MIT’s Institute for Data, Systems, and Society (IDSS) is focused on addressing a broad range of challenges by promoting research and education in Data Science education, statistics, decision making, and the social sciences. It was launched simultaneously, in the Fall of 2016, with MIT’s new Minor in Statistics and Data Science, and is available to […]
Jethro Builds Only All-in-One Enterprise Platform to Power BI on Big Data
by Angela Guess A recent press release reports, “Jethro, provider of an acceleration solution that enables Interactive Business Intelligence (BI) on Big Data, today announced Jethro 3.0. The product is the only all-in-one enterprise solution that combines the power of indexing architecture with ‘auto-cubes’ to accelerate all possible business intelligence use cases using big data. […]
Knetik Announces the Launch of Knetik Analytics
by Angela Guess According to a new press release, “Knetik announces the launch of its Contextualization and Behavior Analysis Analytics Engine. Operating in beta for the past 18 months, it has delivered billions of data points of contextualized transactions that lead to better understandings of consumer behavior. Delivering more than a standard business intelligence engine, […]
Data Lake Management Buyer’s Guide Brings Clarity to Big Data Technology Selection Process
by Angela Guess A recent press release states, “One of the toughest challenges with data lakes is getting the complex infrastructure right in order to derive maximum value from big data. To help IT teams understand and navigate this process, Zaloni, in partnership with IT analyst firm Enterprise Strategy Group, today released a user-friendly buyer’s […]
Weaving Your Own Big Data Fabric
Click to learn more about author Ravi Shankar. With Big Data, anyone with a modest budget can store, manage, and process vast amounts of data. The problem is, many companies are storing data from different systems in different formats, creating Big Data silos that results in large datasets that need to be integrated manually. Aside from […]
Data Governance vs. Security
Click to learn more about video blogger Stefan Groschupf. Introducing the Big Data & Brews video blog series presented by Stefan Groschupf, Founder of Datameer. The series will touch on hot topics within the business of Big Data, Analytics, Internet of Things, Cloud Computing, Machine Learning, Modern BI, NoSQL and Next Generation Technologies. In today’s video blog Stefan Groschupf gives […]
5 Pitfalls to Avoid from Real Stories of Analytics Projects (Part 1)
Click to learn more about author Germán Viera. In today’s modern workplace, capitalizing data is not a competitive advantage anymore, but a must have skill. Businesses around the world are transforming their data flow processes in order to democratize the information within their own structure. The objective is to provide mid-managers and area managers the […]
Smart and Scalable: The Next Generation Data Lakes
Data Lakes have come under some scrutiny in recent times, with complaints that businesses wind up storing anything and everything in them, yet aren’t realizing the value they expected from all the data they’ve piled up. Sam Chance, who’s recently taken on a Managing Director role in Cambridge Semantics Solution Engineering organization, has a take […]
The Virtual Operational Data Store Demystified
The Virtual Operational Data Store (VODS) can be appreciated by anyone who needs to get somewhere on time. For example, a commuter benefits from an intelligent application like Waze, to find out where traffic is backed up (say from a major accident) and to suggest alternate routes. Drivers benefit when intelligent transportations coordinate traffic lights […]
Big Data Applications: Managing Complexity with Success
In essence, Unravel Data makes processing Big Data easier. The program was designed to resolve the complicated and disconcerting problems that emerge when processing Big Data. These applications can become confusing and difficult to operate. Never-before-seen challenges arise with chronic regularity, leaving research teams constantly struggling with issues such as allocating resources, scheduling, and debugging. […]