Field Guide to Hadoop | Agenda Bookshop Skip to content
Selected Colleen Hoover Books at €9.99c | In-store & Online
Selected Colleen Hoover Books at €9.99c | In-store & Online
A01=Marshall Sitto
Age Group_Uncategorized
Age Group_Uncategorized
Author_Marshall Sitto
automatic-update
Category1=Non-Fiction
Category=UNC
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€20 to €50
PS=Active
softlaunch

Field Guide to Hadoop

English

By (author): Marshall Sitto

If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections. You'll quickly understand how Hadoop's projects, subprojects, and related technologies work together. Each chapter introduces a different topic-such as core technologies or data transfer-and explains why certain components may or may not be useful for particular needs. When it comes to data, Hadoop is a whole new ballgame, but with this handy reference, you'll have a good grasp of the playing field. Topics include: Core technologies-Hadoop Distributed File System (HDFS), MapReduce, YARN, and Spark Database and data management-Cassandra, HBase, MongoDB, and Hive Serialization-Avro, JSON, and Parquet Management and monitoring-Puppet, Chef, Zookeeper, and Oozie Analytic helpers-Pig, Mahout, and MLLib Data transfer-Scoop, Flume, distcp, and Storm Security, access control, auditing-Sentry, Kerberos, and Knox Cloud computing and virtualization-Serengeti, Docker, and Whirr See more
Current price €29.44
Original price €30.99
Save 5%
A01=Marshall SittoAge Group_UncategorizedAuthor_Marshall Sittoautomatic-updateCategory1=Non-FictionCategory=UNCCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€20 to €50PS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 150 x 226mm
  • Publication Date: 21 Apr 2015
  • Publisher: O'Reilly Media
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781491947937

About Marshall Sitto

Kevin Sitto is a Sr. Field Solutions Engineer where he provides consulting services helping clients understand and address their big data needs. His duties include developing prototypes and proof of concept applications providing solution architecture guidance and assisting with detailed technical design. Prior to joining Pivotal Kevin was a Principal Software Engineer with RequiTest Inc a small consulting firm in Columbia MD. At RequiTest he lead efforts develop secure and scalable cloud computing systems based on the Hadoop Map/Reduce platform. He has a background in software development and engineering and has experience with every stage of the SDLC. Kevin is based in Columbia MD and holds a B.A. in Computer Engineering from DeVry University in addition to a number of technical certifications. He has authored a number of technical articles and has spoken at several conferences on the topics of Big Data and Cybersecurity.Marshall Presser is a Field Chief Technology Officer for Pivotal and is based in McLean VA. In addition to helping customers solve complex analytic problems with the Greenplum Database he leads the Hadoop Virtual Field Team working on issues of integrating Hadoop with relational databases. Prior to coming to Pivotal (formerly Greenplum) he spent 12 years at Oracle specializing in High Availability Business Continuity Clustering Parallel Database Technology Disaster Recovery and Large Scale Database Systems. Marshall has also worked for a number of hardware vendors implementing clusters and other parallel architectures. His background includes parallel computation operating system and compiler development as well as private consulting for organizations in heath care financial services and federal and state governments. Marshall holds a B.A in Mathematics and an M.A. in Economics and Statistics from the University of Pennsylvania and a M.Sc. in Computing from Imperial College London.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept