There is a growing need for versatile, hybrid architectures that can combine the best of both data warehousing and big data analytics. The cloud is the perfect solution, because it makes it easier to build a robust data warehouse as a central “hub”, and then add other environments that can be
Volumes of data generated from a variety of sources can be a challenge to wrangle. Take a look at the advanced Design Data Flow beta capability of IBM Bluemix Data Connect that enables consumption of large data volumes from disparate sources, which can then be curated for deriving insights and
IBM extended Big SQL, which was formerly exclusive to the IBM Open Platform (IOP), to the Hortonworks Data Platform (HDP) in September 2016. I recently spoke with Berni Schiefer, an IBM fellow in the IBM Analytics group, to learn more about the offering and the ongoing IBM focus on SQL.
Advances in tools and the capability to work with cloud-based data sets are dramatically changing the nature of data science workloads. Take a look at one data scientist’s quest to learn more about performing data science analysis in the cloud.
The choice to flex a data warehouse on a private cloud is a personal one. It offers benefits in three key areas: enhanced control over data and apps, better management and monitoring, and custom tailoring that is built to address specific user requirements and self-service applications.
On the heels of several key announcements to broaden the IBM Cloud Data Services portfolio, see how a wide range of technologies can be implemented in a cloud-based, data warehouse architecture to support operational and analytical workloads.
Insight 2015 has been a one-of-a-kind experience, treating attendees to an in-depth look at how cloud technology can drive continuous innovation in their industries. Hybrid solutions are the order of the day in data management, and Insight attendees are leading the way.
From the general session to the Hack the Weather finals, attendees at Insight 2015 enjoyed an embarrassment of riches on day two of the conference. Read on for a rundown of the sessions and events that made the second day of Insight a resounding success.
The modern data warehouse (DW) lives in the cloud and is rapidly evolving into an in-memory platform for high-performance in-database analytics. As evidenced by IBM’s launch last year of dashDB and the latest enhancement release to the service, the fully managed in-memory cloud DW is already a
As 2014 draws to a close, the proverbial elephant that we call big data is smarter, more sensitive and more agile than ever. It’s got a much more varied array of advanced analytics riding on its broad back. More than that, it’s performing these amazing feats as a team player within a growing troop
Learn about the new dashDB product, which makes a powerhouse of data warehousing and analytics technology accessible to everyone on the cloud. A fully managed service that can help IT professionals, data scientists and line of business analysts get up and running with insights from their data with
After day two at IBM Insight 2014 in Las Vegas, I am reflecting on the plethora of big data and analytics capabilities, innovations and opportunities that filled the Mandalay Bay Convention Center (which, by the way, is nearly a mile, all indoors, from one end to the other, so there was a lot to