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Akmal B. Chaudhri, Big Data, Hadoop and NoSQL Technical Instructor

Akmal B. Chaudhri

Biography: Akmal B. Chaudhri

World-Wide Community Builder, Conference Presenter, Developer Advocate, Technical Trainer and University Relations

Akmal B. Chaudhri has been working with database technology since 1988. He has held roles as a developer, consultant and product strategist with Reuters, Logica, Computer Associates, Informix and IBM. He has published and presented widely on Java, XML and Database systems and edited or co-edited 10 books, and is now working on a new book on NoSQL technology. He has worked extensively on world-wide developer relations programs at IBM and world-wide university relations and academic initiative programs at Informix and IBM. His presentations are often very highly-rated by attendees for content, impartiality and entertainment. He holds a BSc (1st Class Hons.) in Computing and Information Systems, MSc in Business Systems Analysis and Design and a PhD in Computer Science. He is a Member of the British Computer Society (MBCS) and a Chartered IT Professional (CITP).

Personal website: about.me/akmalchaudhri
Twitter: @akmalchaudhri
Books:
XML data management: native xml and xml-enabled database systems
Succeeding with object databases
Object databases in practice

Presentation: Next Gen Hadoop: Gather around the campfire and I will tell you a good YARN

Track: Big Data Architectures - handling too big, too fast or too versatile data / Time: Friday 10:20 - 11:10 / Location: Churchill Auditorium

This presentation will provide an introduction to Apache™ Hadoop® 2.0 and Yet Another Resource Negotiator (YARN). Attendees will learn to understand:

  • Big data
  • The various types of data stored in Hadoop
  • How big data and Hadoop fit into current infrastructures and environments
  • Hadoop frameworks, such as Apache Pig™, Apache Hive™, HCatalog, Oozie, Sqoop and Flume
  • The fundamentals of the Hadoop Distributed File System (HDFS), YARN and MapReduce
  • Where Hadoop is headed with new technologies like Tez, Stinger and Knox

Attendees to not require any prior knowledge of Hadoop. This session would be suitable for Data Architects, Data Integration Architects, Technical Infrastructure Team members, Hadoop Administrators and Developers who want to understand the fundamentals of big data and the Hadoop 2.0 architecture.