Managing Big Datasets with Apache Spark
When dealing with massive datasets, traditional methods of data processing can be slow and inefficient. Fortunately, Apache Spark provides a powerful framework for distributed processing that allows for much faster and more scalable data manipulation. In this blog post, we will explore how to use Apache Spark to import a massive CSV/JSON (as in many gigabytes and tens of millions of lines), do some data processing and cleaning of the text-based data, and then save the new rows into a database using Python....