Big Data Basics: Tools, Techniques, and Real-World Use Cases
Big Data Basics: Tools, Techniques, and Real-World Use Cases Big data refers to very large and varied data sets that grow quickly. It includes text, numbers, images, and sensor data from many sources. Traditional methods struggle with speed and scale, so new tools help store, process, and analyze this data to reveal patterns and support decisions. In practice, teams use a mix of tools and techniques. Batch processing handles large volumes on a schedule. Streaming processes data as it arrives, so decisions happen faster. Flexible databases and data warehouses store different data types, keeping data accessible for reports or models. ...