We are excited to announce that we’ve just opened our Call for Speakers for StampedeCon 2015, which will be held on July 15-16 in St. Louis at the Sheraton Westport Chalet.
We would like to hear what you are working on and how you’ve achieved results with Big Data. This can include discussion of your analytics processes, business-specific use cases, etc. or even specific tools, processes or libraries you use, such as Hadoop, Spark, NoSQL databases, machine learning libraries, Big Data-specific development frameworks/languages, etc.
The deadline to submit a speaking proposal is March 20, 2015. For more details, please visit our Call for Speakers page. We look forward to seeing your proposal!
SlideShare, which is owned by LinkedIn and has more than 10 million presentations uploaded and 50 million+ visitors per month, has sent out their annual announcement of the top viewed presentations on their site. StampedeCon speaker presentations continue to be top performers and have placed in the top 5% viewed on SlideShare for 2014.
Speaking at StampedeCon events is a great way to communicate your Big Data insights with others attending. And attending is a great way to connect with others to discuss this great content.
You can view all StampedeCon speaker slides on SlideShare.net/StampedeCon. Thank you to all of our great speakers for sharing their insights. And thank you to those who are viewing these slides in order to learn how to bring Big Data into your organizations.
We are excited to announce that StampedeCon 2015 will be held on July 15-16 in St. Louis at the Sheraton Westport Chalet. Not only is this location easy to access for local travelers, it is also easy to get to from the airport for those flying in. The Sheraton Westport Chalet hotel offers complimentary shuttle service to and from the airport and excellent guest rooms.
We’ve finalized the dates for StampedeCon 2015! We’ll be holding the conference on July 15-16 in St. Louis and we’re also working on training workshops for July 14. We’re working on putting together the agenda now.
Special early registration will be available soon. For sponsorship or other questions, please contact us. To receive conference updates, sign up for our announcement newsletter.
StampedeCon 2014 was May 29-30, 2014. Executives, architects, engineers and others described practical business and technical aspects of Big Data projects. From analytics to strategies, experts illustrated how to harness the power of Big Data.
This year’s multiple track format helped companies in all different stages of their Big Data adoption and provided attendees the opportunity to learn about everything from starting a Big Data pilot program to transitioning into production to advanced use cases.
New mobile, social, sensor and click-stream data from consumers, the Internet of Things and even the “Enterprise of Things” is creating opportunities but also challenges for organizations who have decided to try to harness this data’s potential. One such challenge is large-scale offline data ingestion.
StampedeCon 2014 is a national Big Data conference series hosted in St. Louis, MO, that is being held May 29-30, 2014. Executives, architects, engineers and others will describe practical business and technical aspects of Big Data projects. From analytics to strategies, experts will illustrate how to harness the power of Big Data. See our 2014 agenda for full details of the different tracks. This year’s multiple track format will help companies in all different stages of their Big Data adoption and provide attendees the opportunity to learn about everything from starting a Big Data pilot program to transitioning into production to advanced use cases. We’re bringing you another year of insightful and timely Big Data content from expert speakers and experienced practitioners. In addition, on May 27-28, you can find pre-conference training workshops on Hive, Cassandra, Hadoop and NoSQL database architecture.
Apache Hive is a good tool for performing ETL and basic analytics but is limited in statistical analysis and data exploration capabilities. R, on the other hand, has become a preferred language for analytics, as it offers a wide variety of statistical and graphical packages. The downside is that R is single threaded and memory intensive thus making it difficult to work with data at scale.
At StampedeCon 2014 on May 29-30 in St. Louis, RichRelevance’s Senior Software Engineer Sukhendu Chakraborty will discuss the R to Hive connector package they’ve developed to meet their need of using R on terabytes of data feasibly while maintaining R code that is independent of the data source.