Steven Yaskin

Big data and emerging data integration capabilities make it possible to generate insights from vast quantities of data, something that was not possible before and ultimately changing the way companies use information. The big data industry is seeing a boost in development and adaption recently, even though the technology was created years ago. This boost is driven by ever increasing amounts of data and the need to process it in flight and integrate with traditional data repositories, all with scalability and performance in mind. Today's market requirements are to process petabytes of data in milliseconds without impacting enterprise data warehouses. Big data (map/reduce) combined with new data management technologies enable Business Intelligence vendors to operate on large volumes of data and even virtually integrate the data with traditional datawarehouses. IT depar... (more)

The Disrupter: Google Enterprise Apps

According to study by the Burton Group, the next disruptive technology in the enterprise business solutions will come from the Google Enterprise Applications portal (Burton Group: The Disrupter: Google Enterprise Apps by Guy Creese, Senior Analyst, Collaboration and Content Strategies, March 19, 2007). Global companies, as well as individual users, will be able to shop online a-la-carte style and choose the applications they need. Integration will be a thing of the past, as all of the applications will run on the same Google GWT platform. This is what makes software giants like ... (more)

Queplix Data Virtualization and Hadoop - Marriage Made in Heaven

Recently, there has been a lot of news covering advances in parallel processing frameworks, such as Hadoop. Some innovative data warehouse software vendors are increasingly starting to research new development strategies that parallel processing offers. So far, the majority of thsee efforts were targeted at improving the performance and optimization maps of queries within the traditional physical data warehouse architectures. For example, traditional data warehouse vendors like Teradata joined the Hadoop movement and applied parallel processing to their physical DW infrastructu... (more)