Big Data

Understanding Big Data

Course Overview
This course provides an overview of big data concepts. This includes a discussion of binary conversions, the evolution of big data, as well as data anomalies. This course also includes examples of how big data is being used today by certain companies, the benefits of big data, as well as specific job roles that involve the use of big data.

Learning Objectives:

Upon successful completion of this segment, you should be able to:

  • Identify common big data concepts including data anomalies
  • Recognize ways in which big data is being used today as well as new types of data
  • Differentiate between various types of job roles involving big data

Content Partner:

SmartPros Ltd.

SmartPros Ltd. is a leader in online and offline continuing education for
accounting, finance and engineering professionals. With over 2,000 hours of
content, SmartPros has been providing mandatory continuing education
products since 1981. SmartPros provides services and content to its
professional and corporate clients, in a variety of media including Web, CD
ROM, and video. In the accounting market, SmartPros also has a predominant
news and information portal which receives 200,000+ visits per month and
provides services to over 100,000 subscribers. SmartPros' customers include
50% of the Fortune 500, as well as the major firms and associations in each
of its professional markets.

Prerequisites/Advanced Preparation:


Speaker / Author:

John Brooks is an Oracle content manager for Kaplan IT Training. He is certified in multiple versions of Oracle and Microsoft's SQL Server; he is also certified as an Amazon Web Solutions architect.

Software & Hardware Requirements:

  • 56k or Greater Internet Connection
  • Adobe Acrobat® Reader for the .pdf files
  • Modern DHTML Compatible Browser
  • Ram: 256 MB minimum
  • Sound card with speakers/headphones
  • Windows or Mac OS


Price (USD)

Standard Rate: $24.95


Course Code : 99BRK02

Release Date : 05/02/2019
Expire Date : 05/02/2021
Credits :
CPE 1.00
QAS 1.00

Course Level : Basic
Course Type : Self-Study
Length : 50min
Passing Grade : 70%
Field Of Study : Information Technology
Theme : Big Data

Format Type : eLearning
Mobile Compatible

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