Knowledgent’s own Informationist Christ Blotto will be speaking at the MDM & Data Governance Summit at the Sheraton Times Square in New York City October 5-7. Chris is presenting “MDM in a Big Data World” at the Industry Innovation Lunch on Monday, October 6, from 11:45am to 12:45pm.
“More organizations are looking at Big Data solutions, such as the Data Lake, for managing their data, and their users need to be able to find the data they need when they need it,” explains Mr. Blotto. “As a result, there is a need for an on-demand Data and Analytics as a Service model, one that is not driven by specific analytics projects. MDM is a key enabler of this new paradigm.”
More information can be found in the press release here.
The Data Lake, a next-generation data storage and management solution, was developed to meet the ever-evolving needs of increasingly savvy users. However, building a successful Data Lake is often a cause for concern among business and IT users alike. Why do you need a Data Lake? What does the architecture look like? What elements are necessary? Continue reading White Paper: How to Design a Successful Data Lake
Our client was experiencing problems with managing their data assets. Data ingestion and processing were not managed in an organized way, causing users to waste time and effort when trying to find data. The large volume and variety of structured and unstructured data were only expected to increase as the organization grew. IT was struggling to balance the requirements of users with building a scalable, solid data foundation.
To meet their growing data needs, our client wanted fast, searchable, on-demand access to data and a way to conduct analytics and visualization on the data that users selected.
Continue reading Case Study: How a Global Company Leveraged a Data Lake Strategy for More Efficient Data Exploration
What’s in a name? Everything.
A name is an idea. It carries with it many dimensions of meaning that shape understanding. So why do we continue to speak in the clumsy and imprecise parlance of the day, embracing such emergent monikers as “big data“? (Wasn’t data always big? Isn’t it the economics of using that data that have favorably changed?) Simply put, the trends are racing in so many directions, changing the data landscape so quickly, that in order to keep up, we must employ the language being used, lest we fall short of the productive connections we seek to make. Continue reading What’s in a name? DAaaS is more than semantics.