Category: Analytics

Databricks acquires BladeBridge to aid data warehouse migrations

BladeBridge will help enterprises migrate to Databricks’ lakehouse. Credit: rarrarorro / Shutterstock Data lakehouse provider Databricks…

Get started with Azure AI Content Understanding

Microsoft’s new generative AI-powered, multimodal, content analysis service is a next-generation version of its existing…

5 ways data scientists can prepare now for genAI transformation

GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables.…

Julia language adds lower-overhead Memory type

Dynamic language built for fast numerical computing introduces lower-level alternative to Array that delivers significant…

The best Python libraries for parallel processing

Do you need to distribute a heavy Python workload across multiple CPUs or a compute…

Overcoming data inconsistency with a universal semantic layer

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic,…

How to support accurate revenue forecasting with data science and dataops

Data science and dataops have a critical role to play in developing revenue forecasts business…

Dataframes explained: The modern in-memory data science format

Dataframes are a staple element of data science libraries and frameworks. Here's why many developers…

Better together? Why AWS is unifying data analytics and AI services in SageMaker

Demand for end-to-end platforms, the convergence of data and AI, and the evolution of roles…

5 ways data teams must lead in AI-driven organizations

The future of work requires data teams to lead with data governance, ops, and products…