DataOps: Modernized Practices and Technologies Supporting Orchestrated Data Management
TDWI Speaker: David Loshin, President of Knowledge Integrity
Date: Wednesday, April 28, 2021
Time: 9:00 a.m. PT, 12:00 p.m. ET
Although the traditional data warehouse architecture has served organizations well over the past three decades, increasing cloud adoption (and migration of reporting analytics capabilities) exposes the limitations of the traditional approach. Organizations are developing hybrid multicloud/on-premises, services-oriented, “free-flowing” enterprise data architectures, but emerging cloud-based resources and services are often confusing and complex. This complexity makes developing applications to support business expectations difficult.
That is where DataOps comes in. DataOps is an approach and a methodology intended to simplify end-to-end data life cycles. It allows for rapid development, innovation, and implementation that embraces technologies, platforms, and those individuals and systems that use data. DataOps helps reduce development and deployment times while allowing the development team to focus on customer enablement, reduce redundant effort, and expedite addressing business opportunities.
In this webinar, we will explore emerging DataOps practices, patterns, and collaborative workflows. We will discuss how DataOps is expected to increase efficiency, reduce the cost of deployment, speed development, and ensure high-quality production processes while simplifying the orchestration of modernized data management.
Attendees will learn about:
- Differentiating DataOps from DevOps
- DataOps advantages
- Challenges that companies face with DataOps
- The types of technologies that compose a DataOps strategy
- Facilitating collaboration to speed up time to value