How Data Observability Can Optimize Your Cloud Op-Ex Costs

Many enterprises still rely on Hadoop clusters and other on-premises databases for mission-critical analytics, but with the imminent end of Cloudera support for Hortonworks Data Platform (HDP) and Cloudera Data Hub (CDH), organizations are looking for alternatives. The Acceldata platform and its team can provide a safer, more efficient, and less expensive way to continue running CDH, HDP, or the open-source version of Hadoop for years to come while preparing infrastructure for an eventual migration to a modern cloud-native database. Acceldata's six-step migration process includes Proof of Concept, Preparation, Data Migration, Consumption, Monitoring, and Optimization. The platform provides recommendations for Snowflake best practices, cost intelligence dashboards, data inventory, performance baselines, deep insights into the performance of Snowpipe and COPY commands, data reconciliation, automatic discovery and profiling of data assets, continuous data observability, and powerful Cost Optimization tools for Snowflake to aid in data value engineering initiatives.