With the number of devices increasing each day, the amount of data being generated is equally increasing at an unprecedented rate. The data from various sources come in various forms, such as social media posts, sensor data, and the internet. It is important to have systems that can process and analyze data in real-time if you are to make sense of this data. This is where we realize the importance of real-time stream processing. Here is the explanation of real-time processing and some strategies to create real-time processing and analysis of streaming data.  

Big data refers to the large volume of structured and unstructured data that organizations collect and store daily. Managing this data effectively requires a robust infrastructure and resources to handle the workload. This article will discuss the components of big data infrastructure, the solutions available to manage it, and the challenges organizations face when implementing these solutions.

Data integration is the process consisting of merging data coming from a variety of sources and in different formats into a single, unified view. The process is necessary for businesses that rely on data to make crucial business decisions, because it allows them to access a more complete and accurate view of their data. Because of this, the article will explore the importance of data integration, the various methods and tools used to achieve it, and best practices for integrating data effectively.