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Jan 29, 2015 |
Discussions of big data often revolve around what new technologies and processes people are using to analyze data. Hadoop, in-memory databases, and machine learning algorithms are getting lots of attention in this regard. But sometimes we tend overlook the most important ingredient in big data analytics: the data itself. Much of big data that organizations want to analyze exists within their own four walls. Relational databases make great repositories for structured data like account records, orders, and customer lists. Depending Read more…
Jan 21, 2015 |
Hadoop may be the top headliner when it comes to big data analytics, but it’s not the only game in town. A case in point is Interana, a Silicon Valley startup that today unveiled $20 million in funding to ramp up development of its tool for exploring massive amounts of time-series data. Interana‘s software is based on a distributed column-based database that enables fast access to vast amounts of time-series data. Running on X86 servers, the database itself can process Read more…
Jan 20, 2015 |
The rise of big data and analytics promises to transform many aspects of our lives, chief among them how we synthesize data and make decisions. Some theorize that big data will augment our own cognitive capabilities to the point where it’s like we have bionic brains. According to Deloitte Analytics, the field of cognitive analytics is an extension of cognitive computing, and is made up of three main components: machine learning, natural language processing, and advanced analytics. These technologies, combined Read more…
Jan 16, 2015 |
Data, data everywhere, but not a drop to use. Companies are increasingly confronted with floods of data, including “unstructured data” which is information from within email messages, social posts, phone calls, and other sources that isn’t easily put into a traditional column. Making sense and actionable recommendations from structured data is difficult, and doing so from unstructured data is even harder. Despite the challenge, the benefits can be substantial. Companies that commit to examining unstructured data that comes from devices Read more…
Jan 15, 2015 |
In a market rife with disruptive innovation, perhaps nothing will be as groundbreaking over the next five years as the widespread adoption of graph databases, according to Neo Technology CEO Emil Eifrem. Just four years since its founding, Neo Technology has risen to the top of the graph database heap, which itself has seen a remarkable amount of growth compared to other database types (see fig. 1). The company’s product, called Neo4j, is arguably the most mature of the graph Read more…
News In Brief
Jan 26, 2015 |
Marc Andreessen and Ben Horowitz are legendary in the Silicon Valley, having invested early in firms like Twitter, Facebook, Box, Skype, and Groupon. So when the Sand Hill Road experts with an eye for picking winners put machine learning near the top of its list of trends to watch out for in 2015, it was a cue that the technology is on the cusp of having a breakout year. The way that Andreessen Horowitz sees things, machine learning and big data Read more…
Jan 22, 2015 |
Organizations that adopt the latest generation of Oracle’s engineered systems will have more flexible configuration and licensing options available to them than previous generations. That will make it more cost effective to run emerging in-memory workloads, such as operational analytics, the company says. At a live launch event in Redwood City, California, Oracle chairman and CTO Larry Ellison unveiled the X5 generation of its various all-in-one server platforms. The Exadata Database Machine is headlining this new generation, and backed up Read more…
Jan 16, 2015 |
Retailers are getting hip to the latest fashion—using text analytics to predict what consumers are going to do and buy next. According to a new report by Allied Market Research, predictive analytics in the retail sector will be responsible for nearly a third of growth of the overall text analytics market. That market could grow 25 percent a year annually through 2020, when it may account for $6.5 billion in spending by organizations, they say. Predictive analytics will be big Read more…
Jan 9, 2015 |
The data analytics arm of defense contractor Lockheed Martin yesterday announced that it’s making a big data analysis tool available as open source. Dubbed StreamFlow, the tool is designed to make it easier for beginner programmers to work with Apache Storm. Apache Storm is a distributed computing framework designed to process streams of data in real time. The technology, which was acquired and then released as open source by Twitter several years ago, is a key component of the emerging Read more…
Jan 6, 2015 |
On the weighty matter of how best to use connected devices that will serve as the data-generating backbone of The Internet of Things (IoT), poll results released at this week’s Consumer Electronics Show in Las Vegas indicate that Americans are willing to use monitoring devices to keep track of their waist line but not their sex life. A&D Medical said it commissioned the online Connected Health Study in which the Harris Poll organization contacted more than 2,000 Americans in December Read more…
This Just In
Jan 16, 2015 |
Jan. 16 — According to a new market research report titled, “Global Text Analytics Market- Size, Industry Analysis, Trends, Growth and Forecast, 2014- 2020,” the global text analytics market has a potential to reach $6.5 billion by 2020, registering a CAGR of 25.2% during 2014-2020. Predictive analytics is the most attractive application within text analytics, which provides insights on unstructured text and helps the companies to formulate business strategies accordingly. Retail sector largely uses text analytics software, which approximately contributes 1/3rd of revenue amongst all industries. Use of Read more…
Nov 3, 2014 |
CARY, N.C., Nov. 3 — Hospital Universitari i Politècnic La Fe de Valencia is the first Spanish hospital to use advanced analytics and visual data mining to help improve outcomes for patients with chronic conditions. Through the La Fe Institute for Health Research, the hospital will implement SAS Visual Analytics, SAS’ flagship analytics visualization software, to help improve patient management and care. Chronic care is a priority for Hospital La Fe’s Health Department, with five percent of its patients classified as Read more…
Oct 22, 2014 |
AUSTIN, Tex., Oct. 22 — After 18 months focused on product and technology development, Cognitive Scale today emerged from stealth with the industry’s first technology independent cognitive cloud platform, four vertical industry applications, new customers, partnerships with technology titans, and 22 patents filed. The company is on track to close 2014 with multi-million dollars in revenue resulting from several high-value customer contracts. Cognitive Scale is led by a team of serial entrepreneurs and technologists with in-depth enterprise software expertise in cognitive computing, Big Read more…
Oct 16, 2014 |
NEW YORK, N.Y., Oct. 16 — Actian Corporation (“Actian”), the Hadoop analytics company, has launched the Actian Analytics Platform – Express Hadoop SQL Edition, a free community version of the industry’s first end-to-end analytics platform running 100 percent inside of Hadoop. With no limits on the number of Hadoop nodes, and data up to 500GB, Actian Express – Hadoop SQL Edition supercharges Hadoop adoption and accelerates time-to-value for organizations that have been struggling to get value from their Hadoop investments. Hadoop has Read more…
Oct 16, 2014 |
NEW YORK, N.Y., Oct. 16 — SAP SE today showcases customers, partners and start-up companies leveraging SAP HANA platform for Big Data. With SAP HANA, partners and companies like CSX Corporation, Computer Sciences Corporation (CSC) and Convergence CT (CCT) are simplifying the way people work and live. The announcement was made at Strata & HadoopWorld Conference being held October 15-17 in New York. SAP HANA enables organizations to acquire data from a variety of data sources including Apache Hadoop and Apache Spark, rapidly process and analyze large Read more…
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