Data Processing

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  1. 305 pages
    Machine Learning and Data Analysis with Dask
    August 2021
    Scale your data using your existing Python APIs and data structures with the help of Dask clusters
  2. 3 hours 0 minutes
    Building an Interpreter from Scratch [Video]
    April 2021
    Build and understand a full programming language semantics.
  3. 576 pages
    The Data Wrangling Workshop - Second Edition
    July 2020
    A beginner’s guide to simplifying Extract, Transform, Load (ETL) processes with the help of hands-on tips, tricks, and best practices, in a fun and interactive way
  4. 2 hours 46 minutes
    Apache NiFi - A Complete Guide (Hortonworks DataFlow - HDF) [Video]
    September 2019

    Apache NiFi, a robust, open-source data ingestion/distribution framework, is the core of Hortonworks DataFlow (HDF)

  5. 452 pages
    Hands-On GPU Computing with Python
    May 2019
    RRP €20.99 Save 83%
    Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda Accelerate
  6. 544 pages
    Mastering Hadoop 3
    February 2019
    A comprehensive guide to mastering the most advanced Hadoop 3 concepts
  7. 3 hours 35 minutes
    Data Wrangling with Python 3.x [Video]
    January 2019
    Learn the data life cycle—from acquisition to processing to analysis—in Python
  8. 186 pages
    Apache Kafka Quick Start Guide
    December 2018
    Process large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest Apache Kafka 2.0
  9. 330 pages
    Mastering Vim
    November 2018
    Mastering Vim, reviewed by Bram Moolenaar, the creator of Vim, covers usage of Vim and Neovim, showcases relevant plugins, and teaches Vimscript
  10. 3 hours 24 minutes
    Apache Spark Streaming with Python and PySpark [Video]
    September 2018
    Add Spark Streaming to your data science and machine learning Python projects
  11. 330 pages
    PySpark Cookbook
    June 2018
    Combine the power of Apache Spark and Python to build effective big data applications
  12. 4 hours 14 minutes
    Apache Kafka Series - Kafka Connect Hands-on Learning [Video]
    May 2018
    Kafka Connect - Learn How to Source Twitter Data, Store in Apache Kafka Topics and Sink in ElasticSearch and PostgreSQL
  13. 3 hours 16 minutes
    Apache Spark with Scala - Learn Spark from a Big Data Guru [Video]
    April 2018
    Learn Apache Spark and Scala by 12+ hands-on examples of analyzing big data
  14. 2 hours 29 minutes
    Learning PySpark [Video]
    February 2018
    Building and deploying data-intensive applications at scale using Python and Apache Spark
  15. 500 pages
    Learning Pentaho Data Integration 8 CE - Third Edition
    December 2017
    Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide

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