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Alation Unveil Their “Google for Data” from Stealth Mode

Alation Google for Data StealthAlation, a California based data accessibility startup emerged from stealth mode last week to make available its enterprise data accessibility platform that promises to bring together machine learning and “human insight” to assist the data-driven organisation’s workforce in collaborative analytics, data search and discovery, data optimization and effective data governance. “Our customers have just given up on trying to build that one system that contains all of the answers,” explains Satyen Sangani, co-founder and CEO of Alation. “The data is changing too fast, there are just too few analysts, and the business’ appetite for information is insatiable.” “Alation is a system that tells the fastest way to get the right answer, whether it’s finding the right database, learning about best practice methods, appropriately modifying a query or asking an expert,”...
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Challenging the Lambda Architecture: Building Apps for Fast Data with VoltDB v5.0

Challenging the Lambda Architecture Building apps for Fast Data with VoltDBTraditional databases historically haven’t been fast enough to act on real-time data, forcing developers to go to great effort to write applications that capture and process fast data. Some developers have turned to tools like Storm or Spark Streaming; others have patched together a set of open source projects in the style of the Lambda Architecture.  These complex, multi-tier systems often require the use of a dozen or more servers. What we’ve learned developing the world’s fastest in-memory database is that OLTP at scale starts to look a lot like a streaming application. Whether you view your problem as OLTP with real-time analysis or as stream processing, VoltDB is the only system that combines ingestion, speed, robustness, and strong consistency to make developing and supporting real-time apps easier than ever....
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SiSense Research Shows Major Surge in UK Tech Investment

Sinsense Crunchbase Value UK Tech SectorSisense, the business analytics software company that offers business intelligence products has revealed in a new study, an increase in “confidence” in the UK tech sector through 2014. Analyses of a decade worth of startup data on 12,000 UK companies against data on approximately 300,000 companies in the CrunchBase database sheds light on investment patterns, leading technologies and geographical distribution providing “a bird’s-eye view of industry trends and developments,” explains Sisense. “Our analysis indicates the rise in, and assurance of both the UK market and the overall European tech scene,” says Co-Founder and Chief Evangelist of Sisense, Adi Azaria. “Until now, there was much talk and buzz about a resurgence. In just a few minutes, our dashboard provides the evidence to support this, along with the details on where and...
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Scale Up is the New Scale Out

Scale Up vs. Scale OutScale up or scale out?  As we develop better tools and strategies for treating the whole data center- real or virtual- as a “server,” the answer seems obvious: it’s all about scaling out.  But that’s the big picture. While we’re scaling up, to more and more boxes, inside the box the server is becoming a miniature data center.  And that change is bringing an esoteric set of programming challenges to more and more data store developers. It’s not a question of “scale up” or “scale out” any more. Like most either/or questions in IT, the answer is: neither, but also both. “Scale up” is just “scale out” in a box. From an IT operations point of view, it’s all good news. You can plan further in advance without knowing the...
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Facebook Diving Deeper into AI With Text & Video Recognition

Facebook Deep Learning AI F8The second day at F8, Facebook’s annual developer conference, saw quite a few updates from the social networking giant. Facebook’s Chief Technology Officer, Mike Schroepfer, addressed their “long-term technology investments” in Connectivity Lab, Facebook AI Research and Oculus. Speaking about Facebook’s AI endeavour, Schroepfer said demonstrated how they have progressed so far. Working with researchers in the field Facebook is tapping a relatively new advancement in technology called Memory Networks “which enables a machine to perform relatively sophisticated question answering.” Not being limited to Q&A, the AI system can mne images and recognize actions like sports in videos, as VentureBeat points out. “You can really get these systems to understand deep, minute differences,” Schroepfer said. A paper was published in October last year, through Cornell University, describing a new class...
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5 Painful Prediction Pitfalls

5 Painful Prediction PitfallsThrough my work with customers and data scientists building predictive applications based on the Blue Yonder Platform and integrating our standard products, such as Forward Demand, into customer workflows, I’ve encountered a few common prediction pitfalls. While these might not ruin the scientific validity of the model, they may affect the practicality of- and the applicability to- the business case. Predictive applications require applied data science and cannot live outside of their application domain. Watching out for these common prediction pitfalls will help you deliver predictive applications that are relevant to the business and help your customers make (or save) money: 1. Forecast what you can control In a predictive application, forecasts serve to make automated or semi-automated decisions. This means that for the best results, align the decision horizon...
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