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  2. Google Cloud Dataflow - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Dataflow

    In August 2022, there was an incident where user timers were broken for certain Dataflow streaming pipelines in multiple regions, which was later resolved. [ 6 ] Throughout 2023 and 2024, there have been various other updates and incidents affecting Google Cloud Dataflow, as documented in the release notes and service health history.

  3. Extract, load, transform - Wikipedia

    en.wikipedia.org/wiki/Extract,_load,_transform

    [1] [2] Since the data is not processed on entry to the data lake, the query and schema do not need to be defined a priori (although often the schema will be available during load since many data sources are extracts from databases or similar structured data systems and hence have an associated schema). ELT is a data pipeline model. [3] [4]

  4. Apache Beam - Wikipedia

    en.wikipedia.org/wiki/Apache_Beam

    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.

  5. 8 Certifications That Can Boost Your Tech-Based Side Gig - AOL

    www.aol.com/8-certifications-boost-tech-based...

    You can register for this course for around $200 and you’ll learn multiple topics related to running data engineering pipelines on Google Cloud, data system designing, managing data workloads ...

  6. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    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]

  7. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Data: By splitting a single sequential file into smaller data files to provide parallel access; Pipeline: allowing the simultaneous running of several components on the same data stream, e.g. looking up a value on record 1 at the same time as adding two fields on record 2

  8. Apache Storm - Wikipedia

    en.wikipedia.org/wiki/Apache_Storm

    Edges on the graph are named streams and direct data from one node to another. Together, the topology acts as a data transformation pipeline. At a superficial level the general topology structure is similar to a MapReduce job, with the main difference being that data is processed in real time as opposed to in individual batches. Additionally ...

  9. Apache Airflow - Wikipedia

    en.wikipedia.org/wiki/Apache_Airflow

    Apache Airflow is an open-source workflow management platform for data engineering pipelines. It started at Airbnb in October 2014 [2] as a solution to manage the company's increasingly complex workflows.