DataOps for the new data stack

This talk demystifies the new data stack that thousands of companies are deploying to convert data into insights continuously and with high agility. This stack continues to evolve with the emergence of new data roles like analytics engineers and ML engineers as well as new data technologies like lake houses and data validation. A new wave of operational challenges has emerged with this stack that, unless addressed from day one, will derail its success. Shivnath will discuss these DataOps challenges and the best practices to address them. The talk will be accompanied by a brief demonstration.

shivnath-unravel.png

Shivnath Babu, Co-Founder & CTO @ Unravel

Shivnath Babu is the CTO at Unravel Data Systems and an adjunct professor of computer science at Duke University. His research focuses on ease of use and manageability of data-intensive systems, automated problem diagnosis, and cluster sizing for applications running on cloud platforms. Unravel originated from the Starfish platform built at Duke, which has been downloaded by over 100 companies. Shivnath has won a US National Science Foundation CAREER Award, three IBM Faculty Awards, and an HP Labs Innovation Research Award.

What is the cost to attend and watch the virtual sessions?

DataOps Unleashed is always free and open for all to attend.

Unleashed will be held live, virtually on February 2nd, 2022.

What is DataOps Unleashed?

DataOps Unleashed is the official DataOps peer-to-peer community.

We'll be back on February 2nd, 2022 with DataOps, CloudOps, AIOps, MLOps, and other professionals, to gather virtually to share the latest trends and best practices for running, managing, and monitoring data pipelines and data-intensive analytics workloads.

Sessions will include talks by DataOps professionals at leading organizations, detailing how they’re establishing data predictability, increasing reliability, and reducing costs.

New to DataOps?

DataOps is a holistic approach to the creation, deployment, monitoring, management, and optimization of data-driven applications. It describes the culture and rules of engagement that allow data teams to deliver and maintain high-quality, on-time data products, often powered by AI and machine learning, in an agile and cost-effective way.

DataOps defines how data teams work and also affects data consumers and those whose work causes new data to be created and used within the organization. Their work enables the entire organization to access data efficiently for data-driven decision-making and for the creation and delivery of data-driven applications.

Organizations with well-developed DataOps strategies, governance, and processes can expedite the delivery of data-driven workflows and results faster and better than others.

Who comes to DataOps Unleashed?

DataOps professionals and experts including data administrators, data architects, data engineers, data analysts, AI/ML professionals, and data technology leadership.

Join us for sessions on:

  • Data pipelines
  • Data orchestration
  • Data team composition
  • Data architecture
  • Data quality
  • Data governance
  • Data observability
  • Data operations
  • Data optimization
  • Data cost governance
  • Data migrations
  • Data modernization
  • MLOps/AIOps

Sign up for a free ticket below to see all of the sessions virtually at DataOps Unleashed 2022 on February 2nd!

Registrants will also receive access to view the sessions on-demand after the event.