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What is Microsoft Fabric
Explore Microsoft Fabric, an all-in-one analytics platform that simplifies data analytics for businesses and professionals. Discover its core features, including OneLake, and how it unifies various data tools, making data-driven decisions more accessible and cost-effective.
Recent Posts
Optmizing Query Performance with Clustering Keys in Snowflake
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.
Connect Power BI to On-Premise Oracle Database via VPN
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.
Automating Power BI Workflows with CI/CD in Microsoft Fabric
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
Installing Oracle Database on macOS
Discover how to easily set up Oracle Database on your Mac using Docker containers. This step-by-step guide walks you through the installation process, from Docker setup to database configuration, and shows you how to connect using VS Code.
DBT
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.
dbt and Snowflake Integration
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.
Snowflake Fundamentals
An overview of Snowflake, a cloud-based data warehouse platform. This article explains Snowflake's architecture, key features, and how it differs from traditional data warehouses. Learn about its separation of storage and compute, support for structured and semi-structured data, and built-in security features.
What is Snowflake?
An overview of Snowflake, a cloud-based data warehouse platform. This article explains Snowflake's architecture, key features, and how it differs from traditional data warehouses. Learn about its separation of storage and compute, support for structured and semi-structured data, and built-in security features.
SQL Interview Quick Guide: From Basics to Interview Ready
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!
