When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
DataOps (Data Operations) is a process-oriented methodology and a set of tools aimed at supporting the logistical needs of data analytics teams through the entire "cradle-to-grave" data lifecycle...
Read MoreDataOps (Data Operations) is a process-oriented methodology and a set of tools aimed at supporting the logistical needs of data analytics teams through the entire "cradle-to-grave" data lifecycle (from data acquisition to storing, to processing, to retiring obsolete data). The primary DataOps' objective is to shorten the "time-to-insight" cycle compared to the usual expectations of traditional data warehouse environments. While not rooted in any particular technology, where it is fitting, DataOps leverages the toolchains, methods, and ideas of Data Engineering, DevOps, Agile, and Lean Manufacturing.
Data and business analysts, information architects, and technical managers.
Participants are expected to have a general knowledge of programming and data processing.
Chapter 1. Intro to DataOps
Chapter 2. DataOps Production Pipeline
Chapter 3. DataOps Development Pipeline
Chapter 4. DataOps Environment Pipeline
Chapter 5. DataOps Implementation