BIG DATA-HADOOP Training


5 Star Rating: Recommended - Best Big Data Training in Chennai

BIG Data Hadoop training in Chennai provided by Credo Systemz is completely hands-on and practical training. Our Hadoop training and certification course content is designed with consideration of current industry Job requirements to provide in-depth knowledge on hadoop and big data modules training in Chennai. We have Certified Hadoop trainers having more than 10+ years of experience in IT industry to deliver effective Hadoop Training in Chennai for beginners and experienced candidates.

Credo Systemz places itself as No.1 Hadoop Training institute in Chennai. Our syllabus is combination of Hadoop Developer, Hadoop Administrator, Hadoop Testing, and Analytics training which is the effective way to provide big data training with placement in Chennai. Credo Systemz Hadoop training has received very high positive feedback and reviews for Hadoop Training which has helped our institute to provide more effective and Best Big Data Hadoop training and certification in Chennai, TamilNadu.

KEY FEATURES


  • Big Data Hadoop Course Duration: 70 Hrs
  • Big Data Hadoop Training with Hands on project execution.
  • Real time Hadoop projects.
  • Big Data Hadoop Training with Job assistance.
  • Training from highly qualified and certified trainers.

BIG DATA-HADOOP TRAINING COURSE MODULES


Section 1: INTRODUCTION TO BIG DATA-HADOOP

  • Overview of Hadoop Ecosystem
  • Role of Hadoop in Big data– Overview of other Big Data Systems
  • Who is using Hadoop
  • Hadoop integrations into Exiting Software Products
  • Current Scenario in Hadoop Ecosystem
  • Installation
  • Configuration
  • Use Cases ofHadoop (HealthCare, Retail, Telecom)

Section 2: HDFS

  • Concepts
  • Architecture
  • Data Flow (File Read , File Write)
  • Fault Tolerance
  • Shell Commands
  • Data Flow Archives
  • Coherency -Data Integrity
  • Role of Secondary NameNode

Section 3: MAPREDUCE

  • Theory
  • Data Flow (Map – Shuffle – Reduce)
  • MapRed vs MapReduce APIs
  • Programming [Mapper, Reducer, Combiner, Partitioner]
  • Writables
  • InputFormat
  • Outputformat
  • Streaming API using python
  • Inherent Failure Handling using Speculative Execution
  • Magic of Shuffle Phase
  • FileFormats
  • Sequence Files

Section 4: HBASE

  • Introduction to NoSQL
  • CAP Theorem
  • Classification of NoSQL
  • Hbase and RDBMS
  • HBASE and HDFS
  • Architecture (Read Path, Write Path, Compactions, Splits)
  • Installation
  • Configuration
  • Role of Zookeeper
  • HBase Shell  Introduction to Filters
  • RowKeyDesign -What’s New in HBase  Hands On

Section 5: HIVE

  • Architecture
  • Installation
  • Configuration
  • Hive vs RDBMS
  • Tables
  • DDL
  • DML
  • UDF
  • Partitioning
  • Bucketing
  • Hive functions
  • Date functions
  • String functions
  • Cast function Meta Store
  • Joins
  • Real-time HQL will be shared along with database migration project

Section 6: PIG

  • Architecture
  • Installation
  • Hive vs Pig
  • Pig Latin Syntax
  • Data Types
  • Functions (Eval, Load/Store, String, DateTime)
  • Joins
  • UDFs- Performance
  • Troubleshooting
  • Commonly Used Functions

Section 7: SQOOP

  • Architecture , Installation, Commands(Import , Hive-Import, EVal, Hbase Import, Import All tables, Export)
  • Connectors to Existing DBs and DW

Section 8: KAFKA

  • Kafka introduction
  • Data streaming Introduction
  • Producer-consumer-topics
  • Brokers
  • Partitions
  • Unix Streaming via kafka

Section 9: OOZIE

  • Architecture
  • Installation
  • Workflow
  • Coordinator
  • Action (Mapreduce, Hive, Pig, Sqoop)
  • Introduction to Bundle
  • Mail Notifications

Section 10: HADOOP 2.0 and Spark

  • Limitations in Hadoop
  • 1.0 – HDFS Federation
  • High Availability in HDFS
  • HDFS Snapshots
  • Other Improvements in HDFS2
  • Introduction to YARN aka MR2
  • Limitations in MR1
  • Architecture of YARN
  • MapReduce Job Flow in YARN
  • Introduction to Stinger Initiative and Tez
  • BackWard Compatibility for Hadoop 1.X
  • Spark Fundamentals
  • RDD- Sample Scala Program- Spark Streaming

Big Data Definition

Big data is data that is too large to process using traditional methods. In other words, they are extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
Big data is difficult to work with using most relational database management systems and desktop statistics and visualization packages, requiring instead “massively parallel software running on tens, hundreds, or even thousands of servers”

Let’s Take an example:

An example of big data might be petabytes (1,024 terabytes) or exabytes (1,024 petabytes) of data consisting of billions to trillions of records of millions of people—all from different sources (e.g. Web, sales, customer contact center, social media, mobile data and so on).

Why Big Data?

The data is typically loosely structured data that is often incomplete and inaccessible. When dealing with larger datasets, organizations face difficulties in being able to create, manipulate, and manage big data. Big data is particularly a problem in business analytics because standard tools and procedures are not designed to search and analyze massive data sets.
Thus Big Data analytics is much needed one in order to handle these large datasets of information.

Big Data – Hadoop

As mentioned above Big Data is a problem in business analytics to handle because standard tools and procedures are not designed to work with these big amount of data, so in this case we need a tool to handle the data, hence we use an open source framework based on Java programming language called HADOOP.

What is HADOOP ?

Hadoop is an open source Java based programming framework which supports processing of large datasets in different distributed networking environments.

Significance of HADOOP

  • It has the capacity to tolerate high degree of errors
  • It has the capacity to run on systems which involves large number of nodes and trillion bytes of memory
  • It has the capacity to reduce the risk of system failure even if significant number of nodes are affected

All of the above mentioned advantages are latest advancements in the field. As a technologist, we must be aware of all the ins and outs of rapid growing technology.
The best part is we are here to serve you in developing yourself in all the latest technologies by providing you the best possible Big Data training and job placement in Chennai.

Big Data Training Topics:

Big Data Hadoop Training topics designed in such a way to meet all the requirements of industry needs. We framed the syllabus that facilitates to the needs of beginners and advanced level professionals. The syllabus of our training module is job-oriented and practically hands-on.

Also you can able to select any specific topics which suits you.

Big Data Online Training:

CREDO SYSTEMZ also provides Big Data online training which consists of both Big Data Hadoop and Big Data Analytics.

Big Data Jobs:

Our training schedule was designed in the way which helps you out in Job placement as well. Hence it is ranked the best bigdata training institute in Chennai with placement. You can also visit our Job board for daily update of vacancies in MNCs throughout India.

Benefits of Hadoop Training Package – Credo Systemz


  • Professional approach towards training using latest techniques
  • Minimal batch strength to give individual attention to all
  • Unlimited lab / practice environment access provided to all candidates
  • Flexible batch schedule – Attend missed sessions with next batch
  • We provide free placement assistance because we care about your career

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See What Our Trained Big Data Candidates Says About Us

Let our customers do the talking!

Highly recommend it!

My Friend Suggested me CREDO SYSTEMZ. That he recently trained in Credo Systemz and placed in a MNC. All the trainers are very professional. The way they handle the classes are extra ordinary. Fees is also affordable. Credo is the best institute for Hadoop in Velachery — Thanks Rajasekar

Excellent course and I have learnt a lot from it

I done Hadoop training in this IT training centre -“credo systemz”, it really help us to understand both theoretically and practically. The training in this institute is very useful for my carrier ,as I am a student this training is also help for my placements. The concepts taught by my trainee are very clear and understandable.Credo Systemz is providing best Hadoop training in Chennai. Coaching given by the faculty is very effective. Thanks for CREDO SYSTEMZ for developing my practical knowledge.

Goutami

All the tutors are friendly and helpful

The course is well contented. The trainer is extremely knowledgeable. The trainer ensures that everyone is feeling comfortable with the topics. Trainer is very flexible to the timings of the individual’s commitments.The course is scheduled based on the individual’s capability. More hands-on exercises are provided almost on every day. Real time projects are discussed and executed. Truly worth for the money that we have spent! Thanks CREDO SYSTEMZ for helping us learning BIG DATA more than expected. Once again special thanks to the trainer for his tremendous efforts!

Lalitha

I learnt a lot on this course

I attended Big data hadoop course, training went on very well and I was able to explore in and out concepts in working with big data eco system. Trainer who taught me had a vast knowledge about the big data solutions and the exercise which the institute provided really helped me to understand the in depth idea of Big data. Trainer was very friendly and ready to provide help and support all the time. Never hesitated to clarify our questions. I would strong recommend this institute, if someone is looking for Big data hadoop training centre in Chennai.

Mutheen Hussain

It was an excellent course

Iam vijay, currently working for Techmahindra Ltd. I undergone hadoop training in CREDO SYSTEMZ, velachery. The trainer has good knowledge on hadoop training and he is very helpful in clearing all the doubts. He is giving overview on all the tools used in Big Data Hadoop training. Overall learning experience is good.

Vijay
Tech Mahindra

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