Real Time Big Data Projects Training In Hyderabad

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Mr. Kalyan, Big Data Solution Architect,

Apache Contributor, 11+ years of IT exp, 7+ years of Big Data exp,

Cloudera CCA175 Certified Consultant, IIT Kharagpur, Gold Medalist

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Real Time Big Data Projects Training In Hyderabad @ ORIENIT @ KALYAN

Real Time Big Data Projects Training Course Content Link

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Please submit your interest regarding Real Time Big Data Projects using Cloudera @ ORIEN IT 

Real Time Big Data Projects Training Course Demo Link

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Real Time Projects on Big Data Using Cloudera
(Complete Hands on Practicals)
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Hadoop
  • HDFS
    • process start & stop commands
    • data transfer commands
    • how to define custom properties
  • MapReduce
    • Processing DATABASE data
    • Processing XML data
    • Processing PDF data
    • Processing JSON data
    • Processing IMAGE data
  • YARN
    • Importance of YARN
    • How to do resource scheduling
    • How to observe real time jobs
  • Real Time Production Cluster
    • How to define the Real Time Production Cluster Size
    • How to secure the Real Time Production Cluster
    • How to Balance the Real Time Production Cluster
    • How to Transfer the data between Real Time Production Clusters
  • Performace Improvements
    • How to improve the performance using Java Code
    • How to improve the performance using proerties
  • Real Time Usecases on Hadoop
  • Interview Questions and Answers

Hive
  • Data Model of Hive
    • Tables
    • Partitions
    • Buckets
  • Practical Examples on
    • UDF's
    • SerDe
    • Different Storage options (AVRO, RC, ORC, PARQUET, TEXT, SEQUENCE)
    • Different Data Types (XML, PDF, JSON)
  • Hive Integrations
    • Hive Impala Integrations
    • Hive Hbase Integrations
    • Hive Hcatlog Integrations
    • Hive Phoenix Integrations
    • Hive MongoDB Integrations
    • Hive Spark Integrations
  • Real Time Usecases on Hive
  • Interview Questions and Answers


Pig

  • Practical Examples on
    • UDF's
    • Different Storage options (AVRO, ORC, PARQUET, TEXT)
    • Different Data Types (XML, PDF, JSON)
  • Pig Integrations
    • Pig Hbase Integrations
    • Pig Hcatlog Integrations
    • Pig Phoenix Integrations
    • Pig MongoDB Integrations
    • Pig Spark Integrations
  • Real Time Usecases on Pig
  • Interview Questions and Answers


HCatalog

  • HCatalog Integrations
    • HCatalog Hive Integrations
    • HCatalog Pig Integrations
  • Real Time Usecases on HCatalog
  • Interview Questions and Answers


Impala

  • Impala vs Hive
  • Real Time Usecases on Impala
  • Interview Questions and Answers


HBase

  • Practical Examples on
    • CRUD operations
      • Command Based Solutions
      • Java Based Solutions
    • Hbase with MapReduce Programs
    • Hbase with Spark Programs
  • Hbase Integrations
    • Hbase Hive Integrations
    • Hbase Pig Integrations
    • Hbase Phoenix Integrations
    • Hbase Spark Integrations
  • Real Time Usecases on Hbase
  • Interview Questions and Answers

Cassandra

  • Practical Examples on
    • CRUD operations
      • Command Based Solutions
      • Java Based Solutions
    • Cassandra with MapReduce Programs
    • Cassandra with Spark Programs
  • Cassandra Integrations
    • Cassandra Spark Integrations
  • Real Time Usecases on Cassandra
  • Interview Questions and Answers


Phoenix

  • Practical Examples on
    • CRUD operations
      • Command Based Solutions
      • Java Based Solutions
    • Phoenix with MapReduce Programs
    • Phoenix with Spark Programs
  • Phoenix Integrations
    • Phoenix Hbase Integrations
    • Phoenix Hive Integrations
    • Phoenix Pig Integrations
    • Phoenix Spark Integrations
    • Phoenix Flume Integrations
    • Phoenix Kafka Integrations
  • Real Time Usecases on Phoenix
  • Interview Questions and Answers


Sqoop

  • Practical Examples on
    • Sqoop Import Operations
    • Sqoop Export Operations
  • Sqoop Integrations
    • Sqoop HDFS Integrations
    • Sqoop Hive Integrations
    • Sqoop Hbase Integrations
  • Real Time Usecases on Sqoop
  • Interview Questions and Answers


Flume

  • Practical Examples on
    • Sources
    • Channels
    • Sinks
  • Flume Integrations
    • Flume Hadoop Integrations
    • Flume Hive Integrations
    • Flume Pig Integrations
    • Flume Hbase Integrations
    • Flume Phoenix Integrations
    • Flume Kafka Integrations
    • Flume Spark Integrations
  • Real Time Usecases on Flume
  • Interview Questions and Answers


Kafka

  • Practical Examples on
    • Producers
    • Consumers
    • Brokers
  • Kafka Integrations
    • Kafka Flume Integrations
    • Kafka Spark Integrations
  • Real Time Usecases on Kafka
  • Interview Questions and Answers

Oozie

  • Practical Examples on
    • Workflows
    • Schedulers
  • Oozie Integrations
    • Oozie Hdfs Integrations
    • Oozie MapReduce Integrations
    • Oozie Hive Integrations
    • Oozie Pig Integrations
    • Oozie Hbase Integrations
    • Oozie Sqoop Integrations
    • Oozie Flume Integrations
    • Oozie Spark Integrations
  • Real Time Usecases on Oozie
  • Interview Questions and Answers


Zeppelin

  • Practical Examples on
    • notebooks
  • Zeppelin Integrations
    • Zeppelin Hive Integrations
    • Zeppelin Phoenix Integrations
    • Zeppelin RDBMS Integrations
    • Zeppelin Cassandra Integrations
    • Zeppelin Spark Integrations
  • Real Time Usecases on Zeppelin
  • Interview Questions and Answers

Spark

  • Practical Examples on
    • Spark Core
    • Spark SQL
  • Spark Integrations
    • Spark Hive Integrations
  • Real Time Usecases on Spark
  • Interview Questions and Answers

Day to Day Activity Tools

  • Building Tools
    • Maven
    • Sbt
  • Source Repository Tools
    • SVN
    • GitHub
  • File Transfer Tools
    • File Zilla
    • WinScp
    • SSH
  • Virtualization Softwares
    • VMWare
    • VirtualBox
  • Linux Commands

End to End Projects


  • Complete flow of the Big Data Projects using
    • Hadoop
    • Hive, Pig
    • Hbase, Phoenix, Cassandra
    • Flume, Kafka
    • Sqoop
    • Oozie
    • Spark
  • Complete flow of the Big Data Usecases using
    • Hadoop
    • Hive, Pig
    • Hbase, Phoenix, Cassandra
    • Flume, Kafka
    • Sqoop
    • Oozie
    • Spark
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