How 84.51° Slashed Operational Costs & Improved DataOps Efficiency by Solving Problems with Small Files

Hear from 84.51° as they give a 30,000 ft view into their management of Yarn and Impala. They will share how they solved challenges associated with small files and used a centralized DataOps approach to troubleshoot issues with their big data pipelines. 84.51° will also take from their executive dashboards and share key learnings in helping your business improve efficiency and reduce operational costs.


Jeff Lambert, Vice President of Data Solutions @ Kroger/84.51˚

I'm focused on finding the right solutions to make customer lives better.

People management and leadership style that emphasizes a collaborative approach complemented by decisive decision making.

Educational foundation in Information Technology, Accounting, Project Mgmt, and Supply Chain Optimization to complement 15+ years of real-life work experience

Specialties: Kroger, Kroger Customers


Suresh Devarakonda, Lead Database Engineer @ Kroger/84.51˚

Held positions ranging from Software Engineer to Managing a highly-skilled group of DBAs stationed In India and China over the span of my career.

Currently, at 84.51, I manage various Database Technologies such as Relational - Oracle/MonetDB/SAND, and NoSQL - MongoDB/Couchbase databases along with administering Exadata Machines. I started my journey with Big Data and Cloud Technologies a year ago.

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

Data Team Summit is always free and open for all to attend.

What is Data Teams Summit?

Data Team Summit is the official DataOps peer-to-peer community.

It's a time each year for everyone, from DataOps, CloudOps, AIOps, MLOps, to other technology 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 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 Data Teams Summit?

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 teams & best practices
  • Data pipelines & applications
  • DataOps observability
  • Data quality & data governance
  • Operations observability
  • MLOps
  • Data modernization & architecture
  • Biz/FinOps observability

Want to submit a session for Data Teams Summit 2023?

Send us a note to or submit a talk proposal here:

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