Written and edited by the leading journalists in the field of big data, BigDATAwire offers unmatched insight, analysis and up-to-the-minute information about emerging trends and solutions in big data. From networking to applications, or business to government, we have you covered. So keep up with the latest themes and events in big data analytics with BigDATAwire’s 2025 editorial calendar.
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Harnessing Observability Data
Getting a handle on observability data — logs, metrics, traces, and events — isn’t easy, but it’s critical for ensuring the smooth operation of modern IT systems. We’ll check out the latest developments in observability data and emerging best practices.
Building Data Products
Data products are growing in popularity for democratizing access to data for analytics and AI. We’ll dig into the latest technologies and techniques that companies are using to build data products for their employees and customers.
Accelerating Compute for Analytics and AI
The rise of GenAI has bolstered demand for compute, driving the development of accelerators such as GPUs. But GPUs aren’t the only game in town, as FPGAs, ASICs, and even CPUs have made gains in the new era of accelerated compute.
Data Privacy and Security for AI
AI poses significant challenges to data privacy and security. Organizations that follow best practices will be best suited to adapt to the new privacy and security environment.
BigDATAwire Awards (People to Watch)
The World of Data Intelligence
Keeping on top of big data estates requires a mix of different technologies and techniques, which are collectively known as data intelligence. We’ll provide insight into the latest in data intelligence and the top vendors in the space.
Advancing the Lakehouse for Analytics
Organizations are gravitating to the data lakehouse pattern, which offers many advantages for advanced analytics. But which data lakehouse is best for you?
The Next Generation of Big Data Storage
The rise of AI is putting pressure on data storage. We’ll check out the latest technologies and techniques for storing and accessing large amounts of data for AI.
The State of Academic Data Science
Universities remain central to the evolution of data science, both as a training ground for the next generation of practitioners as well as a testing ground for new tech. We’ll check in with universities to see what’s happening with the latest academic programs and research projects.
Agentic AI and the Emerging GenAI Stack
Companies are scrambling to adopt generative AI to gain a competitive advantage or to avoid being disrupted by first-movers. We’ll take a look at the emerging stacks that companies are using to build GenAI and agentic AI products.
The Open Python Data Ecosystem
As momentum continues to build for Python as the world’s most popular language, we’ll explore the wide world of Python tools for data management, advanced analytics, and AI.
AI Ethics and Regulations
Just because you can do something with AI doesn’t mean it’s a good idea to do it. We’ll explore the emerging best practices for AI ethics and the growing impact of AI regulations.
The Future of Cloud Computing
The cloud presents numerous opportunities for storing and processing big data, but it also provides challenges. We’ll explore these topics, compare the offerings of the largest cloud platforms, and provide insight into what comes next.
BigDATAwire Awards (Readers’ & Editors’ Choice)
Unstructured Data Management
The LLM revolution has rendered unstructured data more valuable, but has also exposed the
difficulties in effectively managing and governing large amounts of unstructured data.
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For sales inquiries, please contact: [email protected]
