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Data News — Week 24.16

Christophe Blefari

easy ( credits ) Hey, new Friday, new Data News. Structured generative AI — Oren explains how you can constraint generative algorithms to produce structured outputs (like JSON or SQL—seen as an AST). This is crazy how Theseus outperform Spark. Up to 30TBs > Cloud warehouse or Spark Over 30TBs > Go Theseus.

MySQL 130
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Upgrade your Modern Data Stack

Christophe Blefari

Make your data stack take-off ( credits ) Hello, another edition of Data News. This week, we're going to take a step back and look at the current state of data platforms. What are the current trends and why are people fighting around the concept of the modern data stack. Early September is usually conference season.

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1.5 Years of Spark Knowledge in 8 Tips

Towards Data Science

My learnings from Databricks customer engagements Figure 1: a technical diagram of how to write apache spark. After working with ~15 of the largest retail organizations for the past 18 months, here are the Spark tips I commonly repeat. 0 — Quick Review Quickly, let’s review what spark does… Spark is a big data processing engine.

Scala 82
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Brief History of Data Engineering

Jesse Anderson

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly.

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Top 8 Hadoop Projects to Work in 2024

Knowledge Hut

Imagine having a framework capable of handling large amounts of data with reliability, scalability, and cost-effectiveness. In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Why Are Hadoop Projects So Important?

Hadoop 52
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Data News — Week 23.37

Christophe Blefari

Facing the News ( credits ) Hello Data News readers. If you're late to the party and you need fresh views on LLMs Daniel wrote an introduction demystifying the Large Language Models and Jesse wrote about LLMs impact from a Data Engineering perspective. — Hugo propose 7 hacks to optimise data warehouse cost.

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Big Savings On Big Data

Lyft Engineering

How Lyft’s ML Platform Saves Time and Money on Big Data/ML Workloads By Anindya Saha & Han Wang Image by DALL·E Motivation In previous articles, we talked about the ML Platform of Lyft, LyftLearn , which manages ML model training as well as batch predictions. How much more did we spend in 2022 vs 2021?