ELT-G: Locating governance in the modern data stack

ELT is a data ingestion pattern that promotes an "extract first, model later" approach to building data workflows. While it saved time for data teams and enabled more agile development, the buzz about ELT has not given proper credit to its silent G: governance. Unlike transformations, proper governance, and in particular, securing access to data, cannot be deferred until later, and requires clear, consistent principles to be implemented by data teams.

During his talk, Stephen will provide a framework for thinking about data governance in an ELT landscape, introduce policy-based access controls, and provide some suggestions for data teams to get started with better governance today.

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Stephen Bailey, Director of Applied Data Science @ Immuta

Stephen Bailey is Director of Applied Data Science at Immuta, where he strives to implement privacy best practices while delivering business value from data. He loves to teach and learn, on just about any subject. He holds a PhD in educational cognitive neuroscience from Vanderbilt and enjoys reading philosophy.

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.