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What is Data Storage and How is it Used?

Analytics Vidhya

As modern companies rely on data, establishing dependable, effective solutions for maintaining that data is a top task for each organization. The complexity of information storage technologies increases exponentially with the growth of data. appeared first on Analytics Vidhya.

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How to learn data engineering

Christophe Blefari

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. Who are the data engineers?

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A Dive into the Basics of Big Data Storage with HDFS

Analytics Vidhya

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It provides high-throughput access to data and is optimized for […] The post A Dive into the Basics of Big Data Storage with HDFS appeared first on Analytics Vidhya.

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How to improve at SQL as a data engineer

Start Data Engineering

Data modeling 2.1.1. Data storage 2.2. Data transformation 2.2.1. Data pipeline 2.4. Data analytics 3. Introduction SQL is the bread and butter of data engineering. Introduction 2. SQL skills 2.1. Gathering requirements 2.1.2. Exploration 2.1.3. Modeling 2.1.4. Transformation types 2.2.1.1.

SQL 130
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Data Engineering Weekly #161

Data Engineering Weekly

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

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Data Pipeline Observability: A Model For Data Engineers

Databand.ai

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability. To measure, but not track.

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10 Modern Data Engineering Tools

KDnuggets

Learn about the modern tools for data orchestration, data storage, analytical engineering, batch processing, and data streaming.