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...
Ernst and Young just released their 2015 Federal Reserve regulatory reporting survey looking at how firms are adapting to the new standards. The survey covered 5 key topics but two stood out as...
In a recent buyer case study, IDC examines the use of the Anzo Smart Data Platform by PricewaterhouseCoopers (PWC) in a sophisticated new class of financial Risk and Compliance solutions.
The Data Lake promises to transform enterprise data management and analytics by providing ubiquitous access to all enterprise data. Unlike traditional data warehouses that are often inflexible,...
Mike Atkin of the EDM Council speaks eloquently about the "perfect storm" for data in Financial Services. Two converging forces, regulatory reporting requirements and the need for customer insight,...
Data integration projects can be time consuming, expensive and difficult to manage. Traditional data integration methods require point to point mapping of source and target systems. This effort...
When I went to Text Analytics World in San Francisco earlier this month, I was struck at how many of the presenters, particularly consultants, ended their talks describing future directions of text...
