Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

If your AI isn’t delivering, blame your data. Smarter architecture — not more algorithms — unlocks real enterprise ...

A new book “Data Lake Architecture – Designing the Data Lake and Avoiding the Garbage Dump” by the father of the data warehouse Bill Inmon is a simple, high-level introduction to this popular data ...

A data lake is a central location in which businesses can store their data in a variety of structures and at different scales ...

Copies of large datasets tend to proliferate in many organizations because they reside in a data lake that lacks the ability to perform the work necessary to turn that information into business ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Enterprises often rely on data warehouses ...

In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...

Since its debut, Tableflow has transformed how organizations make streaming data analytics-ready. It eliminates brittle ETL jobs and manual Lakehouse integrations that slow teams down. With Delta Lake ...

The terms ‘Big Data’ and ‘Hadoop’ have come to be almost synonymous in today’s world of business intelligence and analytics. The promise of easy access to large volumes of heterogeneous data, at low ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

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