“More than 15 billion IoT devices will connect to the enterprise infrastructure by 2029.” Finding data is not going to be a challenge, clearly, but taking advantage of it all to drive business outcomes will be. Combining AI and machine learning (ML) with data collection and processing capabilities of the edge and the cloud may hold the answer.
Both businesses and governments have been forced to respond to the global pandemic by developing interactive user experiences and spatial applications using location-based data sets to visualize COVID cases, communicate confinement measures, and track vaccine rollout progress.
Over the past few years, many organizations have experienced the benefits of migrating their SAP solutions to Google Cloud. But this migration can do more than reduce IT maintenance costs and make data more secure. By leveraging BigQuery, SAP customers can complement their SAP investments and gain fresh insights by consolidating enterprise data and easily extending it with powerful datasets and machine learning from Google.
With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.
“Data acumen” is a powerful new term. I heard it used recently in relation to a historically hard problem for the Department of Defense (DoD). The problem is the speed of data change. David Spirk, DoD’s Chief Data Officer, gave an historic keynote at GovCon Wire’s Data Innovation Forum, which was held in June 2021. He was joined by three key leaders in DoD data: Thomas Sasala (Navy), Eileen Vidrine (Air Force) and David Markowitz (Army).
My name is Shanmukha Kota and I am a recent graduate from University at Buffalo. I interned with Cloudera last summer and joined Cloudera as a software engineer a couple of weeks ago and this is my first experience with CDP and CDP Operational Database. For a new hire college graduate in the industry with only academic experience with HBase, I can only say it is very simple and easy to set up and work with CDP Operational Database.
