Analytics has profoundly altered the retail industry. The combination of real-time, predictive analytics—in conjunction with traditional historic analytic capabilities—has reconfigured the way...
Data lakes are quickly becoming a hot topic as enterprises determine how best to organize and access the large volume of data they have been generating. Data Lakes are attractive for several...
Cambridge Semantics’ #SmartDataChat on Twitter May 25, 2016 provided an engaging conversation with several well-respected industry observers regarding data governance in the era of big data...
Data transformation is one of the most vital facets of data management. Prior to integrating data sources, conducting analytics, or utilizing data in most operational applications, data must be...
State Street Bank, The EDM Council, Dun & Bradstreet, Wells Fargo and Cambridge Semantics completed an engagement to harmonize State Street's Interest Rate Swap data with Dun & Bradstreet's entity...
On my flight back to Boston from Grapevine, TX, where we spent three exhausting and exhilarating days at Gartner BI & Analytics Summit, I am reflecting on the great interest shown in Cambridge...
We had a record attendance at our webinar, Smart Data Lakes - Game Changing, Graph-Based Data Discovery, Analytics and Governance for the Enterprise. Presenters Ben Szekely, Marty Loughlin and Jim...
Many data lake projects achieve their IT objective: cheap storage of all enterprise data in raw form, but fail in their business objective to deliver value from this data. Why? Because making the...
Legacy applications that have exceeded their useful life can be expensive to maintain. They often require specialized skills and old versions of software and hardware to support. But, they can also...
Many Hadoop users, seeking higher performance and a better analytics engine, are turning to Apache Spark for data transformation (ELT) on HDFS. While Spark offers many advantages, you still need...
