Butch Quinto

Next-Generation Big Data (eBook, PDF)

A Practical Guide to Apache Kudu, Impala, and Spark

• Format: PDF

Produktbeschreibung

Details how to integrate popular third-party applications and platforms such as StreamSets, ZoomData, Talend, Pentaho, Cask, Oracle, and SQL Server. with next-generation big data technologies such as Spark, Kudu, Impala, etc

First book covering Apache Kudu-a game-changer relational data store from Cloudera that will disrupt the traditional data warehouse market

Features big data use cases and case studies from some of the most successful deployments-GoPro, Mastercard, British Telecom, Navistar, oPower, Cerner, Shopzilla and Caesars Entertainment

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Produktdetails

• Verlag: Apress
• Seitenzahl: 557
• Erscheinungstermin: 12. Juni 2018
• Englisch
• ISBN-13: 9781484231470
• Artikelnr.: 52923107

Autorenporträt

Butch Quinto is Director of Analytics and Information Management at Deloitte where he leads technology innovation, strategy, solutions development and delivery, business development, vendor alliance, and due diligence. He is also Technical Leader of Deloitte's ClearLight Lab, an R&D division that conducts innovative and game-changing research around advanced analytics, artificial intelligence, Internet of things, and big data.

Butch has more than 20 years of experience in various technical and leadership roles in several industries including banking and finance, telecommunications, government, utilities, transportation, e-commerce, retail, technology, manufacturing, and bioinformatics. Butch is a recognized thought leader and a frequent speaker at conferences and events. He is a contributor to the Apache Spark and Apache Kudu open source projects, founder of the Cloudera Melbourne User Group, and Deloitte's Director of Alliance for Cloudera.

Inhaltsangabe

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.-

Rezensionen

"The book assumes familiarity with basic data analytics methods and tools, especially Hadoop, and presents high-level introductions to emerging technologies. It thus serves as a helpful guide for data analytics professionals seeking to keep pace with this dynamic and quickly advancing field." (Harry J. Foxwell, Computing Reviews, April 10, 2019)