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BIG DATA & HADOOP

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Course type: Online Instructor led Course

Course ID: 18486

Course type: Online Instructor led Course

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About the Course

Live Online Weekend Classes
24X7 Online Expert Help
Curriculum Design & Instruction by Industry Expert
Lifetime Access. No Limits!
Certificate of Completion

Topics Covered

Hadoop Architecture:

What is Big Data, Hadoop Architecture, Hadoop ecosystem components, Hadoop Storage: HDFS, Hadoop Processing: MapReduce Framework, Hadoop Server Roles: NameNode, Secondary NameNode, and DataNode, Anatomy of File Write and Read.

Hadoop Cluster Configuration and Data Loading:

Hadoop Cluster Architecture, Hadoop Cluster Configuration files, Hadoop Cluster Modes, Multi-Node Hadoop Cluster, A Typical Production Hadoop Cluster, MapReduce Job execution, Common Hadoop Shell commands, Data Loading Techniques: FLUME, SQOOP, Hadoop Copy Commands, Hadoop Project: Data Loading.

Hadoop MapReduce framework:

Hadoop Data Types, Hadoop MapReduce paradigm, Map and Reduce tasks, MapReduce Execution Framework, Partitioners and Combiners, Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs), Output Formats (TextOutput, BinaryOutPut, Multiple Output), Hadoop Project: MapReduce Programming.

Advance MapReduce:

Counters, Custom Writables, Unit Testing: JUnit and MRUnit testing framework, Error Handling, Tuning, Advance MapReduce, Hadoop Project: Advance MapReduce programming and error handling.

Pig and Pig Latin:

Installing and Running Pig, Grunt, Pig's Data Model, Pig Latin, Developing & Testing Pig Latin Scripts, Writing Evaluation, Filter, Load & Store Functions, Hadoop Project: Pig Scripting.

Hive and HiveQL:

Hive Architecture and Installation, Comparison with Traditional Database, HiveQL: Data Types, Operators and Functions, Hive Tables(Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables), Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries, Views, Map and Reduce side Joins to optimize Query).

Advance Hive, NoSQL Databases and HBase:

Data manipulation with Hive, User Defined Functions, Appending Data into existing Hive Table, Custom Map/Reduce in Hive, Hadoop Project: Hive Scripting, HBase: Introduction to HBase, Client API's and their features, Available Client, HBase Architecture, MapReduce Integration.

Advance HBase and ZooKeeper:

Advanced Usage, Schema Design, Advance Indexing, Coprocessors, Hadoop Project: HBase tables The ZooKeeper Service: Data Model, Operations, Implementation, Consistency, Sessions, States.

Hadoop 2.0, MRv2 and YARN:

Schedulers:Fair and Capacity, Hadoop 2.0 New Features: NameNode High Availability, HDFS Federation, MRv2, YARN, Running MRv1 in YARN, Upgrade your existing MRv1 code to MRv2, Programming in YARN framework

Who should attend

Any graduates or post graduates or working professionals with java background.

Pre-requisites

Basic knowledge on technical.

What you need to bring

Laptop With net connection.


Key Takeaways

Hands on experience in hadoop and bigdata

Date and Time

Not decided yet.

About the Trainer

Avg Rating

0 Reviews

0 Students

8 Courses

Mr .Gobi Krishnan

B.E.ECE from ANNA University.

5 Year of Progressive experience as a BI Consultant.

2 Year of experience as DBA Developer.

Hands on Experience in Informatica Technology and Cognos.

Worked in Global Talent Track, Chennai as a Technical Trainer

Corporate trainer of CTS, Hexaware, Capgemini, and Wipro.

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