Also read: Top Big Data Storage Products Differences between data lake and data warehouse When storing big data, data lakes and data warehouses have different features. Data warehouses store ...

The data lakehouse combines the functionality of a data warehouse with that of a data lake. Source: Databricks. Deeper Dive: Data Lakehouse vs. Data Warehouse and Data Lake We have established ...

This week CRN is running the CRN 2024 Big Data 100 in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data ...

At the 2nd Annual Semantic Layer Summit, which took place April 26, AtScale founder and CTO Dave Mariani sat down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss ...

Performance matters more at the data warehouse level, where block storage – either in the cloud or on premises – is used for database storage. Hyperscalers’ data lake offerings ...

Oracle’s data warehouse solution has built-in support for data workloads, including in-database machine learning, spatial, graph and analytical SQL. The tool enables users to gain insights by ...

But Amazon Redshift gets the nod. Snowflake vs. Redshift: Conclusion Snowflake and Redshift are both excellent data warehouses for data analysis purposes. Each has its pros and cons.

Yellowbrick Data, a SQL data platform, announced today that CRN®, a brand of The Channel Company®, recognized Yellowbrick as part of its 2025 Big Data 100 li ...

There are a few key differences between data warehouses and data lakes. Here’s what K–12 IT leaders should consider when looking at how they might address their schools’ data storage needs. What Are ...

This week CRN is running the Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data warehouse ...