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Data Integrity for AI: What’s Old is New Again

Precisely

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

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Simplify Your Data Architecture With The Presto Distributed SQL Engine

Data Engineering Podcast

If you need to work with data in your cloud data lake, your on-premise database, or a collection of flat files, then give this episode a listen and then try out Presto today. If you hand a book to a new data engineer, what wisdom would you add to it? If you hand a book to a new data engineer, what wisdom would you add to it?

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What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools

Monte Carlo

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts.

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Recap of Hadoop News for January 2017

ProjectPro

News on Hadoop-January 2017 Big Data In Gambling: How A 360-Degree View Of Customers Helps Spot Gambling Addiction. The largest gaming agency in Finland, Veikkaus is using big data to build a 360 degree picture of its customers. Source : [link] How Hadoop helps Experian crunch credit reports. Forbes.com, January 5, 2017.

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A High Performance Platform For The Full Big Data Lifecycle

Data Engineering Podcast

Summary Managing big data projects at scale is a perennial problem, with a wide variety of solutions that have evolved over the past 20 years. One of the early entrants that predates Hadoop and has since been open sourced is the HPCC (High Performance Computing Cluster) system.

Big Data 100
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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

Track data files within the table along with their column statistics. Open table formats enable efficient data management and retrieval by storing these files chronologically, with a history of DDL and DML actions and an index of data file locations. Log all Inserts, Updates, and Deletes (DML) applied to the table.

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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. That's where Hadoop comes into the picture. Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Why Are Hadoop Projects So Important?

Hadoop 52