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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

Data cleansing. Before getting thoroughly analyzed, data ? In a nutshell, the data cleansing process involves scrubbing for any errors, duplications, inconsistencies, redundancies, wrong formats, etc. and as such confirming the usefulness and relevance of data for analytics. Apache Hadoop.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

This zone utilizes storage solutions like Hadoop HDFS, Amazon S3, or Azure Blob Storage. After residing in the raw zone, data undergoes various transformations. The data cleansing process involves removing or correcting inaccurate records, discrepancies, or inconsistencies in the data.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day. Understand the importance of Qubole in powering up Hadoop and Notebooks. for building effective workflows.