One of the highlights of the DataOps Unleashed 2022 virtual conference was a roundtable panel discussion on building versus buying when it comes to your data stack. Build versus buy is a question for all layers of the enterprise infrastructure stack. But in the last five years — even in just the last year alone — it’s hard to think of a part of IT that has seen more dramatic change than that of the modern data stack.
In a recent webinar, Functional (& Funny) Strategies for Modern Data Architecture, we combined comedy and practical strategies for migrating from Hadoop to AWS. Unravel Co-Founder and CTO Shivnath Babu moderated a discussion with AWS Principal Architect, Global Specialty Practice, Dipankar Ghosal and WANdisco CTO Paul Scott-Murphy. Here are some of the key takeaways from the event.
ThoughtSpot elements such as search, Liveboards, and data connections are all defined in a JSON-based metadata definition called ThoughtSpot Modeling Language, or TML. Recently, I blogged about how you can use Postman to access platform APIs to import/export TML as part of your devops processes; for example, to check in TML definitions and push to another environment via a continuous integration process. The TML export is pretty straightforward.
Construction is a vast and complex industry. As such, the simpler and more streamlined your processes are, the better. Complicated, manual tasks hamper construction professionals’ ability to conduct business by slowing down efficiency and productivity. Despite the obvious benefits of modern automated workflows, a survey conducted by McKinsey Global Institute found construction is the second slowest adopter of digitization.
