VentureBeat Webinar: How LinkedIn, Loggly, Current Analysis and Alpine Data Labs turn mountains of data into actionable insights

Join us for this live webinar on Thursday, December 11th at 10 am Pacific, 1 pm Eastern. Register here for free. 

Relational databases can grind any self-respecting server to a halt, especially if they belong to an SMB. These databases just aren’t a realistic option today when looking to fully leverage large quantities of data and analytics. The type of insights companies want today — in order to find the proverbial needle, or needles, in the haystack — depend on thousands of data points.

[aditude-amp id="flyingcarpet" targeting='{"env":"staging","page_type":"article","post_id":1621869,"post_type":"vbwebinar","post_chan":"none","tags":null,"ai":false,"category":"none","all_categories":"big-data,business,cloud,enterprise,entrepreneur,marketing,mobile,","session":"D"}']

It’s just one reason why LinkedIn relies on Apache Hadoop, an open source framework for processing large data sets. In other words, it’s free, making it accessible to all organizations regardless of their size — and that’s just one of the insights you’ll get in this upcoming webinar featuring some of the rock stars of data science, including June Andrews from LinkedIn.

June’s joined by three heavy-hitting colleagues from Loggly, Current Analysis, and Alpine Data Labs. Together, they’ll be discussing how businesses can take mountains of data and turn it into something meaningful. And by meaningful, we mean actionable strategies that improve things as diverse as operations, product design, customer happiness, marketing campaigns, and most of all, sales and growth.

Join us for what promises to be a powerful discussion with four of today’s rock stars of data science.

Panelists

Brad Shimmin, Principal Analyst, Current Analysis  Brad has been with Current Analysis for six years, bringing more than 20 years of industry experience to bear on his role as Service Director for Business Technology and Software. Together with the Principal and Senior Analysts supporting a number of research practices, Brad is responsible for monitoring and evaluating activities within three key industry areas, including enterprise data and analytics, collaboration and communication, and application platforms. Specifically, Brad provides detailed analysis of enterprise social networking technologies and data visualization and discovery solutions. Brad is recognized with many industry awards, including the Folio Magazine Award for editorial excellence, Computer Press Award for best online site, and several ASBPE awards for his work in the publishing industry. Brad graduated Magna Cum Laude with a B.A. in English from Utah State University, with minors in Archaeology, Philosophy, and German.

June Andrews, Senior Data Scientist, LinkedIn  June is an applied mathematician specializing in social network analysis. She has worked on the Search Algorithm at Yelp and designed algorithms for computing the structure of large networks with Professor John Hopcroft. Currently, June works towards understanding the impact of LinkedIn’s Professional Network both on the global scale and for the individual member. She holds degrees in Applied Mathematics, Computer Science and Electrical Engineering from UC Berkeley and Cornell.

Mauricio Roman, Data Scientist, Loggly Mauricio loves detective stories and believes Sherlock Holmes is the early pioneer of the analytics revolution, with his passion for data collection, inference and even language analysis. At Loggly, Mauricio applies and develops Machine Learning-based software based from phenomenal Stanford-based courses in the field and building off a management consulting background at McKinsey. Before joining Loggly, Mauricio worked in data intensive projects with an IBM business analytics partner. When not immersed in data and algorithms, Mauricio can be found hanging out at Hacker Dojo, playing basketball, or spending time with his family.

Bruno Aziza, CMO, Alpine Data Labs  Aziza has held management positions at Apple Inc., Business Objects (SAP), AppStream (Symantec), Decathlon and Microsoft. At Microsoft, he built the company’s Data and Analytics Business. Over the last 7 years, Aziza shipped over 10 products spanning across Analytics, Collaboration, Cloud & Social Media. He is the author of Drive Business Performance, a best-seller on “enabling a Culture of Intelligent Execution”. He is a Fellow at the Advanced Performance Institute. Aziza was educated in France, Germany, the U.K. and the U.S. holds a Masters degree in Business and Economics and speaks French, German and English.

Moderator

Wendy Schuchart, Editor and Analyst, VentureBeat  Wendy is a technology journalist with more than a decade experience in enterprise IT. Most recently, Schuchart was the senior site editor of TechTarget’s CIO Media Group. She has also served as section editor for UBM’s Network Computing and Secure Enterprise. She is a frequent contributor to InformationWeek, Network Computing, Green Data Center, Wikibon and other leading tech publications. She holds a Masters from the University of Wisconsin – Milwaukee.

[aditude-amp id="medium1" targeting='{"env":"staging","page_type":"article","post_id":1621869,"post_type":"vbwebinar","post_chan":"none","tags":null,"ai":false,"category":"none","all_categories":"big-data,business,cloud,enterprise,entrepreneur,marketing,mobile,","session":"D"}']

Register here for free.

This webinar is a co-production between VentureBeat and New Relic.