Onehouse, a new data lakehouse startup, today launched from stealth mode after raising a $8 million seed funding round co-led by Greylock and Addition. A lakehouse is a new type of software solution ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As organizations store increasing volumes of information in data ...

Traditionally, a data lake was a place to store amorphous unstructured data, while a data warehouse was where you put very structured data like credit card information. That began changing in recent ...

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 Last week Teradata offered its long-awaited ...

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 ...

The latest trends and issues around the use of open source software in the enterprise. As the amount of data grows along with use cases, no single platform can expand fast enough to be your data ...

Databricks today announced a $1.6 billion Series H round of venture capital funding at a $38 billion valuation. The company says the new money validates its lakehouse approach to big data architecture ...

Why are organizations adopting SQL data lakehouses? The SQL data lake house is a type of cloud data architecture that queries object stores at high speed and provides access to data across multiple ...

Dremio is adding new features to its data lakehouse including the ability to copy data into Apache Iceberg tables and roll back changes made to these tables. Apache Iceberg is an open-source table ...

Partnering with around 60 firms representing more than 400 advisors with over $100 billion in platform assets, the St. Petersburg, Florida-based wealth management solutions provider Dynasty Financial ...

Data continues to grow in importance for customer insights, projecting trends, and training artificial intelligence (AI) or machine learning (ML) algorithms. In a quest to fully encompass all data ...