Reltio provides the world’s largest enterprise customers with real-time Big Data Applications that help business users understand markets, drive revenue and reduce risk through actionable, real-time and predictive insights integrated into applications and dashboards. These applications require the ability to not only handle data scale, latency, and high availability but also deliver capabilities that address reconciliation of data from multiple sources, handle multiple dimensions (various entities, relationships and interaction data) of varying complexity, with the ability to track audit and bi-temporal data. To solve this challenge, Reltio leverages Cassandra as the enabling data store for multi-tenancy, complex attribute structures, graph storage, real-time search and analytics. These capabilities are delivered as a Service to customers across verticals to address scenarios such as Extended Client views, Client experience & engagement, and Risk & Compliance.
In this slidecast, Zev Laderman from Newvem presents: Newvem – Know Your Cloud.
Newvem is the leader in enhancing cloud usage effectiveness through data analytics. Newvem’s suite of tools utilize both cloud data analysis and crowd sourcing to enable DevOps, IT Managers and other Cloud Stakeholders to get to the bottom of their cloud faster by operating more efficient, secure, and cost effective clouds.”
Companies are spending billions on BI, but aren’t getting the insight they need into their data. BizData Monetization is a new strategy used to generate business value from data. GoodData Bashes provide real-time, actionable insight to help monetize BizData.
How would you like to win $100 for your Startup? 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 company was declared as the winner of the GPU Technology Conference’s Early Stage Challenge this year, and they will be going home with a cool $100,000 check.
Over at insideHPC, the RichReport is featuring a slidecast with Axel Kloth from SSRLabs. The Silicon Valley Startup has developed an innovative Big Data coprocessor architecture optimized for bandwidth and power efficiency.
Scalable Systems Research Labs is a Silicon Valley startup focused on the development and sale of a family of coprocessors to solve the “Big Data” problem by accelerating execution of applications for customers who demand higher performance and where the power supply or cooling capacity is limited. These coprocessors work with a variety of standards-based application programming interfaces (APIs). SSRLabs’ family of coprocessors improves floating-point computation and analysis of multi-dimensional datasets at substantially higher performance levels and lower power consumption compared to traditional processors.”
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Over at Business Insider, Max Nisan writes that Chicago-based Startup FoodGenius is bringing Big Data to the food industry. The company sells a dashboard that runs analytics on what 330,000 restaurants are serving, allowing customers to see nationwide trends.
The food world has really been split down the middle,” said FoodGenius co-founder Justin Massa. You’ve got grocery [on the one side], and restaurants or food service on the other. On the grocery side of the world, they’ve had data for a long time. Companies like Nielsen and IRI, although they don’t describe themselves this way, were some of the first ‘big data’ companies. They were taking large sets of data that were really messy across lots of different areas and stores, normalizing them, and providing insights about the industry. On the restaurant side of the world, I think there’s never been a robust data industry largely because the data just didn’t exist.
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At first blush one might presume that QuantCell is some Java Swing version of yet another spreadsheet program. In actuality it is the latest taxon in the phylogenetic tree of the computer spreadsheet evolution that started with VisiCalc in the late 1970’s, and is now dominated by Microsoft Excel, certainly one of the most popular computer programs of all time. Where prior incarnations of the spreadsheet category were restricted by the rows, columns and functions that were vested into it by the programmer, QuantCell is consummately extensible thanks to its knowledge of Java and JVM languages. Most recently QuantCell has found a niche in big data, providing templates for quickly entering Map and Reduce formulae into its latticework. At its most basic level QuantCell cells can accept not only the traditional functions generally associated with a spreadsheet; they can also contain instantiations of Java (or Scala or Jython or R) objects.
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