Tableau Software (NYSE: DATA) today announced that more than 1,000 customer accounts are using its cloud-based product, Tableau Online. The milestone comes just nine months after the company announced the hosted version of Tableau Server, making it Tableau’s fastest-growing product.
Large Austrian retailer MPREIS has long been using QlikView for business analytics. When the data got too large, the company turned to ParStream to provide immediate query response on billions of records for QlikView’s Direct Discovery. Now the retailer is able to view aggregated and highly detailed information in the same dashboard in real-time. In this use case examination, we’ll take a look at the problem the company faced and the steps taken toward a solution.
Jaspersoft, the Intelligence Inside applications and business processes, and Talend, the global big data integration software leader, today announced the launch of Jaspersoft Extract, Transform, and Load (ETL) Expanded Big Data Edition. Powered by Talend, the Jaspersoft ETL Expanded Big Data Edition rounds out Jaspersoft’s suite of access technologies for Big Data sources, which now address virtually all reporting and analysis use cases.
Pivotal announced the availability of the Pivotal™ Big Data Suite, an annual subscription based software, support, and maintenance package that bundles Pivotal Greenplum Database, Pivotal GemFire, Pivotal SQLFire, Pivotal GemFire XD, Pivotal HAWQ, and Pivotal HD into a flexible pool of big and fast data products for customers.
Experfy, based at the Harvard Innovation Lab, announced that it has launched a paradigm-changing, online marketplace that will allow industry leaders to solve their Big Data talent needs. Enterprises now have a central platform for on-demand hiring of vetted experts with algorithmic skills and domain knowledge, primarily for short-term projects related to data, analytics and business intelligence.
“Our architecture permits tens of thousands of SSDs to be connected together and accessed in a parallel and concurrent way using direct mapping of memory accesses from a local machine to the I/O bus and memory of a remote machine. This feature allows for data transmission between local and remote system memories without the use of operating system services. It also enables a unique linear scalability of SSDs bandwidth and IOPS and consequently allows computation and data access to scale together linearly. This totally eliminates the bottleneck in bandwidth or IOPS and provides optimal dimensions of performance, capacity, and computation with an unmatched flexibility at a fraction of the costs.”
In this video from GTC 2014, Todd Mostak from MapD demonstrates the company’s GPU-powered in-memory relational database software for Big Data. The Cambridge, Mass., based startup has built a high-speed GPU in-memory database that brings interactivity to big data. It can, for example, track more than a billion tweets worldwide at a time – and provide real-time visual analysis of the data. MapD was also announced as the winner of the GPU Technology Conference’s Early Stage Challenge this year, and they will be coming home with a cool $100,000 check.