Gigaom Research webinar: Between “mayhem” and “managed”: the self-service sweet spot for analysis in a data lake

binary code in water

In the middle of the data spectrum that goes from “mayhem to managed,” there’s a sweet spot that allows for experimental, ad hoc analysis, producing data artifacts that evolve into reusable assets across the entire enterprise.

Self-service data transformation can streamline the creation of data products by taking certain ad hoc analyses and elevating them to broadly used production queries and visualizations.  Other ad hoc analyses can produce re-useable data byproducts, like reference data or refined log data, helping business users do subsequent analysis work without starting from scratch.

In this webinar, our panel will address these questions:

  • How can raw data be put into a usable (and reusable) format?
  • How can engineers, data scientists, and business users work through the big data lifecycle together?
  • How can business users instill rigor in their analysis work without stifling discovery, insight and agility?
  • How big is the self-service data transformation ecosystem and where is it going?

Speakers include:

  • Andrew Brust, Research Director, Gigaom Research
  • Jen Stirrup, Owner, Copper Blue Consulting
  • Lynn Langit, Founder & Consultant, Lynn Langit
  • Joe Hellerstein, Chief Strategy Officer, Trifacta

Register here to join Gigaom Research and our sponsor Trifacta for “Between ‘mayhem’ and ‘managed’: The Self-Service Sweet Spot for Analysis in a Data Lake” a free analyst roundtable webinar on Wednesday, September 24, 2014 at 10:00 a.m. PT.

 

Comments have been disabled for this post