Social Media Ideas for Data Modeling

What is Data Modelling? Overview, Basic Concepts, and Types in Detail | Simplilearn

TL;DR: Data modeling is the process of creating a visual representation of an entire information system or parts of it to communicate connections between data points and structures...

Data modeling patterns for Amazon Quick Sight multi-dataset relationships

In this post, we shift from concepts to patterns. For each schema, you’ll find a table structure, use cases, implementation steps, and sample SQL queries. We also cover workarounds...

Reimagining Data Modeling on the Lakehouse: Introducing Vibe Data Modeling

The challenges with Data ModelingIn every analytics stack, the Silver layer is where...

Day — 6: Data Modeling — schemas, normalization, indexes [System Design]

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Data modeling best practices for Amazon Quick Sight multi-dataset relationships

Today, we are excited to announce Multi-Dataset Relationships in Amazon Quick Sight. This new capability lets you define logical relationships between Quick Sight datasets and perf...

Context Is the New Schema

In the early days of business intelligence, organizations struggled with fragmented data, inconsistent reporting, and decisions that moved more slowly than the problems they were m...

Financial Modeling

I need a flexible, well-structured financial model built in Excel (or a comparable spreadsheet tool) that I can adapt as my plans evolve. The core objective is to translate my busi...

How to Design a Database for a Real World Application

Every great system runs on a well designed database. Here is how to think about data before you write a single query.Continue reading on Medium »

LakeDrops Drupal Consulting, Development and Hosting: The Architecture That Changed the Game: Modeler API

The Architecture That Changed the Game: Modeler API...

Simplify model selection in Amazon Bedrock with the open source Model Profiler

The Amazon Bedrock Model Profiler is an open source tool that aggregates model metadata from multiple AWS APIs and external sources into a single, searchable interface. In this pos...

Fact Table vs. Dimension Table - Differences Between The Two | Simplilearn

TL;DR: A fact table stores measurable business data like sales or orders, while a dimension table includes the qualitative information regarding that data, such as customer names,...

Inside FDP – part 4: The NHS data model

The NHS needs both a data model and the products to enforce it - the combination will be a key measure of success for the Federated Data Platform

10 SQL Techniques for Implementing Custom Materializations in Modern Data Warehouses

Practical materialization strategies that improve query performance, freshness, and warehouse scalabilityContinue reading on Medium »

Modeling a digital twin of a food supply chain using BigQuery Graph

The example of a growing restaurant Imagine you are running a restaurant chain. You just can't physically feel and touch things to know how your business operates. You need tools a...

Write about a model

Using LLMs to Automate Data Cleaning and Transformation Pipelines

A new paradigm, not a replacement of data engineering, but a fundamental shift in where engineering effort concentrates. If you were to ask a data engineer about their week, I am s...

Materialized Lake Views in Microsoft Fabric: When Your Medallion Fits in a SELECT Statement

Five surfaces collapsed into one declarative layer. Here's the full story of Materialized Lake Views in Microsoft Fabric - from syntax to the new GA capabilities The post Materiali...

Understanding Fabric Ontology

What problem is Fabric Ontology trying to solve? For years, most data conversations have started with tables. We ask where the data lives, what columns are available, how the... Th...

Top 10 Data Engineering Projects | Simplilearn

Data engineering projects are complex and require careful planning and collaboration between teams. To ensure the best results, it's essential to have clear goals and a thorough un...

Database Normalization, ACID Properties, and SCDs: A Comprehensive Guide

Database Normalization: Balancing Structure and Performance Normalization is a systematic approach to organizing database structures to minimize redundancy and improve data integri...

How to Add Custom Filtering, Sorting, and Grouping Logic in WPF DataGrid

Looking to manage student data efficiently? Build a WPF DataGrid app with sorting, filtering, and MVVM for a flexible grade system.

A Decision Framework for ETL Migration to Databricks

Your team has hundreds of stored procedures, a couple of schedulers, permissions...