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spark - .NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
.NET for Apache Spark provides high performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer.
spark analytics bigdata spark-streaming spark-sql machine-learning fsharp dotnet-core dotnet-standard streaming apache-spark tpcds tpch azure hdinsight databricks emr microsoftazure-databricks-client - Client library for Azure Databricks
The Azure Databricks Client Library allows you to automate your Azure Databricks environment through Azure Databricks REST Api. The implementation of this library is based on REST Api version 2.0.
databricksterraform-provider-databricks - Terraform Databricks provider
If you wish to work on the provider, you'll first need Go installed on your machine (version 1.9+ is required). You'll also need to correctly setup a GOPATH, as well as adding $GOPATH/bin to your $PATH. To compile the provider, run make build. This will build the provider and put the provider binary in the $GOPATH/bin directory.
terraform terraform-provider terraform-databricks-provider databricksbatcomputer - A working example of DevOps & operationalisation applied to Machine Learning and AI
Project Batcomputer is a working example of DevOps applied to machine learning and the field of AI. 💬 Why "Project Batcomputer"? The main model trained and used as the foundation of the project is based on crime data, and predictions of outcomes of crimes (convictions etc). The Batman Batcomputer seemed like a fun way to make using such a prediction model more interesting.
docker kubernetes machine-learning azure api-wrapper databricks azure-devopsazdo-databricks - A set of Build and Release tasks for Building, Deploying and Testing Databricks notebooks
This extension brings a set of tasks for you to operationalize build, test and deployment of Databricks Jobs and Notebooks. To run this set of tasks in your build/release pipeline, you first need to explicitly set a Python version. To do so, use this task as a first task for your pipeline.
azdo devops databricks datadelta-rs - A native Rust library for Delta Lake, with bindings into Python and Ruby.
A native interface to Delta Lake. This library provides low level access to Delta tables in Rust, which can be used with data processing frameworks like datafusion, ballista, rust-dataframe, vega, etc. It also provides bindings to other higher level languages such as Python, Ruby, or Golang.
pandas-dataframe pandas delta databricks delta-lake
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