#1
16th December 2015, 04:14 PM
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Big Data Online Training
I want to do Big Data Online Training course from the WizIQ so can you please provide me the details about the course structure of it?
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#2
16th December 2015, 05:48 PM
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Re: Big Data Online Training
WizIQ provides Hadoop and Big Data Training online course, here given below are the details of this course Course Highlights 30 hrs of live online classes by highly qualified Hadoop professionals In-session practice exercises for gaining practical understanding Suitable for database developers, programmers, BI developers and DBA’s All live online classes are recorded and can be accessed for 6 months Course Outcomes Understand Big Data and Hadoop ecosystem Work with Hadoop Distributed File System (HDFS) Write MapReduce programs and implementing HBase Write Hive and Pig scripts Pre-requisites Knowledge of programming in C++ or Java or any other Object Oriented Programming language is preferred Hardware/Software Requirements: 64 bit or 64 bit ready PC/Laptop (Intel Core 2 Duo or above) 8 GB RAM 80 GB HDD Modules and Content Module-I Virtual Box/VM Ware Basics, Installations, Backups, Snapshots ClouderaVM Installations Hadoop Why Hadoop, Scaling, Distributed Framework, Hadoop v/s RDBMS, Brief history of Hadoop, Problems with traditional large-scale systems, Requirements for a new approach, Anatomy of a Hadoop cluster, Other Hadoop Ecosystem components Setup Hadoop Pseudo mode, Cluster mode, Installation of Java, Hadoop, Configurations of Hadoop, Hadoop Processes ( NN, SNN, JT, DN, TT), Temporary directory, UI, Common errors when running Hadoop cluster, Solutions Module-II HDFS- Hadoop Distributed File System- HDFS design and architecture, HDFS concepts, Interacting HDFS using command line,Dataflow, Blocks, Replica Hadoop Processes Name node, Secondary name node, Job tracker, Task tracker, Data node Module-III MapReduce Developing MapReduce application, Phases in MapReduce framework, MapReduce input and output formats, Advanced concepts, Sample applications, Combiner Writing a MapReduce Program The MapReduce flow, Examining a sample MapReduce program, Basic MapReduce API concepts, Driver code, Mapper, Reducer, Hadoop’s streaming API, Using Eclipse for rapid development, Hands-on exercise, New MapReduce API Common MapReduce Algorithms Sorting and Searching, Indexing, Term Frequency – Inverse Document Frequency, Word Co-occurrence, Hands-on exercise Writing advance map reduce programs Building multivalue writable data, Accessing and using counters,Partitioner - Hashpartitioner,Hands on Exercises . Module-IV Hadoop Programming Languages HIVE: Introduction, Installation, Configuration, Interacting HDFS using HIVE, MapReduce programs through HIVE, HIVE commands, Loading, Filtering, Grouping, Data types, Operators, Joins, Groups, Sample programs in HIVE PIG: Basics, Configuration, Commands,Loading, Filtering, Grouping, Data types, Operators, Joins, Groups, Sample programs in PIG HBase What is HBase, HBase architecture, HBase API, Managing large data sets with HBase, Using HBase in Hadoop applications. Module-V Integrating Hadoop into the Enterprise Workflow Integrating Hadoop into an Existing Enterprise, Loading Data from an RDBMS into HDFS by Using Sqoop, Managing Real-Time Data Using Flume. |
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