Resilience

Azure SQL Database Failover Groups with Multiple Secondaries

Azure SQL Database Failover Groups with Multiple Secondaries: What’s New and How to Use It – SQLYARD Leave a Comment / Articles, Azure, High Availability / By SQLYARD Azure SQL Database Failover Groups with Multiple Secondaries Public Preview By David Yard · SQLYARD.com · April 2026 · Estimated read: 18–22 min What’s New, Why It […]

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This Completes the Guide to Building Modern Data Warehouses and Lakehouses

Summary for Parts 0 through 11 Modern analytics platforms are no longer simple data warehouses with nightly ETL jobs. Enterprises today operate hybrid ecosystems of structured warehouse data, raw event streams, machine learning pipelines, operational analytics, and AI-driven automation. This requires a unified architectural approach capable of handling scale, governance, performance, flexibility, and reliability. This

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Part 11 — Data Quality, Testing, Validation, and Observability

Part 11 — Data Quality, Testing, Validation, and Observability – SQLYARD Leave a Comment / Articles, Data Engineering, Scripts / By SQLYARD Deep Technical Series — Building a Modern Data Warehouse and Lakehouse Part 11 — Data Quality, Testing, Validation, and Observability By SQLYARD · SQLYARD.com · April 2026 · Estimated read: 30–35 min Part

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Part 9 — Designing the Semantic Layer and Metrics Layer

Part 9 — Designing the Semantic Layer and Metrics Layer – SQLYARD Leave a Comment / Articles, Data Engineering, Scripts / By SQLYARD Deep Technical Series — Building a Modern Data Warehouse and Lakehouse Part 9 — Designing the Semantic Layer and Metrics Layer By SQLYARD · SQLYARD.com · April 2026 · Estimated read: 30–35

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Part 8 — Implementing the Lakehouse: Fabric, Databricks, and AWS

Part 8 — Implementing the Lakehouse: Fabric, Databricks, and AWS – SQLYARD Leave a Comment / Articles, Data Engineering, Scripts / By SQLYARD Deep Technical Series — Building a Modern Data Warehouse and Lakehouse Part 8 — Implementing the Lakehouse: Fabric, Databricks, and AWS By SQLYARD · SQLYARD.com · April 2026 · Estimated read: 35–40

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In-Memory OLTP (Memory-Optimized Tables) in SQL Server

A Complete Guide from Novice to Expert SQL Server’s In-Memory OLTP engine (also called “Hekaton”) is one of the most powerful performance features in the platform. It allows you to create memory-optimized tables, natively compiled stored procedures, and high-throughput transactional workloads. This guide explains what in-memory tables are, when to use them, how to set

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Part 5 — Transformations Part 1: ELT Strategy, dbt Modeling, and SQL Pipelines.

Part 5 — Transformations Part 1: ELT Strategy, dbt Modeling, and SQL Pipelines – SQLYARD Leave a Comment / Articles, Data Engineering, Scripts / By SQLYARD Deep Technical Series — Building a Modern Data Warehouse and Lakehouse Part 5 — Transformations Part 1: ELT Strategy, dbt Modeling, and SQL Pipelines By SQLYARD · SQLYARD.com ·

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Part 4 — Ingesting Data: Fivetran, Airbyte, Snowpipe, Autoloader, Glue, ADF, and CDC

Part 4 — Ingesting Data: Fivetran, Airbyte, Snowpipe, Autoloader, Glue, ADF, and CDC – SQLYARD Leave a Comment / Articles, Data Engineering, Scripts / By SQLYARD Deep Technical Series — Building a Modern Data Warehouse and Lakehouse Part 4 — Ingesting Data: Fivetran, Airbyte, Snowpipe, Autoloader, Glue, ADF, and CDC By SQLYARD · SQLYARD.com ·

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Part 3 — Building the Data Lake: Bronze, Silver, and Gold Architecture

Part 3 — Building the Data Lake: Bronze, Silver, and Gold Architecture – SQLYARD Leave a Comment / Articles, Data Engineering, Scripts / By SQLYARD Deep Technical Series — Building a Modern Data Warehouse and Lakehouse Part 3 — Building the Data Lake: Bronze, Silver, and Gold Architecture By SQLYARD · SQLYARD.com · April 2026

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