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The definition of big data holds the key to understanding big data analytics. According to the Gartner IT Glossary, Big Data is high-volume, high-velocity and high-variety information assets that demand cost effective, innovative forms of information processing for enhanced insight and decision making.
- Volume refers to the amount of data. Many factors are contributing to high volume: sensor and machine-generated data, networks, social media, and much more. Enterprises are awash with terabytes and, increasingly, petabytes of big data.
- Variety refers to the number of types of data. Big data extends beyond structured data such as numbers, dates and strings to include unstructured data such as text, video, audio, click streams, 3D data and log files.
-Velocity refers to the speed of data processing. The pace at which data streams in from sources such as mobile devices, clickstreams, high-frequency stock trading, and machine-to-machine processes is massive and continuously fast moving.
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State of the Cloud
Cloud has drastically changed how IT organizations consume and deploy services in the digital age. This research report will delve into public, private and hybrid cloud adoption trends, with a special focus on infrastructure as a service and its role in the enterprise. Find out the challenges organizations are experiencing, and the technologies and strategies they are using to manage and mitigate those challenges today.
Getting Started With Emerging TechnologiesLooking to help your enterprise IT team ease the stress of putting new/emerging technologies such as AI, machine learning and IoT to work for their organizations? There are a few ways to get off on the right foot. In this report we share some expert advice on how to approach some of these seemingly daunting tech challenges.
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12/29/2015 | 3:56:01 PM
New Master of Science in Business Analytics at Wittenberg University in Dayton-Springfield, Ohio
A new Master of Science in Analytics degree at Wittenberg University's Business School will be offered in August 2016. The program will be a cohort-based degree program.
Wittenberg's masters of analytics program addresses a variety of classic big data problems within domains ranging from marketing, supply chain management, sales and or human resource management. In addition, we see this program serving a broader base of students ranging from science, engineering, and research. The program will employ methods and tools dealing with data management, analytics, process, and the ability to convey results in terms of business impact and value. Classes within the program will include data visualization, optimization techniques, data mining, machine learning and statistics. Specific emphasis will be put on descriptive, predictive and prescriptive methodologies focused on solving real business problems from participating companies. Our students will be equipped to employ the right tools and methods to solve those data problems within the timeframe of the program through the capstone course. Please contact Dr. Eugene A. Pierce, Director of the Analytics Program at Wittenberg for additional information at [email protected]