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