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Ensuring everything runs smoothly in handling databases is like an ongoing adventure for folks working with data. PostgreSQL, a widely used and powerful open-source database system, is a go-to choice for many applications. But even in the land of PostgreSQL, making it work at its best isn’t always straightforward. In this journey,...
In today's world, handling complex tasks and automating them is crucial. Apache Airflow is a powerful tool that helps with this. It's like a conductor for tasks, making everything work smoothly. When we use Airflow with Docker, it becomes even better because it's flexible and can be easily moved around. In this blog, we'll explain what...
Data migration is a crucial process for modern organizations looking to harness the power of cloud-based storage and processing. The blog will examine the procedure for transferring information from MongoDB, a well-known NoSQL database, to Amazon S3, an elastic cloud storage solution leveraging PySpark. Moreover, we will focus on handling...
In this blog, I will discuss how Spark structured streaming works and how we can process data as a continuous stream of data. Before we discuss this in detail, let’s try to understand stream processing. In layman’s terms, stream processing is the processing of data in motion or computing data directly as it is produced or...