Information about scheduling tools & Databricks
Topics Covered: ●What is Apache Airflow? ●Features of Apache Airflow ●Components of Apache Airflow ●What is Databricks? ●What is Data Lakes? ●Features of a Data Lake ●Differences between a Data Lake and Data Warehouse ●Applications of Databricks What is Apache Airflow? ●Automation of work plays a key role in any industry and it is one of the quickest ways to reach functional efficiency. ●Most of us have to deal with different work flows like collecting data from multiple databases, preprocessing it, uploading it, and reporting it. ●Consequently, it would be great if our daily tasks just automatically trigger on defined time, and all the processes get executed in order. This is where Apache Airflow comes into picture. ●Apache Air flow is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows ●Airflow’s extensible Python frame work enables you to build workflows connecting with virtually any technology. ●A web interface helps manage the state of ...