When aligned with a well-structured data lake and supported by scalable, secure enterprise systems, AI can unlock a plethora of possibilities. In the ever-evolving tech landscape, the integration of ...

Data warehouses have been at the center of data analytics systems within many businesses and organizations for years, going as far back as the 1980s. With the growing adoption of cloud, data warehouse ...

Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. Image: ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

Cribl, the Data Engine for IT and Security, is introducing Cribl Lake, a turnkey data lake solution designed to empower IT and security teams to have complete control and flexibility over their data.

Every college and university has data storage needs, and student records are just the beginning. IT systems demand storage as well: Internet logs, security events, building systems, security cameras ...

In the age of exponential data growth, organizations face the pressing challenge of managing, storing and extracting value from increasingly complex, diverse and high-velocity datasets. Traditional ...

If there’s one thing a modern business needs, it’s data—as much of it as possible. Starting with data warehouses and now with data lakes, we’re using on-premises and cloud tools to manage and analyze ...

Most data lakes and data warehouses can be configured with specific rules, including security policies, that specify how to process each type of data. Personally identifiable information (PII) data, ...