Dataflow: Unified stream and batch data processing that’s serverless, fast, and cost-effective based on Apache Beam.Profiles: using profiles we can assign a provisioner name and a set of configuration settings for that provisioner to our pipelines (control the execution time and costs)īut before we delve deeper into the Cloud Data Fusion details, there are other solutions on GCP to help us to transform our data, but remember that Cloud Fusion is the only one that it’s a complete ETL solution.Provisioner: it has the responsibility of creating and destroying the pipeline’s physical execution environment in our case, the ephemeral Dataproc clusters.We can see them as customizable modules and we can create our application using the existing plugins included with Cloud Data Fusion (it provides by default plugins for sources, transforms, aggregates, sinks, error collectors, alert publishers, actions, and post-run actions) or we can develop our own plugins. Plugin: data sources, transformations, and data sinks are generically referred to as a plugin.The data flow of a pipeline can be either batch or real-time. Then it’s converted by a planner in a physical pipeline which is a collection of programs and services that read and write through the data abstraction layer. Pipeline: there is a visual representation (logical pipeline) that it’s what you create through the web UI.Under the hood, Cloud Data Fusion creates ephemeral Dataproc clusters or we can reuse your existing Dataproc clusters. Execution environment: is where your pipelines really run.Cloud Data Fusion instance: Unique deployment of Cloud Data Fusion that you create on GCP.It’s time to introduce some basic concepts to help to understand the solution: Avoid vendor locking: you can run your workloads on Google Cloud Platform or on other cloud providers even on-premise because the solution is based on the open-source project CDAP.Reduce the development time: through the UI, we can create an entire workflow in a few clicks.Better accessibility: users without development skills can create and maintain their own workflows when your organization does not have access to a data analyst team or this team is overloaded. However, when you do download and install Lineage OS you’ll be rewarded with a powerful and flexible operating system for your smartphone or tablet that’s free from the whims of Google.This is service offers us a full ETL solution that organizations can manage through a web UI to create and control their data pipelines while Google takes care of the setup and maintenance of the underlying infrastructure. Lineage OS is still very new, so it’s only available for certain makes and models of smartphones and tablets, and installing Lineage OS is something that’s perhaps best left to advanced users, as you may find certain features of your phone no longer work – or now work differently than before. The reason many people installed CyanogenMod on their phones, rather than Android, was because of its increased flexibility and additional features compared to Google’s mobile operating system, and Lineage OS (as the name suggests) is a continuation of CyanogenMod’s goals. CyanogenMod, the popular open source mobile operating system based on Android, has ceased to be, but you can now download and install an early version of its successor, Lineage OS.
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