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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark

Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark

Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen Mei

E-book
Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this Learning Path, you can take your knowledge of Apache Spark to the next level by learning how to expand Spark's functionality and building your own data flow and machine learning programs on this platform.

You will work with the different modules in Apache Spark, such as interactive querying with Spark SQL, using DataFrames and datasets, implementing streaming analytics with Spark Streaming, and applying machine learning and deep learning techniques on Spark using MLlib and various external tools.

By the end of this elaborately designed Learning Path, you will have all the knowledge you need to master Apache Spark, and build your own big data processing and analytics pipeline quickly and without any hassle.

This Learning Path includes content from the following Packt products:

• Mastering Apache Spark 2.x by Romeo Kienzler
• Scala and Spark for Big Data Analytics by Md. Rezaul Karim, Sridhar Alla
• Apache Spark 2.x Machine Learning Cookbook by Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen MeiCookbook

  • 1. A First Taste and What's New in Apache Spark V2
  • 2. Apache Spark Streaming
  • 3. Structured Streaming
  • 4. Apache Spark MLlib
  • 5. Apache SparkML
  • 6. Apache SystemML
  • 7. Apache Spark GraphX
  • 8. Spark Tuning
  • 9. Testing and Debugging Spark
  • 10. Practical Machine Learning with Spark Using Scala
  • 11. Spark's Three Data Musketeers for Machine Learning - Perfect Together
  • 12. Common Recipes for Implementing a Robust Machine Learning System
  • 13. Recommendation Engine that Scales with Spark
  • 14. Unsupervised Clustering with Apache Spark 2.0
  • 15. Implementing Text Analytics with Spark 2.0 ML Library
  • 16. Spark Streaming and Machine Learning Library
  • Titel: Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
  • Autor: Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen Mei
  • Originaler Titel: Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
  • ISBN: 9781789959208, 9781789959208
  • Veröffentlichungsdatum: 2018-12-21
  • Format: E-book
  • Artikelkennung: e_15e7
  • Verleger: Packt Publishing