The most important test of a data architecture is not how it performs on day one. It is how it behaves when the business ...
The closer the enterprise gets to implementing Big Data analytics, the more daunting it appears. Even organizations that are well-versed in data warehousing realize that building infrastructure for ...
Teradata (NYSE: TDC), the big data analytics and marketing applications company, announced a new “design pattern” approach for data lake deployment which leverages years of experience in big data ...
Teradata has introduced a new 'design pattern' approach for data lake deployment. The company says its concept of a data lake pattern leverages IP from its client engagements, as well as services and ...
New data sources such as sensors, social media, and telematics along with new forms of analytics such as text and graph analysis have necessitated a new data lake design pattern to augment traditional ...
DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than ...
The data warehouse architecture and the data lake design pattern have converged to form a new, richer data architecture, a new report says, and both have already gone mainstream in the cloud.
Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...
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