The growth in the amount of data – from social media, streamed video, and unstructured documents – is a boon for storage vendors. But this assault is just beginning – IDC predicts that by 2020 there will be 20 billion new internet of things (IoT) devices globally, each sending data to be gathered, stored and analyzed.
But why move data into a monolithic lake when you can process it where it’s created?
In an age where everyone makes data-driven decisions, what should you be doing now to prepare for the analytics and data science demands your users will make?
That’s what we’re talking about today with Syed Mahmood, Director of Product Management for Data Science at Hortonworks.
- Which data sources matter most – today and in the future
- How to survive the expected shortage of data scientists
- Why bringing analytics and models ‘to the edge’ enhances efficiency
- How to reconcile data scientists’ growing need for self-service with governance mandates
- What data governance and security impacts the data deluge will create
Bio: Vinay Shukla is the Director of Product Management for Data Science, Spark & Zeppelin at Hortonworks. Previously, Vinay has worked as Developer and Security Architect. Vinay has been a frequent speaker at many conferences including Hadoop Summit, Strata Hadoop, Apache Big Data, JavaOne, and Oracle World. Vinay enjoys being on a Yoga mat or on a hiking trail. You can follow his blog at http://www.vinayshukla.com/