Real-Time Big Data Developer Conference is on April 23rd and 24th 2015.
Global Big Data Conference is offering 2 day extensive Real-Time Big Data Developer Conference. This is a fast paced, vendor agnostic, technical overview of the Apache Spark™ landscape. Spark is fast general-purpose cluster computing framework. It is one of most active open-source software. Organizations are switching from Hadoop MapReduce to Spark. This 2-day Conference will include technical sessions, Use Cases and hands-on sessions. On day one, we will introduce Spark Core Concepts, Scala , SBT & Labs. Day two will consists of Spark SQL, Spark Streaming, Machine Learning , Spark MLlib, Advanced Spark & hands-on sessions. You will practice the concepts that you learned on day one & day two. You will get the opportunity to do different types of data analysis using Scala, Spark and Spark libraries on your laptop.
Who Should Attend:
Engineers, Developers, Architects, Networking specialists, Managers, Executives, Students, Professional Services, Architects, Data Analyst, BI Developer/Architect, QA, Performance Engineers, Data Warehouse Professional, Sales, Pre Sales, Technical Marketing, PM, Teaching Staff, Delivery Manager
Conference Location
Santa Clara Convention Center, 5001 Great America Parkway, Santa Clara, CA 95054 ( Map )
Lab Requirements
Each student should bring their own 64bit laptop ( Windows 7/8 and Mac, Virtualization Enabled, Minimum 8GB Ram and Free 25GB-50GB hard disk ) with administrative privileges and wireless connectivity. If you have AMD laptop, it should be AMD-V enabled. If you have Intel laptop or Mac, it should support Intel-VTx. An extra USB drive of 16gb minimum will be handy if you want to use your personal USB drive for all files and images.
Refund Policy
No refunds will be given for cancellations
If you have any questions concerning Spark Conference, please do not hesitate to contact events@globalbigdataconference.com or Call: 408-400-3769
Apache Spark™ is a trademark of the Apache Software Foundation and used with permission.