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Explore insights and practical tips on mastering Databricks Data Intelligence Platform and the full spectrum of today's modern data ecosystem.

Bridge the gap in your data architecture by strategically combining Databricks BI/AI with traditional business intelligence tools. Learn how to reduce licensing costs, improve dashboard performance, and implement a hybrid approach that leverages the best of both worlds. This practical guide shows you when to use native Databricks capabilities versus tools like Power BI for optimal cost-efficiency and performance.

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DABs: Referencing Your Resources
DABs: Referencing Your Resources
Managing Databricks CLI Versions in Your DAB Projects
Managing Databricks CLI Versions in Your DAB Projects
Connecting ChatGPT to Your Databricks SQL Warehouse
Connecting ChatGPT to Your Databricks SQL Warehouse

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Databricks, Migrations, ETL, EDW, AWS, Hadoop Kailash Thapa Databricks, Migrations, ETL, EDW, AWS, Hadoop Kailash Thapa

Migrating Hadoop to Databricks - a deeper dive

Migrating from a large Hadoop environment to Databricks is a complex and large project. In this blog we will dive into different areas of the migration process and the challenges that the customer should plan in these areas: Administration, Data Migration, Data Processing, Security and Governance, and Data Consumption (tools and processes)

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Migrations, Databricks, Hadoop Kailash Thapa Migrations, Databricks, Hadoop Kailash Thapa

Hadoop to Databricks Lakehouse Migration Approach and Guide

Over the past 10 years of big data analytics and data lakes, Hadoop has proven unscalable, overly complex (both onPremise and cloud versions) and unable to deliver to the business for ease of consumption or meet their innovation aspirations.

Migrating from Hadoop to Databricks will help you scale effectively, simplify your data platform and accelerate innovation with support for analytics, machine learning and AI.

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