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Big Data and Hadoop

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myTectra offers Big Data and Hadoop training in Bangalore using Class Room.

myTectra offers Live Online Big Data and Hadoop training Globally.

Big Data and Hadoop training Unlike traditional systems, Big Data and Hadoop enables multiple types of analytic workloads to run on the same data, at the same time, at massive scale on industry-standard hardware.myTectra Big Data and Hadoop training is designed to help you become a expert Hadoop developer. myTectra offers Big Data Hadoop Training in Bangalore using Class Room. myTectra offers Live Online Big Data and Hadoop training Globally.


Chapter 1: Understanding Big Data and Hadoop
Big Data
Limitations and Solutions of existing Data Analytics Architecture
Hadoop
Hadoop Features
Hadoop Ecosystem
Hadoop 2.x core components
Hadoop Storage: HDFS
Hadoop Processing: MapReduce Framework
Hadoop Different Distributions
Chapter 2:Hadoop Architecture and HDFS
Hadoop 2.x Cluster Architecture - Federation and High Availability
A Typical Production Hadoop Cluster
Hadoop Cluster Modes
Common Hadoop Shell Commands
Hadoop 2.x Configuration Files
Single node cluster and Multi node cluster set up Hadoop Administration
Chapter 3: Hadoop MapReduce Framework
MapReduce Use Cases
Traditional way Vs MapReduce way
Why MapReduce
Hadoop 2.x MapReduce Architecture
Hadoop 2.x MapReduce Components
YARN MR Application Execution Flow
YARN Workflow
Anatomy of MapReduce Program
Demo on MapReduce
Input Splits
Relation between Input Splits and HDFS Blocks
MapReduce: Combiner & Partitioner
Demo on de-identifying Health Care Data set
Demo on Weather Data set
Chapter 4: Advanced MapReduce
Counters
Distributed Cache
MRunit
Reduce Join
Custom Input Format
Sequence Input Format
Xml file Parsing using MapReduce
Chapter 5: Pig
About Pig
MapReduce Vs Pig
Pig Use Cases
Programming Structure in Pig
Pig Running Modes
Pig components
Pig Execution
Pig Latin Program
Data Models in Pig
Pig Data Types
Shell and Utility Commands
Pig Latin : Relational Operators
File Loaders, Group Operator
COGROUP Operator
Joins and COGROUP
Union
Diagnostic Operators
Specialized joins in Pig
Built In Functions ( Eval Function, Load and Store Functions, Math function, String Function, Date Function, Pig UDF, Piggybank, Parameter Substitution ( PIG macros and Pig Parameter substitution )
Pig Streaming
Testing Pig scripts with Punit
Aviation use case in PIG
Pig Demo on Healthcare Data set
Chapter 6:Hive
Hive Background
Hive Use Case
About Hive
Hive Vs Pig
Hive Architecture and Components
Metastore in Hive
Limitations of Hive
Comparison with Traditional Database
Hive Data Types and Data Models
Partitions and Buckets
Hive Tables(Managed Tables and External Tables)
Importing Data
Querying Data
Managing Output
Hive Script
Hive UDF
Retail use case in Hive
Hive Demo on Healthcare Data set
Chapter 7:Advanced Hive and HBase
Hive QL: Joining Tables
Dynamic Partitioning
Custom Map/Reduce Scripts
Hive Indexes and views Hive query optimizers
Hive : Thrift Server, User Defined Functions
HBase: Introduction to NoSQL Databases and HBase
HBase v/s RDBMS
HBase Components
HBase Architecture
Run Modes & Configuration
HBase Cluster Deployment
Chapter 8:Advanced HBase
HBase Data Model
HBase Shell
HBase Client API
Data Loading Techniques
ZooKeeper Data Model
Zookeeper Service
Zookeeper
Demos on Bulk Loading
Getting and Inserting Data
Filters in HBase
Chapter 9:Processing Distributed Data with Apache Spark
What is Apache Spark
Spark Ecosystem
Spark Components
History of Spark and Spark Versions/Releases
Spark a Polyglot
What is Scala?
Why Scala?
SparkContext
RDD
Chapter 10:Oozie and Hadoop Project
Flume and Sqoop Demo
Oozie
Oozie Components
Oozie Workflow
Scheduling with Oozie
Demo on Oozie Workflow
Oozie Co-ordinator
Oozie Commands
Oozie Web Console
Oozie for MapReduce
PIG
Hive, and Sqoop
Combine flow of MR
PIG
Hive in Oozie
Hadoop Project Demo
Hadoop Integration with Talend

To Learn Live Online Big Data and Hadoop training Globally and Big Data and Hadoop training in Bangalore using Class Room, ENROLL TODAY at myTectra.

 

Customer Reviews

7 Item(s)

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good place to acquire advanced skills Review by Tarun Kohli
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Well me tarun kohli just want to say some words about the hadoop trainer vasant.He is very loyal to us and gives a better environment of teaching .Well now i am very much familiar with the concepts of Big data & Hadoop.And he is also a very good friend to us.
All in all it is a good experience of getting studied by vasant sir.
Thank you
good institute in bangalore Review by Nivetha Umesh
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Value
Quality
Best institute....i like very much.....i got lot of informations .....Keep it up....
Thanks to MyTectra Review by sowmya nambiar
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Quality
i undergone a course big data hadoop. they are more professional and i got a career experience.Thanks to MyTectra
First of all i am thanking to mytectra for having good staff Review by vinith shettigar
Price
Value
Quality
over all good experience with mytectra"
They are providing a awesome training.
Trainer is too good.I got good knowledge from my course.I really thankful to support team who approaching is too professional.
Much satisfied with mytectra.
this institute is right choice to get right career Review by Umesh Manisekaran
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Value
Quality
Had Good experience with mytectra, my trainer is Ms.Chinmayee, really good teaching skills she has...!!! Support team was helpful ,really good & supportive...!!! Mr.venkat(MD)is very polite and helpful.this institute is right choice to get right career
Good Institute for Learning Review by SURESH BABU
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Just finished Course in MyTectra, Good Institute for Learning , Trainer Rohit Prakash is good, Excellent support for Practical Sessions from MyTectra...Good Experience
Good luck to mytectra. Review by saranya TS
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Value
Quality
I have taken a Big data hadoop Course in mytectra.My trainer name is Mr,Amar preeth.He is such a awesome trainer ever seen.
They provide good Placement assistance here.
They refer job as a value added course as well.
Good luck to mytectra.

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myTectra flexible batch schedules enables you to start your class at your convenient date and time.


1. All the enrolled candidates must start the class by any date within 30 days from the date of enrollment.
2. Maximum of 3 Days will be taken by myTectra to schedule the batches from the date of schedule request from the candidate.
3. Individual Focus - Maximum 5 candidates allowed per batches
4. The candidate can request any one of the batch time slot from the below list
Batch Type Time Slab Hours/Day Time Zone Days
Regular Morning 6.30 AM - 9.30 AM Anytime Maximum 2 Hrs IST Monday-to-Friday
Regular Evening 6.30 PM - 9.30 PM Anytime Maximum 2 Hrs IST Monday-to-Friday
Week End 6.30 AM - 9.30 PM Anytime Maximum 3 Hrs IST Saturday,Sunday
Fast Track-Morning 6.30 AM - 9.30 AM Anytime Maximum 2 Hrs IST Monday-to-Saturday
Fast Track-Evening 6.30 PM - 9.30 PM Anytime Maximum 2 Hrs IST Monday-to-Saturday
Customized Batch Customized Timing Customized Hrs IST Customized Days

Note : We can schedule your batch anytime on Saturday and Sunday between 6.30 AM 9.30 PM at your convenient time


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