Category: Uncategorized

I/O Bottlenecks in Hyperspace

I/O Bottlenecks in Hyperspace

| April 6, 2012

I/O Bottlenecks in Hyperspace by Dan Gatti, Big Data I/O Forum Johns Hopkins Data-Scope project reminds me of Hans Solo and Wookie blasting into Hyperspace. You can imagine looking at 6 petabyes of Big Data blasting at 500 gigabytes per second will need to overcome I/O bottlenecks.   From Datanami article by Nicole Hemsoth On […]

Read More

Tectonic Shift in Tech

Tectonic Shift in Tech

| April 4, 2012

  That the technology business is on the brink of another tectonic shift with innovations in big data, cloud computing and mobility was just one observation Kleiner Perkins Caufield & Byers Managing Partner Ray Lane offered Tuesday. Another was that his new role as executive chairman at Hewlett-Packard stirred up concern at Kleiner Perkins with […]

Read More

White House now a Big Data Gold Mine

White House now a Big Data Gold Mine

| March 30, 2012

White House now a Bi Data Gold Mine by Dan Gatti, Big Data I/O Forum If you are mining Big Data, I would go to the Gold Mine in Washington. Don’t bring a pick and shovel, bring a researcher from one of the Universities and a good marketing person and go digging.  Big Data Across […]

Read More

Big Data is a Big Deal

Big Data is a Big Deal

| March 30, 2012

Big Data is a Big Deal by Dan Gatti, Big Data I/O Forum The White House Office of Science and Technology announced the “Big Data Research and Development Initiative.”   To launch the initiative, six Federal departments and agencies will announce more than $200 million in new commitments that, together, promise to greatly improve the tools […]

Read More

Enterprise Data Mining

Enterprise Data Mining

| March 26, 2012

Enterprise Data Mining: A far easier, lower cost approach. Unlike other data mining approaches, ai-browser learns the meaning of documents by generating a lightweight ontology – a dynamic file that describes every relationship between every data element. It detects keywords and their association words which provide context. The combination of a keyword and all the […]

Read More

Marketers Buzzing over Big Data

Marketers Buzzing over Big Data

| March 22, 2012

Lack of digital insight and internal data-sharing challenge companies March 20, 2012 Marketers are abuzz over “Big Data” for its promise to deliver a more complete understanding of each customer, who can then be targeted with advertising tailored exactly to the individual. But according to February 2012 research from Columbia Business School’s Center on Global […]

Read More

NIG Japan Big Data Genomics

NIG Japan Big Data Genomics

| March 7, 2012

NIG Japan Big Data Genomics by Dan Gatti, Big Data I/O Forum  As a leading international genetics research laboratory and inter-university research institution in Japan, the National Institute of Genetics builds an international DNA database, develops and provides various search and analysis services, and provides supercomputing resources to researchers throughout Japan and the world. The […]

Read More

P&G Investing in Big Data Analytics

P&G Investing in Big Data Analytics

| March 6, 2012

P&G Investing in Big Data Analytics, Dan Gatti Big Data I/O Forum Procter & Gamble CIO Filippo Passerini says he plans to increase fourfold the number of company staff with expertise in business analytics. Passerini is building that expertise at a time when P&G is cutting costs in other areas, including eliminating 1,600 nonmanufacturing jobs. […]

Read More

NoSQL Data Modeling Techniques

NoSQL Data Modeling Techniques

| March 2, 2012

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. This aspect of NoSQL is well-studied both in practice and theory because specific non-functional properties are often the main justification for NoSQL usage and fundamental results on distributed systems like CAP theorem are well applicable to the NoSQL systems.  At the same […]

Read More

Addressing the Challenges of Big Applications

Addressing the Challenges of Big Applications

| March 2, 2012

  By Alex Heneveld The challenge of handling big data has spawned a wealth of new data stores and file systems, addressing the challenges of scale and distribution, wide-area and availability, consistency and latency trade-offs. If the data isn’t accessed too frequently, and if the infrastructure doesn’t have to grow, these technologies can mean “job done”.  […]

Read More