Overview
About This Book Construct state-of-the-art applications using higher-level interfaces and tools beyond the traditional MapReduce approach Use the unique features of Hadoop 2 to model and analyze Twitter's global stream of user generated data Develop a prototype on a local cluster and deploy to the cloud (Amazon Web Services) Who This Book Is ForIf you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience with the Java programming language. Familiarity with Hadoop would be a plus.
Full Product Details
Author: Garry Turkington ,
Gabriele Modena
Publisher: Packt Publishing Limited
Imprint: Packt Publishing Limited
Dimensions:
Width: 7.50cm
, Height: 2.00cm
, Length: 9.30cm
Weight: 0.653kg
ISBN: 9781783285518
ISBN 10: 1783285516
Pages: 382
Publication Date: 02 April 2023
Audience:
General/trade
,
General
Format: Undefined
Publisher's Status: Active
Availability: In Print
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Author Information
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. Gabriele Modena is a data scientist at Improve Digital. In his current position, he uses Hadoop to manage, process, and analyze behavioral and machine-generated data. Gabriele enjoys using statistical and computational methods to look for patterns in large amounts of data. Prior to his current job in ad tech he held a number of positions in Academia and Industry where he did research in machine learning and artificial intelligence. He holds a BSc degree in Computer Science from the University of Trento, Italy and a Research MSc degree in Artificial Intelligence: Learning Systems, from the University of Amsterdam in the Netherlands.
