Learn about four data architectures patterns for agility – DataOps, Data Fabric, Data Mesh & Functional Data Engineering – & an example combining all four.
In this five-module course, Mike Lampa & Chris Bergh teach data professionals to plan their organization’s DataOps program for low errors & fast deployment.
Cognizant’s JP Thakur & DataKitchen’s Chris Bergh discuss how DataOps sets the foundation for Data Modernization initiatives enabling continuous data & insight.
Learn about DataOps from data leaders Jim Tyo, Invesco CDO; Kurt Zimmer, AstraZeneca Head of Engineering for Data Enablement & Ryan Chapin, former GE exec.
Learn how four pharma companies are quickly identifying new opportunities, improving research efficiency & accelerating new product adoption with DataOps.
DataOps can solve the operational challenges of a Data Mesh. Chris Bergh covers what is a Data Mesh and how DataOps complements this exciting architecture pattern.
Learn the secret to analytics agility and how DataOps supports your Data Fabric initiative.
Jonathan Hodges of Workiva and Chuck Smith of GlaxoSmithKline join DataKitchen’s Chris Bergh to discuss their DataOps journey and key lessons learned along the way.
Data observability is an essential component of DataOps. Learn how a DataOps Platform enables data observability, thereby eliminating errors, increasing reliability, and reducing data downtime.
CapGemini’s Deepak Juneja, VP of Global Data Management & Data Fabric Practice Leader, joins us to discuss how DataOps can turbocharge your agility when implemented in the cloud.