Search results Search for: Search Refine your results by duration: Any Under 5 mins Under 20 mins Over 20 mins Sort by: Relevance Views Date Going Beyond Observability for Spark Applications & Databricks Environments Chris Santiago, Global Solution Engineering Director, Unravel Join Chris Santiago, Solutions Engineer Director at Unravel Data, as he takes you through Unravel’s approach to getting better and finer grain visibil... 2 years ago | 60 mins Fix Spark Performance Issues Without Thinking Too Hard Heidi Carson and Alex Pierce This discussion explores the results of analyzing thousands of Spark jobs on many multi-tenant production clusters. We will discuss common issues we h... 2 years ago | 27 mins Spark Performance Tuning on Kubernetes Best Practices (Part 2) Alex Pierce Running Spark on Kubernetes in a stable, performant, cost-efficient, and secure manner presents complex challenges. Spark performance tuning on Kubern... 2 years ago | 22 mins Spark Performance Tuning on Kubernetes Best Practices (Part 2) Alex Pierce Running Spark on Kubernetes in a stable, performant, cost-efficient, and secure manner presents complex challenges. Spark performance tuning on Kubern... 1 year ago | 22 mins Enhancing Spark with H2O's Random Grid Search and AutoML using Sparkling Water Jakub Háva, Team Lead and Senior Software Engineer, H2O.ai Learn more about how you can integrate large scale data preprocessing with Machine Learning using Sparkling Water. Sparkling Water enables training H2... 3 years ago | 51 mins Spark Application Performance Management with Pepperdata Application Spotlight Vinod Nair Pepperdata Application Spotlight analyzes all Hadoop and Spark jobs running on the cluster and provides developers with technical insights on how each... 5 years ago | 43 mins Putting AI to Work on Apache Spark Shivnath Babu, CTO & Co-Founder at Unravel Data Apache Spark simplifies AI, but why not use AI to simplify Spark performance and operations management? An AI-driven approach can drastically reduce t... 4 years ago | 40 mins Stop Manually Tuning and Start Getting ROI From Your Big Data Infrastructure Pepperdata Field Engineer, Eric Lotter Would your big data organization benefit from automatic capacity optimization that eliminates manual tuning and enables you to run 30-50% more jobs on... 3 years ago | 26 mins How to Overcome the Five Most Common Spark Challenges Alex Pierce, Pepperdata Field Engineer Review Guidelines on How to Conquer the Most Common Spark Problems You are Likely to Encounter Apache Spark is a full-fledged, data engineering ... 3 years ago | 33 mins Production Spark Series Part 3: Tuning Apache Spark Jobs Simon King, Engineer, Pepperdata A Spark Application that worked well in a development environment or with sample data may not behave as expected when run against a much larger datase... 6 years ago | 40 mins Load more
