Your daily digest of “All Things Big Data” gathered, collected and researched by your very own 10Fold Big Data Practice team.
The Computer Technology Industry Association (CompTIA)’s recent survey, Big Data Insights, is examined by CIO Magazine. Of the 402 respondents, 51 percent reported having a big data project in place today, yet another 36 percent reported they were still in the project-planning stage. While many U.S.-based companies now have some form of big data initiative in place (31 percent surveyed said they were exactly where they wanted to be in managing and using data), yet few have managed to reach their data-related goals (only six percent felt their organization was where it needed to be in regard to data usage). Currently, some individual pieces of holistic data solutions are improving, but they are not yet integrated in a way that drives ideal results. While some businesses may have made progress in select areas of data management, many have not fully connected the dots between developing and implementing a data strategy in order to have a positive effect on other business objectives, such as improving staff productivity or developing more effective ways to engage with customers. CompTIA encourages companies to improve their data management by taking the measured steps of the three stages of data usage: collection and storage, processing and organization analysis and visualization.
When it comes to capturing data for cloud-based analytics, “big” does not even come close to being an adequate characterization. Big data keeps getting bigger, yet the percentage of data accessed by cloud-based analytics remains very low.IDC predicts the amount of data created annually is expected to grow from 4.4 zettabytes (2013) to 44 zettabytes in 2018 worldwide. It would seem logical that in the world of cloud-based analytics more data is better, but that is not always the case. IBM’s vice president of business analytics, Mike O’Rourke, said some kinds of data get more valuable over time, especially in specific industries such as wine vineyards or retail. While cloud data-storage providers work to expand storage capabilities, the problem is the small percentage of collected data that is used for analytics purposes.
Is Big Data too big for cloud-based analytics? – Tech Target
Cisco Systems Inc. acquired Jasper Technologies Inc. for $1.4 billion, strengthening its offerings in the growing market for technology that lets people manage technologies like jet engines and vending machines over the Internet.. This ambitious partnership will likely put Cisco in competition with Ericsson’s Device Connection Platform, a product that does many of the same things as Jasper’s platform.
Cisco-Jasper deal should make enterprise IoT safer – Computer World
Self-Service and Enterprise
- IBM Graph – a fully managed database service built on the open-source Apache TinkerPop graph-computing framework. Graph can help make real-time recommendations, including fraud detection.
- IBM Compose Enterprise – a platform designed to speed the development of Web-scale apps by enabling teams to deploy open-source databases on their own dedicated cloud servers.
- IBM Predictive Analytics – a new service that allows developers to make machine-learning models for built-in predictive capabilities.
- IBM Analytics Exchange – a self-service marketplace that includes more than 150 publicly available data sets that can be used for analysis or be integrated into applications.
Software-defined networking and other network virtualization technologies have driven conversation for years, yet the tech world is still in the early stages of SDN and NFV. Analysts and Markets expect the market to quickly grow to an estimated $11.5 billion between now and 2020. Quinstreet, the publisher of eWEEK, found that the market is moving beyond the hype with real and expected deployments growing vendor options. The publication presented a slideshow with examples of growth.