The SunnyData Blog

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

Josue Bogran Josue Bogran

Cost allocation, cloud tags, and other relevant things on Databricks

In this three-part video series, Databricks MVP Josue Bogran and Greg Kroleski from Databricks’ “Money Team” discuss cost allocation, tagging best practices, cloud innovations, and performance enhancements. The series explores Databricks' efforts to optimize cost reporting, leverage AI for insights, and empower businesses to make smarter, growth-driven decisions in 2024 and beyond.

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Seamless Data Integration: SAP to Databricks

Learn how to integrate SAP data into Databricks with this comprehensive blog. Discover the essential components of the SAP ecosystem, including SAP HANA, S/4HANA, and BTP, and explore proven integration methods using SparkJDBC and Azure Data Factory. Perfect for data engineers and architects looking to combine SAP's enterprise management capabilities with Databricks' advanced analytics.

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5 Reasons Why We Recommend Databricks

Discover why Databricks stands out as the leading data platform in this insightful blog. From unified data management to cost efficiency, unmatched performance, and robust analytics, Josue Bogran explains the top 5 reasons Databricks excels in the competitive landscape. Learn how Databricks balances innovation, user-centric design, and industry versatility to deliver exceptional results.

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Performance, Benchmarks, and Optimization Tips for Databricks Users

Josue Bogran interviews Jeremy Lewallen from Databricks’ Performance Team, exploring benchmarks, storage cost optimization, rightsizing SQL Serverless Compute, and common compute mistakes. Discover why Databricks continually enhances performance, tips for using the latest DBRs, and how their innovations provide a fast, efficient, and developer-friendly data platform.

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Redshift to Databricks - Part 2: Technical Implementation Guide

This guide dives into the technical steps required to migrate from Amazon Redshift to Databricks. Covering everything from discovery and data evaluation to security protocols and cost estimation, it offers detailed, practical strategies for managing dependencies, optimizing queries, and planning for future scalability within Databricks’ robust ecosystem.

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Redshift to Databricks - Part 1: Why and How to Start Your Migration

This blog introduces the strategic benefits and challenges of migrating from Amazon Redshift to Databricks. It covers Redshift’s legacy limitations, Databricks' advantages, and critical migration factors. The article provides an overview of key planning steps, including architecture considerations and phased migration strategies, setting the stage for technical execution in the upcoming part two.

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Sigma + Databricks: A Great BI Tool for the Data Intelligence Platform

Sigma offers a user-friendly BI tool ideal for building and managing dashboards. With intuitive features, seamless embedding, and live data connections, it excels in usability. However, its steep pricing and lack of Git integration may deter small businesses. SunnyData recommends Sigma for startups and enterprises seeking responsive, customizable solutions.

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Why Migrate to Databricks?

Migrating to Databricks offers companies unmatched benefits, including cost efficiency, scalability, and advanced AI/ML capabilities. With a unified platform and robust data governance, Databricks empowers businesses to modernize their data estates, ensuring they’re future-ready and positioned for growth.

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Step Away From “The State Of The Art”

This blog argues against the rush to adopt the latest AI technologies, emphasizing the importance of strong data engineering foundations and "Classic Analytics." It advocates for a balanced, pragmatic approach to AI adoption, ensuring long-term success over short-term gains.

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