B I G - D A T A - A N A L Y T I C S

Big-Data Analytics is the process of extracting useful information by analyzing different types of big data sets. It is used to discover hidden patterns, market trends and consumer preferences, for the benefit of organizational decision making. Big data analysis requires generally used software tools in the framework of higher analytical disciplines, such as data mining and predictive analysis. With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new sources of data, businesses are able to analyze information immediately.

I M R SMART @ Big-Data Analysis
  • Big-Data Architecture
  • Hadoop Ecosystem
  • H D F S
  • MapReduce
  • Data Science
  • Machine Learning
  • Artificial Intelligence
  • Project & Internship

I – S M A R T @ Big-Data Analytics Objectives

Big data analytics helps organizations harness their data and use it to identify new opportunities and leads to smarter business moves, more efficient operations, higher profits and happier customers.

  • To identify smarter business, efficient operations and higher profit.
  • To make better business decisions for volumes of transactional data.
  • To help students from social media platforms to third-party sources.
  • To identify  hidden  datasets, business decisions and business processes.
  • To meet and exceed client expectations and foster innovation.

I – S M A R T @ Big-Data  Analytics Program Overview

Kick-start your Big-Data Analytics journey with Big-Data Analytics program, aligned to competency standards  in collaboration with industry . This Big-Data Analytics course hands-on with technologies like R, Python, Machine Learning, Tableau, Apache Hadoop, and Spark through our Big-Data Analytics certification. Enhance your learning with our Big-Data Analytics  course with projects.

Big data analytics helps organizations harness their data and use it to identify new opportunities. It leads to smarter business moves, more efficient operations, higher profits and happier customers. The companies in the present market need to collect it and analyze it for Cost Savings. Big Data tools like Apache Hadoop, Spark, etc. bring cost-saving benefits to businesses when they have to store large amounts of data help organizations in identifying more effective ways of doing business.

  • Module 1: Introduction to Big Data & Big Data Challenges
  • Module 2: Solutions of Big Data Architecture
  • Module 3: Hadoop & its Features
  • Module 4: Hadoop Ecosystem
  • Module 5: HDFS (Hadoop Distributed File System)
  • Module 6: Hadoop Processing: MapReduce Framework
  • Module 7: Different Hadoop Distributions
  • Module 8: Capstone Project

I M R SMART SOLUTION PVT. LTD.

R E G I S T R A T I O N

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