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BigData and Data Science

Python, Hadoop, Spark, Pig, HIve, Sqoop and Big Query

Learn Big Data

  • For Better Job Opportunities in future
  • For providing companies with new Data Insights
  • For predicting future based on data.
  • For being the early adopters of new technology

 Big Data is used by

 Big Data is for

 Bigdata course is for College Students

College Students


Bigdata course is for New Professionals

New Professionals


Bigdata course is for Expert Professionals

Expert Professionals

BigData Course

Course Outline

  • Apache Hadoop – Configuration
  • Apache Hadoop Core Components – HDFS, MapReduce
  • HDFS Architecture
  • Single-Node Cluster vs. Multi-Node Cluster
  • MapReduce – Characteristics, Features, Processes, Real-Time Uses
  • Data Types in Hadoop
  • Distributed Cache
  • Joins in MapReduce
  • YARN
  • Apache Pig – Components
  • Pig vs. SQL
  • Apache Hive – Introduction, Characteristics, System Architecture
  • Hive –Components, Data types
  • Hive Query Language
  • Apache Tez
  • Apache Hadoop Ecosystem Components
  • UDF/UDAF vs. MapReduce Scripts
  • Apache HBase – Introduction, Characteristics, Concepts, Architecture
  • HBase vs. RDBMS
  • Apache ZooKeeper
  • Apache Sqoop
  • Apache Oozie
  • Apache Mahout
  • Apache Cassandra
  • Apache NiFi
  • Apache Spark
  • Apache Ambari
  • Apache Zeppelin
  • Apache Phoenix
  • Apache Accumulo
  • Apache Storm
  • Hadoop Security – Kerberos
  • Apache Ranger
  • Google Big Query


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