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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

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Bigdata course is for New Professionals

New Professionals

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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

Hours

Batch Size

Projects