Hadoop Training in Hyderabad, Hadoop Training Institute in Hyderabad

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Best Hadoop Institute: orienit is the best Hadoop training Institutes in Hyderabad.Providing hadoop training by realtime faculty in Hyderabad .

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204 2nd Floor Annapurna Block Aditya Enclave Ameerpet Hyderabad. Ph: 040 6514 2345 0970 320 2345. E-mail: infoorienit.com www.orienit.com HADOOP Course Content By Mr. Kalyan 7+ Years of Realtime Exp. M.Tech IIT Kharagpur Gold Medalist. Introduction to Big Data and Hadoop HDFS Hadoop Distributed File System Big Data What is Big Data Why all industries are talking about Big Data What are the issues in Big Data Storage What are the challenges for storing big data Processing What are the challenges for processing big data What are the technologies support big data Hadoop Data Bases Traditional NO SQL Hadoop What is Hadoop History of Hadoop Why Hadoop Hadoop Use cases Advantages and Disadvantages of Hadoop Big Data Real time Use Cases HDFS Architecture Name Node Name Node Name Node What are the drawbacks in Name Node Secondary Name Node Secondary Name Node Secondary Name Node What are the drawbacks in Secondary Name Node Data Node Data Node Data Node What are the drawbacks in Data Node › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › Importance of Different Ecosystems of Hadoop Importance of Integration with other BigData solutions Importance of What are the roles of Importance of What are the roles of Importance of What are the roles of Data Storage in HDFS How blocks are storing in DataNodes How replication works in Data Nodes How to write the files in HDFS How to read the files in HDFS HDFS Block size Importance of HDFS Block size Why Block size is so large How it is related to MapReduce split size

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204 2nd Floor Annapurna Block Aditya Enclave Ameerpet Hyderabad. Ph: 040 6514 2345 0970 320 2345. E-mail: infoorienit.com www.orienit.com HADOOP Course Content By Mr. Kalyan 7+ Years of Realtime Exp. M.Tech IIT Kharagpur Gold Medalist. HDFS Replication factor Importance of HDFS Replication factor in production environment Can we change the replication for a particular file or folder Can we change the replication for all files or folders Accessing HDFS CLICommand Line Interface using hdfs commands Java Based Approach HDFS Commands Importance of each command How to execute the command Hdfs admin related commands explanation Configurations Can we change the existing configurations of hdfs or not Importance of configurations How to overcome the Drawbacks in HDFS Name Node failures Secondary Name Node failures Data Node failures Where does it fit and Where doesnt fit Exploring the Apache HDFS Web UI How to configure the Hadoop Cluster How to add the new nodes Commissioning How to remove the existing nodes De-Commissioning How to verify the Dead Nodes How to start the Dead Nodes Hadoop 2.x.x version features Introduction to Namenode fedoration Introduction to Namenode High Availabilty Difference between Hadoop 1.x.x and Hadoop 2.x.x versions Map Reduce architecture JobTracker Importance of JobTracker What are the roles of JobTracker What are the drawbacks in JobTracker TaskTracker Importance of TaskTracker What are the roles of TaskTracker What are the drawbacks in TaskTracker Map Reduce Job execution flow Data Types in Hadoop What are the Data types in Map Reduce Why these are importance in Map Reduce Can we write custom Data Types in MapReduce Input Formats in Map Reduce Text Input Format Key Value Text Input Format › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › MAPREDUCE

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204 2nd Floor Annapurna Block Aditya Enclave Ameerpet Hyderabad. Ph: 040 6514 2345 0970 320 2345. E-mail: infoorienit.com www.orienit.com HADOOP Course Content By Mr. Kalyan 7+ Years of Realtime Exp. M.Tech IIT Kharagpur Gold Medalist. Sequence File Input Format Nline Input Format Importance of Input Format in Map Reduce How to use Input Format in Map Reduce How to write custom Input Formats and its Record Readers Output Formats in Map Reduce Text Output Format Sequence File Output Format Importance of Output Format in Map Reduce How to use Output Format in Map Reduce How to write custom Output Formats and its Record Writers Mapper What is mapper in Map Reduce Job Why we need mapper What are the Advantages and Disadvantages of mapper Writing mapper programs Reducer What is reducer in Map Reduce Job Why we need reducer What are the Advantages and Disadvantages of reducer Writing reducer programs Combiner What is combiner in Map Reduce Job Why we need combiner What are the Advantages and Disadvantages of Combiner Writing Combiner programs Partitioner What is Partitioner in Map Reduce Job Why we need Partitioner What are the Advantages and Disadvantages of Partitioner Writing Partitioner programs Distributed Cache What is Distributed Cache in Map Reduce Job Importance of Distributed Cache in Map Reduce job What are the Advantages and Disadvantages of Distributed Cache Writing Distributed Cache programs Counters What is Counter in Map Reduce Job Why we need Counters in production environment How to Write Counters in Map Reduce programs Importance of Writable and Writable Comparable Apis How to write custom Map Reduce Keys using Writable How to write custom Map Reduce Values using Writable Comparable › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › Reduce Side Join › What is the importance of Reduce Side Join › Where we are using it Joins Map Side Join What is the importance of Map Side Join Where we are using it

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204 2nd Floor Annapurna Block Aditya Enclave Ameerpet Hyderabad. Ph: 040 6514 2345 0970 320 2345. E-mail: infoorienit.com www.orienit.com HADOOP Course Content By Mr. Kalyan 7+ Years of Realtime Exp. M.Tech IIT Kharagpur Gold Medalist. What is the difference between Map Side join and Reduce Side Join Configuring hadoop development environment using Eclipse › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › Compression techniques Importance of Compression techniques in production environment Compression Types NONE RECORD and BLOCK Compression Codecs Default Gzip Bzip Snappy and LZO Enabling and Disabling these techniques for all the Jobs Enabling and Disabling these techniques for a particular Job Map Reduce Schedulers FIFO Scheduler Capacity Scheduler Fair Scheduler Importance of Schedulers in production environment How to use Schedulers in production environment Map Reduce Programming Model How to write the Map Reduce jobs in Java Running the Map Reduce jobs in local mode Running the Map Reduce jobs in pseudo mode Running the Map Reduce jobs in cluster mode Debugging Map Reduce Jobs How to debug Map Reduce Jobs in Local Mode. How to debug Map Reduce Jobs in Remote Mode. YARN Next Generation Map Reduce What is YARN What is the importance of YARN Where we can use the concept of YARN in Real Time What is difference between YARN and Map Reduce Data Locality What is Data Locality Will Hadoop follows Data Locality Speculative Execution What is Speculative Execution Will Hadoop follows Speculative Execution Map Reduce Commands Importance of each command How to execute the command Mapreduce admin related commands explanation Configurations Can we change the existing configurations of mapreduce or not Importance of configurations Writing Unit Tests for Map Reduce Jobs Use of Secondary Sorting and how to solve using MapReduce How to Identify Performance Bottlenecks in MR jobs and tuning MR jobs. Map Reduce Streaming and Pipes with examples Exploring the Apache MapReduce Web UI

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204 2nd Floor Annapurna Block Aditya Enclave Ameerpet Hyderabad. Ph: 040 6514 2345 0970 320 2345. E-mail: infoorienit.com www.orienit.com HADOOP Course Content By Mr. Kalyan 7+ Years of Realtime Exp. M.Tech IIT Kharagpur Gold Medalist. Apache PIG Apache HIVE Introduction to Apache Pig Map Reduce Vs Apache Pig SQL Vs Apache Pig Different data types in Pig Modes Of Execution in Pig Local Mode Map Reduce Mode Execution Mechanism Grunt Shell Script Embedded UDFs How to write the UDFs in Pig How to use the UDFs in Pig Importance of UDFs in Pig Filters How to write the Filters in Pig How to use the Filters in Pig Importance of Filters in Pig Load Functions How to write the Load Functions in Pig How to use the Load Functions in Pig Importance of Load Functions in Pig Store Functions How to use the Store Functions in Pig Importance of Store Functions in Pig Transformations in Pig How to write the complex pig scripts How to integrate the Pig and Hbase Hive Introduction Hive architecture Driver Compiler Semantic Analyzer Hive Integration with Hadoop Hive Query LanguageHive QL SQL VS Hive QL Hive Installation and Configuration Hive Map-Reduce and Local-Mode Hive DLL and DML Operations Hive Services CLI Hiveserver Hwi › › › › › › › › › › › › › › › › › › › › › › Metastore embedded metastore configuration external metastore configuration UDFs How to write the UDFs in Hive How to use the UDFs in Hive Importance of UDFs in Hive UDAFs How to use the UDAFs in Hive Importance of UDAFs in Hive UDTFs How to use the UDTFs in Hive Importance of UDTFs in Hive How to write a complex Hive queries What is Hive Data Model Partitions Importance of Hive Partitions in production environment Limitations of Hive Partitions How to write Partitions Buckets Importance of Hive Buckets in production environment How to write Buckets SerDe Importance of Hive SerDes in production environment How to write SerDe programs How to integrate the Hive and Hbase Introduction to zookeeper Pseudo mode installations Zookeeper cluster installations Basic commands execution Hbase introduction Hbase usecases Hbase basics Column families Scans Hbase installation Local mode Psuedo mode Cluster mode Hbase Architecture Storage WriteAhead Log Log Structured MergeTrees › › › › › › › › › › › › › › › › › › › › › › › › Apache Zookeeper Apache Hbase

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204 2nd Floor Annapurna Block Aditya Enclave Ameerpet Hyderabad. Ph: 040 6514 2345 0970 320 2345. E-mail: infoorienit.com www.orienit.com HADOOP Course Content By Mr. Kalyan 7+ Years of Realtime Exp. M.Tech IIT Kharagpur Gold Medalist. Mapreduce integration Mapreduce over Hbase Hbase Usage Key design Bloom Filters Versioning Coprocessors Filters Hbase Clients REST Thrift Hive Web Based UI Hbase Admin Schema definition Basic CRUD operations Introduction to Sqoop MySQL client and Server Installation Sqoop Installation How to connect to Relational Database using Sqoop Sqoop Commands and Examples on Import and Export commands Introduction to flume Flume installation Flume agent usage and Flume examples execution Introduction to oozie Oozie installation Executing oozie workflow jobs Monitering Oozie workflow jobs Introduction to mahout Mahout installation Mahout examples Introduction to Cassandra Cassandra examples Introduction to Storm Storm examples › › › › › › › › › › › › Apache SQOOP Apache FLUME Apache OOZIE Apache Mahout Apache Cassandra Storm MongoDB Apache Nutch Cloudera Distribution Hortonworks Distribution Amazon EMR Advanced and New technologies architectural discussions Pre-Requisites for this Course Introduction to MongoDB MongoDB installation MongoDB examples Introduction to Nutch Nutch Installation Nutch Examples Introduction to Cloudera Cloudera Installation Cloudera Certification details How to use cloudera hadoop What are the main differences between Cloudera and Apache hadoop Introduction to Hortonworks Hortonworks Installation Hortonworks Certification details How to use Hortonworks hadoop What are the main differences between Hortonworks and Apache hadoop Introduction to Amazon EMR and Amazon Ec2 How to use Amazon EMR and Amazon Ec2 Why to use Amazon EMR and Importance of this Mahout Machine Learning Algorithms Storm Real time data streaming Cassandra NOSQL database MongoDB NOSQL database Solr Search engine Nutch Web Crawler Lucene Indexing data Ganglia Nagios Monitoring tools Cloudera Hortonworks MapR Amazon EMR Distributions How to crack the Cloudera certification questions Java Basics like OOPS Concepts Interfaces Classes and Abstract Classes etc Free Java classes as part of course SQL Basic Knowledge Free SQL classes as part of course Linux Basic Commands Provided in our blog › › ›

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204 2nd Floor Annapurna Block Aditya Enclave Ameerpet Hyderabad. Ph: 040 6514 2345 0970 320 2345. E-mail: infoorienit.com www.orienit.com HADOOP Course Content By Mr. Kalyan 7+ Years of Realtime Exp. M.Tech IIT Kharagpur Gold Medalist. Administration topics: Hadoop Installations Local mode hands on installation on ur laptop Psuedo mode hands on installation on ur laptop Cluster mode hands on 20 node cluster setup in our lab Nodes Commissioning and De-commissioning in Hadoop Cluster Jobs Monitoring in Hadoop Cluster Fair Scheduler hands on installation on ur laptop Capacity Scheduler hands on installation on ur laptop Hive Installations Local mode hands on installation on ur laptop With internal Derby Cluster mode hands on installation on ur laptop With external Derby With external MySql Hive Web Interface HWI mode hands on installation on ur laptop Hive Thrift Server mode hands on installation on ur laptop Derby Installation hands on installation on ur laptop MySql Installation hands on installation on ur laptop Pig Installations Local mode hands on installation on ur laptop Mapreduce mode hands on installation on ur laptop Hbase Installations Local mode hands on installation on ur laptop Psuedo mode hands on installation on ur laptop Cluster mode hands on installation on ur laptop With internal Zookeeper With external Zookeeper Zookeeper Installations Local mode hands on installation on ur laptop Cluster mode hands on installation on ur laptop Sqoop Installations Sqoop installation with MySql hands on installation on ur laptop Sqoop with hadoop integration hands on installation on ur laptop Sqoop with hive integration hands on installation on ur laptop Flume Installation Psuedo mode hands on installation on ur laptop Oozie Installation Psuedo mode hands on installation on ur laptop Mahout Installation Local mode hands on installation on ur laptop Psuedo mode hands on installation on ur laptop MongoDB Installation Psuedo mode hands on installation on ur laptop Nutch Installation Psuedo mode hands on installation on ur laptop › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › ›

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204 2nd Floor Annapurna Block Aditya Enclave Ameerpet Hyderabad. Ph: 040 6514 2345 0970 320 2345. E-mail: infoorienit.com www.orienit.com HADOOP Course Content By Mr. Kalyan 7+ Years of Realtime Exp. M.Tech IIT Kharagpur Gold Medalist. Cloudera Hadoop Distribution installation Hadoop Hive Pig Hbase Hue HortonWorks Hadoop Distribution installation Hadoop Hive Pig Hbase Hue Hadoop and Hive Integration Hadoop and Pig Integration Hadoop and HBase Integration Hadoop and Sqoop Integration Hadoop and Oozie Integration Hadoop and Flume Integration Hive and Pig Integration Hive and HBase integration Pig and HBase integration Sqoop and RDBMS Integration Mahout and Hadoop Integration Hands on MapReduce programming around 20+ programs these will make you to pefect in MapReduce both concept- wise and programatically Hands on 5 POCs will be provided These POCs will help you perfect in Hadoop and its ecosystems Hands on 20 Node cluster setup in our Lab. Hands on installation for all the Hadoop and ecosystems in your laptop. Well documented Hadoop material with all the topics covering in the course Well documented Hadoop blog contains frequent interview questions along with the answers and latest updates on BigData technology. Real time projects explanation will be provided. Mock Interviews will be conducted on one-to-one basis. Discussing about hadoop interview questions daily base. Resume preparation with POCs or Projects based on your experiance. › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › › Hadoop ecosystem Integrations: What we are offering to you

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