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Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem. Dataflow provides a fully managed service for executing Apache Beam pipelines, offering features like autoscaling, dynamic work rebalancing, and a managed execution environment.
Apache Beam is an open source unified programming model to define and execute data processing pipelines, including ETL, batch and stream (continuous) processing. [2] Beam Pipelines are defined using one of the provided SDKs and executed in one of the Beam’s supported runners (distributed processing back-ends) including Apache Flink, Apache Samza, Apache Spark, and Google Cloud Dataflow.
Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools. [5]
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Google App Engine (also referred to as GAE or App Engine) is a cloud computing platform used as a service for developing and hosting web applications.Applications are sandboxed and run across multiple Google-managed servers. [2]
On August 13, 2013, Looker announced a Series A round of funding from Redpoint Ventures, First Round Capital, and PivotNorth Capital, raising more than $18M. [10] Prior to the Series A round, Looker raised $2M in a seed round from First Round Capital and PivotNorth Capital. [10]
Google for Startups (formerly known as Google for Entrepreneurs) is a startup program launched by Google in 2011. It consists of over 50 co-working spaces and accelerators in 125 countries, and provides hands-on lessons for aspiring entrepreneurs.
Google Cloud Storage is an online file storage web service for storing and accessing data on Google Cloud Platform infrastructure. [1] The service combines the performance and scalability of Google's cloud with advanced security and sharing capabilities. [2]