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Available On-Demand - This webinar has been recorded and is now available for download.

Evolving the DataOps Pipeline to Address Fresh Challenges

Webinar Speaker: James Kobielus, Senior Research Director, Data Management

Date: Tuesday, May 31, 2022

Time: 9:00 a.m. PT, 12:00 p.m. ET

Success in the modern economy depends on an enterprise’s ability to deliver high-quality data analytics into production applications.

Structured data engineering processes ensure that analytics are always accurate, relevant, and fit for purpose. Modern data engineering processes—also known as DataOps pipelines—continuously integrate, transform, and prepare data for production deployment. In order to keep pace with fast-changing enterprise requirements, enterprises need to prioritize such DataOps modernization initiatives as:

  • Migrating data engineering pipelines to complex cloud infrastructures
  • Optimizing data engineering processes for streaming, low-latency, and real-time data applications
  • Scaling data engineering pipelines elastically to support change data capture; data ingestion; extract, transform, and load (ETL); and other mission-critical workloads
  • Implementing centralized visibility and management over the end-to-end data engineering pipeline
  • Ensuring that data engineering pipelines provide a strong foundation for high-performance machine learning operationalization workflows
  • Upgrading DataOps staff skills, tools, and team arrangements to support the increasingly unified DataOps/MLOps pipelines

Join TDWI’s senior research director James Kobielus on this webinar to explore best practices for addressing these challenges successfully within a cloud-focused modernization program. Key practices that he will examine include:

  • Defining a strong business justification for DataOps modernization
  • Aligning DataOps modernization with strategic cloud data platform implementation
  • Identifying priority use cases for a modernized DataOps pipeline
  • Assessing the optimal implementation approach for modernizing DataOps
  • Restructuring the DataOps pipeline in the process of modernizing it
  • Making the necessary investments in enabling infrastructure, tools, and skills for DataOps modernization

Guest Speakers

Sameer Bhide
Director of Technology

He is responsible for overall product architecture, road map, and product engineering for SaaS and on-premises product lines. He has played a key role in creating several mission-critical, carrier-grade, high-9 application architectures for large-scale, near-real-time data processing needs. He focuses on technology incubation, cloud computing, multicloud architectures, and real-time analytics and bringing these capabilities to the Gathr product lines.

James Kobielus

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