big-data

The many tools that have sprung out of that community demonstrate the viability of big data analysis as a global business activity.

A constraint unique to this ecosystem is the fact that Big Data likes to be at rest.

HPCC Systems is an open source high performance computing cluster platform used to solve customers' Big Data problems.

Forrester defines big data as techniques and technologies that make it economical to deal with data at an extreme scale.

Establish a core set of data governance directives that account for the special requirements of big data sets.

We are getting ready for some big data releases and an ECB meeting in the next couple of days.

Erich Clementi of IBM noted that healthcare, government, financial services, and retail organizations are interested in big data analytics.

Their business model is to provide support and training to customers interested in running analytics on big data.

Ensuring the integrity of the information is an important part of the big-data age.

Making big data more easily accessible to relevant stakeholders in a timely way can create tremendous value.

To break down these heavy new tools, we spoke with former Apple engineer and big-data geek Pete Warden.

The capture, storage and analysis of big data depends on the nature of the particular application, Hill stated.

In big data centers, even the fastest servers get slowed by bottlenecks in the connections between microprocessors, or nodes.

Making improvements on the back of a big data set is not a Google monopoly, nor is the technique new.

So SOA provides the way of understanding what the business value is and therefore where elements like cloud and Big Data can deliver value.

So if your big data infrastructure must cope with time series, Informix is more than up to the job.

We are absolutely working on things that are longer term there, whether that's big data, analytics, the commercialization of Watson.

Cannot have in us when question, we may access the net the consult material, some quite big data may use the computer to calculate . . .

Big data either provides the raw material needed to develop algorithms or for these algorithms to operate. . .

While NoSQL datastores are particularly suited to storing big data (think Google's Bigtable), NoSQL is a patently non-relational approach.

The panel was titled "Intelligence, Intuition, and Information: The Promise and Peril of Big Data. "

This Big Data era got rolling way back in the dot-com days.

Scientists and computer engineers have coined a new term for the phenomenon: "big data" .

Big data allow organizations to create ever-narrower segmentations and to tailor services precisely to meet customer needs.

According to a 2011 TDWI survey, 34% of the companies use big data analytics to help them making decisions.

This article has shown you a simple example of crunching big data with Hadoop.

Even as big data gets bigger, IBM InfoSphere tools help data professionals cut it down to size.

Companies that can harness big data will trample data-incompetents. Data equity, to coin a phrase, will become as important as brand equity.

McKinsey argues that the effective use of such "big data" is the key to productivity and margin gains.

The combination of cloud computing and MapReduce seems tailored for big data jobs.

And will tomorrow's theories be guided by big data rather than revolutionary ideas?

Typical Big Data analytics use cases usually involve querying a variety of datasets together.

Left large tracts of unused computing capacity that took up space in big data centers.

Big data is, in large part, about decision making.

"There is one school of thought that the world is heading toward three really big data centers owned by those three companies, " says Raney.

In a world of big data the correlations surface almost by themselves.

Big data is making it easier to develop recommendation engines and other advanced systems.

Today's big data will provide the raw material for further revolutions.

They will, after all, be out of a job if companies no longer maintain their own big data centres.

Big-data-based analytics today include rule-based systems, statistical analysis and machine-learning techniques such as neural networks.

Many businesses turn to open source tools, such as Apache's Hadoop, when working with big data.

They also vary in their sophistication and maturity of big data usage and, as a result, offer different business lessons.

And how will big data change what you do?

In the first part of this series, you saw how to crunch big data using Apache Hadoop.

If your service deals with big data, that's how they're related.

Companies that can harness big data will trample data-incompetents.

Some are calling it big data.

Where there is big data, there are opportunities for pattern analysis, rational decisions and recommendations based on that data.

Which tools do you recommend for big data visualization?

Big data is exploding as more and more information is collected and stored daily.

You realize that Big Data gives clouds something to do.

But big data can have far more serious consequences than that.

What is the relationship to SOA? Related to this is Big Data, how is it related to SOA?

That is what we mean when we talk about big data.

This is a classic big data problem because Yelp generates 100GB of log data every day.

Big Data Needs To Think Bigger,

Research on Encoding Transmission of Big Data File

Big Data: A Revolution That Will Transform How We Live, Work, and Think

IBM opens analytics, big data "bootcamps" worldwide and online

New technology for analyzing big data at rest

Cassette tapes are the future of big data storage

Big data and the big privacy problem

New rules for big data