Anblicks helps you migrate Hadoop HDFS/Hive/Impala/Kudu databases to Azure Databricks with no data loss and bring together all your data and ML workloads for faster decision making .
Running your analytics on-premises is inconvenient and expensive. Even though Hadoop is one of the most powerful big data technologies, it is not designed for small files, cannot handle live data reliably, has poor processing speed, is inefficient for iterative processing, is inefficient for caching, and has other issues.
Regardless of your on-premises supplier, our migration solution has you covered. We assist you in migrating your big data workloads to Azure Databricks, an Apache SparkTM-based platform that is quick, simple, and collaborative. It unifies all of your data and machine learning workloads, enabling AI innovation, lowering costs, and improving decision-making.
Data Reliability Issues -Delayed jobs, corrupt data -Inconsistent schemas -No roll-backs
Rigid Inflexible Clusters -Unresponsive to business needs -Hardware procurement cycles -Rigid cluster configurations
Low Productivity -Complex and expensive to maintain (admins, prominent data engineers, etc.) -Upgrades, maintenance delays -Siloed AI/Data Environments