AnalyticsTools

Understanding the Landscape of Big Data Tools Big data projects rely on a mix of tools that store, move, and analyze very large datasets. Hadoop and Spark are common pillars, but the field has grown with streaming engines and fast query tools. This variety can feel overwhelming, yet it helps teams tailor a solution to their data and goals. Hadoop provides scalable storage with HDFS and batch processing with MapReduce. YARN handles resource management across a cluster. Many teams keep Hadoop for long-term storage and offline jobs, while adding newer engines for real-time tasks. It is common to run Hadoop storage alongside Spark compute in a modern data lake. ...

HR Tech: People Analytics and Tools HR tech has evolved from simple records to a family of tools that turn data into action. People analytics looks at how employees move through hiring, development, and retention, so leaders can make smarter decisions. Modern systems gather data from many sources—HRIS, applicant tracking, performance reviews, engagement surveys, learning platforms, and time and attendance—to reveal patterns that were hard to see before. Common tools ...