According to Gartner Research, only 15% of big data projects ever make it to production. Most projects never make it out of the prototyping phase because big data has a high level of complexity..
Join industry expert Jen Underwood to hear how automation can reduce the complexity of data lake creation and get her specific thoughts on the Infoworks Autonomous Data Engine. Attend this webinar and see why she wrote:
" Within four hours of logging in, I successfully created Hadoop data ingestion pipelines, analytical transformations and designed an OLAP cube with delightful, visual point-and-click simplicity. " Jen Underwood
During this webinar you will :
Guru, Impact Analytix
VP Product, Infoworks
Ramesh worked closely to help the Fortune 500 CPG company in our use case deploy their big data pipelines. He has been in the data management and big data space for the past 20 years. He currently leads the product management team at Infoworks. Prior, he led Products and Solutions teams at YarcData. He also led the MDM Products go-to-market team at Informatica (a Gartner magic quadrant leader in MDM)