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Bigdata training Jaya Nagar Bangalore, bigdata training institutes Jaya Nagar Bangalore

List of Best Bigdata training Jaya Nagar Bangalore, bigdata training institutes Jaya Nagar Bangalore with address, Phone numbers, course fee, student reviews and training course learning at Jaya Nagar area in Bangalore City. As of April 19, 2018, We have total of 21 Bigdata training institutes in and around also near to Jaya Nagar in Bangalore.

 

 

training institutes IT Skills Training Services
Bangalore - Jaya Nagar

 

Best training institute

 

IT Skills Training Services at Jaya Nagar - live discussions photo_11439 IT Skills Training Services at Jaya Nagar - training room photo_9618 IT Skills Training Services at Jaya Nagar - experienced trainers photo_9617 
Address: 1st Floor, 33rd Cross, 10th Main, , 4th Block, Jaya Nagar Bangalore-560011

We enabled the organisation to develop program curriculum that use cutting-edge instructional design methodologies and training delivery. IT Skills Training Services provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Jaya Nagar.
 
training institutes HI PRESTIGE
Bangalore - Jaya Nagar

 

Best training institute

 

HI PRESTIGE at Jaya Nagar - center entrance	 photo_15962 HI PRESTIGE at Jaya Nagar - training room	 photo_15964 HI PRESTIGE at Jaya Nagar - institute building photo_15965 
Address: #1612,1st floor,9th block, East end main road ,Jayanagar East Bangalore-560069

HI PRESTIGE provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Jaya Nagar.
 
training institutes IIHT - Jayanagar
Bangalore - Jaya Nagar

 

Best training institute

 

IIHT - Jayanagar at Jaya Nagar - center entrance	 photo_17316 IIHT - Jayanagar at Jaya Nagar - class room	 photo_17314 IIHT - Jayanagar at Jaya Nagar - training room	 photo_17313 
Address: 21, Diamond Arcade, 32nd D cross, Jayanagar 4th Bangalore-560041

IIHT - Jayanagar provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Jaya Nagar.
 
training institutes Systems Domain - Head Office
Bangalore - Jaya Nagar

 

Best training institute

 

Systems Domain - Head Office at Jaya Nagar - computer lab	 photo_2889 Systems Domain - Head Office at Jaya Nagar - theory class	 photo_2887 Systems Domain - Head Office at Jaya Nagar - center entrance	 photo_2888 
Address: Head Office, Jayanagar 3rd block, Lucky paradise building, 4th floor, Jaya Nagar, Bangalore-560011 google map of 8726

Established in the year 1997, System Domain is headquartered in Bangalore and has more than twelve training institutes located across India. Awarded an ISO 9001 in 2008 Systems Domain - Head Office provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Jaya Nagar.
 
training institutes TECSACON Technologies
Bangalore - Jaya Nagar East

 

Best Institute

 

TECSACON Technologies at Jaya Nagar East -  class room photo_13828 TECSACON Technologies at Jaya Nagar East - 	course contents photo_13818 TECSACON Technologies at Jaya Nagar East - 	course contents photo_13817 
Address: # 1363, Shravanthi Onyx1, 3rd Floor, 100 Feet Ring Road, 9th Block Jaya Nagar East Bangalore-560038 google map of 9722
TecSaCon is an emerging IT Consulting Company operating with a multiple line of business mainly – Training, Staffing Solutions & Consulting The company came into existence in the year 2010. TECSACON Technologies provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Jaya Nagar East.
 
training institutes Inventateq - Best Training Institute
Bangalore - BTM Layout

 

Best Institute

 

Inventateq - Best Training Institute at BTM Layout - class room	 photo_10387 Inventateq - Best Training Institute at BTM Layout - institute name board	 photo_10313 Inventateq - Best Training Institute at BTM Layout - liv photo_10389 
Address: 687, 1st floor, 29th Main, , 2nd Stage BTM Layout Bangalore-560041 google map of 5697

For nearly half a decade, InventaTeq has been NO.1 & Best Software Training Institute offering 100% Guaranteed JOB Placements, Cost-Effective, Quality & Real time Training courses on Software Testing Inventateq - Best Training Institute provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at BTM Layout.
 
 
training institutes IGeekS Technologies
Bangalore - Malleswaram

 

Best Institute

 

IGeekS Technologies at Malleswaram - institute name board photo_4588 IGeekS Technologies at Malleswaram - training room	 photo_11704 
Address: No:19,MN Complex,2nd Cross,Sampige Main Road,Malleswaram
IGEEKS is a Bangalore based Training & Recruitment company. We offers osoftware training courses starting from absolute beginner level to advanced levels. IGeekS Technologies provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Malleswaram.
 
training institutes My Bright Way
Bangalore - BTM Ist Stage

 

Best Institute

 

My Bright Way at BTM Ist Stage -  photo_17693 
Address: 1202/1203, 2nd floor, 20th main, Maruthi nagar gangothri circle , BTM Ist Stage Bangalore-560029
My Bright Way provides placement Bigdata training in Jaya Nagar training classes at BTM Ist Stage.
 
training institutes Ethical Hacking Institute
Bangalore - Jaya Nagar
No Reviews. Write a Review

 

training institute

Ethical Hacking Institute provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Jaya Nagar.
 
 
training institutes TCS ION
Bangalore - Jaya Nagar
No Reviews. Write a Review

 

training institute
TCS ION provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Jaya Nagar.
 
training institutes Aptech computer education-jayanagar
Bangalore - Jaya Nagar
No Reviews. Write a Review

 

training institute

 

Aptech computer education-jayanagar at Jaya Nagar - center entrance photo_14377 Aptech computer education-jayanagar at Jaya Nagar - 	institute name board photo_14728 Aptech computer education-jayanagar at Jaya Nagar - 	institute name board photo_14378 
Aptech computer education-jayanagar provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Jaya Nagar.
 
training institutes Kratoes Technologies
Bangalore - Jaya Nagar
No Reviews. Write a Review

 

training institute
Kratoes Technologies provides placement Bigdata training in Jaya Nagar , Apache Cassandra, Puppet, Apache Spark, BigData Certification, Big Data Analytics training classes at Jaya Nagar.
 
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Bigdata related Training courses in jaya-nagar

 

 

 

 

 

Bigdata training centers in jaya-nagar, bangalore - Training Reviews

Find the training reviews of best Bigdata training institute in bangalore jaya-nagar and training placement reviews of Bigdata course training centers in jaya-nagar bangalore

 
Laharikrishna N  4 Star Rating: Best Training (4-Best Training)
I have enquired a lot of other institutes and found that IT Skills is the best option.
Institute reviewed : IT Skills Training Services in Bangalore for Bigdata training in Bangalore
 
 
Preethi 5 Star Rating: Excellent Training (5-Excellent Training)
Attended the demo in many institutes. trainers were not able to answers for basic questions also. Later I Visited ITST and attended the demo. Now I am very happy with training provided by IT Skills. Thanks to IT Skills.
Institute reviewed : IT Skills Training Services in Bangalore for Bigdata training in Bangalore
 
 
Sanjay 5 Star Rating: Excellent Training (5-Excellent Training)
The Big Data Analytics Training program at IT Skills Training Services met my expectations, the faculties really helped us with the real life examples used in Industries. The support team and staff at IT Skills are very helpful.
Institute reviewed : IT Skills Training Services in Bangalore for Bigdata training in Bangalore
 
 
Ajeesh K 5 Star Rating: Excellent Training (5-Excellent Training)
The Big Data Analytics course offered by IT Skills Training Services is knowledge enriching. Course content and lectures were good and helped in understanding the course clearly and improved efficiency at work.
Institute reviewed : IT Skills Training Services in Bangalore for Bigdata training in Bangalore
 
 
Aravind 4 Star Rating: Best Training (4-Best Training)
Thanks to IT Skills for helping me to complete my Agile and Scrum Master certification,Trainer is very good.
Institute reviewed : IT Skills Training Services in Bangalore for Bigdata training in Bangalore
 
 
Ikbal Mohammed 4 Star Rating: Best Training (4-Best Training)
Perfect place to learn in depth knowledge on big data analytics Concepts. Excellent big data Training. Thanks for Immediate Placements also.I will recommend IT Skills for Big data analytics Course in Bangalore
Institute reviewed : IT Skills Training Services in Bangalore for Bigdata training in Bangalore
 
 
Vijay Patil 5 Star Rating: Excellent Training (5-Excellent Training)
I have completed Big Data Hadoop training course from IT Skills. Trainer was excellent who had industry experience and explained difficult topics with simple examples. I have to say course content very good and other support provided during and after training. I recommend IT Skills for big data hadoop course.
Institute reviewed : IT Skills Training Services in Bangalore for Bigdata training in Bangalore
 


 

Bigdata Placement training, Course fees, Trainer Profile in jaya-nagar

BIWHIZ institute located at jaya-nagar in bangalore offers 2 Months of Bigdata training course in Bangalore with 100% Placement Assistance.

Trainer has 13 years of experience in Data Science industry. He has worked on some major data warehousing, business intelligence, big data and analytics projects with some leading companies like CGI,

Course Objective

After completion of this course, you will be able to:

Learn about Big Data and why is it becoming so important now days.
Understand the differences between data science technologies like Business Intelligence, Data Warehousing, Analytics, Big Data and how they work together in a typical data science environment.
Learn the basic concepts behind Hadoop s hugely successful MapReduce Architecture.
Learn about Hadoop Architecture, Hadoop Ecosystem and Hadoop Family.
Learn Data Loading Techniques FLUME and SQOOP.
Learn Advanced MapReduce topics like MapReduce execution framework, MapReduce User Interfaces, Configuration, Job Environment, Hadoop Data Types etc.
Learn Pig and Pig Latin.
Learn Hive and HiveQL.
Learn NoSQL, HBase and Zookeeper.
Learn OOZIE and HCatalog.
Learn Hadoop 2.0, MRV2 (or YARN).
Learn how to Integrate Hadoop with Business Intelligence and Analytics tools.
Learn how to create Hadoop Cluster
Learn Hadoop Development Best practices.
Work on 17 comprehensive Lab Exercises on Hadoop and start writing your own programs using Hadoop.
Work on an end-to-end projects on Hadoop.
IT Skills Training Services institute located at jaya-nagar in bangalore offers 25 Day(s) of Bigdata training course in Bangalore with 100% Placement Assistance.

Over 10 years in IT Industry, Aiming at excellence in delivering quality knowledge, my strength is to inspire and motivate trainees, hence equip them with adequate technology and be successful. Ea

Module � 1: Introduction to Big Data and Hadoop

� What is Big Data?
� The Rise of Bytes
� Data Explosion and its Sources
� Types of Data � Structured, Semi-structured, Unstructured data
� Why did Big Data suddenly become so prominent
� Data � The most valuable resource
� Characteristics of Big Data � IBM�s Definition
� Limitations of Traditional Large-Scale Systems
� Various Use Cases for BigData
� Challenges of BigData
� Hadoop Introduction - What is Hadoop? Why Hadoop?
� Is Hadoop a fad or here to stay? - Hadoop Job Trends
� History and Milestones of Hadoop
� Hadoop Core Components � MapReduce& HDFS
� Why HDFS?
� Comparing SQL Database with Hadoop
� Understanding the big picture - Hadoop Eco-Systems
� Commercial Distribution of Hadoop � Cloudera, Hortonworks, MapR, IBM BigInsight, Cloud Computing - Amazon Web Services, Microsoft Azure HDInsight
� Supported Operating Systems
� Organizations using Hadoop
� Hands on with Linux FileSystem
� Hadoop Documentation and Resources


Module � 2: Getting Started with Hadoop Setup

� Deployment Modes � Standalone, Pseudo-Distributed Single node, Multinode
� Demo Pseudo-Distributed Virtual Machine Setup on Windows
� VMware Player - Introduction
� Install VMware Player
� Open a VM in VMware Player
� Hadoop Configuration overview
� Configuration parameters and values
� HDFS parameters
� MapReduce parameters
� YARN parameters
� Hadoop environment setup
� Environment variables
� Hadoop Security - Authentication/Authorization
� Hadoop Core Services � Daemon Process Status using JPS
� Overview of Hadoop WebUI
� Firefox Bookmarks
� Web Ports
� Eclipse development environment setup
� References


Module - 3: Hadoop Architecture and HDFS

� Introduction to Hadoop Distributed File System
� Regular File System v/s HDFS
� HDFS Architecture
� Components of HDFS - NameNode, DataNode, SecondayNameNode
� HDFS Features - Fault Tolerence, Horizontal Scaling
� Data Replication, Rack Awareness
� Setting up HDFS Block Size
� HDFS2.0 - High Availability, Federation
� Hands on with Hadoop HDFS,WebUI and Linux Terminal Commands
� HDFS File System Operations
� Name Node Metadata, File System Namespace, NameNode Operation,
� Data Block Split, Benefits of Data Block Approach, HDFS - Block Replication Architecture, Block placement, Replication Method, Data Replication Topology, Network Topology, Data Replication Representation
� Anatomy of Read and Write data on HDFS
� Failure and Recovery in Read/Write Operation
� Hadoop Component failures and recoveries
� HDFS Programming Basics � Java API
� Java API Introduction
� Hadoop Configuration API
� HDFS API Overview
� HDFS File CRUD API
� HDFS Directory CRUD API
� Accessing HDFS Programmatically
� HDFS Programming Advanced � Hadoop I/O
� File Compression, Decompression
� Writable Class Hierarchy
� Data Type Serialization, Deserialization
� Sequence Files
� Running inbuilt Map Reduce Examples
� Run MapReduce example to get a high level understanding
� Checking the output of M/R Job � console, WebUI
� Understanding the dump of M/R Job
� When Hadoop is not suitable
� Reference


Module � 4: MapReduce Framework

� What is MapReduce and Why it is popular
� MapReduce Framework� Introduction, Driver, Mapper, Reducer, Combiner, Split, Shuffle & Sort
� Example: WordCount the Hello World of MapReduce
� Use cases of MapReduce
� Realtime uses of MapReduce
� MapReduce Logical Data Flow � with multiple/single reduce task
� MapReduce Framework revisited
� Steps to write a MapReduce Program
� Running on LocalJobRunner v/s Cluster
� Packaging MapReduce Jobs in a JAR
� MapReduce CLASSPATH
� Different ways of running MapReduce job
� Run on Eclipse � local v/s HDFS
� Hadoop JAR command � normal jar with/without main, runnable jar
� Run M/R job using YARN
� Writing and Viewing Log Files and Web UI
� Input Splits in MapReduce
� Relation between Input Splits and HDFS Blocks
� Hands on with Map Reduce Programming
� Reference


Module � 5: MapReduce Advanced

� Map Reduce Architecture
� Responsibility of JobTracker, TaskTracker in classic MapReduce v1
� Anatomy of MapReduce Jobs Execution in classic MRv1(JT, TT)
� Hadoop 2.0, YARN, MRv2
� Hadoop 1.0 Limitations
� MapReduce Limitations
� YARN Architecture
� Classic vs YARN
� YARN multitenancy
� YARN Capacity Schedule
� MapReduce and YARN command line tools
� Anatomy of MapReduce Jobs Execution MRv2 - YARN(RM, AM, NM)
� How status updates in MRv1 and YARN
� Task Failures and Recoveries in MRv1 and YARN based MR
� Job Scheduling (FIFO, Fair Scheduler, Capacity Scheduler)
� Speculative Execution
� Uber Task
� Data Locality
� Distributed Cache
� Task JVM Reuse
� Delving Deeper into the Hadoop Java API
� Using Tool, ToolRunner and GenericOptionsParser Class
� Decreasing the Amount of Intermediate Data with Combiners
� Reducer � Shuffle, Sort and Partitioner
� How Partitioners and Reducers Work Together
� Determining the optimal number of Reducers for a Job
� Setting Mapper Counts and Reducer Counts
� Writing Customer Partitioners
� Strategies for Debugging MapReduce Code
� Counters - Retrieving Job Information
� Running MapReduce Job locally
� Logging in Hadooop
� MapReduce unit tests with JUnit and MRUnitframkework
� MapReduce I/O Format
� Understanding Data Types of Keys and Values
� Understanding Input/Output Format, Sequence Input/Output format
� Creating Custom Writable and WritableComparable Implementations
� Implementing Custom InputFormats and OutputFormats
� Saving Binary Data Using SequenceFile and Avro Data Files
� Compression - Issues to Consider When Using File Compression
� Map-Side Join, Reduce-Side Join, Distributed Join, Replicated Join, Composite Join, Cartesian Product
� Secondary Sort
� Creating Map-Only MapReduce Jobs Example: DistCp command
� Reference


Module - 6: Data Warehousing � Pig

Pig Data Flow Language � MapReduce using Scripting
� Challenges Of MapReduce Development Using Java
� Need for High Level Languages - Pig
� PIG vs MapReduce
� What is/n�t PIG, PigLatin, Grunt Shell
� Where to/not to use Pig?
� Pig Installation and Configuration
� Architecture: The Big Picture, Pig Components
� Execution Environments - Local, Mapreduce
� Different ways of Invoking Pig � Interactive, Batch
� Pig Example: Data Analysis in Pig Latin
� Data Flow in Hadoop
� Quickstart and Interoperability
� Data Model and Nested Data Model
� Expression in Pig Latin
� Pig Data Types,
� Nulls in Pig Latin
� Pig Macros
� Pig Operation
� Core Relational Operators � Load, Store, Filter, Transform, Join, Group, CoGroup, Union, Foreach, Sort/Order, Combine/Split, Distinct, Filter, Limit, Describe, Explain, Illustrate
� Group v/s CoGroup v/s Join
� PIG Latin: File Loaders & in built UDF(Python, Java) usage
� PIG v/s SQL
� Implementation & Usage of Pig UDF
� Hands on with Pig � 3 different datasets
� Reference




Module � 7 : Data Warehousing � Hive and HiveQL

� Limitations of MapReduce
� Need for High Level Languages
� Analytical OLAP - Datawarehousing with Apache Hive and Apache Pig
HiveQL-SQL like interface for MapReduce
� What is Hive, Background, Hive QL
� Where to use Hive? Why use Hive when Pig is here?
� Pig v/s Hive
� Hive Installation, Configuration Files
� Hive Components, Architecture and Metastore
� Metastore � configuration
� Driver, Query Compiler, Optimizer and Execution Engine
� Hive Server and Client components
� Hive Data Types
� Hive Data Mode
� File Formats
� Hive Example
� Hive DDL
� CREATE,ALTER,DROP,TRUNCATE
� Create/Show Database
� Create/Show/Drop Tables
� Hive DML
� SELECT, INSERT, OVERWRITE, EXPLAIN
� Load Files & Insert Data into Tables
� Managed Tables v/s External Tables � Loading Data
� Hive QL - Select, Filter, Join, Group By, Having, Cubes-Fact/Dimension(Star Schema)
� Implementation & Usage of Hive UDF, UDAF, UDTF and SerDe
� Partitioned Table - loading data
� Clustered Table � loading data in Clustered Table Views
� Bucketing
� Multi-Table Inserts
� Using HCatalog
� Joins
� Hands on with Hive � CRUD - Get,Put,Delete,Scan
� Limitations of Hive
� SQLv/s Hive
� Reference


Module � 8: NoSQL Databases � HBase

� NoSQL Introduction
� RDBMS (SQL) v/s HBase (NoSQL)
� Transactional (OLTP)
� RDBMS � Benefits, ACID, Demarits
� CAP Theorem and Eventual consistency
� Row Oriented v/s Column Oriented Storage
� NoSQL: ColumnDB(HBase,Cassandra),Document(MongoDB,CouchDB,MarkLogic),GraphDB(Neo4J), KeyValue(Memcached, Riak, Redis, DynamoDB)
� What is HBase?
� Synopsis of how typical RDBMS scaling story runs
� HBase comes as a rescue
HBase �Hadoop Database
� HBase Introduction, Installation, Configuration
� HBase Overview: part of Hadoop Ecosystem
� Problems with Batch Processing like MR
� HBase v/s HDFS
� Batch vs. Real Time Data Processing
� Use-cases for Real Time Data Read/Write
� Seek v/s Transfer
� HBase Storage Architecture
� Write Path, Read Path
� HBase components - HMaster, HRegionServer
� ZooKeeper
� Replication
� HBase Data Model
� HBase Schema Design: Tall-Narrow Tables and Flat-Wide Tables
� Column Families
� Column Value & Key Pair
� HBase Operation - Memstore / HFile / WAL
� HBase Client - HBase Shell
� Admin Operation
� CRUD Operations
� Create via Put method
� Read via Get method
� Update via Put method
� Delete via Delete method
� Creating table, table properties, versioning, compression
� Bulk Loading HBase
� Hive, Pig - HBase Integration
� Accessing HBase using Java Client v/s Admin API
� Introduction to Java API
� Read / Write path
� CRUD Operations � Create, Read, Update, Delete
� Drop
� Scans
� Scan Caching
� Batch Caching
� MapReduce Integration
� Filters
� Counters
� Co-processors
� Secondary Index
� Compaction � major, minor
� Splits
� Bloom Filters
� Caches
� Performance Tuning
� Apache Phoenix
� When Would I Use Apache HBase?
� Companies Using HBase
Cassandra
� Hands on HBase, Cassandra
� When/Why to use HBase/Cassandra/MongoDB/Neo4J?
� Who is using What?
� Reference


Module � 9: Import/Export Data � Sqoop, Flume

� Setup MySQL RDBMS
Sqoop - Import/Export Structured Data to/from HDFS from/to RDBMS
� Introduction to Sqoop
� Installing Sqoop, Configuration
� Why Sqoop
� Benefits of Sqoop
� Sqoop Processing
� How Sqoop works
� Sqoop Architecture
� Importing Data � to HDFS, Hive, HBase
� Exporting Data � to MySQL
� Sqoop Connectors
� Sqoop Commands
Flume � Import Semi-Structured (Ex. Log message) Data to HDFS
� Why Flume
� Flume - Introduction
� Flume Model
� Scalability In Flume
� How Flume works
� Flume Complex Flow - Multiplexing
� Hands on with Sqoop, Flume
� Reference


Module � 10: Workflows using Oozie

MapReduce Workflows
� Workflows Introduction
� Decomposing Problems into MapReduce Workflow
� Using JobControl class
Oozie - Simple/Complex MapReduce Workflow
� Introduction to Oozie
� Oozie Installation
� Creating Oozie Workflows
� Oozie Service/Scheduler
� Deploy and Run Oozie Workflow
� Oozie use-cases
� Hands on with Oozie
� Reference


Module � 11: Administering Hadoop

� Hadoop Deployment Modes
� Pseudo-Distributed Mode - Virtual Machine for Hadoop Training
� VMware Player - Introduction
� Install VMware Player
� Create a VM in VMware Player
� Open a VM in VMware Player
� Oracle VirtualBox to Open a VM
� Open a VM using Oracle
� Hadoop Cluster Configuration overview
� Configuration parameters and values
� HDFS parameters
� MapReduce parameters
� Hadoop environment setup
� �Include� and �Exclude� configuration files
� Site v/s Default conf files
� Environment Variables
� Scripts
� Hadoop Multi-node Installation using VM on single machine
� Hadoop Multi-Node Fully Distributed Mode Installation
� Passwordless SSH setup
� Configuration Files of Hadoop Cluster
� hadoop default.xml
� Safe Mode
� DfsAdmin
� Load Balancer
� Hadoop Ports
� Hadoop Quotas
� Security - Kerberos
� ZooKeeper
� What is Zookeeper
� Introduction to ZooKeeper
� Who is using it
� Features of ZooKeeper
� Challenges Faced in Distributed Applications
� ZooKeeper Coordination, Architecture,
� Uses of ZooKeeper
� Entities, Data Model, Services
� ZNokde Types
� Sequential ZNodes
� Client API Functions
� Zookeeper Installation, Configuration and Running Zookeeper
� Zookeeper use cases � HBase, Hadoop, Kafka
� Hue, Cloudera Manager, Ambari, Mesos
� Performance Monitoring and Tuning
� Hadoop Cluster Performance Management
� Important Hadoop tuning parameters
� Hadoop Cluster Benchmarking Jobs � How to run the jobs
� TestDFSIO, NNBench, MRBench
� Counters
� HDFS Benchmarking
� Debugging, Troubleshooting
� Reference


Module � 12: Apache Spark

� Spark Concepts, Installation and Architecture
� Spark ecosystem (core, spark sql, mlib, streaming)
� Spark Modes
� Spark web UI
� Spark shell
� RDD�s In Depth
� Partitions
� RDD Operations / transformations
� RDD types
� Key-Value pair RDDs
� MapReduce on RDD
� Caching and persistence
� Submitting the first program to Spark
� Broadcast variables
� Accumulators
� Memory management - Executers
� Spark SQL
� Spark Streaming � with NetCat, Kafka
� Reference

Hadoop Projects(3)

 

Best Bigdata training institutes in jaya-nagar, bangalore - Training Requirements

List of training requirements recieved for Best Bigdata training centers in jaya-nagar, bangalore.


Vadhana k (jaya-nagar Bangalore on 21-Feb-2018 )
Big Data Analytics training with placement wanted. - bigdata training in bangalore (jaya-nagar)
 
shivanand (jaya-nagar Bangalore on 02-Sep-2017 )
i want to learn bigdata hadoop unix. i am looking for job change - bigdata training in bangalore (jaya-nagar)
 
Sagar Patil (jaya-nagar Bangalore on 25-Jun-2017 )
Need a best training institute. CEH - Certified Ethical Hacker (ceh--certified-ethical-hacker) - bigdata training in bangalore (jaya-nagar)
 
Malatesh (jaya-nagar Bangalore on 10-May-2017 )
Big Data Analytics course fee and duration details - bigdata training in bangalore (jaya-nagar)
 
Banu priya (jaya-nagar Bangalore on 11-Jan-2017 )
Good Classroom training with job placements - bigdata training in bangalore (jaya-nagar)
 
Naveena N (jaya-nagar Bangalore on 02-Jan-2017 )
I completed beE mechanical engg in 2015..let me know course details - bigdata training in bangalore (jaya-nagar)
 
Piyush (jaya-nagar Bangalore on 06-Nov-2016 )
Basic Computer training (basic-computer-training) - bigdata training in bangalore (jaya-nagar)
 


 

Bigdata course Content / syllabus at jaya-nagar, bangalore.

We gathered most widely used Bigdata course content used by training institutes in jaya-nagar,bangalore. The Bigdata course syllabus covers basic to advanced level and it may vary based on Bigdata training classes offered in jaya-nagar.

 

1.Big Data Analytics introduction
1.Big Data overview
2.What is a data scientist
3.What are the roles of a data scientist
4.Big Data Analytics in industry

2.Data analytics lifecycle
1.Data Discovery
2.Data Preparation
3.Data Model Planning
4.Data Model Building
5.Data Insights

3.Data Analytic Methods Using R
1.Introduction to R
2.Analyzing and Exploring the Data
3.Model Building and Evaluation
4.Machine learning-Theory and Methods
5. Introduction to analytics for unstructured data-MapReduce and Hadoop




 

 

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