Big Data

Human DNA database race to the clouds

Grazed from BWorldOnline. Author: Editorial Staff.

Academic institutions and health-care companies are picking sides between their cloud computing offerings -- Google Genomics or Amazon Web Services -- spurring the two to one-up each other as they win high-profile genomics business, according to interviews with researchers, industry consultants and analysts.

That growth is being propelled by, among other forces, the push for personalized medicine, which aims to base treatments on a patient’s DNA profile. Making that a reality will require enormous quantities of data to reveal how particular genetic profiles respond to different treatments...

IBM, UK to Collaborate on Big Data

Grazed from Datanami.  Author:  George Leopold.

The British government and partner IBM are investing £300 million (more than $456 million) to promote big data and cognitive computing research aimed at helping U.K. businesses engage with customers and suppliers.

Among IBM’s contributions to the big data project announced this week is a package of technology and “onsite expertise” valued at £200 million, including access to its Watson cognitive computing platform and at least 24 IBM researchers. They will work with U.K. big data scientists...

Google cloud strategy focuses on analyzing big data

Grazed from ComputerWorld. Author: Sharon Gaudin.

Google may not have caught up to Amazon in the cloud market, but that's OK, according to a Google executive. The company is heading in a slightly different direction with cloud computing that involves helping customers analyze their data. "It's not about catching up to [Amazon]," said Brian Stevens, vice president of cloud platform at Google.

"It's not just about lifting and shifting servers and such. It's not about doing exactly the same thing you've been doing. It's about doing things in a new cloud way." That could change the way companies do business. It also could help Google become a cloud powerhouse. Stevens, who spoke with Computerworld during Google I/O, the company's annual developer conference, said he wants the company's cloud offering to do more than simply enable enterprises to stop buying their own servers...

Cloud Computing: Salesforce Rolls Out Wave for Big Data, Expands Partner Ecosystem

Grazed from TopTechNews.  Author: Jennifer LeClaire.

CRM Relevant Products/Services giant Salesforce has come up with a new way to help enterprises drive more value from big data Relevant Products/Services and tap into more customer insights via its Analytics Cloud. It’s called Salesforce Wave for Big Data and it’s coming to market with an impressive partner list that includes Google, Cloudera, Hortonworks, New Relic, Informatica and Trifacta.

Salesforce Wave for Big Data aims to meet a valid -- and big -- need in the industry. According to the EMC Digital Universe Study, the digital universe is doubling in size every two years. If you can imagine it, the digital universe will multiply 10-fold between 2013 and 2020, from 4.4 trillion to 44 trillion gigabytes...

Read more from the source @ http://www.toptechnews.com/article/index.php?story_id=13100267EC52

Cloud Computing: IBM Watson gets smart in the oil refinery business

Grazed from ComputerWorld. Author: Joab Jackson.

Australian energy company Woodside Energy hopes to strike a gusher in its own backyard -- a gusher of information, that is. The company plans to improve the efficiency of its refinery plants by using IBM's Watson cognitive computing services to gather and share insights from its own engineers.

Woodside "wants to take the knowledge of their senior engineers and make it available, with the support of Watson, to a broader range of employees," said Ed Harbour, IBM vice president of the company's Watson Group. The two companies will partner to create a search engine, or "cognitive advisory service," that can be used by Woodside's engineering teams to ask complex questions about facilities management and design, according to IBM...

The Cloud Is Ready To Handle The Big Data Crush, With Some Exceptions

Grazed from Forbes. Author: Joe McKendrick.

Is cloud making a difference in Big Data efforts? Can it deliver the agility and scalability required to handle petabytes and exabytes’ worth of data coming out of enterprises and the Internet of Things? The answer to both questions is “yes, but,” according to highly engaging panel that was part of last week’s Data Summit, held in New York. I had the opportunity to moderate the panel, joined by David Mariani, CEO of AtScale, Wendy Gradek, senior manager with EMC, and Andy Schroepfer, chief strategy officer at Hosting.

Interestingly, the appeal of cloud is not about the cost at all — it’s about the change in the way enterprises view technology solutions. “People are fine with paying as you go,”said Mariani. “And they’ll probably pay more at the end of the day than they would if they paid up front.” Scalability is a huge factor in the appeal of cloud, said Gradek....

Cloud Computing: SAP/HANA Does Big Data

Grazed from SysConMedia.  Author: Kevin Jackson.

While SAP is globally renowned as a provider of enterprise management software, the name is hardly ever associated with the spooky world of intelligence. That is one reason why I jumped at the opportunity to talk with SAP executives responsible for the company's work in that clandestine marketplace.

SAP National Security Services, Inc.™ (SAP NS2™) is an independent U.S. subsidiary of the company and offers a full suite of SAP enterprise applications, analytics, database, cyber security, cloud, and mobility software solutions. These offerings, however, are endowed with specialized levels of security and support needed to meet the unique mission requirements of US National Security Agencies and critical national infrastructure customers...

Google Introduces Cloud Bigtable to Woo Big Enterprises

Grazed from Zacks. Author: Editorial Staff.

In a bid to boost its cloud offerings, search giant Google Inc. launched Cloud Bigtable, the managed NoSQL database it has been using internally for a number of years to store huge amounts of data online. A public beta version is now available, that is, it’s open to all developers but doesn’t provide a service level agreement or technical support.

The service costs 65 cents per node with one node delivering up to 10,000 reads and writes per second. Storage on SSD is priced at 17 cents per gigabyte a month on a pay-as-you-go basis. Cloud Bigtable is claimed to be a fully managed, high-performance and highly scalable NoSQL (not only SQL) database service compatible with the open-source Apache HBase application programming interface (API) that most developers are already comfortable with...

Cloud Computing: SAP CEO Bill McDermott - 'It's A Hana World'

Grazed from TalkinCloud. Author: CJ Arlotta.

SAP CEO Bill McDermott took center stage today at Sapphire Now 2015 to expand on the enterprise resource planning (ERP)'s company vision of making the world a better place and improving the lives of people by introducing data-driven and seamless solutions into the marketplace.

"Data-driven businesses must be seamless," McDermott told conference attendees. "When you think seamlessly, you can be a champion." With more than 20,000 customers in attendance, Sapphire Now, being held this week in Orlando, Florida at the Orange County Convention Center (OCCC), promoted the concept of digitally transforming businesses by keeping things simple for its customers, something McDermott harped on during his keynote address last year at SAP Sapphire Now...

Big Data is Driving HPC to the Cloud

Grazed from ScientificComputing. Author: Leo Reiter.

Once upon a time, high performance computing (HPC) was mainly about one thing: speed. It started with fast processors, memory, bus fabrics and optimized software algorithms to take advantage of them. We ran FORTRAN-based computational benchmarks powered by LINPACK, which still to this day factors in the TOP500 list of supercomputers.

We soon learned of limiting factors such as heat, power and the pesky speed of light. Seymour Cray realized that “anyone can build a fast CPU. The trick is to build a fast system.” We responded with massively parallel systems made up of lots and lots of very fast components. All was good in the world...