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?

This year, we've taken the peer-to-peer empowerment of data teams one step further and formally transformed DataOps Unleashed into Data Teams Summit to better reflect our focus on the teams and individuals running, managing, and monitoring data pipelines.

Data Teams Summit is an annual, full-day virtual conference, led by data rockstars at future-forward organizations about how they're establishing predictability, increasing reliability, and creating economic efficiencies with their data pipelines.

We'll be back again in 2024 and look forward to another round of data team focused conversations.

Who comes to Data Teams Summit?

Data professionals and experts including data engineers, administrators, architects, analysts, AI/ML professionals, and relevant 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

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