Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...
The movement towards data-driven business requires sophisticated capabilities incorporating robust, scalable, and adaptable databases. When Microsoft announced Linux platform support for SQL in 2017, ...
Microsoft execs have been extolling the benefits of integrating databases and analytics for the past several years, starting in earnest with Azure Synapse Analytics. Today during Day 1 of its virtual ...
Overview: SQL remains a core skill for data management across industries in 2026Free courses build fundamentals while paid ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Meet NoDB, an open source Airtable alternative that builds REST endpoints and SDKs, so your team moves faster without monthly ...
At its Build developer conference, Microsoft today announced what it calls its “Microsoft Intelligent Data Platform.” That’s not so much a new platform but an effort to bring the company’s existing ...
SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...
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 ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
This high-level definition of a data platform is meant to help frame conversations about the category and compare vendors and their place in it. The definition itself is a moving target since the ...
Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...
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