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 ...

Many enterprises are moving towards use of data lakes to help in managing increasing amounts of information. Such large repositories allow organisations to gather and store structured and unstructured ...

What if the very foundation of your organization’s data strategy was holding you back? For years, data lakes have promised flexibility and scalability, yet many businesses find themselves grappling ...

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 ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

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 ...

Your data is the most valuable commodity your company has, and at this very moment, thieves are plotting to steal it from you. The rise of cloud storage means businesses can access files and documents ...

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, ...

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 ...

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 ...