Demonstrating the Future of Data Science

Editor's Notes

• #5: SCRIPT:“For many, the ability to move data between Hadoop and a SQL analytical database is the ultimate.Not at Greenplum. We’ve gone well beyond “connectors” to allow our SQL database to access data wherever it lives.”gNet permits not only bulk movement, but also direct query access as we’ll see later. Looking at what gNet does, it not only connects the engines, but extends the massively-parallel engines with massively-parallel communications between them, and builds the necessary software layers for rapid movement and direct query access across that high-performance integration.When deployed in Greenplum’s unique Modular DCA, performance of both bulk data movement and direct data access is further enhanced because DCAs include carefully-designed switching infrastructures that assure minimum switching latency as nodes in Greenplum Database communicate directly with nodes in Greenplum HD.NOTES:
• #24: Our expansive partner network ensures you protect your existing investments while having the opportunity to leverage the best available technology.Greenplum has deep partnerships with industry leading organizations such as the SAS institute, Informatica and alpine data labs. Finally, we are fortunate to work with a number of leading applications providers like Silverspring networks who leverage Greenplum as a powerful backend technology. Greenplum is proud to work with this extraordinary partner ecosystem.
• #28: What we are announcing
• #29: So, we’ve solved for the platform, but remember you also need the Data Scientists. (BUILD: Add Chorus) We are also announcing that we’ve joined forces with Kaggle to solve for the supply of Data Scientists, by integrating Kaggle’s data science community with Chorus, and creating a whole new data science marketplace. (BUILD: Add + Kaggle)Kaggle, as many of you know is: The leading platform for predictive modeling competitionsOver 57K participants, from over 100 countries and 200 universitiesOffers companies a cost-effective way to harness the “cognitive surplus” of the world’s best data scientistsI’d like to now invite Anthony, CEO of Kaggle to give his perspective on this exciting new integration
• #30: And this is what we mean by thinking big together, with Chorus, the collaboration platform for Data Science, now open-sourced, and our partnership with Kaggle to deliver a new data science marketplace. This is big. This is solving the biggest problems facing Big Data and Data Science. This will enable organizations to reach their inner predictive enterprise.How do you learn more about this?