DATA INGESTION
INTRODUCTION This data can originate from disparate sources, including sensors, web applications, databases, logs, and external data providers. Once ingested, the data is usually transformed and enriched to support analytics and decision-making processes. The main goal of data ingestion is to facilitate the consolidation of data into a single view that can provide valuable business insights TYPES OF DATA INGESTION 1 . Batch Ingestion In batch ingestion, data is accumulated over a set time period and then moved to storage in one go. This is often the method of choice for scenarios where real-time insights are not imperative. However, it can suffer from latency issues and sometimes requires complex scheduling to avoid system overloads 2.Real-time Ingestion Here, data is ingested almost as soon as it’s produced. This is crucial for applications that rely on timely data, such as fraud detection or system monitoring. R...