Phone: +91 8884877658

Training

28

Hours

Big Data Analytics With Hadoop

For Developers And Architects

You can learn Big Data, Hadoop HDFS, Hadoop MapReduce, Hive, Docker Containers, Google Cloud or AWS

  • Introduction to Big Data
  • Big Data Storage - Hadoop HDFS
  • Moving Big Data into Hadoop HDFS - Sqoop, Flume
  • Big Data Processing - Hadoop MapReduce
  • Big Data SQL Analytics - Hive
  • Running Hadoop Cluster - YARN
  • Running Hadoop Cluster on a Public Cloud
32

Hours

Big Data Analytics With Spark

For Developers And Architects

You can learn Big Data, Hadoop HDFS, Spark Core, Spark SQL, Docker Containers, Google Cloud or AWS

  • Introduction to Big Data
  • Big Data Storage - Hadoop HDFS
  • Moving Big Data into Hadoop HDFS - Sqoop, Flume
  • Big Data Processing - Spark
  • Big Data SQL Analytics - Spark SQL & DataFrames
  • Running Spark Cluster - Standalone & YARN
  • Running Spark Cluster on a Public Cloud
30

Hours

Streaming Processing With Spark

For Developers And Architects

You can learn Streaming Data Architectures, Kafka, Spark Core, Spark Streaming, Docker Containers, Google Cloud or AWS

  • Introduction to Stream Processing - Big Data, IOT
  • Streaming Data Architectures - Near Real Time Processing
  • Streaming Data Pipeline Setup - Flume, Kafka, Spark Streaming
  • Streaming Data Processing - Spark Core, Spark Streaming
  • Running Spark and Kafka Cluster
  • Running Kafka and Spark Cluster on a Public Cloud
30

Hours

Stream Processing With Storm

For Developers And Architects

You can learn Streaming Data Architectures, Kafka, Storm, Docker Containers, Google Cloud or AWS

  • Introduction to Stream Processing - Big Data, IOT
  • Streaming Data Architectures - Real Time Event Processing
  • Streaming Data Pipeline Setup - Flume, Kafka, Storm
  • Streaming Data Processing - Storm
  • Running Spark and Kafka Cluster
  • Running Kafka and Spark Cluster on a Public Cloud
16

Hours

Distributed Computing

For Architects

You can learn Distributed System Architectures in Web, Databases, File Systems and Messaging.

  • Distributed Computing Core Concepts
  • Distributed Coordination Service - ZooKeeper
  • Distributed Web Services - REST Services, Load Balancing, HA
  • Distributed Databases - MPP, NoSQL - Cassandra/HBase
  • Distributed File Systems - Hadoop HDFS
  • Distributed Batch Processing - Hadoop, Spark
  • Distributed Event Processing - Kafka, Storm
  • Distributed Cluster Management - YARN, Mesos
14

Hours

Distributed Databases

For Architects

You can learn use cases, strengths and weaknesses of Distributed Databases like Cassandra, MongoDB, HBase

  • RDBMS Scaling Features & Limitations
  • Distributed Databases - Introduction, CAP, NoSQL
  • Types - Key Value, Document, Column Family, Graph
  • Cassandra - Data Model and Archtecture
  • HBase - Data Model and Archtecture
  • MongoDB - Data Model and Archtecture
  • Running Cluster - Cassandra, MongoDB