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Azure Synapse vs Databricks: 2023 Comparison Guide

Knowledge Hut

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

As a result, a less senior team member was made responsible for modifying a production pipeline. Create a Path To Production For Self-Service: “… business users explore data through self-service data preparation, few have established gatekeeping processes to deliver these workloads to production.”