The Relevance of SQL in Data Science: A Timeless Tool in a Modern World
SQL plays a central role in data science and is just as important today as it was decades ago. Its ability to integrate effortlessly with modern tools, handle …
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
SQL plays a central role in data science and is just as important today as it was decades ago. Its ability to integrate effortlessly with modern tools, handle …
Observability adoption is growing fast–and the tech stacks running observability are becoming bloated. Watch our experts talk about why and what to do about …
As generative AI reshapes industries and businesses, organizations must remain vigilant and ensure data security governance is a top priority.
As businesses continue to evolve in the digital age, adopting a Data Mesh framework offers a path to more agile, efficient, and impactful data
In this week's real-time analytics news: DataStax announced major updates to its Generative AI development
As customer expectations around instant gratification grow, fintechs increasingly need to respond in real-time. In this interview, we explore what the …
General-purpose databases are changing to adapt to the new AI and GenAI workloads. Take Postgres which recently gained vector database extensions.
GraphQL offers efficiency, flexibility, and an enhanced developer experience making it a better choice for content management than REST
In this week's real-time analytics news: In separate announcements, HPE and Deloitte teamed with NVIDIA on new AI
Lakehouse architecture is revolutionizing customer data management by eliminating data silos, maximizing flexibility, and improving data quality and …