Impala Performance Best Practices—Get Visibility into Hive and Impala Queries

Get insights into Impala performance best practices to get visibility into all of your Hive and Impala queries in one place with continuous, automated application and infrastructure tuning. Enterprises across all industries are heavily invested in big data infrastructure (Hadoop, Impala, Spark, Kafka, etc.) as they attempt to convert data into insights into business value. Data proliferates quickly and managing cluster performance to meet business requirements and performance SLAs can quickly become complex. For example, if a single query fails to complete because of query-level inefficiencies, data skew, missing or old statistics, or resource configurations—that single resource-consuming query can negatively impact the entire application stack on that cluster. Join Pepperdata Field Engineer, Alex Pierce for this webinar on Impala performance recommendations and learn how to: —Get visibility into all of your Hive and Impala queries in one place with continuous, automated application and infrastructure tuning. —Immediately improve and scale application performance through automated tuning. —Improve query performance through job-specific recommendations, query run comparisons and IT chargeback reports.