36,99 €
Data Analysis with Python and PySpark
Data Analysis with Python and PySpark
  • Išparduota
Data Analysis with Python and PySpark
Data Analysis with Python and PySpark
Perskaityta: 36,99 €
Data Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You'll learn how to scale your processing capabilities across multiple machines while ingesting data from any source—whether that's Hadoop clusters, cloud data storage, or local data files. Once you've covered the fundamentals, you'll explore the full versatility of PySpark by building machine learning pipelines, and blending Python, pandas, and PySpark code. In Data Analysis with Python an…
SKAITYTA KNYGA
  • Metai: 2022
  • Puslapiai: 456
  • ISBN-10: 1617297208
  • ISBN-13: 9781617297205
  • Formatas: 19 x 24 cm, minkšti viršeliai
  • Kalba: Anglų

Data Analysis with Python and PySpark (el. knyga) (skaityta knyga) | knygos.lt

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Aprašymas

Data Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You'll learn how to scale your processing capabilities across multiple machines while ingesting data from any source—whether that's Hadoop clusters, cloud data storage, or local data files. Once you've covered the fundamentals, you'll explore the full versatility of PySpark by building machine learning pipelines, and blending Python, pandas, and PySpark code.

In Data Analysis with Python and PySpark you will learn how to:

  • Manage your data as it scales across multiple machines.
  • Scale up your data programs with full confidence.
  • Read and write data to and from a variety of sources and formats.
  • Deal with messy data with PySpark's data manipulation functionality.
  • Discover new data sets and perform exploratory data analysis.
  • Build automated data pipelines that transform, summarize, and get insights from data.
  • Troubleshoot common PySpark errors.
  • Creating reliable long-running jobs.
  • Kaina: 36,99 €

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36,99 €
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  • Autorius: Jonathan Rioux
  • Metai: 2022
  • Puslapiai: 456
  • ISBN-10: 1617297208
  • ISBN-13: 9781617297205
  • Formatas: 19 x 24 cm, minkšti viršeliai
  • Kalba: Anglų Anglų

Data Analysis with Python and PySpark helps you solve the daily challenges of data science with PySpark. You'll learn how to scale your processing capabilities across multiple machines while ingesting data from any source—whether that's Hadoop clusters, cloud data storage, or local data files. Once you've covered the fundamentals, you'll explore the full versatility of PySpark by building machine learning pipelines, and blending Python, pandas, and PySpark code.

In Data Analysis with Python and PySpark you will learn how to:

  • Manage your data as it scales across multiple machines.
  • Scale up your data programs with full confidence.
  • Read and write data to and from a variety of sources and formats.
  • Deal with messy data with PySpark's data manipulation functionality.
  • Discover new data sets and perform exploratory data analysis.
  • Build automated data pipelines that transform, summarize, and get insights from data.
  • Troubleshoot common PySpark errors.
  • Creating reliable long-running jobs.

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