Hadoop Application Architectures

4.09 ( 80 Ratings by Goodreads)
Hadoop Application Architectures

Hadoop Application Architectures

(Author) (Author) (Author) (Author)
4.09 (80 Ratings by Goodreads)
paperback
Published: 10 July, 2015
Standard worldwide delivery by Thu, June 18 - Tue, June 23
Order within 0
Condition: NEW
$54.05
Price includes shipping
Available 1 in stock
- +
Add to basket Wishlist This
FREE Returns within 30 days
More Details

Popular Books by Mark Grover

View All Books by Mark Grover
Modern DADGAD Repertoire
Modern DADGAD Repertoire
Mark Grover
$25.76 $27.01
New
Add to basket

Description

Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case. To reinforce those lessons, the book's second section provides detailed examples of architectures used in some of the most commonly found Hadoop applications. Whether you're designing a new Hadoop application, or planning to integrate Hadoop into your existing data infrastructure, Hadoop Application Architectures will skillfully guide you through the process.This book covers: Factors to consider when using Hadoop to store and model data Best practices for moving data in and out of the system Data processing frameworks, including MapReduce, Spark, and Hive Common Hadoop processing patterns, such as removing duplicate records and using windowing analytics Giraph, GraphX, and other tools for large graph processing on Hadoop Using workflow orchestration and scheduling tools such as Apache Oozie Near-real-time stream processing with Apache Storm, Apache Spark Streaming, and Apache Flume Architecture examples for clickstream analysis, fraud detection, and data warehousing
See more

More Details

Type Book
ISBN13 9781491900086
ISBN10 1491900083
Number Of Pages 400
Item Weight 696 g
Product Dimensions 179 x 234 x 25 mm
Publisher / Reseller O'Reilly Media
Format paperback
See More +

GoodReads Reviews

Author's Bio

Mark is a committer on Apache Bigtop and a committer and PMC member on Apache Sentry (incubating) and a contributor to Apache Hadoop, Apache Hive, Apache Sqoop and Apache Flume projects. He is also a section author of O'Reilly's book on Apache Hive - Programming Hive. Ted is a Senior Solutions Architect at Cloudera helping clients be successful with Hadoop and the Hadoop ecosystem. Previously, he was a Lead Architect at the Financial Industry Regulatory Authority (FINRA), helping build out a number of solutions from web applications and Service Oriented Architectures to big data applicatons. He has also contributed code to Apache Flume, Apache Avro, Yarn, and Apache Pig. Jonathan is 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, technical editor for Hadoop in Practice, and has spoken at a number of industry conferences on Hadoop and big data. Gwen is a Solutions Architect at Cloudera. She has 15 years of experience working with customers to design scalable data architectures. Formerly a senior consultant at Pythian,Oracle ACE Director and board member at NoCOUG. Gwen is a frequent speaker at industry conferences and maintains a popular blog.

Show more