Opinions expressed by Digital Journal contributors are their own. The need for big data testing in analytics is growing. Data continues to increase exponentially, and organizations are vying to take ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

Kinil Doshi is a senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. Advances in technology have played a crucial and welcomed role ...

Technology, changing at a breakneck speed, has never raised higher demands for practitioners who can guarantee the integrity, security, and performance of large-scale applications. Viharika is at 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 ...

With more and more use cases for AI and all its branches taking shape, big data is surging in relevance as the backbone of these projects—prompting DBAs, IT, data scientists, and more to take a closer ...

Lacking a holistic understanding of their target audience limits marketers’ ability to create the most effective strategies. Yet they often prioritize the concrete metrics of quantitative data, such ...

(a) Crop breeding driven by the next generation of AI and big data technologies will be revolutionized in four areas: (i) high-throughput phenotype acquisition and analysis; (ii) biological big ...

The Big Data Institute (BDI) under the Digital Economy and Society Ministry has laid out its strategic direction for advancing Thailand through data and artificial intelligence (AI). Under its 2026 ...

The Internet has Google. Now biology has MetaGraph. Detailed today in Nature, the search engine can quickly sift through the staggering volumes of biological data housed in public repositories. “It’s ...