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TRANSMISSION TECHNOLOGIES

Big Data – Modeling, Technology and Architecture

Course Overview:

Today companies have the capability to collect large amount of data. Handling large amount of data requires new technologies that are able to collect, cleanse, process and store effectively significant amount of information.

Many companies reached the conclusion that not using this collected data is actually losing large amount of money. Big Data market is estimated to surpass $200 billion this year.

There is a tremendous business in Big Data and with the right methodologies and tools this row Data can be available for use.

This course provides the basis for Big Data and NoSQL DB environment, architecture, process and available tools. The course will also present Big Data methodologies and deployment recommendations.

Course Duration:

3 days instructor-led training.

Course Outlines:

  • Introduction
  • Big Data Architecture
  • Data Collection & Ingestion
  • Hadoop
  • Apache Pig!
  • Apache Storm
  • Apache Spark
  • Big Data DB types
  • Key-Values Stores
  • Column Family Stores (Wide Column Stores)
  • Document Databases
  • Graph Databases
  • SQL’ over Hadoop
  • Big Data Deployment
  • Big Data Northbound Interfaces
  • Trends & Conclusion
Summary
Article Name
Introduction to Big Data and Data Analytics
Description
Main characteristics of Big Data-volume, variety, velocity and veracity; Data Warehouses – static schema, slowly evolving dataset Hadoop/Spark Based Solutions – no conditions on structure of dataset.
Author

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