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Home Courses 00 IT & CS Business Intelligence Courses Big Data – Generating Value out of Big Data
Home Courses 00 IT & CS Business Intelligence Courses Big Data – Generating Value out of Big Data

Big Data - Generating Value out of Big Data

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4.7 (90058 ratings)

What you'll get

  • 1h 32m
  • 9 Videos
  • Course Level - All Levels
  • Course Completion Certificates
  • One-Year Access
  • Mobile App Access

Curriculum:

    About the Big Data Training course:

    • We bring you the course on “Introduction to Big Data & Hadoop” to understand today’s challenge about the data trend and why it is easier for people to access the data so that they can gain insights and make better decisions.
    • By providing access to broader sets of information, big data can help maximize the analytical insights generated by data analysts and business users.
    • Successful big data analytics applications uncover trends and patterns that enable better decision making, point to new revenue opportunities and keep companies ahead of their business rivals.
    • Whatever type of big data technology stack a company deploys, there are some common considerations that must be addressed to en¬sure it will provide an effective framework for big data analysis efforts.
    • There has never been a more exciting time with respect to the world of data. We are seeing the convergence of significant trends that are fundamentally transforming the industry and a new era of tech innovation in areas such as social, mobile, advanced analytics, and machine learning.
    • We're seeing an explosion of data where there is an entirely new scale and scope to the kinds of data we are trying to gain insights from. How the Apache Hadoop framework comes in the picture when implementing Big Data solutions.
    • Hadoop systems and NoSQL databases have become key tools for managing big data environments.
    • The entire ecosystem, along with its supporting projects provides the users a highly reliable, fault tolerant framework that can be used for massively parallel distributed processing of unstructured and semi-structured data.
    • In many cases, though, businesses are utilizing their existing data warehouse infrastructure, or a combination of the new and old technologies, to manage the big data flowing into their systems.

    Why you should do big data  training?

    • This online course on Big Data  training will teach you about the all essential knowledge of big data framework.
    • This course presents an integrated approach to Big Data; we will start from the beginning about big data and hadoop fundamentals.

    Target Audience for Big data Training:

    • Those who want to build their career in data management system.
    • Anyone who wants to learn about hadoop framework
    • Anyone from data analyzes background.
    • Students who want to learn big data role in corporate world.

    Pre- requisites for Big data Training:

    • Basic knowledge of Big data concepts
    • Passion to learn
    • A computer with internet connection

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    Course Overview

    This course is a beginner training on Big Data. The course has been divided into two major modules which will explain you what Big data is in detail and also its importance. The aim of this training is to understand the challenge about the data trend and reasons as to why and how big data makes data easily accessible to people and help the, make better decisions.

    205
    Upto 2 hours 1h 32m | 9 Videos | 90058 Views | Appropriate for all  All Levels
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    About the Big Data Training course:

    • We bring you the course on “Introduction to Big Data & Hadoop” to understand today’s challenge about the data trend and why it is easier for people to access the data so that they can gain insights and make better decisions.
    • By providing access to broader sets of information, big data can help maximize the analytical insights generated by data analysts and business users.
    • Successful big data analytics applications uncover trends and patterns that enable better decision making, point to new revenue opportunities and keep companies ahead of their business rivals.
    • Whatever type of big data technology stack a company deploys, there are some common considerations that must be addressed to en¬sure it will provide an effective framework for big data analysis efforts.
    • There has never been a more exciting time with respect to the world of data. We are seeing the convergence of significant trends that are fundamentally transforming the industry and a new era of tech innovation in areas such as social, mobile, advanced analytics, and machine learning.
    • We’re seeing an explosion of data where there is an entirely new scale and scope to the kinds of data we are trying to gain insights from. How the Apache Hadoop framework comes in the picture when implementing Big Data solutions.
    • Hadoop systems and NoSQL databases have become key tools for managing big data environments.
    • The entire ecosystem, along with its supporting projects provides the users a highly reliable, fault tolerant framework that can be used for massively parallel distributed processing of unstructured and semi-structured data.
    • In many cases, though, businesses are utilizing their existing data warehouse infrastructure, or a combination of the new and old technologies, to manage the big data flowing into their systems.

    Why you should do big data  training?

    • This online course on Big Data  training will teach you about the all essential knowledge of big data framework.
    • This course presents an integrated approach to Big Data; we will start from the beginning about big data and hadoop fundamentals.

    Target Audience for Big data Training:

    • Those who want to build their career in data management system.
    • Anyone who wants to learn about hadoop framework
    • Anyone from data analyzes background.
    • Students who want to learn big data role in corporate world.

    Pre- requisites for Big data Training:

    • Basic knowledge of Big data concepts
    • Passion to learn
    • A computer with internet connection

    Back to top ^

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