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Next-Generation Big Data

A Practical Guide to Apache Kudu, Impala, and Spark

  • Butch Quinto

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Butch Quinto
    Pages 1-5
  3. Butch Quinto
    Pages 7-56
  4. Butch Quinto
    Pages 57-99
  5. Butch Quinto
    Pages 113-158
  6. Butch Quinto
    Pages 375-406
  7. Butch Quinto
    Pages 407-476
  8. Butch Quinto
    Pages 477-493
  9. Butch Quinto
    Pages 495-506
  10. Butch Quinto
    Pages 507-536
  11. Butch Quinto
    Pages 537-548
  12. Back Matter
    Pages 549-557

About this book

Introduction

Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies.

Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main technology stack but also the next-generation tools and applications used for big data warehousing, data warehouse optimization, real-time and batch data ingestion and processing, real-time data visualization, big data governance, data wrangling, big data cloud deployments, and distributed in-memory big data computing. Finally, the book has an extensive and detailed coverage of big data case studies from Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard.

What You’ll Learn:

  • Install Apache Kudu, Impala, and Spark to modernize enterprise data warehouse and business intelligence environments, complete with real-world, easy-to-follow examples, and practical advice
  • Integrate HBase, Solr, Oracle, SQL Server, MySQL, Flume, Kafka, HDFS, and Amazon S3 with Apache Kudu, Impala, and Spark
  • Use StreamSets, Talend, Pentaho, and CDAP for real-time and batch data ingestion and processing
  • Utilize Trifacta, Alteryx, and Datameer for data wrangling and interactive data processing
  • Turbocharge Spark with Alluxio, a distributed in-memory storage platform
  • Deploy big data in the cloud using Cloudera Director
  • Perform real-time data visualization and time series analysis using Zoomdata, Apache Kudu, Impala, and Spark
  • Understand enterprise big data topics such as big data governance, metadata management, data lineage, impact analysis, and policy enforcement, and how to use Cloudera Navigator to perform common data governance tasks
  • Implement big data use cases such as big data warehousing, data warehouse optimization, Internet of Things, real-time data ingestion and analytics, complex event processing, and scalable predictive modeling
  • Study real-world big data case studies from innovative companies, including Navistar, Cerner, British Telecom, Shopzilla, Thomson Reuters, and Mastercard

Keywords

Apache Kudu Kudu Apache Spark Spark Apache Impala Impala Big Data Hadoop Apache Cloud Cloud computing Internet of Things (IOT) Real-time visualization Big data architecture Enterprise big data Distributed in-memory computing

Authors and affiliations

  • Butch Quinto
    • 1
  1. 1.PlumptonAustralia

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