Information-rich Data Landscape Today’s complex data landscape precludes reliance on a traditional, structured approach to data analysis for organizations seeking to extract the most insightful information from the data. The structured approach, characterized by pre-defined KPI’s and measures, was sufficient in the past when analysis was restricted to clearly understood enterprise data. Now, information-rich external … Continue reading “Three Reasons to Consider Zaloni’s Data Lake Platform”Read More..
Pitney Bowes’ Single Customer View solution launched on March 31, 2016 arrives at a time when customers are demanding greater personalization in their interactions with businesses. An unambiguous, up-to-date 360-degree perspective on individuals and organizations is now essential for conducting business most effectively in the Financial Services, TelCo, Insurance, Retail, Healthcare, and Public sectors. Ecommerce … Continue reading “Pitney Bowes’ New Solution brings Unified Customer Recognition across Channels”Read More..
Three reasons why you should be impressed with Informatica’s Intelligent Data Lake platform: Cohesiveness, Cohesiveness, and Cohesiveness! Informatica raises the bar While other leading Data Integration vendors advertise a broad portfolio of products that might include Master Data Management, Self-service Data Preparation and Big Data Integration, Informatica raises the bar by combining the power of … Continue reading “What differentiates Informatica’s Intelligent Data Lake platform?”Read More..
Data Virtualization is a growing segment of the Data Integration market. A key player, Denodo, has just announced Release 6.0 of its Denodo Platform by end of March. Key distinguishing features of this latest release are expected to push this vendor to the forefront of Data Virtualization implementation. These features (see below) include exploitation of … Continue reading “Denodo Platform 6.0 Accelerates Data Virtualization Initiatives”Read More..
Syncsort is a key player in mainframe data access and integration. The company’s DMX-h product enables ingestion of historical, mainframe data into Hadoop, thereby capitalizing on the power of Hadoop for processing and analyzing mainframe data in combination with other relevant data. Syncsort has taken a significant leap forward with its latest release of DMX-h … Continue reading “Syncsort Establishes a New Milestone in Exploiting Mainframe Data with Hadoop”Read More..
We are anticipating an exponential growth in the availability of genomics big data, thank to Next-generation Sequencing (NGS) platforms that have reduced the time and cost for sequencing genomes. NIH data (see Figure 1) indicates a reduction in the cost of sequencing an entire genome from $100M in 2001 to around $1,000 in 2015. In a … Continue reading “8 Challenges for the Biomedical Industry in terms of Big Data”Read More..
There exists a viewpoint that big data has achieved maturity. From my perspective, there is still room to grow. Traditional data management and data integration approaches continue to undergo changes that are disrupting and altering product offerings, or resulting in entirely new product offerings. Big data oriented analytic use cases are evolving rapidly, which will … Continue reading “Why Big Data Is Still In Its Adolescence!”Read More..