![]() In the early 1990's he was an EVP in Marketing for a software development company and chaired the ANSI X12C Standards Committee on Data Security for Electronic Data Interchange (EDI). In the 1980's he was a VP in Electronic Payments for Bank of America in San Francisco and New York. In the 1970s he designed, programmed, and managed banking systems in Manhattan and Boston. His early work life was as a high school teacher in Australia. in Education (Educational Technology) at Walden University. He has a BSc in Mathematics from the University of Adelaide, South Australia an MSc in Computer Science from the University of Birmingham, England and has just completed a Ph.D. He teaches courses in BigData (BigInsights and Streams), Optim, Guardium, and DB2, and Informix databases. He has worked at IBM, and previously at Informix Software, as an instructor, a course developer, and in the enablement of instructors worldwide. ![]() Glen joined IBM in 2001 as a result of IBM's acquisition of Informix Software. Mules is a Senior Instructor and Principal Consultant with IBM Information Management World-Wide Education and works from New Rochelle, NY. Recommended skills prior to taking this course It can be audited as many times as you wish.Module 3 - The Big Data and Data Science.Learn why Hadoop is a great Big Data solution and why it's not the only Big Data solution. ![]() Get recommendations on how to process big data on platforms that can handle the volume, velocity, variety and veracity of Big Data.Gain insights on how to run better businesses and provide better services to customers.This means we don’t have to change how we work as we growHelloSign now Dropbox Sign now Dropbox Sign and Dropbox Business will. For an IT team, that’s the dream: everyone gets the same experience, and maintenance is simple. Get answers to fundamental questions such as: What is Big Data? How do we tackle Big Data? Why are we interested in it? How does Big Data add value to businesses? HelloSign now Dropbox Sign now Dropbox Sign is location and device-agnostic, and scalable. How big is big and why does big matter and what does Apache Hadoop have to do with it? In this course you will see the Big Data big picture and you will learn the terminology used in Big Data discussions.
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