Apache Hadoop Training in Bangalore

Industries like Banking, Healthcare, Media and Entertainment, Education, Insurance, Retail and Wholesale trade are currently using big data technology to analyse their business data. Our Bigdata Hadoop training in Bangalore helps build and validate your data analytics skills with real-time practice sessions. Our Hadoop course syllabus has been designed by Hadoop specialists and Big data experts. We regularly update Hadoop syllabus to keep pace with the latest Bigdata upgrades. We assure that you will be learning the latest big data technology.

Apache Hadoop is one of the most popular and demanding and open source big data analytics technology that can be effectively applied to manage big data problems and achieve data solutions. It allows distributed data processing across clusters of computers using simple programming models. MapReduce is the heart of Hadoop that possesses massive scalability.

Student Review about Our Hadoop Training in Bangalore

I’m currently working as a Junior Java developer with 1.5 years of experience. As I was already good at Java, my Team Lead suggested me to learn Bigdata Hadoop; because we were going to get Bigdata Hadoop projects. My trainer was an Apache Hadoop expert. His training and support throughout the entire bigdata course really helped me very well to shift my career path. Now I have completed this course successfully and took an internal switch in my company itself. I’m feeling glad and satisfied about my Big data Hadoop course experience.

More about Bigdata and Hadoop Training in Bangalore! 

• Big data Hadoop involves in data collection, data processing and data analytics using HDFS (Hadoop Distributed File System) and MapReduce algorithms.
• Collection of massive unstructured data from multiple sources and conversion of raw data into user preferable format are the two primary operations performed by Apache Hadoop.
• We are the best training institute in Bangalore for Hadoop where you will be exposed to differentiated learning environment as our Hadoop course syllabus has been prepared by the highly experienced professionals. With this Hadoop course, you can learn about Hadoop installation, MapReduce algorithms, MongoDB, HDFS, Flume, Zookeeper, SQOOP and lot more. Please check below for the detailed syllabus.
• Apart from this Hadoop training, we also train students with Big Data Analytics Course, Data Science Course and Machine Learning Course based on the student’s interest in bigdata courses.

Prerequisites to Get Bigdata Hadoop Training in Bangalore

• Basic knowledge on Core Java, Linux and Networking.
• If you are already familiar with the above, this course will be quite easy for you to grasp the concepts quickly. Otherwise, our experts are here to help you with Java training  and Linux training along with our Hadoop course in Bangalore.

Hadoop Training in Bangalore with Jobs and Placements

Bigdata Hadoop is suitable for experienced people, who have key skills on data analytics, Java programming and RDBMS concepts. In the current IT market, there are plenty of Hadoop jobs and Hadoop placement opportunities in Bangalore for the experienced professionals who are aware of the above technologies.

• If you possess strong Big Data Hadoop experience with Oracle and SQL, you can get job as Hadoop developer.
• If you possess Hadoop as co-skill with Python, Web services and AWS – solution architect, you can get job as AWS Hadoop developer.
• If you possess Hadoop as a co-skill with Splunk, Unix, you can get job as Big Data Engineer or Apache Hadoop Developer.
• If you possess excellent administration skills in Hadoop, you can get job as Hadoop Admin.
• Some of the companies that hire for Big Data Hadoop are JP Morgan, Altisource, Accenture, Akamai, Ocwen, Mphasis, Capgemini, Oracle, IBM, TCS.

Compared to other Big Data Hadoop training institutes in Bangalore, We are the best Hadoop training institute where you can acquire the best Bigdata training in Bangalore, expert’s guidance and 100% placement guidance.

What is Special about the Hadoop Training Course in Bangalore? 

• Global Training Bangalore Academy is the only training institute providing the best Hadoop training in Bangalore. They have top experienced industrial professionals as their Hadoop trainers; they are working in top rated MNCs and Corporates with years of real time experience. So they will surely boost you to become the best Hadoop developer.
• As the trainers are all currently working, the Hadoop training program will be usually scheduled during weekdays early mornings between 7AM to 10AM, weekdays late evenings between 7PM to 9:30PM and flexible timings in weekends. They provide Hadoop classroom training, Hadoop online training and Hadoop weekend training based upon the student’s time convenience. This training will make you to feel like obtaining the best Hadoop course and placement support with moderate Hadoop training cost in Bangalore.
• The practical sessions throughout the bigdata course will help you to enhance your technical skills and confidence. Their connections to the job world will surely help you achieve your dream job. So start putting your sincere efforts into practice and grab the wonderful Hadoop training and placement in Bangalore.

Hadoop Course Timing & Duration

Classroom Hadoop Training in Bangalore

Mon – Fri : 7 AM to 10 AM & 7 PM to 9.30 PM 

Sat & Sun : Flexible Timing

Duration : 30 – 35 hrs.

Online Hadoop Training in Bangalore

Mon – Fri : 7 AM to 10 AM & 7 PM to 9.30 PM 

Sat & Sun : Flexible Timing

Duration : 30 – 35 hrs.

Fast Track Hadoop Training in Bangalore

Duration : within 20 days.

Please contact us soon to book your preferable time slot.

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Hadoop Training Modes

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1.Overview of Big Data

• Big Data analytics project lifecycle – brief
• Hadoop Overview

2.Environment setup

• Setting up Single node cluster
• Setting up Multi node cluster
• Hadoop Distributed File System – HDFS

3.HDFS Overview

• HDFS Architecture, Operations
• Data Storage in Hadoop – Replication and Block storage
• Hadoop Daemons and its functionality
• Java based approach (Access HDFS through Java)
• Anatomy of a File Read
• Map Reduce

4.History of Map Reduce

• Map Reduce architecture – Programming paradigm
• Mapper and Reducer concepts
• Hadoop Daemons and its functionality
• Data types in Map Reduce
• Input and output formats of Map Reduce
• Different phases of Map Reduce
• Partitioner and Combiner
• Data Localization in Map Reduce
• Examples of Map Reduce program – Log Analysis
• MR Job Configurations

5.Sqoop

• Overview of Sqoop
• Sqoop Installation and configuration
• Importing data from RDBMS to HDFS
• Conditional based import
• Sqoop – to hive import
• Sqoop – Export to RDBMS
• Sqoop – Meta store
• Sqoop – Jobs configure and execution

6.YARN Framework

• Yarn Architecture
• Advantages of YARN over MR engine V1
• MR Job submission and execution procedure

7.Hive

• Introduction to Hive
• Hive Architecture
• RDBMS vs Hive
• Map Reduce Vs Apache Pig Vs Hive
• Hive shell and HiveQL(HQL)
• Hive server & Beeline client
• Tables Management (External Vs Managed tables)
• Schemas and data types
• Partitions (Static & Dynamic partitioning)
• Bucketing
• Different file formats – rc, orc, parquet, Json, text formats
• Hive – Built in functions
• Hive – User defined functions (UDF)
• HQL – Query execution plan & performance tuning

8.Introduction to NoSQL

• What is NoSQL Databases?
• Fixed schema(RDBMS) Vs Flexible Schema(NoSQL)
• Json (JavaScript Object Notation) format
• Ideas Behind MongoDB / Cassandra

9.HBase

• HBase Introduction
• HBase architecture
• HBase vs RDBMS (fixed Vs flexible schema)
• Master and Region servers
• HBase commands

10.Introduction to Apache Spark

• Introduction to Spark
• Apache Hadoop Vs Apache Spark
• Need for Spark
• Sample Programs to understand the advantages of Spark

11.Other Hadoop Ecosystem Components

• Overview of Apache Pig
• Overview of Flume
• Overview of Oozie
• Overview of Apache Kafka
• HADOOP DISTRIBUTIONS
• Overview & need for Cloudera (CDH) distribution
• Overview of Hortonworks (HDP)