Data Engineering Process Fundamentals - Data Streaming Exersise

Data Streaming - Exercise Now that we've covered the concepts of data streaming, let's move forward with an actual coding exercise. During this exercise, we'll delve into building a Kafka message broker and a Spark consumer with the objective of having the Kafka message broker work as a data producer...

Data Engineering Process Fundamentals - Data Streaming

In modern data engineering solutions, handling streaming data is very important. Businesses often need real-time insights to promptly monitor and respond to operational changes and performance trends. A data streaming pipeline facilitates the integration of real-time data into data warehouses and visualization...

Data Engineering Process Fundamentals - Data Analysis and Visualization Exercise

Data analysis and visualization are fundamental to a data-driven decision-making process. To grasp the best strategy for our scenario, we delve into the data analysis and visualization phase of the process, making data models, analyzes and diagrams that allow us to tell stories from the data. With...