With Machine Learning, AI, BI, Real-time stream processing — we see big HUGE Data applications all around us – and these will continue to grow, along with the commoditization of data and business insights.
How do DevOps and Big-Data interact?
Are there unique challenges for practicing DevOps for Big Data applications?
What are some best practices and proven patterns for rapidly combining, deploying and maintaining data analysis algorithms and backend?
John-Daniel Trask CEO & Co-founder of Raygun.com, a leading Software Intelligence platform. Passionate about business, technology and investing. @raygunioraygun.com/blog/
Pete Grant Pete is an architect specialising in automated testing, push button deployments and team organisation for business intelligence. @petejgrantcloudbilimited.com/blog/
On the next episode of #c9d9:
Episode 72: DevOps for Databases
Join us on July 11 when we discuss challenges and best practices for building, testing, and deploying database changes, to increase the speed and quality of releasing DB changes as part of your CD pipeline.
Anders Wallgren is Chief Technical Officer of Electric Cloud. Anders brings with him over 25 years of in-depth experience designing and building commercial software. Previously, Anders held executive and management positions at Aceva, Archistra, Impresse, Macromedia (MACR), Common Ground Software and Verity (VRTY). Anders holds a B.SC from MIT.