SOCs face evolving cyber threats as 80% of attacks mimic user behavior. Discover how multi-layered NDR detection strategies ...

Microsoft Threat Intelligence has observed remote IT workers deployed by North Korea leveraging AI to improve the scale and ...

AI innovation in agentic AI, agents and new products in 2025 is led by AWS, Databricks, Dataiku, Google Cloud, GitHut, IBM, ...

Different types of data management focus on various aspects of handling data, such as storage, integration, quality, and security. By combining data management tools and techniques, organizations can ...

Microsoft Excel is an essential tool for professionals across industries, offering robust features for data management and analysis. Mastering advanced Excel techniques can enhance your ...

Data science helped in extracting the maximum out of operations. It also helped in improving customer experience and opportunities to find markets that can grow further. Data-driven decision-making is ...

In today’s data-driven world, efficiently extracting data from large datasets is crucial for businesses to gain valuable insights and make informed decisions. As data volume, variety, and velocity ...

Time-series analysis involves visualizing data that changes over time. Techniques like line charts, area charts, and seasonal decomposition plots are commonly used to analyze trends, patterns, and ...

3. Data Variety . Data variety refers to the different types of data generated by various devices, including structured, semi-structured, and unstructured data. This diversity presents a set of ...