Big data News
January 14, 2018
The latest data breach in Leicester City Council , putting some of the most vulnerable in society at immediate risk from potential local predators, illustrates why it is so important to implement ...
January 03, 2018
This is a guest blogpost by Sebastian Darrington, UK MD at Exasol The days of operating a single vendor IT software estate are behind us. Such is the pace of innovation and change, putting all your ...
November 30, 2017
A new Ovum survey cites telecom and banking as the industries making the most progress in digital transformation, while also ranking big data and APIs as the top tech enablers.
November 02, 2017
This is a guest blogpost by Partha Sen, CEO and co-founder of Fuzzy Logix. Ever heard of the legend of Alexander the Great and the Gordian Knot? According to the myth, Alexander was confronted on ...
Big data Get Started
Bring yourself up to speed with our introductory content
Big data is driving the use of AI and machine learning. But teams must be swift to embrace DevOps and re-evaluate models, according to Wikibon's James Kobielus. Continue Reading
A data janitor is an IT employee that cleans up big data sources to prepare them for data analysts and data scientists. Continue Reading
Analytics and new data sources are opening the door for municipalities to deploy big data policing strategies that potentially can improve emergency response times, a software vendor exec says. Continue Reading
Evaluate Big data Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
We're moving into an era of decentralized and distributed computing where everything computes together as if peer-to-peer nodes on a global mesh computer. Continue Reading
As part of its Big Data Cloud Service, Oracle provides a set of internal and external tools designed to help users efficiently deploy and manage Hadoop-based big data systems. Continue Reading
IoT World's Gavin Whitechurch explains why IoT data and AI are going to be critical in the next generation of technology-oriented enterprises. Continue Reading
Manage Big data
Learn to apply best practices and optimize your operations.
Resume analysis turns out to be a perfect application for machine learning and big data. Vendors are looking at successful employees, compiling historical data and seeking out patterns. Continue Reading
Should data be governed independently of other data processes? Expert Tom Nolle discusses how data-centric EA models might be necessary. Continue Reading
In some regards, the term big data management can be viewed as an oxymoron. In fact, oxymorons abound in this industry and society -- virtual reality, artificial intelligence, science fiction and awfully good, the latter of which can apply to the challenges encountered in managing the onslaught of big data from multiple sources. There are countless tools, techniques and practices available for the big data ecosystem to properly gather, mine, prep, store and analyze data and help smooth operations, build marketing campaigns, improve customer service and develop the next new product disruptor. As simplistic as this may sound, it's up to data managers to sort it all out as their data lakes swell beyond capacity.
"The data lake isn't where data goes to die," Gartner analyst Merv Adrian said at the 2017 Pacific Northwest BI & Analytics Summit, "it's where data goes to live."
October's Business Information opens with our editor's note and advice for data managers to move beyond traditional data control to the critical task of improving data quality and delivery -- taking all that raw data and making it useful. Whether for internal or external business use, the demands for instantaneous data access continue to accelerate, spurred on by mobile apps, artificial intelligence (AI), machine learning and internet of things (IoT).
In that vein, our cover story examines companies that use their big data ecosystem to divert data lakes toward developing new strategies, products and revenue streams -- in the process, smashing their old business patterns. In another feature, IoT and machine learning technologies help take the guesswork out of estimated times of arrival for transport companies whose businesses depend on shipping and receiving goods.
Also in this issue, a business intelligence project combined three data warehouses into one to reduce warehouse size by 80% and data load time from several weeks to just days while causing IT staffing problems in the process. In other features, learn how metadata programs can ease mega management woes; semantic technology could be a blessing or curse to AI; companies are gearing up for greater big data management deployments; and all data must be treated equally in the search to find value.Continue Reading
Problem Solve Big data Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
Navigating the uncharted ocean of IoT big data is exciting and challenging. Rick Harlow of Flutura mapped out seven core IIoT big data use cases to help. Continue Reading
This Essential Guide explores enterprise data analytics strategies and how to select the right infrastructure, management tactics and technologies for your organization. Continue Reading
Data management teams are asking more questions about data security, Gartner analyst Merv Adrian says in a Q&A. But new factors are complicating the process of securing databases, he adds. Continue Reading