CTOvision
DECEMBER 21, 2016
Big data is extremely beneficial to businesses, and gathering it is now easier than ever with today's technology. When it comes to the management of big data, therein lies the challenge. There are several reasons that managing big data remains a challenge. How to Manage the Big Data.
CTOvision
APRIL 20, 2017
Big data has almost always been primarily used to target clients using tailored products, targeted advertising. This has skewed the use of big data that often everyone simply assumes big data is for targeting the customer base. Brigg Patten. Reworking Internal Processes. Creating Better Products.
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CTOvision
JULY 9, 2014
The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.
CTOvision
JANUARY 21, 2014
Summary: Given the explosion of data production, storage capabilities, communications technologies, computational power, and supporting infrastructure, data science is now recognized as a highly-critical growth area with impact across many sectors including science, government, finance, health care, manufacturing, advertising, retail, and others.
CIO Business Intelligence
MAY 16, 2023
Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Data Storage: Computer scientists and programmers assert that blockchain offers certain advantages for data storage compared to alternatives.
Data Center Knowledge
JULY 22, 2013
Harvesting Big Data: How Farm Fields Boost Data Center Demand. Harvesting Big Data: How Farm Fields Boost Data Center Demand. The company recently expanded its data center to add more capacity for data storage. Data is permeating everything we do. Modular Data Centers.
Scott Lowe
APRIL 8, 2013
I’ve tested it and it works as advertised. He describes cloud as the synthesis of many different forms of innovation within IT , pulling together things like open source, virtualization, distributed programming, NoSQL, DevOps/NoOps, distributed teams, dynamic languages, and Big Data (among others). Virtualization.
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