Event: February 7-9, 2017

Spark Summit East 2017

Hear Alpine Data's VP of Engineering, Lawrence Spracklen, speak about Spark Autotuning.

LEARN MORE
In the News
Big Data Industry Predictions for 2017
Big Data Industry Predictions for 2017
December 21, 2016
What a year 2016 has been. The big data industry has significant inertia moving into 2017. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem...

Tracking the Opioid-Fueled HIV Outbreak with Big Data
Tracking the Opioid-Fueled HIV Outbreak with Big Data
December 15, 2016 | Datanami
As the opioid epidemic spreads across the country, it leaves a trail of death and destruction in its wake. In the Midwest, needle use related to the epidemic is closely linked to a surge in HIV infections. Now the Centers for Disease Control is using big data tools...

How data science and rocket science will get humans to Mars
How data science and rocket science will get humans to Mars
November 19, 2016
In a recent op-ed to CNN, President Obama re-affirmed America’s commitment to sending a manned mission to Mars. Think your data science challenges are too complicated? Imagine the difficulties involved in mining data to understand...

Sitting on a Winning Ticket for Digital Transformation – Insights from Strata Conference
Sitting on a Winning Ticket for Digital Transformation – Insights from Strata Conference
November 1, 2016 | Digital Enterprise Journal
Digital Enterprise Journal (DEJ) attended Strata + Hadoop conference in New York and had a chance to discuss trends in Big Data, analytics and data management with number of vendors and user organizations...

The Power to Predict
The Power to Predict
October 26, 2016 | CFO Magazine
More and more CFOs — and companies — are applying predictive analytics to boost planning and forecasting accuracy and solve an ever-increasing range of business problems...

Machine learning: Tackling the ‘big’ in Big Data
Machine learning: Tackling the ‘big’ in Big Data
October 25, 2016 | SD Times
Big Data is becoming too big to manage manually. The amount of data coming from sensors, streams and social media is astronomical—but that’s only part of the problem...