GoogleCloudPlatform / Data-Pipeline
Data pipeline is a tool to run Data loading pipelines. It is an open sourced app engine app that users can extend to suit their own needs. Out of the box it will load files from a source, transform them and then output them (output might be writing to a file or loading them into a data analysis tool). It is designed to be modular and support var…
☆88Updated 11 years ago
Alternatives and similar repositories for Data-Pipeline:
Users that are interested in Data-Pipeline are comparing it to the libraries listed below
- Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.☆163Updated 7 years ago
- Example Kubernetes app that shows how to build a 'pipeline' to stream data into BigQuery. Uses Redis or Google Cloud PubSub☆129Updated 4 years ago
- ☆54Updated 7 years ago
- *luigi-gcloud* is an luigi extension that enables full support for the Google Cloud Platform. Making it possible to do complex orchestrat…☆43Updated 8 years ago
- Cloud Pub/Sub sample applications with Python☆72Updated 8 years ago
- An example that shows how to periodically launch a Dataflow analytics pipeline from GAE Flex, that reads from Datastore.☆42Updated 7 years ago
- Repository with examples and smoke tests for the GCP Airflow operators and hooks☆146Updated 8 years ago
- Google Datalab Library☆193Updated 2 years ago
- Opinion Analysis of News, Threaded Conversations, and User Generated Content☆102Updated 5 months ago
- Sample app exercising gcloud-python library☆67Updated 6 years ago
- ☆84Updated 6 years ago
- This is the support code and solutions for the NYC Taxi Tycoon Dataflow Codelab☆60Updated 5 years ago
- makeViewerUrl☆87Updated 8 months ago
- Small python logging handlers that directly send the logs to Cloud Pub/Sub☆23Updated 4 years ago
- Example stream processing job, written in Scala with Apache Beam, for Google Cloud Dataflow☆30Updated 7 years ago
- This service is meant to simplify running Google Cloud operations, especially BigQuery tasks. This means you do not have to worry about …☆45Updated 5 years ago
- Processing Logs at Scale using Cloud Dataflow☆61Updated 5 years ago
- Cloud Dataproc: Samples and Utils☆200Updated last month
- Example that shows use of the Prediction API☆10Updated 6 years ago
- Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines. This re…☆166Updated 6 years ago
- ☆47Updated 3 years ago
- ☆119Updated 9 years ago
- ☆46Updated 9 months ago
- A tool for moving tables from Redshift to BigQuery☆65Updated 6 years ago
- Uses Cloud Build to deploy a scalable batch ingestion pipeline consisting of GCS, Cloud Functions, Dataflow and BigQuery☆22Updated 2 years ago
- Simplest way to get Tweets into BigQuery. Uses Google Cloud & App Engine, as well as Python and D3.☆141Updated 8 years ago
- Multi Cloud Data Tokenization Solution By Using Dataflow and Cloud DLP☆90Updated 6 months ago
- A curated list of all the awesome examples, articles, tutorials and videos for Apache Airflow.☆96Updated 4 years ago
- Google Container Engine, JupyterHub, and Jupyter for classroom scenarios☆59Updated 7 years ago
- Spark pipelines that correspond to a series of Dataflow examples.☆27Updated 5 years ago