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Global Big Data Conference in Bangalore from Aug 8 to Aug 10, 2013 July 26, 2013


Big Data Bootcamp Bangalore

Global Big Data Conference

Thursday, August 8, 2013 at 10:00 AM – Saturday, August 10, 2013 at 6:00 PM (IST)

Bangalore, India

Fee: $ 600

Event Details

Global Big Data Conference is offering 3 day extensive bootcamp on Big Data. This is a fast paced, vendor agnostic, technical overview of the Big Data landscape. No prior knowledge of databases or programming is assumed. Big Data Bootcamp is targeted towards both technical and non-technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop, NoSQL & Machine Learning. Attendees will experience real Hadoop clusters and the latest Hadoop distributions.

Corporate:
Why you should send your employees to BigData Bootcamp?
Unlike other big data training sessions, our boot camp is unique in the following aspects:

  • Experts in the Big Data from the US with hands on experience provide the training
  • Our training is vendor agnostic and provide hands-on exercise of installing and running jobs on Hadoop
  • We can customize our training to your corporate needs
  • 3 days of intense training (8 hrs/day) with multiple use cases to practice (equivalent to one full month’s training from other sources)
  • A Big Data Certification will be provided upon completion of the training

Individual:
Unlike other big data training sessions, our boot camp is unique in the following aspects:

  • Experts in the Big Data from the US with hands on experience provide the training
  • 3 days of intense training (8 hrs/day) with multiple use cases to practice (equivalent to one full month’s training from other sources)
  • Trainees will get a good overview of Big Data and be able to gain employment in highly lucrative Big Data industry
  • Top performers in the class will get placement assistance from the trainers
  • Our training is vendor agnostic and provide hands-on exercise of installing and running jobs on Hadoop
  • A Big Data Certification will be provided upon completion of the training

Who Should Attend:
Engineers, Developers, Architects, Networking specialists, Managers, Executives, Students, Professional Services, Architects, Data Analyst, BI Developer/Architect, QA, Performance Engineers, Sales, Pre Sales, Technical Marketing, PM, Delivery Manager

Big Data Track Agenda

Day -1 (Aug 8 10AM-6PM)

  • Big Data – What and Why
  • Difference between traditional and big Data
  • Vendors and Tools for Big Data
  • Apache Hadoop/Hbase Framework History, General Architecture
  • Big Data use case studies – Hadoop/Hbase in play
  • Map-Reduce Architecture – Fundamentals
  • Lunch
  • Designing and deploying Hadoop in-house and on cloud – storage/network/compute issues
  • Hadoop Flavors – Cloudera, MapR, Hortonworks, Microsoft, IBM, EMC etc.
  • Hadoop and Big Data as Service
  • Demonstrate MapR Hadoop distribution
  • MapR Hadoop Lab

Day – 2 (Aug 9 10AM-6PM)

  • Big Data use case studies – Continued
  • Big Query demo on Google Compute
  • Modeling Big Data ( SQL and NoSQL )
  • Co-existence of SQL and NoSQL – why?
  • Introduce MongoDB with demo
  • Lunch
  • Overview of Cassandra
  • BooksAuthors Database – Case study of migration from relational database to NoSQL database ( MongoDB and Cassandra )
  • MongoDB Lab
  • QA /CaouchDB Demo/Lab

Day – 3 (Aug 10 10AM-6PM)

  • Options in NoSQL Data Modeling and Design (CouchDB/MongoDB/Cassandra )
  • What to use – SQL, NoSQL, memory/columnar databases
  • Cost/Benefit analysis of using these products – Use case studies
  • Introduction to Data Science
  • Lunch
  • Data Science and Big Data Value generation
  • Modeling and Prediction – Important skills
  • Using Data Science Tools for Big Data
  • R as tool and demonstration
  • R Lab & H2o Lab
  • QA

Requirements:

Good to have basic business/industry knowledge
Good to have basic database, sql & linux skills
Eager to learn with team and have fun.

Lab Requirements

Each student should bring their own 64bit laptop ( Windows 7/8 and Mac, Virtualization Enabled, Minimum 4GB 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 Big Data Bootcamp, please do not hesitate to contact events

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