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Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala

In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
dbta

Data Warehousing in the Era of Big Data

For decades, the enterprise data warehouse (EDW) has been the aspirational analytic system for just about every organization. It has taken many forms throughout the ...
TechRepublic

Data Warehousing Concept Using ETL Process for SCD Type-2

SCD type 2 will store the entire history in the dimension table. In SCD type 2 effective date, the dimension table will have start-date and end-date as the fields. If the end-date is null, then it ...
dbta

Data Warehouses, Data Marts, Operational Data Stores, and Data Lakes: What’s in a Name?

Many organizations nowadays are struggling with finding the appropriate data stores for their data. Let’s zoom in on some key data structures to facilitate corporate decision making by means of ...
InfoWorld

Buyer’s guide: How to choose a cloud data warehouse

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...
InfoWorld

What is a data warehouse? The source of business intelligence

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...
Forbes

What To Consider Before Moving From A Data Warehouse To A Data Lake Model

Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been ...