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The Executive Guide to Data Warehouse Augmentation
Read this executive guide to change the way you think about modern data lake architecture. Save on storage and processing costs and get more value from your data warehouse.
Why Smart Companies are Complementing Their Data Warehouses with Data Lakes
How smart companies are complementing their data warehouses with data lakes to create a modern data architecture.
Zaloni Zip: Data Warehouse Architecture
In the latest Zaloni Zip, Raj Nadipalli discusses how to modernize your data warehouse (DW) architecture. He specifically addresses the traditional DW architecture, pain points of DW architecture...
Zaloni Zip: Building a Modern Data Lake Architecture Pt. 2
In the last video, we looked at the pain points of traditional data warehouse architecture and the high level architecture of the next generation Data Lake based on Hadoop. In this video, I will...
On-Premise or in the Cloud, It’s All the Same for a Hybrid Data Lake
When it comes to big data, more and more enterprises are beginning to embrace the cloud for its flexibility. Many of these companies are adopting a hybrid approach to their big data lakes, looking...
Migrating On-Premises Data Lakes to Cloud
Learn how you can migrate your on-premises data lake to the cloud for cost reduction and without loss of service.
Why Your Data Warehouse Needs a Data Lake
Modernizing Your Big Data Architecture: Key Considerations
Here’s a look into the future of the enterprise data ecosystem: the modern data architecture will have a managed data lake at its core. It will be fed by various structured data sources, real-time...
Data Warehouse Augmentation: Cut Costs, Increase Power
ESG Economic Value Validation Report Zaloni Bedrock
Waste Not: Offload DW Storage and ETL to Hadoop
Four reasons to migrate storage and large-scale or batch processing to Hadoop that lets both the EDW (enterprise data warehouse) and Hadoop do what they do best.
What Is a Data Lake?