Big Data TechCon | April 26-28, 2015 | Boston, MA


Why Do So Many Big Data Projects Fail

In a Fireside Chat at Big Data TechCon San Francisco, Big Data Consultant Tony Shan explaines why failing with big data projects is not always a bad thing, as long as we learn from our mistakes.

Dec 18, 2014 2:18:35 PM

Topics: Big Data,

Public Data Sets: Resources

Resources are the life’s blood of a country. Tracing them from their production to their transportation and eventual use forms that backbone of countless industries. With better understanding comes more efficient management and conservation. These data sets feature natural resources in their various states and uses.

Dec 4, 2014 2:08:46 PM

Topics: Data Sets, Big Data analytics

HP reinvents IT operations with Big Data-powered software suite

HP today unveiled a full range of new IT Operations Management solutions built around big data analytics. These solutions are designed to help organizations automate and optimize their applications and infrastructure technology, resulting in exceptional customer experiences, faster time to market, and greater cost efficiencies.

Dec 2, 2014 11:38:52 AM

Topics: Big Data analytics

Public Data Sets: Biology

Nov 25, 2014 11:45:00 AM

Topics: Big Data,, Data Sets

Code Watch: Can we code conscious programs?

A few months ago, I pondered the growing gap between the way we solve problems in our day-to-day programming and the way problems are being solved by new techniques involving Big Data and statistical machine-learning techniques. The ImageNet Large Scale Visual Recognition Challenge has seen a leap in performance with the widespread adoption of convolutional neural nets, to the point where “It is clear that humans will soon only be able to outperform state-of-the-art image classification models by use of significant effort, expertise, and time,” according to Andrej Karpathy when discussing his own results of the test...Read More

Nov 19, 2014 8:39:20 PM

Topics: Big Data,

Industry Watch: Big Data: Now what?

Organizations today get that they have to collect data to stay competitive. They understand how to store it, retrieve it and slice it.
The idea now is to understand the data itself, to detect patterns and trends that will help the organization get new customers or members, service them more personally and engage with them more deeply.

“The idea of using data is ubiquitous,” Mike Olson, co-founder of Hadoop platform company Cloudera, said during a panel at the recent Strata + Hadoop World conference in New York City. “Now, we’re starting to see applications that leverage data. We’re starting to see what data enables beyond the technology. It’s less about the technology stack...Read More

Nov 11, 2014 2:08:09 PM

Fireside Chats: What are Real Time Analytics

Nov 4, 2014 1:22:36 PM

Topics: Apache Spark, Big Data TechCon, Big Data,

How to prioritize what you’re developing with Big Data

The spotlight turned to data analysis and real-world business use cases at Big Data TechCon, which winds down today in San Francisco. Talk was of day-to-day work and decision processes needed to support large-scale Big Data operations, with topics such as Hadoop, Spark, NoSQL and traditional relational databases, and how they can be leveraged for data-based products.

Nov 4, 2014 12:33:00 PM

Topics: Big Data TechCon, Data Science, Big Data,

Gloria Lau's Keynote: Big Data TechCon San Francisco 2014

Gloria Lau, VP of Data at Timeful, gave her keynote, "Building Data Products: The Right Order of Things" at Big Data TechCon San Francisco. Gloria emphasizes the people side of Big Data, and demonstrates why she believes building the right team is the most important aspect of data science.

Nov 4, 2014 9:35:00 AM

Topics: Big Data TechCon, Data Science, Big Data,

Interview with Big Data TechCon Keynote Speaker Gloria Lau, VP of Data at Timeful

After her Keynote at Big Data TechCon San Francisco 2014, Gloria Lau reemphasizes the importance of building a great team, focusing on the people, and treating data science as an art.

Nov 4, 2014 9:18:00 AM

Topics: Big Data TechCon, Data Science, Big Data,