As companies implement identity resolution solutions, many are left with the challenge of needing to merge offline customer ...

A quick quide to shifting from data warehouse, data lake or legacy systems to a data lakehouse without disrupting business applications.

Oracle Data Warehouse and Amazon Redshift are two popular data warehousing solutions, but which one has your organization's ideal features and capabilities? Read this comparison to find out.

Firebolt is offering a next-generation Cloud Data Warehouse (CDW) that delivers low latency analytics with drastic efficiency gains, reflecting continuous feedback from users and real-world use cases.

Success with a lakehouse depends on more than just tooling—it requires team readiness, clear processes and thoughtful design.

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

The Top 25 Firm plans to launch a data warehouse service for smaller organizations this year and has been using AI to develop some of its rollout strategies.

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 ...

Teradata and Snowflake are leading data warehousing solutions. Read this feature comparison of Teradata and Snowflake.