Big data is fast becoming the new normal in the data architecture of enterprises. What organizations are now trying to figure out is how to put together an effective analytics and data science strategy in place.
We’re in the midst of a dramatic shift in data architecture. Leading businesses are undergoing a digital transformation and creating a first-mover advantage. Companies worldwide are moving away from legacy systems toward modern, next-gen systems. The reason for this shift? Gaining a competitive advantage has never been more important, and organizations are turning to real-time analytics for help. They’re achieving unparalleled value by converging analytics with operational processes.
MapR partnered with AtScale to conduct a Big Data Maturity Survey that included over 2,550 participants worldwide.
The survey, the industry’s largest study on Big Data Maturity, focused on best practices learned and intentions going forward. Participants were from companies that have deployed big data technologies.
Many organizations have invested in big data technologies such as Hadoop and Spark. But these investments only address how to gain deeper insights from more diverse data. They do not address how to create action from those insights.
Forrester has identified an emerging class of software—insight platforms—that combine data, analytics, and insight execution to drive action using a big data fabric.
Read the Ovum report “Data Lakes: The Six Key Building Blocks to Success” by well-known industry analyst Tony Baer. You will come away with a firm understanding of the capabilities required in an underlying platform to enable building a successful data lake. You’ll also learn how the MapR Converged Data Platform meets the key requirements needed to support building a data lake, and much more.
Forrester Research ranked MapR-DB as having the strongest "Current offering" when compared against the top 15 NoSQL big data vendors.
Data Governance is essential to delivering maximum value from your big data environment. Without knowing what data you have, what it means, who uses it, what it is for, and how good it is, you can never create the insights and information needed to run a modern data-driven enterprise. Instead of an afterthought, data governance needs to be front and center in the organizational effort to harness the power of its data.
TDWI Checklist Report provides seven streaming analytics best practices.
Gartner has identified the 11 most important functional capabilities required to support today’s top data warehouse use cases.