Big Data is distributed to downstream systems by processing it within analytical applications and reporting systems.
Big Data Processing is the collection of methodologies or frameworks enabling access to enormous amounts of information and extracting meaningful insights. Initially, Big Data Processing involves data acquisition and data cleaning. Once you have gathered the quality data, you can further use it for Statistical Analysis or building Machine Learning models for predictions.
Using the data processing outputs from the processing stage where the metadata, master data, and metatags are available, the data is loaded into these systems for further processing.
In real-word, most of the data is unstructured, making it difficult to streamline the Data Processing tasks. And since there is no end to the Data Generation process, collecting and storing information has become increasingly difficult. Today, it has become essential to have a systematic approach to handling Big Data to ensure organizations can effectively harness the power of data.
