Foundations for Architecting Data Solutions

Managing Successful Data Projects

Ted Malaska, Jonathan Seidman

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English

O'Reilly Media
14 September 2018

Databases; Distributed systems

Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development. Authors Ted Malaska and Jonathan Seidman guide you through all the major components necessary to start, architect, and develop successful big data projects.

This practical book covers a variety of different big data architectures and applications, from massive data pipelines to web scale applications. Each chapter addresses a different part of the software development life cycle and identifies patterns that build on one another to maximize success throughout the life of your project.

You'll learn how to:

Build a Big Data center of excellence in your company for the first time

Identify and manage risk in your data project

Retain and motivate teams to increase engagement and innovation

Maximize Big Data ROI and align cost structure to help your company attain success

By: Ted Malaska, Jonathan Seidman
Imprint: O'Reilly Media
Country of Publication: United States
Dimensions: Height: 233mm, Width: 178mm,
ISBN: 9781492038740
ISBN 10: 1492038741
Pages: 225
Publication Date: 14 September 2018
Audience: General/trade , Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Ted Malaska is a group technical architect on the Battle.net team at Blizzard, helping support great titles like World of Warcraft, Overwatch, and HearthStone. Previously, Ted was a principal solutions architect at Cloudera, helping clients find success with the Hadoop ecosystem, and a lead architect at the Financial Industry Regulatory Authority (FINRA). He has also contributed code to Apache Flume, Apache Avro, Apache Yarn, Apache HDFS, Apache Spark, Apache Sqoop, and many more. Ted is a coauthor of Hadoop Application Architectures, a frequent speaker at many conferences, and a frequent blogger on data architectures.Jonathan is a software engineer on the Cloud team at Cloudera. Prior to that, he was a solutions architect at Cloudera working with partners to integrate their solutions with Cloudera’s software stack. Previously, he was a technical lead on the big data team at Orbitz Worldwide, helping to manage the Hadoop clusters for one of the most heavily trafficked sites on the internet. He's also a co--founder of the Chicago Hadoop User Group and Chicago Big Data, co-author of Hadoop Application Architectures, technical editor for Hadoop in Practice, and has spoken at a number of industry conferences on Hadoop and big data.