Packt is pleased to announce the release of its new book Talend for Big Data. Readers will learn to write complex processing job codes easily with the help of clear, step-by-step instructions. Readers will also learn how to implement Hive ELT jobs, Pig aggregation and filtering jobs, and simple Sqoop jobs using the Talend big data component palette. The book costs $34.99, and is now available in all the popular electronic formats for $17.84.
About the Author:
Bahaaldine Azarmi is the co-founder of reach5.co. With his past experience of working at Oracle and Talend, he has specialized in real-time architecture using service-oriented architecture products, big data projects, and web technologies.
Talend, a successful open source data integration solution, accelerates the adoption of new big data technologies and efficiently integrates them into an existing IT infrastructure. It is able to do this because of its intuitive graphical language, its multiple connectors to the Hadoop ecosystem, and its array of tools for data integration, quality, management, and governance.
This is a concise, pragmatic book that will help readers to perform big data analytics jobs using Hadoop technologies such as HDFS, HBase, Hive, Pig, and Sqoop.
Talend for Big Data covers the following topics:
Chapter 1: Getting Started with Talend Big Data
Chapter 2: Building Our First Big Data Job
Chapter 3: Formatting Data
Chapter 4: Processing Tweets with Apache Hive
Chapter 5: Aggregate Data with Apache Pig
Chapter 6: Back to the SQL Database
Chapter 7: Big Data Architecture and Integration Patterns
Appendix: Installing Your Hadoop Cluster with Cloudera CDH VM
This book is ideal for a chief information officer, enterprise architect, data architect, data scientist, software developer, software engineer, or data analyst who is familiar with data processing projects and who wants to use Talend to get their first big data job executed in a reliable, quick, and graphical way.
|Talend for Big Data|
|Write complex processing job codes easily with the help of clear and step by step instructions
For more information, please visit: http://www.packtpub.com/talend-for-big-data/book