Simple and Distributed Machine Learning
azure
microsoft
machine-learning
deep-learning
ai
data-science
opencv
ml
cognitive-services
spark
http
big-data
lightgbm
databricks
onnx
apache-spark
pyspark
scala
model-deployment
synapse
Обновлено 2024-09-16 09:47:20 +03:00
Client library for Azure Databricks
Обновлено 2024-09-13 21:40:00 +03:00
Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
azure
microsoft
spark
event-hubs
eventhubs
streaming
databricks
stream
apache-spark
bigdata
apache
spark-streaming
kafka
scala
connector
structured-streaming
ingestion
continuous
real-time
Обновлено 2024-06-11 23:11:35 +03:00
End-to-end proof of concept showing core MLOps practices to develop, deploy and monitor a machine learning model for an employee retention workload using Databricks and Kubernetes on Microsoft Azure.
Обновлено 2024-05-28 07:06:17 +03:00
Apache Spark Connector for Azure Cosmos DB
spark
jupyter-notebook
cosmos-db
azure-cosmos-db
apache-spark
databricks
pyspark
databricks-notebooks
azure-databricks
connector
changefeed
lambda-architecture
Обновлено 2024-05-21 00:00:20 +03:00
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
dotnet
csharp
dotnet-core
fsharp
microsoft
dotnet-standard
machine-learning
spark
spark-sql
spark-streaming
streaming
tpcds
analytics
tpch
apache-spark
azure
bigdata
databricks
emr
hdinsight
Обновлено 2023-02-18 00:56:32 +03:00
Testing framework for Databricks notebooks
Обновлено 2022-12-16 19:30:53 +03:00
A solution for on-demand training and serving of Machine Learning models, using Azure Databricks and MLflow
Обновлено 2020-07-17 18:09:01 +03:00
A mechanism to ensure a series of configured jobs are loaded into an Azure Databricks instance
Обновлено 2020-07-07 21:01:54 +03:00