Big Data Hadoop

Big Data Hadoop

Big Data-HADOOP Workshop helps candidate to Built their own Cluster that perform Super Computing Level Analysis on the Real Data Sets technologies are important in providing more accurate analysis, which may lead to more concrete decision-making resulting in greater operational efficiencies, cost reductions, and reduced risks for the business.

Workshop Plan Day wise

Basic Discussion on Subject

  • Whats Big Data and its Present and Future
  • Why Apache Hadoop and Discussion on Its vendor company Cloudera.
  • Internal Concept and Practical Implementation.
  • Setup Hadoop v1 and v2 Cluster.
  • Implementation of Distributed Storage: HDFS.
  • How data processes in Distributed Computing World into our OWN deploy cluster using MapReduce version 1 and 2 (using YARN implementation).
  • How to Get Real data sets and develop our own datasets for benchmarking our cluster.
  • Understanding MapReduce Programming.Develop Basic MapReduce Program for processing Real World data sets from our OWN develop Cluster.
  • Perform Data Analytics using High-Level Framework using PIG or HIVE.

Overview of:

  • Hbase
  • Oozie
  • Zookeeper
  • Sqoop
  • HDFS Federation
  • NameNode HA
  • Query session
  • Domain-Client environment Active directory domain service and structure.
  • Difference between ADS and ADDS Windows server 2012 System administration
  • Creating a domain network with network services
  • Additional network servers 1. DHCP 2. DNS 3. IIS(Application server)
  • Server virtualization(Hyper-V)

Preparing Cloud platform

  • Windows Azure Fundamentals
  • Windows Azure storage
  • Windows Azure virtual Machines
  • Windows Azure Web service
  • Windows Azure media services
  • Windows Azure applications

Network load balancing
Query Session

Day 1 | Session 1 & 2

Basic Discussion on Subject

  • Whats Big Data and its Present and Future
  • Why Apache Hadoop and Discussion on Its vendor company Cloudera.
  • Internal Concept and Practical Implementation.
  • Setup Hadoop v1 and v2 Cluster.
  • Implementation of Distributed Storage: HDFS.
  • How data processes in Distributed Computing World into our OWN deploy cluster using MapReduce version 1 and 2 (using YARN implementation).
  • How to Get Real data sets and develop our own datasets for benchmarking our cluster.
  • Understanding MapReduce Programming.Develop Basic MapReduce Program for processing Real World data sets from our OWN develop Cluster.
  • Perform Data Analytics using High-Level Framework using PIG or HIVE.

Overview of:

  • Hbase
  • Oozie
  • Zookeeper
  • Sqoop
  • HDFS Federation
  • NameNode HA
  • Query session
Day 2 | Session 1 & 2
  • Domain-Client environment Active directory domain service and structure.
  • Difference between ADS and ADDS Windows server 2012 System administration
  • Creating a domain network with network services
  • Additional network servers 1. DHCP 2. DNS 3. IIS(Application server)
  • Server virtualization(Hyper-V)

Preparing Cloud platform

  • Windows Azure Fundamentals
  • Windows Azure storage
  • Windows Azure virtual Machines
  • Windows Azure Web service
  • Windows Azure media services
  • Windows Azure applications

Network load balancing
Query Session

Project Details

  • Proper Internet Facility
  • 4 GB RAM in each PC(min)
  • Red Hat/CentOS 6.4 Upgraded Version.
  • Dual Core Processor
  • Inter connectivity of all the computers.
  • Basic Discussion on Big Data Hadoop.
  • Internal Concept and Practical Implementation.
  • Overview of Hbase, Oozie, Zookeeper, Sqoop, HDFS Federation, NameNode HA.
  • Domain-Client environment.
  • Windows server 2012 System administration.
  • Preparing Cloud platform.
  • Network load balancing.
  • A seminar hall/Class room with seating capacity of 100 students.
  • One projector.
  • 2 Collar mike with sound system.
  • White board and marker.
  • Workshop coordinators(3-5).
  • Laptop charging points.
  • One laptop/PC to each group.
  • Acquaint yourself with practical knowledge.
  • Workshop taken by Exceptionally Qualified and Professional Trainers actively involved in Research & Development.
  • Learn your Area of Interest directly from Industry Experts.
  • Scales up your CV/ Resume in Technical while boosting your Logical Abilities.
  • Brings Confidence in you for Technical rounds of Interview.
  • Lifetime assistance on any of your projects.
  • Certificate of Participation
  • Certificate of Coordination
  • Certificate of Appreciation to College
  • Relevant Software.
  • Study Material (Soft Copy) FREE.
  • A TechieNest notepad

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