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

by Quinto, Butch | PB | Good
Condition:
Good
Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ... Read moreabout condition
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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
“Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ...
Binding
Paperback
Weight
2 lbs
Product Group
Book
IsTextBook
No
ISBN
9781484231463
Subject Area
Computers, Mathematics
Publication Name
Next-Generation Big Data : a Practical Guide to Apache Kudu, Impala, and Spark
Item Length
10 in
Publisher
Apress L. P.
Subject
Probability & Statistics / General, Databases / Data Mining, Databases / General
Publication Year
2018
Type
Textbook
Format
Trade Paperback
Language
English
Author
Butch Quinto
Item Width
7 in
Item Weight
38.7 Oz
Number of Pages
Xxiii, 557 Pages

About this product

Product Information

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 BI and big data warehouse professionals interested in gaining practical and real-world insight into next-generation big data processing and analytics using Apache Kudu, Impala, and Spark; and those who want to learn more about other advanced enterprise topics

Product Identifiers

Publisher
Apress L. P.
ISBN-10
1484231465
ISBN-13
9781484231463
eBay Product ID (ePID)
25038403067

Product Key Features

Author
Butch Quinto
Publication Name
Next-Generation Big Data : a Practical Guide to Apache Kudu, Impala, and Spark
Format
Trade Paperback
Language
English
Subject
Probability & Statistics / General, Databases / Data Mining, Databases / General
Publication Year
2018
Type
Textbook
Subject Area
Computers, Mathematics
Number of Pages
Xxiii, 557 Pages

Dimensions

Item Length
10 in
Item Width
7 in
Item Weight
38.7 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Qa76.9.B45
Reviews
"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)
Table of Content
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.-
Copyright Date
2018
Illustrated
Yes

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