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Training

40

Hours

Upskill Software Architects and Developers

For Developers And Architects

You can learn architecture principles for creating large-scale applications with the help of new technologies like Big Data Processing, IOT Stream Processing, Micro-Services, Distributed Databases, Docker containers, Cloud Computing and Continuous Development

  • Create and run Docker container images
  • Create scalable, highly available and secured micro services with CXF Spring on Jetty
  • Create clusters of distributed databases and use them along with micro-services
  • Create Big Data pipeline with Hadoop and Spark for batch processing of large amounts of unstructured data
  • Create Big Data and IOT Stream data pipeline with Spark-Streaming for ESP and CEP of high velocity data
  • Run large scale application clusters on Google Cloud using Kubernetes
  • Create build and test pipelines for continuous integration and development
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