Data Analytics is the process of examining, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. It involves techniques from statistics, machine learning, and computer science to analyze datasets, which can include structured and unstructured data. Data Analytics can reveal patterns, trends, and insights that might not be immediately obvious, enabling organizations to make informed choices based on empirical evidence. It encompasses various types of analysis, such as descriptive (what has happened), diagnostic (why it happened), predictive (what is likely to happen), and prescriptive (what actions should be taken). Data Analytics is widely used across various industries, including finance, healthcare, marketing, and operations, to optimize performance, enhance customer experiences, and drive innovation.
A Groundbreaking Achievement in Edge Computing Abhishek Das has emerged as a visionary in the realm of distributed systems and machine learning technologies. The impressive implementation of the Azure Stream…