Hadoop: Data Processing and Modelling: Data Processing and Modelling
Language: English
Published by Packt Publishing, 2017
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
£ 89.79
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Add to basketItem description from seller
In English.
Seller Inventory # ria9781787125162_new
- Title
- Hadoop: Data Processing and Modelling: Data Processing and Modelling
- Author
- Deshpande, Tanmay; Karanth, Sandeep; Turkington, Gerald
- Publisher
- Packt Publishing
- Publication year
- 2017
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1787125165
- ISBN 13
- 9781787125162
- Item weight
- 1,812 grams
Unlock the power of your data with Hadoop 2.X ecosystem and its data warehousing techniques across large data sets
Key Features:
- Conquer the mountain of data using Hadoop 2.X tools
- The authors succeed in creating a context for Hadoop and its ecosystem
- Hands-on examples and recipes giving the bigger picture and helping you to master Hadoop 2.X data processing platforms
- Overcome the challenging data processing problems using this exhaustive course with Hadoop 2.X
Book Description:
As Marc Andreessen has said "Data is eating the world," which can be witnessed today being the age of Big Data, businesses are producing data in huge volumes every day and this rise in tide of data need to be organized and analyzed in a more secured way. With proper and effective use of Hadoop, you can build new-improved models, and based on that you will be able to make the right decisions.
The first module, Hadoop beginners Guide will walk you through on understanding Hadoop with very detailed instructions and how to go about using it. Commands are explained using sections called "What just happened" for more clarity and understanding.
The second module, Hadoop Real World Solutions Cookbook, 2nd edition, is an essential tutorial to effectively implement a big data warehouse in your business, where you get detailed practices on the latest technologies such as YARN and Spark.
Big data has become a key basis of competition and the new waves of productivity growth. Hence, once you get familiar with the basics and implement the end-to-end big data use cases, you will start exploring the third module, Mastering Hadoop.
So, now the question is if you need to broaden your Hadoop skill set to the next level after you nail the basics and the advance concepts, then this course is indispensable.
When you finish this course, you will be able to tackle the real-world scenarios and become a big data expert using the tools and the knowledge based on the various step-by-step tutorials and recipes.
What You Will Learn:
- Best practices for setup and configuration of Hadoop clusters, tailoring the system to the problem at hand
- Integration with relational databases, using Hive for SQL queries and Sqoop for data transfer
- Installing and maintaining Hadoop 2.X cluster and its ecosystem
- Advanced Data Analysis using the Hive, Pig, and Map Reduce programs
- Machine learning principles with libraries such as Mahout and Batch and Stream data processing using Apache Spark
- Understand the changes involved in the process in the move from Hadoop 1.0 to Hadoop 2.0
- Dive into YARN and Storm and use YARN to integrate Storm with Hadoop
- Deploy Hadoop on Amazon Elastic MapReduce and Discover HDFS replacements and learn about HDFS Federation
Who this book is for:
This course is for Java developers, who know scripting, wanting a career shift to Hadoop - Big Data segment of the IT industry. So if you are a novice in Hadoop or an expert, this book will make you reach the most advanced level in Hadoop 2.X.
"Synopsis" may belong to another edition of this title.
About the Author
Garry Turkington has over 15 years of industry experience, most of which has been focused on the design and implementation of large-scale distributed systems. In his current role as the CTO at Improve Digital, he is primarily responsible for the realization of systems that store, process, and extract value from the company's large data volumes. Before joining Improve Digital, he spent time at Amazon.co.uk, where he led several software development teams, building systems that process the Amazon catalog data for every item worldwide. Prior to this, he spent a decade in various government positions in both the UK and the USA. He has BSc and PhD degrees in Computer Science from Queens University Belfast in Northern Ireland, and a Master's degree in Engineering in Systems Engineering from Stevens Institute of Technology in the USA. He is the author of Hadoop Beginners Guide, published by Packt Publishing in 2013, and is a committer on the Apache Samza project. Tanmay Deshpande
Tanmay Deshpande is a Hadoop and big data evangelist. He's interested in a wide range of technologies, such as Apache Spark, Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as finance, telecoms, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has a great interest in open source technologies and promotes them through his lectures. He has been invited to various computer science colleges to conduct brainstorming sessions with students on the latest technologies. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. Tanmay is currently working with Schlumberger as the lead developer of big data. Before Schlumberger, Tanmay worked with Lumiata, Symantec, and Infosys. Sandeep Karanth
"About the title" may belong to another edition of this title.
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