This blog explores how Clustering Keys Data Pruning, and the Search Optimization Service (SOS) enhance query efficiency in Snowflake. It explains how clustering keys physically organize data into micro-partitions enabling faster queries by reducing unnecessary scans. Data pruning leverages metadata to skip irrelevant partitions further improving performance.
Learn how to securely connect Power BI Desktop to an on-premise Oracle database using VPN, configure the On-Premises Data Gateway, and automate report refreshes in Power BI Service. Includes troubleshooting tips, performance optimizations, and best practices for enterprise environments.
An in-depth blog on automating Power BI workflows with CI/CD (Continuous Integration/Continuous Deployment) in Microsoft Fabric. This blog covers Azure DevOps and Git integration, automating deployments for data pipelines and reports, and best practices for version control and workflow optimization with real-world examples
This article explores the types of tests in dbt (data build tool), including generic tests, dbt_utils package tests, and custom tests. It provides an overview of each type of test, their purpose, and how to use them effectively to ensure data quality and integrity.
This article explores the integration of dbt with Snowflake, a comprehensive guide to using dbt with Snowflake. It covers the main concepts of dbt, including models, materializations, sources, tests, documentation, macros, and packages. It also discusses Snowflake-specific features like zero-copy cloning, time travel, and tasks. Additionally, it covers advanced concepts like incremental models, snapshots, seeds, and custom materializations. Finally, it provides best practices for using dbt with Snowflake.
Whether you're a beginner or looking to polish your skills, this blog post breaks down essential SQL concepts with clear explanations and practical examples of potential SQL interview questions. Prepare to your next SQL interview!
Learn how to securely manage secrets in Microsoft Fabric Notebooks using Azure Key Vault.
Azure Data Factory is Microsoft's cloud-based service for orchestrating and automating data movement and transformation. It offers data integration from various sources, supports complex ETL processes, and enables efficient workflow management with monitoring tools. The article covers its core features, including different types of Integration Runtimes and their applications in real-world scenarios.
This article provides a detailed overview of implementing Row-Level Security (RLS) in Power BI. It covers setting up roles and rules in Power BI Desktop and the Power BI service with a real world Example