Overview: Employers should prioritize practical skills in Python, SQL, and ML over academic titles.Soft skills like ...

According to statistics from Liepin.com, 90% of big data positions require at least one programming language to be mastered. From a data analysis assistant earning 8k a month to a data scientist ...

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

PolyBase, a data virtualization feature for SQL Server, allows users to seamlessly query data from various external sources directly using T-SQL (Transact-SQL) without the need for separate client ...

Considering a career as a data analyst or data engineer? Explore the differences between the roles and how they collaborate in the tech world.

在这样的背景下，TabTab.ai 推出了首个全链路 Data Agent，让 Vibe Data Analysis 时刻到来。Vibe Data Analysis的核心在于数据分析场景下重构人机交互模式：通过自然语言对话，把“结构化读写 + ...

Missed out on government jobs? Check high-demand private sector roles like data analyst that require no specific degree.

For the past fifty years, SQL has helped us understand, manipulate and use our data to our advantage.

Hand-authored SQL queries can be clumsy to use, since databases and software applications tend to live in separate conceptual worlds. It’s hard to model how your app and your data work together.

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases.