Remove Big Data Remove Data Architecture Remove Hadoop
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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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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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Securely Scaling Big Data Access Controls At Pinterest

Pinterest Engineering

The result is a multi-tenant Data Engineering platform, allowing users and services access to only the data they require for their work. In this post, we focus on how we enhanced and extended Monarch , Pinterest’s Hadoop based batch processing system, with FGAC capabilities. QueryBook uses OAuth to authenticate users.

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Simplify Your Data Architecture With The Presto Distributed SQL Engine

Data Engineering Podcast

You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data platforms. And don’t forget to thank them for their continued support of this show!

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Addressing the Elephant in the Room – Welcome to Today’s Cloudera

Cloudera

The first time that I really became familiar with this term was at Hadoop World in New York City some ten or so years ago. There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data.

Hadoop 103
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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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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

For instance, partition pruning, data skipping, and columnar storage formats (like Parquet and ORC) allow efficient data retrieval, reducing scan times and query costs. This is invaluable in big data environments, where unnecessary scans can significantly drain resources.