speaker 1>database isn't just a bucket that holds information. It's a

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<v Speaker 1>system built on architecture and logic. It has order, schema, indexing, relationships,

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<v Speaker 1>and concurrency control the invisible infrastructure that leads dozens or

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<v Speaker 1>thousands of users read, write, and query your data without

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<v Speaker 1>tripping over each other. Sequel server and data verse handle

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<v Speaker 1>this beautifully. Skimmers define the blueprint, every column type and

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<v Speaker 1>constraint serves like support beams in a skyscraper. Indexes act

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<v Speaker 1>as the elevator shafts that get you exactly where you need.

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<v Speaker 1>Fast relationships, keep records consistent, ensuring that when one table sneezes,

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<v Speaker 1>its related tables say bless you in perfect synchronization. Now

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<v Speaker 1>compare that to SharePoint. SharePoint was not designed to manage

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<v Speaker 1>transactions at scale. Its DNA is collaboration, version, history, permissions,

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<v Speaker 1>and file storage. It's more like a glorified document librarian

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<v Speaker 1>than a record keeping accountant. It's wonderful at organizing text,

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<v Speaker 1>attachments and metadata. But call it a database and you

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<v Speaker 1>might as well call your filing cabinet a data processing engine.

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<v Speaker 1>Real databases think in joints, rev rntial integrity and execution plans.

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<v Speaker 1>SharePoint thinks in lists, permissions, and column choices written by

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<v Speaker 1>someone who definitely didn't study relational theory. It's a web

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<v Speaker 1>layer optimized for people, not for queries. Here's where the

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<v Speaker 1>power apps confusion begins. The app happily connects to SharePoint

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<v Speaker 1>through an data connector. You can create forms, galleries, and dashboards.

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<v Speaker 1>On the surface, everything looks professional. The danger is invisible

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<v Speaker 1>until your app grows. I once met a department that

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<v Speaker 1>proudly built their internal CRM entirely on top of four

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<v Speaker 1>SharePoint lists. It worked beautifully for a month, then came

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<v Speaker 1>the fifth thousand record. Suddenly the apps stuttered, screens froze,

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<v Speaker 1>and every gallery took half a minute to load. Their

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<v Speaker 1>users thought the problem was bad Wi Fi. It wasn't

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<v Speaker 1>Wi fi, it was physics. SharePoint was trying to impersonate

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<v Speaker 1>a relational database. The truth. Power apps can connect to SharePoint,

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<v Speaker 1>but that's all it does. Connect. It borrows the data source,

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<v Speaker 1>but it doesn't make SharePoint any smarter. There's no hidden

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<v Speaker 1>engine under the surface waiting to optimize your queries. Imagine

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<v Speaker 1>trying to raise with a car built from bicycle parts.

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<v Speaker 1>Sure it has wheels, it moves, but once you hit

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<v Speaker 1>highway speeds, bolts start flying the handlebars. The list structure

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<v Speaker 1>where never designed to steer that kind of load. Data Verse,

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<v Speaker 1>in contrast, is a proper engine. Its transactional, relational, optimized

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<v Speaker 1>for delegation and built for power platform from the ground up.

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<v Speaker 1>It follows database logic, not just storage logic. That's the

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<v Speaker 1>difference between structured speed and unstructured sprawl. SharePoint has indexing,

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<v Speaker 1>but limited. It has look up columns, but no genuine

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<v Speaker 1>referential constraints. It allows multiple users, but not graceful concurrency handling.

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<v Speaker 1>You can write to it, but if three users added

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<v Speaker 1>the same record at once, one loses usually the intern Essentially,

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<v Speaker 1>a database enforces integrity. While SharePoint hopes for good behavior,

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<v Speaker 1>Circle refuses to accept invalid relationships. SharePoint accepts everything, smiles politely,

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<v Speaker 1>and breaks quietly. Months later. If this still feels theoretical,

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<v Speaker 1>don't worry. Scale will make it painfully real, because while

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<v Speaker 1>architecture can be ignored for a while, performance cannot, and

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<v Speaker 1>as your user base grows, your database made from friendly

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<v Speaker 1>SharePoint lists will groan like a spreadsheet with delusions of grandeur.

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<v Speaker 1>The next part is where the collapse begins. Microsoft's shiny

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<v Speaker 1>number thirty million items and the cruel joke hiding behind it.

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<v Speaker 1>Let's talk about scale, the silent killer of every power

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<v Speaker 1>app that mistook convenience for capability, the scale myth. Microsoft

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<v Speaker 1>loves big numbers. Nothing sells confidence like a glossy documentation

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<v Speaker 1>page claiming your share Point list can hold wait for it,

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<v Speaker 1>thirty million items sounds impressive, doesn't it. Thirty million entries

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<v Speaker 1>you could store the payroll history of an empire. But

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<v Speaker 1>the problem is that the number is marketing, not math.

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<v Speaker 1>That limit describes what share Point can physically contain, not

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<v Speaker 1>what it can functionally handle. It's like saying a washing

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<v Speaker 1>machine can technically fit ten bowling balls. True until you

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<v Speaker 1>press start. In reality, the moment those lists creep beyond

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<v Speaker 1>a few thousand records, power apps begins its slow descent

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<v Speaker 1>into misery. Buttons take seconds to respond. Galleries forget how

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<v Speaker 1>to scroll smoothly. You click filter and the spinning dots

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<v Speaker 1>start an existential performance art piece by ten thousand records.

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<v Speaker 1>It feels like wading through syrup. Beyond that, you're practically

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<v Speaker 1>time traveling all the way back to dial up. The

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<v Speaker 1>core culprit here is a polite little concept called delegation.

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<v Speaker 1>It's power App's way of saying, I can't handle that

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<v Speaker 1>query locally, so I'll ask the data source to compute

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<v Speaker 1>it for me. SharePoint, however, isn't fluent in that language.

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<v Speaker 1>Its delegation capabilities are minimal. Translation anything outside a small

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<v Speaker 1>set of filter and sought operations is pulled locally. The

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<v Speaker 1>data comes down the wire record by records, so your

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<v Speaker 1>client device ends up doing the heavy lifting a real

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<v Speaker 1>database engine would have done in milliseconds. You built an

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<v Speaker 1>enterprise app, and now every user's laptop is its database server. Congratulations.

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<v Speaker 1>The infamous two thousand item delegation wall isn't a myth.

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<v Speaker 1>It's a design constraint. Unless you use creative and usually

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<v Speaker 1>fragile pagination workarounds, power App simply refuses to process more.

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<v Speaker 1>You can raise that ceiling a little with clever queries,

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<v Speaker 1>but eventually the data set expands faster than the platform

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<v Speaker 1>can pretend nothing's wrong. Even if you index your columns

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<v Speaker 1>the supposed magic trick, things only improve marginally, like upgrading

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<v Speaker 1>a rubber band with a thicker rubber band. Microsoft's documentation

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<v Speaker 1>hints that indexing can let you manage up to around

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<v Speaker 1>twenty five thousand records if you're careful. Translation it will

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<v Speaker 1>technically work while producing the user experience of a PowerPoint

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<v Speaker 1>slide show transmitted over carrier pigeons. The indexes prevent total collapse,

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<v Speaker 1>but can't change the fact that SharePoint stores data in

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<v Speaker 1>what is essentially a flattened web table. Each query becomes

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<v Speaker 1>a request for a giant Jason blob passed piece by piece,

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<v Speaker 1>squirrel or data verse by contrast sends back neat pre

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<v Speaker 1>processed chunks of matching rows. SharePoint just hands you everything

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<v Speaker 1>and says good luck sorting it. Every extra thousand records

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<v Speaker 1>adds latency. It's not linear, it's exponential. One thousand rows acceptable,

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<v Speaker 1>ten thousand noticeable lag twenty thousand. Every gallery becomes a

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<v Speaker 1>meditation exercise. Users start clicking twice, thinking their devices froze,

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<v Speaker 1>which of course triggers double updates and conflicting rights. That's

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<v Speaker 1>when someone suggests, maybe we should rebuild this in Excel,

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<v Speaker 1>and the circle of bad decisions completes itself. Using SharePoint

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<v Speaker 1>as a back end at scale is like powering a

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<v Speaker 1>data center with AA batteries. Each small operation works barely,

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<v Speaker 1>but time and concurrency amplify the load until the whole

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<v Speaker 1>thing starts coughing the connect Try to fetch data while

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<v Speaker 1>maintaining security, context, evaluating filters, and managing throttling all over

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<v Speaker 1>cloud http calls that multiply faster than your patients decreases. Meanwhile,

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<v Speaker 1>Data Verse or SQUAL would be compressing, caching, and delegating

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<v Speaker 1>queries Natively. Share Points response to that level of complexity

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<v Speaker 1>a polite shrug followed by a timeout, and don't forget

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<v Speaker 1>throttling once you exceed certain thresholds. In Office three sixty five,

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<v Speaker 1>Sharepoints starts limiting the number of requests per user per minute.

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<v Speaker 1>It doesn't warn you nicely, it simply refuses to serve

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<v Speaker 1>data for a few seconds. Multiply that delay by hundreds

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<v Speaker 1>of active users, and you've turned your business app into

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<v Speaker 1>a queue simulator. Remember, throttling isn't failure. It's share points

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<v Speaker 1>polite way of begging you to stop abusing it. Now,

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<v Speaker 1>let's add relationships into the mix. Many creators think scaling

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<v Speaker 1>problems vanish if they just break lists apart. We'll have

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<v Speaker 1>one for customers, one for orders, one for products and

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<v Speaker 1>link them fascinating optimism. Each look up between those lists

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<v Speaker 1>triggers its own set of API calls, So when you

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<v Speaker 1>open a single record, you're actually launching dozens of hidden queries.

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<v Speaker 1>Apply that by hundreds of users, and your app starts

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<v Speaker 1>behaving like a chainsmoker climbing stairs. Power apps will valiantly

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<v Speaker 1>try to batch requests, but latency stacks faster than performance

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<v Speaker 1>optimizers can patch it. What's particularly cruel is how invisible

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<v Speaker 1>the decay feels. At first. Everything seems fine until the

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<v Speaker 1>day new data pushes you past that unseen tipping point.

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<v Speaker 1>Then screens freeze, connections fail silently. Eventually, developers start layering

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<v Speaker 1>patchwork fixes, smaller galleries, manual catching, collection tricks to load

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<v Speaker 1>subsets of data. It looks like progress, but only delays

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<v Speaker 1>the inevitable. It's like rearranging deck chairs on a server

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<v Speaker 1>farm that's on fire. People mistake reliability for survival time.

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<v Speaker 1>It's worked for months, they say, proudly, ignoring the trend line.

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<v Speaker 1>A proper database scales predictably. More data means slightly more storage,

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<v Speaker 1>not exponentially slower queries, SharePoint scales emotionally. It starts healthy.

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<v Speaker 1>Then suddenly collapses like it just remembered it's a web

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<v Speaker 1>service from two thousand and three, and yet the illusion persists.

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<v Speaker 1>Because Microsoft includes SharePoint in the license, the tool is approachable,

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<v Speaker 1>the set up effortless, and the first prototype thrillingly quick,

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<v Speaker 1>but free convenience hides catastrophic economics. Each delay compounds across users, departments,

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<v Speaker 1>and workflows until productivity losses dwarf any licensing savings. The

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<v Speaker 1>irony the organization eventually pays far more for an included

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<v Speaker 1>feature than it would have for data versus so called

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<v Speaker 1>premium price. You wanted relational joints across lists fascinating, Do

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<v Speaker 1>you also expect teleportation because that's about as plausible Inside

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<v Speaker 1>Sharepoints architecture, the list interface wasn't built for transactional queries

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<v Speaker 1>or complex aggregation. It's a collaborative document store that's being

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<v Speaker 1>forced daily to impersonate a relational database. No wonder it

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<v Speaker 1>looks tired. So the next time someone quotes that thirty

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<v Speaker 1>million item limit, pause, ask them how many they've actually

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<v Speaker 1>queried successfully in power apps without freezing the app. The

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<v Speaker 1>number will be much smaller, somewhere between few thousand and

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<v Speaker 1>Please don't ask. That's not scale. That's tolerance, and tolerance

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<v Speaker 1>runs out. What follows it is the crash every power

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<v Speaker 1>app team eventually experiences the day their free database becomes

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<v Speaker 1>a very expensive bottlenet. The visible slowdown is just the start.

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<v Speaker 1>What comes next is subtler, the kind of corruption hidden

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<v Speaker 1>behind seemingly normal forms and look ups. Because while performance

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<v Speaker 1>pain screams, integrity failure whispers, and in the next section

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<v Speaker 1>those whispers turn into full blown data chaos, relationships, look ups,

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<v Speaker 1>and other dangerous illusions. Now we reach the part where

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<v Speaker 1>SharePoint proudly pretends to be relational. It waives its little

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<v Speaker 1>look up column and declares, c I can do relationships too. No,

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<v Speaker 1>you can't, not the kind that mattered, Not the kind

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<v Speaker 1>with referential integrity, cascading updates, and proper foreign keys. What

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<v Speaker 1>SharePoint offers is a child's drawing of a database scribbled

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<v Speaker 1>in crayon, queued from a far horrifying up close in

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<v Speaker 1>a real database. Relationships are contracts. Table A promises to

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<v Speaker 1>link only to valid records in table B. If you

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<v Speaker 1>delete something in B, the database enforces. What happens next

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<v Speaker 1>either block it, cascaded, or update accordingly. Integrity is law.

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<v Speaker 1>Share Point by contrast, treats relationships as gossip. I heard

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<v Speaker 1>record X, might know record why, but who can say really?

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<v Speaker 1>Delete the parent list item and the child keeps an

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<v Speaker 1>orphaned reference quietly rotting until a user clicks it and

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<v Speaker 1>gets an error that looks like a riddle. Developers cling

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<v Speaker 1>to look up columns thinking they're safe, and they're not relationships.

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<v Speaker 1>They're lightweight pointers that store the ID and a bit

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<v Speaker 1>of display text, nothing more. They don't validate consistency, they

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<v Speaker 1>don't prevent duplicates. They simply assume nothing will go wrong,

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<v Speaker 1>which is adorable. And when power apps uses those lookups,

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<v Speaker 1>it has to perform multiple calls, one to retrieve the

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<v Speaker 1>main list, another to resolve each look up. That's dozens

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<v Speaker 1>of round trips just to reconstruct what cycle would fetch

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<v Speaker 1>in one joint. Every lookup adds lag, every nested gallery

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<v Speaker 1>doubles it. Choice columns are equally misleading. They look like

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<v Speaker 1>constraint enforcement preset options, clean new eye, but under the

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<v Speaker 1>hood their glorified text fields decorated with drop downs. Each

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<v Speaker 1>choice is stored as plain text or sometimes Jason flavored markup,

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<v Speaker 1>depending on column settings. Good luck filtering efficiently data verse

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<v Speaker 1>translates options into integer mapped sets for quick comparison. Share

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<v Speaker 1>Point just sifts through strings the way a librarian searches

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<v Speaker 1>a card catalog in the dark. Then we have the

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<v Speaker 1>illusion of normalization. In legitimate database design, normalization prevents redundancy.

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<v Speaker 1>Each entity lives exactly once, saving space and ensuring consistency.

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<v Speaker 1>Sharepointnds politely and does the opposite. Lists operate in parallel universes.

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<v Speaker 1>You can normalize manually split your data into multiple lists

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<v Speaker 1>and reference them, but every look up slows performance. Normalize

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<v Speaker 1>too much and your power app spends its life resolving

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<v Speaker 1>relationships instead of serving users. Denormalized to simplify performance, and

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<v Speaker 1>you sacrifice integrity, turning your lists into mutant hybrids full

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<v Speaker 1>of duplicated values. It's a loose, lose game designed by

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<v Speaker 1>someone who mistook sheet music for a soundtrack. The practical

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<v Speaker 1>outcome most power apps running on SharePoint settle into lazy denormalization.

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<v Speaker 1>Each list becomes a wide table stuffed with repeating data

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<v Speaker 1>just to avoid fetching lookups. It feels efficient until the

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<v Speaker 1>data starts drifting. Department names, misspelled users, duplicated references out

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<v Speaker 1>of sync. By month three, your database agrees with itself

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<v Speaker 1>about as much as conspiracy theorists at a Flat Earth convention.

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<v Speaker 1>Power Apps compounds this with its handling of data calls.

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<v Speaker 1>Each related record shown in a form is fetched via

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<v Speaker 1>a separate query, occasionally catching masks the inefficiency, but open

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<v Speaker 1>a deep form with multiple look ups, client, product manager status,

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<v Speaker 1>and behind the scenes, SharePoint is juggling a small crowd

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<v Speaker 1>of network requests. Any latency along the way multiplies. The

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<v Speaker 1>result is that users open a record, wait a few seconds,

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<v Speaker 1>then start clicking out of frustration, triggering another round of

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<v Speaker 1>premature network chaos. Developers respond with clever but ruinous workarounds, collections,

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<v Speaker 1>local caches, manual jason passing all in the name of

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<v Speaker 1>pretending relationships behave like secral joints. It works briefly until

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<v Speaker 1>update conflicts appear. Someone edits from a mobile version while

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<v Speaker 1>another user edits the same record in the browser. SharePoint

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<v Speaker 1>doesn't negotiate. It simply overrides. One person wins, the other

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<v Speaker 1>loses silently. The system smiles and tells you everything safe correctly.

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<v Speaker 1>It didn't imagine running a bank ledger on post it notes.

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<v Speaker 1>Each look up column is another sticky label you might misplace.

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<v Speaker 1>At small scale, you can keep track. Once the wind

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<v Speaker 1>picks up, say, concurrent users bulk updates or automated flows.

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<v Speaker 1>The notes scattered. That's SharePoint relationships held together by duct

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<v Speaker 1>tape and hope forever one sneeze away from chaos. Even

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<v Speaker 1>more deceptive is how friendly it feels. At first. The

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<v Speaker 1>interface offers easy linking between lists. You click a drop down,

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<v Speaker 1>pick look up from another list, and instantly it seems powerful.

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<v Speaker 1>But underneath, no relational matter data exists. Just store text

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<v Speaker 1>with a fragile correlation ID, delete or rename the target column,

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<v Speaker 1>and you've broken the map. Power apps tries to follow

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<v Speaker 1>the trail and falls through a logic hole debugging that

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<v Speaker 1>is like tracing spaghetti in a fog. Normalization evangelists eventually

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<v Speaker 1>face an existential crisis. They design beautifully structured SharePoint lists, employees, departments, projects,

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<v Speaker 1>each with crisp lookups. Then they publish the app and

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<v Speaker 1>users complain it's unbearably slow. The architects capitulate, merge lists,

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<v Speaker 1>denormalize data, and accept the compromise. SharePoint rewards disorder, punishing

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<v Speaker 1>proper design. It's the academic equivalent of a teacher docking points.

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<v Speaker 1>For turning in grammar that's too correct by now you

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<v Speaker 1>should see the broader point. SharePoint doesn't understand relational theory

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<v Speaker 1>because it was never meant to. It's built for story documents,

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<v Speaker 1>comments and metadata about those documents, not executing complex relational logic.

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<v Speaker 1>The moment you rely on it to maintain relationships, you're

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<v Speaker 1>forcing a librarian to perform as a database administrator. It smiles,

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<v Speaker 1>pretends to help, then misfiles half your records behind the photocopier,

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<v Speaker 1>and yet people remain hopeful. Maybe security makes up for it,

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<v Speaker 1>they say, as though item level permissions could save structural design. Spoiler,

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<v Speaker 1>they can't. Security may look like order, but when applied

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<v Speaker 1>at sharepoints microscopic scale, it becomes another performance traps. So

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<v Speaker 1>before you declare victory because our lists have look ups,

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<v Speaker 1>pause and check the integrity. If the links break and

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<v Speaker 1>nobody notices until the quarterly report, you've built a time bomb, Quiet,

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<v Speaker 1>polite and waiting. Next, let's test whether security really redeems

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<v Speaker 1>any of this architectural chaos, or if, like the rest,

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<v Speaker 1>it's merely another illusion wrapped in a SharePoint smile security

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<v Speaker 1>life cycle and tag debt ah. Yes, the comfort blanket

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<v Speaker 1>of every SharePoint apologist security. But it has amazing permissions,

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<v Speaker 1>they say, technically true, functionally disastrous. SharePoint does, in fact,

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<v Speaker 1>let you assign security at almost any level imaginable. Side library,

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<v Speaker 1>list item. You can lock down a single row so

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<v Speaker 1>tightly that even its creator can't find it again. It's

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<v Speaker 1>a marvel of granularity. It's also a nightmare of maintainability.

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<v Speaker 1>In a real database like secol or data Verse, security

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<v Speaker 1>operates predictably. You define roles reader, contributor admin. Those roles

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<v Speaker 1>apply at the table, row, or even column level, depending

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<v Speaker 1>on the engine. There's structure, there's logic. The boundaries are

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<v Speaker 1>enforced systematically, not emotionally. SharePoint, however, applies security like confetti

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<v Speaker 1>at a wedding. It's everywhere, and no one remembers who

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<v Speaker 1>threw it. Each time you break inheritance on a list item.

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<v Speaker 1>SharePoint creates an independent access control list entry sounds fine

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<v Speaker 1>until you have hundreds, ten thousands each demanding separate evaluation

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<v Speaker 1>by the permission engine. That's when queries slow down, not

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<v Speaker 1>because your data is complex, but because SharePoint is busy

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<v Speaker 1>recalculating who's allowed to see which row you wanted granular security,

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<v Speaker 1>you got molasses. Picture a librarian checking ID before handing

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<v Speaker 1>out every individual page of a book. It's technically secure, yes,

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<v Speaker 1>but you'll die of boredom before finishing chapter one. SharePoint

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<v Speaker 1>does exactly that. Across your list views. The result performance

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<v Speaker 1>collapses proportionally to how secure you tried to make it. True.

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<v Speaker 1>Databased platforms handle this with row filtered views and role

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<v Speaker 1>based access at query time, one efficient rule set applied dynamically,

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<v Speaker 1>SharePoint brute forces it at load time. Genius in a

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<v Speaker 1>sort of medieval way. Now add power apps to that equation.

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<v Speaker 1>Every time the app opens a gallery, it authenticates through

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<v Speaker 1>your context, fires off list queries, and evaluates those permissions

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<v Speaker 1>one item at a time. Users think their device is slow,

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<v Speaker 1>in reality, it's SharePoint playing bureaucrat, stamping each record approved

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<v Speaker 1>for viewing before rendering the screen. Multiply that across hundreds

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<v Speaker 1>of users, and the infrastructure wheezes like a fax machine.

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<v Speaker 1>In twenty twenty four, this is where most teams start

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<v Speaker 1>introducing shortcuts to save themselves. They duplicate data into unsecured

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<v Speaker 1>lists for convenience's sake, or create automation that copies save subsets.

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<v Speaker 1>Nightly congratulations you've just built shadow databases without integrity constraints,

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<v Speaker 1>security becomes a patchwork of wishful thinking and with no

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<v Speaker 1>centralized schema or role based system auditing, who can see

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<v Speaker 1>what turns into an archaeological dig through broken inheritance chains.

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<v Speaker 1>But security is only the first layer of dysfunction. Let's

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<v Speaker 1>talk live cycle management, the grown up part of any

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<v Speaker 1>software system. In proper database environments, you migrate through environments effortlessly, development, test, production, data,

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<v Speaker 1>verse packages tables neatly inside power platform solutions. Esquel exports

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<v Speaker 1>its schema in a single script SharePoint. It stares blankly,

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<v Speaker 1>mutters something about list templates, and leaves you to figure

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<v Speaker 1>out the rest. Moving a SharePoint data model between environments

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<v Speaker 1>is like cloning Frankenstein. Theoretically possible, practically horrifying columns, loose types,

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<v Speaker 1>choice values, mutate, look up IDs regenerate like chaotic DNA.

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<v Speaker 1>Automated provisioning scripts attempt to recreate lists by name, only

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<v Speaker 1>to discover that sharepoints internal identifiers don't align across sites.

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<v Speaker 1>The resulting environment might look similar on the surface, but

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<v Speaker 1>underneath it's a totally different creature stitch together with mismatched

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<v Speaker 1>limbs and fragile wiring, and then you hit the content

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<v Speaker 1>migration phase, where developers try to copy test data to production.

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<v Speaker 1>SharePoint doesn't have true export import parity. Instead, you rely

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<v Speaker 1>on Jason templates, PowerShell scripts, or third party tools that

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<v Speaker 1>charge per gigabyte of despair. Migrate one thousand items, lose

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<v Speaker 1>twenty lookups, and watch your power app crash because half

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<v Speaker 1>its relationships now point to non existent records. That's not

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<v Speaker 1>a migration, it's a funeral. Even versioning one of SharePoint's

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<v Speaker 1>banner features becomes treacherous. The platform dutifully keeps historical copies

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<v Speaker 1>of items, but power Apps doesn't integrate meaningfully with that

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<v Speaker 1>version history. When something breaks, you can technically roll back,

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<v Speaker 1>but you'll lose relational context in the process. Database tracks

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<v Speaker 1>changes transactionally, you can restore state coherently. SharePoint just hands

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<v Speaker 1>you a random past snapshot and says, good luck reconciling

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<v Speaker 1>this mess. The tragedy here is cumulative. Each fragile list,

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<v Speaker 1>each manual security rule, each handcrafted migration adds invisible weight.

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<v Speaker 1>That's technical debt, the system equivalent of cholesterol. It clogs everything.

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<v Speaker 1>Time that should go into improving your app instead goes

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<v Speaker 1>into maintaining permission hierarchies and rebuilding lists that fail silently

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<v Speaker 1>and the kicker. Most of that debt accruise because of

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<v Speaker 1>a single flawed assumption that SharePoint was free, so cutting

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<v Speaker 1>corners was justified. The next section rips the bandage of

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<v Speaker 1>that illusion. Spoiler alert, the free option always charges interest. Later,

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<v Speaker 1>the licensing trap and the free fallacy. Here's the root

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<v Speaker 1>of this chaos. Accountants love free. The power platform license

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<v Speaker 1>includes SharePoint, so using it feels thrifty. No approvals, no

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<v Speaker 1>budget fights until later when the hidden technical debt arrives,

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<v Speaker 1>disguised as maintenance, frustration and rebuild costs. Organizations don't pick

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<v Speaker 1>SharePoint for capability. They pick it for optics where maximizing investment,

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<v Speaker 1>they say, ignoring that those savings vanish once the app grows.

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<v Speaker 1>Data verse costs more. Yes, but you're buying delegation, integrity,

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<v Speaker 1>proper security, and ilam insurance that works when the fire starts.

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<v Speaker 1>SharePoint tempts because it's easy, quick set up, instant demo applause.

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<v Speaker 1>Then resources crawls, screens freeze, and it gets blamed. The

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<v Speaker 1>saving ends up spent on consultants rebuilding it in data verse.

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<v Speaker 1>This pattern repeats constantly free tools lwed teams into expensive

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<v Speaker 1>consequences at scale. That false economy burns more hours, wages,

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<v Speaker 1>and patients than any data verse license ever. Would you

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<v Speaker 1>saved twenty dollars per user? Excellent? That'll cover a fraction

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<v Speaker 1>of your next two hundred thousand dollars rebuilt. Microsoft didn't

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<v Speaker 1>hide the truth. They built data Verse for scale because

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<v Speaker 1>SharePoint never was. Ignoring that boundary isn't innovation, it's negligence.

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<v Speaker 1>File cabinets don't run engines. Let's end this with the

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<v Speaker 1>matter for everyone remembers. SharePoint is a filing cabinet. Beautifully labeled,

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<v Speaker 1>permission controlled, and spacious databases are engines, precisely tuned, pressure tested,

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<v Speaker 1>and built for sustained power. One stores the other, computes,

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<v Speaker 1>confuse the two, and your power up becomes a car

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<v Speaker 1>powered by stationary. Every symptom you've met, slow galleries, broken

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<v Speaker 1>look ups, failed migrations stems from that category era. SharePoint

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<v Speaker 1>isn't broken, your expectations are. It's not that Microsoft misled you.

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<v Speaker 1>It's that you misapplied a product built for collaboration to

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<v Speaker 1>a system demanding relational rigor. A filing cabinet can't negotiate

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<v Speaker 1>transactions anymore than a stapler can run an a lit

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<v Speaker 1>And if you genuinely need scale, concurrency, security, and integrity,

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<v Speaker 1>stop living on borrowed code. Move the data to data

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<v Speaker 1>Verse or seql where it belongs. Yes, licenses cost money,

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<v Speaker 1>so does electricity, gravity, and every other law of physics

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<v Speaker 1>your business depends on. So here's the blunt truth. Building

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<v Speaker 1>an enterprise great power app on share Point is like

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<v Speaker 1>balancing a skyscraper on Jello. It looks fine until someone moves.

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<v Speaker 1>Then everything collapses slowly, expensively, and predictably. Don't wait for

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<v Speaker 1>your app to become a cautionary screenshot. Migrate now, budget properly,

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<v Speaker 1>and treat architecture as non negotiable. If this explanation saved

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<v Speaker 1>you a future rebuild, repay the favor, subscribe, tap follow,

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<v Speaker 1>enable notifications, and get each new episode delivered like dependable patches,

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<v Speaker 1>on time every time. Keep watching, keep optimizing, and stop

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<v Speaker 1>mistaking filing cabinets for engines
