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      Big Data Bootcamp Santa Clara Oct 2013 in Santa Clara

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      October 11, 2013 - October 13, 2013

      Friday   8:00 AM - Sunday 7:00 PM

      5001 Great America Parkway
      Santa Clara, California 95054

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      EVENT DETAILS
      Big Data Bootcamp Santa Clara Oct 2013

      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.


      Why you should attend BigData Bootcamp?

      Unlike any other big data boot camp, this boot camp is uniqiue.You will learn origin and flavors of Big Data. You will see big  data in action live.In advanced labs, you will do hands-on excercise of installing and running jobs on Hadoop. It is 3 day program to expose you the world of big data in practical terms. After 3 days of  interactive training, you will be better equipped to handle big data in your profession - you are a student, startup or sponsor/investor.


      Who Should Attend:
      Engineers, Developers, Networking specialists, Managers, Executives, Students, Professional Services, Architects, Data Analyst, BI Developer/Architect, QA, Performance Engineers

       Big Data Track Agenda:

      Day -1 (Oct 11 8AM-7PM)

      • Big Data - What and Why
      • Difference between traditional and big Data
      • Vendors and Tools for Big Data
      • Apache Hadoop/Hbase Framework History, General Architecture
      • Hadoop/Hbase /Pig/Hive
      • 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 ( Compile and Run Java MapReduce job )
      • Q & A / Use Case studies

      Day -2(Oct 12 8AM-7PM)

      • 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
      • BookAuthorsDatabase - Case study of migration from relational database to NoSQL database
        ( MongoDB )
      • MongoDB Lab ( Design, Populate, Query, GridFS to handle real documents like PDF files)
      • Q & A / Use Case Studies

      Day -3(Oct 13 8AM-7PM)

      • 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 stat tool and demonstration
      • R Lab ( Load, analyze and plot datasets )
      • Q & A / Use Case Studies

      Advanced NoSQL Track

      Day -1 (Oct 11 8AM-7PM)

      • NoSQL Overview
      • MongoDB Detailed
      • Cassandra Detailed
      • Lunch
      • Hbase Detailed
      • MongoDB Lab
      • MongoDB Use Case Studies
      • Q & A

      Day -2 (Oct 12 8AM-7PM)

      • CouchDB Distilled
      • CouchDB Use Case Studies
      • Lunch
      • Cassandra Detailed
      • Casandra Use Case Studies
      • Q & A

      Day -3 (Oct 13 8AM-7PM)

      • Designing NoSQL Solution
      • Which NoSQL to Use
      • Examples from use cases of past 2 days
      • Lunch
      • Group Projects Assigned
      • Develop MongoDB solution
      • Develop Cassandra solution
      • Develop Hbase solution
      • Q & A

      Advanced Data Science / Machine Learning Track

      Day -1 (Oct 11 8AM-7PM)

      • Data Science Intro
      • Linear Algebra/Stat Overview
      • R Language Overview
      • Lunch
      • R Lab detailed
        • Analyze datasets
        • Plot datasets
        • Do Regression
        • Develop model
        • Evaluate model
        • Visualize results, interpret
      • Q & A

      Day -2 (Oct 12 8AM-7PM)

      • Predictive Modeling
      • Predictive Analytic
      • Different algorithms
      • Use Cases
      • Lunch
      • R and Hadoop
      • Revolution Alnalytics as Vendor
      • H2O Lab
      • Transportation Use case lab with LGM
      • Q & A

      Day -3 (Oct 13 8AM-7PM)

      • Machine Learning
      • Designing systems for machine learning
      • Components - Hadoop, Spark, Storm, Mahout etc
      • Mahout Detailed , Run category/segmentation samples
      • Lunch
      • Group Projects
      • R Modeling/Visualization
      • Mahout Use Case
      • H2o Use Case
      • Q & A

      Industry Vertical Use Case Track

      Day -1 (Oct 11 8AM-7PM)

      • Finance
      • Insurance
      • Lunch
      • Retail, eCommerce & Consumer Products
      • Gaming
      • Energy & Utilities

      Day -2 (Oct 12 8AM-7PM)

      • Media & Entertainment
      • Marketing
      • Advertisement
      • Lunch (12-1PM)
      • Healthcare & Life Sciences
      • Government

      Day -3(Oct 13 8AM-7PM)

      • Technology
      • Lunch (12-1PM)
      • Telecommunications
      • Hospitality & Transportation
      • Auto
      • Education

      Hadoop Developer Track

      Day -1 (Oct 11 8AM-7PM)

      • Why Hadoop?
      • Hadoop Basics
      • Hadoop Distributed File System (HDFS)
      • MapReduce Classic
      • MapReduce Yarn
      • Developing a MapReduce Application

      Day -2 (Oct 12 8AM-7PM)

      • Why Hadoop?
      • Q & A's from day 1
      • MapReduce I/O
      • Advanced Features and Optimizations
      • Unit testing MapReduce programs
      • Developing and Debugging on Cluster

      Day -3 (Oct 13 8AM-7PM)

      • Q & A’s from day 2
      • Hive
      • Pig
      • Define a workflow using oozie
      • Demystifying Real-time, Streaming, batch etc
      • New trends in Hadoop ecosystem

      Lab Requirements
      Each student should bring their own laptop(Minimum 4GB ram and 25GB-50GB hard disk) with administrative privileges and wireless connectivity.

      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@globalbigdataconference.com or Call 408-400-3769

      Cost: 1,999.00 Big Data Bootcamp Santa Clara- 3 Days 1,999.00

      Categories: Conferences & Tradeshows

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.
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