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Big Data Fundamentals

Discover the current thinking and state of the art for managing and manipulating large data sets using the techniques and tools of Big Data.

GK# 7286

Course Overview

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In the modern world, data is being generated at an exponential rate. Business data generation is increasing at a similarly rapid rate. Only a small percentage of business data is structured data in rows and columns of databases. This data proliferation requires a rethinking of traditional techniques for capture, storage, and processing. Big data is a term that describes data sets so big they can’t be managed with traditional database systems. Big Data is also a collection of tools and techniques aimed at solving these problems. This learning path covers the current thinking and state of the art for managing and manipulating large data sets using the techniques and tools of Big Data.

Schedule

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What You'll Learn

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  • Big Data Fundamentals
  • Big Data Interpretation

Outline

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On-Demand Outline

Big Data Fundamentals

  • Recognize the key characteristics of big data
  • Identify the benefits of big data to organizations
  • Distinguish between the two types of data source in big data
  • Recognize applications of big data by market sector
  • Identify best practices for securing big data
  • Recognize the phases of the data life cycle

Big Data Interpretation

  • Sequence the five steps of the data analysis process
  • Identify the four data analysis categories
  • Recognize basic data analysis methods
  • Recognize advanced data analysis methods
  • Recognize some of the most common big data tools used for data storage, management, cleaning, and mining activities
  • Recognize some of the most common big data tools used for data analysis, visualization, integration, and collection activities
  • Identify the challenges associated with big data analysis

Who Should Attend

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Individuals who want to learn fundamental concepts and achieve a basic working knowledge of big data.

Course Delivery

This course is available in the following formats:

On-Demand

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