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Intro to Pepperdata: Built-in Chargeback Reports
Quickly Find Rogue Users and Jobs on Hadoop Clusters
Pepperdata Job Control & SLA Enforcement in Action (Hadoop/YARN)
How to run a capacity report in the Pepperdata Dashboard
Pepperdata Dashboard – Intro Video
Making OpenTSBD Perform at Massive Scale Meetup
Creatively Visualizing Spark Data
Final Thoughts from Spark Webinar Series–Best Practices for Spark in Production
Question Fourteen–Do cluster mode failures (driver and executors) result in duplicate processing?
Question Twelve–Have you seen data stores for Spark other than HDFS in use?
Question Thirteen–Does cluster mode recommendation apply when running Spark on AWS EMR?
Question Eleven–What's most common? Yarn client mode? Yarn cluster mode? Stand-alone mode?
Question Ten–Are people running more than one version of Spark in the cluster
Question Nine–What are the most popular Spark ecosystems tools are being used?
Question Eight–What common mistakes do Spark users make?
Question Seven–How do I migrate my MapReduce production cluster to use Spark?
Question Six–What lessons have you learned from Spark (problems and gotchas to avoid)?
Question Five–In what use cases have you seen advantages to using MapReduce over Spark?
Question Four–What are people using for streaming and why?
Question Three–What types of Spark workloads have you seen companies running?