Hadoop Training Institutes in Btm Layout, Bangalore


As the world around witnesses a rapid escalation in the field is Big Data and Data Analytics, Hadoop which is an open source software framework is also gaining prominence. Hadoop offers a pathway for storing and processing the large chunks of data that are being constantly produced around the globe. This framework which is based on the Map Reduce combats the bulky volume of data through a mechanism of distributed storage. The added advantage of Hadoop is that it takes account the possibility of hardware failures and safeguards the data from such threats. Though the primary utility of Hadoop has been in data storage it holds potential in other fields as well. These include data discovery, ETL , predictive analysis etc. Learn Hadoop training in BTM Layout, Bangalore from experts and working professionals only at ITrain Technologies.
Big data Hadoop training in bangalore holds great employment prospects for the future. It also goes without saying that a sound knowledge of Hadoop is going to be compulsory for any aspiring Big Data professional. It is also a field that promises a good pay check. People with a strong knowledge of Hadoop are more likely to find well paid jobs. The framework offers employment in industry in the form of Hadoop developers, Hadoop architects, Data Scientists etc. The fact that Hadoop is being used for data warehousing and other services by global majors in the field of technology proves that there shall be no dearth in employment opportunities for a Hadoop qualified professional. Top Multinational Corporations such as Facebook, IBM, Amazon, Dell, Yahoo, Google etc are reliant of this framework for their Big Data activities.

Our institution offers an exciting course in Hadoop training BTM Layout, Bangalore keeping in mind the vast number of job prospects it holds. We offer you the following:

  • A course structure that will grant you sound knowledge of all the essentials of the Hadoop framework.
  • Faculty who are well versed in the fields of Big Data and Hadoop framework.
  • An industry oriented approach that will guarantee you an edge over your peers once you enter the industry.
  • Flexibility In class timings so as to suit the requirements of the students.
  • Tested methodology and disciplined approach.
In a changing world that is tilting towards Big Data and analytics, a command over the Hadoop framework would definitely be a boost to your arsenal. Our institute offers the best possible environment for imparting to you the necessary know-how and boosting your confidence in the fields of Big Data and Data Science. We guarantee you the best learning experience that you can ever imagine.

Syllabus

SECTION 1: Introduction
  • Big Data
  • 3Vs
  • Role of Hadoop in Big data
  • Hadoop and its ecosystem
  • Overview of other Big Data Systems
  • Requirements in Hadoop
  • UseCases of Hadoop
SECTION 2: HDFS
  • Design
  • Architecture
  • Data Flow
  • CLI Commands
  • Java API
  • Data Flow Archives
  • Data Integrity
  • WebHDFS
  • Compression
SECTION 3: MapReduce
  • Theory
  • Data Flow (Map – Shuffle – Reduce)
  • Programming [Mapper, Reducer, Combiner, Partitioner]
  • Writables
  • InputFormat
  • Output format
  • Streaming API
SECTION 4: ADVANCED MAPREDUCE PROGRAMMING
  • Counters
  • custom input format
  • Distributed Cache
  • Side Data Distribution
  • Joins
  • Sorting
  • ToolRunner
  • Debugging
  • Performance Fine tuning
SECTION 5: ADMINISTRATION – Information required at the Developer level
  • Hardware Considerations – Tips and Tricks
  • Schedulers
  • Balancers
  • NameNode Failure and Recovery
SECTION 6: HBase
  • NoSQL vs SQL
  • CAP Theorem
  • Architecture
  • Configuration
  • Role of Zookeeper
  • Java Based APIs
  • MapReduce Integration
  • Performance Tuning
SECTION 7: HIVE
  • Architecture
  • Tables
  • DDL – DML – UDF – UDAF
  • Partitioning
  • Bucketing
  • Hive-Hbase Integration
  • Hive Web Interface
  • Hive Server
SECTION 8: OTHER HADOOP ECOSYSTEMS
  • Pig (Pig Latin, Programming)
  • Sqoop (Need – Architecture, Examples)
  • Introduction to Components (Flume, Oozie,ambari)

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