![]() This leads to huge data integration efforts and expensive ETL processes. Prestoįollowing the rise of NoSQL databases, many specialized query languages exist today. To connect the containers in a local environment, Docker Compose is the easiest solution but for production, the recommended approach is to use an orchestration system like Kubernetes. For example, a simple scenario when doing back-end development is to use a container for the application and another for the database. ![]() ![]() This is extremely helpful, specially during development.Įach container should only have one function. Docker Hub contains many container images so we have a starting point and don’t have to package everything ourselves. Containers package software applications and all their dependencies, which helps enable reproducible infrastructure. I will be creating a small simulation using Metabase, a web based open-source BI solution to visualize data from MongoDB. To mitigate this issue, Facebook created Presto, a high performance, distributed SQL query engine for big data. With an increasing number of specialized databases, each having their own query languages, data analysts have a hard time to combine data from multiples sources.
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