Apache Hadoop Training in Marathahalli

Some of top industries like Banking, Education, Insurance, Retail, Healthcare, Wholesale trade, Media and Entertainment are currently using big data technology to analyse their business data. Our Bigdata Hadoop training in Marathahalli Bangalore help in building and validating your data analytics skills with real-time practice classes. Our Apache Hadoop course syllabus has been designed by real-time Hadoop specialists and Big data experts. We regularly update Hadoop course syllabus to keep pace with the latest Bigdata analytics up-gradations. We assure that you will be surely learning the latest data analytics technology.


Big Data Hadoop Training in Marathahalli Bangalore


Hadoop is an open source and demanding data analytics technology, emerging in the market nowadays. Hadoop has the capability to manage storage and perform data manipulation effectively. Its main purpose is to resolve Big Data problems and achieve data solutions. Distributed data processing across clusters of computers using simple programming models will be possible using Hadoop. MapReduce can be considered as “heart of Hadoop” as it possesses massive scalability. It performs data collection, data processing, data storage and data analytics using HDFS (Hadoop Distributed File System) and MapReduce algorithms. Collection of massive unstructured data from multiple sources can be parsed from raw data to user preferred format.

Hadoop Training in Marathahalli, Bangalore with the Best Placement Support

  • Make yourself strong in Hadoop and any database like MongoDB, Oracle, SQL Server to find opportunities for “Hadoop developer” jobs.
  • Start learning Python, Web services and AWS Solution architect along with Hadoop, you can make yourself eligible for “AWS Hadoop developer” jobs.
  • If you have strong Hadoop skills with Splunk, Unix, then you can find opportunities for “Big Data Engineer” jobs.
  • If you have excellent administration skills in Hadoop, you can get job as Hadoop admin.
  • If you have strong knowledge in Big Data – Hadoop and MongoDB, you can get job as Big Data MongoDB developer.
  • JP Morgan, Altisource, Accenture, Akamai, Ocwen, Mphasis, Capgemini, Oracle, IBM, TCS are some of the companies hire for Hadoop developers.
  • If you are a newbie to Hadoop, then you need comprehensive training and real time experience in any RDBMS for at least 3 years. This can help you meet the expectations of current market trends and demands.

TIB Academy is one of the best Hadoop training institutes in Marathahalli, Bangalore where you can expand your Hadoop training and job placements opportunities in Marathahalli and maximize the chances by acquiring the best support and training from us.

Best Training Institute for Hadoop Training in Marathahalli Bangalore

Classroom Training in Marathahalli Bangalore
Online Training in Marathahalli Bangalore

Prerequisites to Acquire the Best Hadoop Training in Marathahalli

  • Core Java, RDBMS and Linux knowledge.
  • If you are already familiar with the above, this course will be easier for you to learn. Otherwise, our experienced professionals are here to teach you and coach you right from the Hadoop fundamentals.

Get Hadoop Training in Marathahalli from Basic Fundamentals

We provide the best Hadoop training and placements in Marathahalli, Banagalore. We have listed some of the prerequisite Hadoop questions to prepare and evaluate yourself before enrolling our Hadoop course in Marathahalli.

  1. What is meant by Object Oriented Programming?
  2. What is collections in Core Java?
  3. List out few operations of String class in Java?
  4. What are the DML operations in RDBMS?
  5. What are the types of joins in RDBMS and explain each.

Special about Our Hadoop Training in Marathahalli and Placement Assistance

TIB Academy is the best Hadoop training institute in Marathahalli. Our trainers are highly experienced professionals. Currently, they are all working in top rated MNCs and Corporates, carrying years of real time industry experience in their particular technologies. In this Hadoop training in Marathahalli, you will be experiencing a differentiated learning environment. Our Hadoop syllabus includes Hadoop installation, MapReduce algorithms, MongoDB, HDFS, Flume, Zookeeper, SQOOP and lot more. For the detailed Hadoop course syllabus, please check below.

Usually, our Hadoop training course in Marathahalli are scheduled during weekday mornings (7AM – 10AM), weekday evenings (7PM – 9:30PM) and weekends (flexible timings). We do provide Hadoop classroom training and Hadoop online training, both on weekdays and weekends based upon the student’s preferred time slots.

You will surely enhance your technical skills and confidence with this Hadoop training in Marathahalli. Our connections and networks in the job market will help you to achieve your dream job easily. Compared to other training institutes, we are offering the best Hadoop course in Marathahalli, Bangalore, where you can get the best Hadoop training in Marathahalli with placement guidance at reasonable and affordable Hadoop training cost in Marathahalli.

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Hadoop Training in Marathahalli Syllabus

Session 1 : Introduction to Big Data

  • Importance of Data
  • ESG Report on Analytics
  • Big Data & It’s Hype
  • What is Big Data?
  • Structured vs Unstructured data
  • Definition of Big Data
  • Big Data Users & Scenarios
  • Challenges of Big Data
  • Why Distributed Processing?

Session 2: Hadoop

  • History Of Hadoop
  • Hadoop Ecosystem
  • Hadoop Animal Planet
  • When to use & when not to use Hadoop
  • What is Hadoop?
  • Key Distinctions of Hadoop
  • Hadoop Components/Architecture
  • Understanding Storage Components
  • Understanding Processing Components
  • Anatomy Of a File Write
    Anatomy of a File Read

Session 3 : Understanding Hadoop Cluster

  • Handout discussion
  • Walkthrough of CDH setup
  • Hadoop Cluster Modes
  • Hadoop Configuration files
  • Understanding Hadoop Cluster configuration
  • Data Ingestion to HDFS

Session 4 – MapReduce

  • Meet MapReduce
  • Word Count Algorithm – Traditional approach
  • Traditional approach on a Distributed system
  • Traditional approach – Drawbacks
  • MapReduce approach
  • Input & Output Forms of a MR program
  • Map, Shuffle & Sort, Reduce Phases
  • Workflow & Transformation of Data
  • Word Count Code walkthrough

Session 5 – MapReduce

  • Input Split & HDFS Block
  • Relation between Split & Block
  • MR Flow with Single Reduce Task
  • MR flow with multiple Reducers
  • Data locality Optimization
  • Speculative Execution

Session 6 – Advanced MapReduce

  • Combiner
  • Partitioner
  • Counters
  • Hadoop Data Types
  • Custom Data Types
  • Input Format & Hierarchy
  • Output Format & Hierarchy
  • Side Data distribution – Distributed cache

Session 7 – Advanced MapReduce

  • Joins
  • Map side Join using Distributed cache
  • Reduce side Join
  • MR Unit – An Unit testing framework

Session 8 – Mockup Interview Session
Session 9 – Pig

  • What is Pig?
  • Why Pig?
  • Pig vs Sql
  • Execution Types or Modes
  • Running Pig
  • Pig Data types
  • Pig Latin relational Operators
  • Multi Query execution
  • Pig Latin Diagnostic Operators

Session 10 – Pig

  • Pig Latin Macro & UDF statements
  • Pig Latin Commands
  • Pig Latin Expressions
  • Schemas
  • Pig Functions
  • Pig Latin File Loaders
  • Pig UDF & executing a Pig UDF

Session 11 – Hive

  • Introduction to Hive
  • Pig Vs Hive
  • Hive Limitations & Possibilities
  • Hive Architecture
  • Metastore
  • Hive Data Organization
  • Hive QL
  • Sql vs Hive QL
  • Hive Data types
  • Data Storage
  • Managed & External Tables

Session 12 – Hive

  • Partitions & Buckets
  • Storage Formats
  • Built-in Serdes
  • Importing Data
  • Alter & Drop Commands
  • Data Querying

Session 13 – Hive

  • Using MR Scripts
  • Hive Joins
  • Sub Queries
  • Views
  • UDFs

Session 13 – Resume Preparation

Session 14 – HBase & Introduction to MongoDB

  • Introduction to NoSql & HBase
  • Row & Column oriented storage
  • Characteristics of a huge DB
  • What is HBase?
  • HBase Data-Model
  • HBase vs RDBMS
  • HBase architecture
  • HBase in operation
  • Loading Data into HBase
  • HBase shell commands
  • HBase operations through Java
  • HBase operations through MR
  • Introduction to MongoDB
  • Basic Commands used in it

Session 15 – ZooKeeper & Oozie

  • Introduction to Zookeeper
  • Distributed Coordination
  • Zookeeper Data Model
  • Zookeeper Service
  • Zookeeper in HBase
  • Introduction to Oozie
  • Oozie workflow

Session 16 – Sqoop & Flume

  • Introduction to Sqoop
  • Sqoop design
  • Sqoop Commands
  • Sqoop Import & Export Commands
  • Sqoop Incremental load Commands
  • Introduction to Flume
  • Architecture & its Components
  • Flume Configuration & Interceptors

Session 17 – Hadoop 2.0 & YARN

  • Hadoop 1 Limitations
  • HDFS Federation
  • NameNode High Availability
  • Introduction to YARN
  • YARN Applications
  • YARN Architecture
  • Anatomy of an YARN application

Session 18 – Hands On Using Ubuntu

  • Installing Hadoop 2.2 on the Ubuntu
  • Installing Eclipse and Maven
  • Setting up the configuration files
  • Installation of Pig,Hive,Sqoop,Flume,oozie and zookeper
  • Installation of NoSql database – HBase
  • Hadoop Commands

Session:19 Introduction to Spark

  • What is Big Data?
  • What is Spark?
  • Why Spark?
  • Spark Ecosystem
  • A note about Scala
  • Why Scala?
  • MapReduce vs Spark
  • Hello Spark!

Session 20 – Project Discussion

  • Java to MapReduce Conversion
  • MapReduce Project

Session 21 – Project Discussion

  • Hive Project
  • Pig Project

Session 22 – Mockup Interview Session
Course

Best Bigdata Hadoop Training Institute in Bangalore with Placements

TIB Academy is the best Hadoop training center in Bangalore providing some of the top Hadoop interview questions as follows. These Hadoop interview questions has been prepared by our well-qualified Hadoop trainers who are working in top companies as Hadoop developers. Ar the end of your Hadoop training in Marathahalli, we provide you free interview sessions to improve your confidence level.

  1. What is meant by under replicated blocks?
  2. Write the HDFS command to get the hadoop fs statistics.
  3. What is the difference between put and copyFromLocal hdfs commands? Give an example.
  4. What is called as safe-mode in namenode. When the namenode goes to safe mode. Give the command to turn on and turn off the safe mode.
  5. What is called as speculative execution?
  6. What is the communication channel between client and Namenode/datanode?
  7. If there are 10 HDFS blocks to be copied from one machine to another. However, the other machine can copy only 7.5 blocks, is there a possibility for the blocks to be broken down during the time of replication?
  8. What is difference between managed and external tables in Hive?
  9. Can we manually insert 5 rows hive table? If so, explain the process an working of inserting operation in hive.
  10. What is a metastore in Hive?
  11. Is it possible to access hadoop hdfs from hive shell?
  12. What is the difference between partitioning and bucketing in hive?
  13. What are the various diagnostic operators available in Apache Pig? Explain each.
  14. What are the different execution modes available in Pig?
  15. Does pig support parameterization?
  16. How can you execute a free form SQL query in Sqoop to import the rows in a sequential manner?
  17. What is the use of sqoop eval tool?
  18. I have around 300 tables in a database. I want to import all the tables from the database except the tables named Table298, Table 123, and Table299. How can I do this without having to import the tables one by one?
  19. I have 20000 records in a table. I want copy them to two separate files (records equally distributed) into HDFS (using Sqoop).  How do we achieve this, if table does not have primary key or unique key?
  20. If the source data gets updated every now and then how will you synchronise the data in HDFS that is imported by Sqoop?

Training Marathahalli Academy is one of the best bigdata Hadoop training institutes in Marathahalli Bangalore, providing the best Hadoop certification training course in Marathahalli Bangalore. Our professionally designed syllabus enables you to get the best Hadoop course with placements in Marathahalli Bangalore, flexible Hadoop course duration in Marathahalli and affordable Hadoop course fees in Marathahalli. Students can choose to get Hadoop classes from Hadoop classroom training in Marathahalli or Hadoop online training in Marathahalli.

We help the students with popular Hadoop interview questions at the end of the course, to help them get the best Hadoop training, jobs and placements in Marathahalli Bangalore. We also provide Hadoop Admin training in Marathahalli for students who are interested. For professionals who want to extend their career to a level above, we provide big data analytics training in Marathahalli, Advanced Hadoop training in Marathahalli and Hadoop Apache Spark training in Marathahalli. 

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