This section should be added up the prior one as it is part of acquiring data, but I decided to split them since this section is more about designing the data frame out of the Riot Game's API and less mathematically. The average game duration of the region EUW (including the games bein...
was used fordata warehousingwith Spark 13.0 as the compute engine. With Azure Databricks, it was possible to easily process and analyze large amounts of data, build machine learning models, and create interactive dashboards. Azure Databricks can be compared to Google Big Query, a fully managed...
Azure Databricks, a fast, easy, and collaborative Apache Spark-based analytics platform, was used fordata warehousingwith Spark 13.0 as the compute engine. With Azure Databricks, it was possible to easily process and analyze large amounts of data, build machine learning models, and create interact...