#
data-pipelines
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MLeap: Deploy Spark Pipelines to Production
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Jul 31, 2020 - Scala
Dataform is a framework for managing SQL based data operations in BigQuery, Snowflake, and Redshift
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Aug 20, 2020 - TypeScript
Relational data pipelines for the science lab
mysql
python
s3
databases
pipeline-framework
scientific-computing
cloud-computing
data-analysis
relational-databases
data-pipelines
workflow-management
datajoint
relational-algebra
relational-model
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May 26, 2020 - Python
This is an Open Source PHP Reporting Framework which you can use to write perfect data reports or to construct awesome dashboards using PHP
php
framework
reporting
data-visualization
data-viz
data-analysis
reporting-engine
data-pipelines
report-generator
php-reports
mysql-reporting-tools
php-reporting-tools
data-pivot
data-summarization
reporting-tool
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Aug 16, 2020 - PHP
The fastest way to access and manage datasets for PyTorch and TensorFlow. Easily build scalable data pipelines. https://activeloop.ai
training
data-science
machine-learning
deep-learning
tensorflow
pytorch
distributed
data-scientists
datasets
data-pipelines
training-data
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Aug 20, 2020 - Python
Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.
java
export
machine-learning
scala
spark
apache-spark
machine-learning-algorithms
transformers
mllib
machine-learning-library
data-pipelines
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Dec 15, 2017 - Java
A Pachyderm deep learning tutorial for conference workshops
python
docker
kubernetes
data-science
machine-learning
deep-learning
containers
data-engineering
data-pipelines
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Aug 2, 2017 - Python
ARAKAT - Big Data Analysis and Business Intelligence Application Development Platform
docker
distributed-systems
docker-swarm
business-intelligence
data-pipelines
big-data-analytics
predictive-maintenance
cloud-native-applications
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Jul 30, 2020 - Python
Example of an ETL Pipeline using Airflow
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Aug 30, 2017 - Python
Framework for data processing
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Nov 10, 2019 - Python
Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation, validation and loading of data from S3 -> Redshift -> S3
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Sep 30, 2019 - Python
Provides an extensible solution for creating Data Processing Pipelines in F#.
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Apr 7, 2018 - F#
Framework to quickly build and maintain Smart Data Lakes
scala
spark
hive
hadoop
transform-data
data-lake
data-pipelines
comprehensive
deltalake
smart-data-lake
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Aug 20, 2020 - Scala
Using Apache Airflow to author, run and monitor complex data pipelines.
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Oct 24, 2018 - Jupyter Notebook
The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
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Jul 27, 2020 - Python
Create production-ready Dataflow projects in a zap! ⚡
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Jan 2, 2020 - Python
aredier
commented
Nov 3, 2019
errors that occur in the server do not transmit to the server instead we get this generic errors:
ValueError: the execution of the pipeline failed, see _deployment logs for traceback
which doesn't help and is running on my nerves.
An example Pachyderm ML pipeline using Nervana Neon
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Mar 23, 2017 - Python
Building data processing pipelines for documents processing with NLP using Apache NiFi and related services
nlp
elasticsearch
kibana
rest
data-integration
nifi
apache-nifi
data-pipelines
electronic-health-records
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Aug 3, 2020 - Jupyter Notebook
Ease of use in-app micro-ETL framework for building data processing pipelines.
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Oct 11, 2017 - C#
A framework for microservices
aws
workflow
devops
microservices
dashboard
flexible
deployment
etl
analytics
deploy
plugins
deployments
devops-tools
flexibility
data-pipelines
devops-services
pluggable
data-pipeline
devops-workflow
etl-framework
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Nov 5, 2018 - JavaScript
A framework for fast development of scalable data pipelines following a simple design pattern
python
data-science
data
machine-learning
data-mining
pipeline
pipelines
design-patterns
pipeline-framework
data-analytics
data-analysis
task-queue
reproducibility
data-processing
data-pipelines
pipeline-stages
data-abstraction
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Jul 29, 2020 - Python
Project 5 - Data Engineering Nanodegree
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Jun 26, 2019 - Python
A suite of tools written in Pyraf, Astropy, Scipy, and Numpy to process individual QuickReduced images into single stacked images using a set of "best practices" for ODI data.
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May 18, 2020 - Python
Quick way to deploy Airflow Multi-Node Cluster (a.k.a. Airflow Celery Executor Setup)
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Aug 6, 2020 - Python
Source code for guide to run Apache Airflow on Kubernetes
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Apr 13, 2020 - Python
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Jul 28, 2020 - Python
Supplementary material for DOLAP 2019 submission
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Dec 17, 2018
Implemented Data Warehouse, Data Lake on AWS and Data modeling with Postgres and Apache Cassandra, Also used Apache Airflow to create data pipeline
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Jul 2, 2020 - Jupyter Notebook
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The issue here is that every other check method throws on failure, and
is_strreturns true or false. Note the different in behavior betweenis_strandis_list.I believe the the best fix would be to move
is_strto dagster.utils, where the is prefix can more credibly mean returns True or False.