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Databricks Delta Lake: A Scalable Data Lake Solution

ProjectPro

Want to process peta-byte scale data with real-time streaming ingestions rates, build 10 times faster data pipelines with 99.999% reliability, witness 20 x improvement in query performance compared to traditional data lakes, enter the world of Databricks Delta Lake now. Delta Lake is a game-changer for big data.

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Seamless SQL And Python Transformations For Data Engineers And Analysts With SQLMesh

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Support Data Engineering Podcast RudderStack also supports real-time use cases.

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data.

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How to Build a Data Lake?

ProjectPro

This guide is your roadmap to building a data lake from scratch. We'll break down the fundamentals, walk you through the architecture, and share actionable steps to set up a robust and scalable data lake. That’s where data lakes come in. Table of Contents What is a Data Lake?

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Tackling Real Time Streaming Data With SQL Using RisingWave

Data Engineering Podcast

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. RisingWave is a database engine that was created specifically for stream processing, with S3 as the storage layer. Can you describe what RisingWave is and the story behind it? Starburst : ![Starburst

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What is Azure Data Lake?

ProjectPro

Many organizations are struggling to store, manage, and analyze data due to its exponential growth. Cloud-based data lakes allow organizations to gather any form of data, whether structured or unstructured, and make this data accessible for usage across various applications, to address these issues.

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Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. Visit: dataengineeringpodcast.com/data-council today. Your first 30 days are free!

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