Automated Hadoop migration and cataloging solution delivers faster time-to-value for Databricks customers
Infoworks.io, the leader in data engineering software automation, announced that it has added Databricks Unity Catalog integration to Infoworks Replicator – its industry-leading solution to automate migration of Hadoop data and metadata to the cloud.
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Migration of Hadoop to the cloud using legacy methodologies has been plagued with technical challenges, budget overruns, and delays, as these methods require large teams of specialized labor and lack significant automation. Infoworks Replicator has been proven at scale to alleviate these issues, substantially lowering the cost, risk, and time-to-value of Hadoop migration. Infoworks Replicator has been proven in some of the largest enterprise cloud migrations in the world.
With the addition of Databricks Unity Catalog to Infoworks’ list of data catalog integrations, Infoworks has further streamlined the Hadoop migration path for Databricks customers. Replicator with Unity Catalog integration enables automated data and metadata migration and cataloging in Databricks Unity Catalog in a single step, which establishes and maintains a robust unified data governance framework at every stage of migration. The result is immediately usable, business-ready data and accelerated time-to-value.
“We have seen a surge in demand for Hadoop migration solutions as businesses respond to the urgency of leveraging their data to generate business value through AI and analytics,” said Amar Arsikere, Infoworks Founder and CTO. “Infoworks has enabled some of the largest companies in the world to accelerate migration and creation of new business value from their data, and we continue to rapidly innovate to meet the needs of our customers.”
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Infoworks Replicator is the most automated solution on the market for large-scale Hadoop migrations. Amongst the capabilities provided by Infoworks Replicator are:
- No-code automated data replicationAutomated validation to self-heal data migration pipelinesContinuous incremental replication to synchronize changing data and metadata on source and targetScalable performance leveraging existing Hadoop clustersAPI endpoints provide efficiency in migrating a large number of entities – 100s of thousands of tablesAutomated fault tolerance and recovery from the point of failureDynamic network throttling to optimize use of network resources
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