Detailed Syllabus In Big Data Training In Pune

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Hadoop Training in Pimple Saudagar is a pioneer in Hadoop course that has gained immense popularity in the market. With the emergence of huge amount of data, it is necessary to gather it collectively and no other technology is as efficient as Hadoop. Basically, Hadoop is a big data mechanism that processes and stores data with the assistance of commodity hardware. In the present informative scenario, more than half of the total data is unformatted and kept in a haphazard manner. Learning Hadoop technics will give you an idea of structuralizing data which is kept as Big Data.
Course Syllabus

Big Data Training in Pune comprises of a vast syllabus such as –

·         Hadoop fundamentals – big data, the evolution of big data, types of data, history of Hadoop, Hadoop cluster modes, Hadoop significance and installation, Hadoop cluster demo, etc.

·         Hadoop java API – composite join, custom input format, sequence input format, Hadoop classes, mapper class and its method, understanding input splits, word count examples, etc.

·         Working with pig latin – introduction and history of pig latin, pig components, pig running modes, complex data types, pig specific methods, pig execution, union, eval function, load and store functions, etc.

·         Working with pig latin (advanced) – flatten operator, multilevel sort, joining data sets, data validation scripts, the analogy of a sort operation, etc.

·         Working with hive – hive vs. pig, installation and configuration, hive commands, importing data, querying data, indexing, statistics with the hive, etc.

·         Advanced hive – hive architecture, complex uses case in hive, OLAP in hive, user-defined functions, understanding hive releases, etc.

·         Hadoop on Amazon Cloud – cloud infrastructure, choosing a size of our instance, deploying project and getting stats, creating S3 buckets, etc.

·         HBase and Zookeeper – HBase components, HBase architecture, HBase shell, available client, zookeeper service, columns and column families, how messaging system works, etc.

·         Sqoop – Sqoop and its uses, advantages of Sqoop, Sqoop alternative, Sqoop connector, etc.

·         Flume–flume model, flume goals, flume data integration, etc.

Big Data Hadoop classes in Bangalore also possess similar syllabus that is sure to enhance your brilliance in planning messed up data.


The Big Data Hadoop classes in Bangalore give you ample job opportunities for experts in software engineering in the arena of Big Data and Hadoop with huge profit and benefit. You can get employed as a Hadoop architect, Hadoop developer, Hadoop scientist, Hadoop administrator, Hadoop engineer, Hadoop analyst, etc. Although these training courses require good analytical skills, basic understanding of UNIX, SQL scripting, yet these courses are ready to prepare you for the root. 

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