Cloud-Centric Data Lake

Your company has spent thousands of man hours over the last two decades building a Best-in-Class EDW. You employ a large number of resources to maintain and manage your Data Warehouse systems:

Problems with EDW?

The requirements can be addressed by an EDW, but the solution comes with a high price tag:

  • Locked-in to multi-year contracts.
  • Spend more time preparing data and less time Analyzing
  • Data Storage Limitations
  • Ability to ingest only structured data.
  • Cost of Storing Data in the EDW is massive. In some cases over 20x.(even with compression)
  • Primarily batch-oriented, not real-time, and streaming is very expensive.
  • Business has access to stale data, and that's a fact.
  • It takes a long time to deploy and maintain. And changes are expensive.
Traditional EDW implementation:

The EDW Architecture has it's limitations:

Q & A: Survival Tips

Yes!. there is an EASY button. We will help you understand your DW Eco-system and migrate your database to Fabric on AZURE. Once in the cloud, We will repoint your on-premise ETL and BI users to FABRIC. After we have stabilized your system in the cloud, we will decommission your on-premise system. Certain workloads will fail to migrate, and that is a good thing. It's time for some basic housekeeping and let the failed processes fail. Once in the cloud, you now have the ability to manage your consumption. You can build the roadmap to further offload data and workloads to other less expensive platforms, and develop a schedule to scale down the system on weekends and holidays. This alone can save you over a million $ per year.

No. We decouple Storage with Compute and leverage Apache Iceberg, Delat Lake, S3 and Azure Blob Storage for data placement. Storage and Compute costs are both reduced from traditional implementations.