Next-Generation Big Data: A Practical Guide to Apache Kudu, Impala, and Spark

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

Who This Book Is For

Table of Contents

Chapter 1: Next-Generation Big Data
Chapter 2: Introduction to Kudu
Chapter 3: Introduction to Impala
Chapter 4: High Performance Data Analysis with Impala and Kudu
Chapter 5: Introduction to Spark
Chapter 6: High Performance Data Processing with Spark and Kudu
Chapter 7: Batch and Real-Time Data Ingestion and Processing
Chapter 8: Big Data Warehousing
Chapter 9: Big Data Visualization and Data Wrangling
Chapter 10: Distributed In-Memory Big Data Computing
Chapter 11: Big Data Governance and Management
Chapter 12: Big Data in the Cloud
Chapter 13: Big Data Case Studies