In the legacy analytics process, data
scientists face challenges in accessing and sharing the right data. GreenplumChorus helps foster a complete data science ecosystem with best-of-breed
analytics applications. As a social platform for collaborative data science,
Greenplum Chorus users can increase productivity, decrease administrative
burdens on IT infrastructures, and get better visibility and faster access to
data through a single tool.
EMC recently released the Greenplum Chorus source code under an Apache open source license through the OpenChorus Project. The OpenChorus Project will speed innovation and adoption of collaborative data science practices, helping organizations to drive greater business insight and economic value from Big Data.
Making OpenChorus accessible to Data Scientists
Greenplum and Kaggle joined forces to tackle the short supply and heavy demand for data scientists with an integration between the Kaggle data science community and EMC Greenplum Chorus, the platform for data science.
Greenplum and Kaggle joined forces to tackle the short supply and heavy demand for data scientists with an integration between the Kaggle data science community and EMC Greenplum Chorus, the platform for data science.
Chorus users wishing to engage the Kaggle community now can search, browse, and drill into profiles of the Kaggle community members who are interested in collaborating. Conversely, Kaggle’s community of over 55,000 data scientists now can choose to opt into consulting opportunities that will be sourced through the Greenplum Chorus platform. This integration transforms the way Greenplum Chorus users to get assistance with their Big Data problems. It also allows Kaggle’s elite data scientists to expand the market for their highly-sought-after skills.
