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
Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.
azure
docker
react
nodejs
iot
cosmosdb
spark
hdinsight
big-data
spark-streaming
spark-sql
streaming
apache-spark
servicefabric
kafka
streaming-data
iothub
sparksql
eventhub
kafka-streams
Обновлено 2024-09-11 01:54:26 +03:00
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
azure
python
machine-learning
deep-learning
data-science
r
ai
ml
big-data
sqlserver
data-analysis
dsvm
Обновлено 2022-09-18 21:35:33 +03:00
An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
Обновлено 2022-01-11 19:29:20 +03:00
Microsoft's contributions for Spark with Apache Accumulo
Обновлено 2020-10-13 20:55:58 +03:00
Peregrine is a workload optimization platform for cloud query engines. The goal of Peregrine is three-fold: 1. make it easier to ingest and analyze query workload telemetry into a common engine-agnostic representation, 2. help developers to quickly build workload optimization applications to reduce overall costs and improve operational efficiency, and 3. providing better experience to the customers in the form of workload insights, actionable recommendations, and self-tuning capabilities.
Обновлено 2020-08-31 07:53:14 +03:00
A reference implementation of an end to end Azure infrastructure for scalable enterprise BI and Reporting
Обновлено 2018-02-03 00:22:35 +03:00