Category: Databases & Big Data

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Getting Started with Elastic Stack 8.0: Run powerful and scalable data platforms to search, observe, and secure your organization Front Cover

Getting Started with Elastic Stack 8.0: Run powerful and scalable data platforms to search, observe, and secure your organization

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Data Science Bookcamp: Five real-world Python projects Front Cover

Data Science Bookcamp: Five real-world Python projects

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Python Packages Front Cover

Python Packages

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Data Analytics with Spark Using Python Front Cover

Data Analytics with Spark Using Python

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Data Analysis with Python and PySpark Front Cover

Data Analysis with Python and PySpark

  • watch Length:  425 pages
  • Publication Date: 2022-03-15
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Database System Concepts, 7th Edition Front Cover

Database System Concepts, 7th Edition

  • Length: 1376 pages
  • Publication Date: 2021-07-21
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Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data modeling techniques Front Cover

Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data modeling techniques

  • Length: 324 pages
  • Publication Date: 2023-05-31
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Introduction to Python for Humanists Front Cover

Introduction to Python for Humanists

  • Length: 340 pages
  • Publication Date: 2023-07-26
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An Introduction to R and Python for Data Analysis: A Side-By-Side Approach Front Cover

An Introduction to R and Python for Data Analysis: A Side-By-Side Approach

  • Length: 249 pages
  • Publication Date: 2023-06-28
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The Definitive Guide to DAX, 2nd Edition Front Cover

The Definitive Guide to DAX, 2nd Edition

  • Length: 768 pages
  • Publication Date: 2019-07-02
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Front Cover

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

  • Length: 613 pages
  • Publication Date: 2017-03-25
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Pandas for Everyone: Python Data Analysis, 2nd Edition Front Cover

Pandas for Everyone: Python Data Analysis, 2nd Edition

  • Length: 512 pages
  • Publication Date: 2023-01-01
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