docs.dashwin.eu
DashWin - DashWin
The research leading to these results has received funding from the European Union Seventh Framework Programme [FP7/2007-2014] under grant agreement no 283533.
docs.data.ox.ac.uk
Welcome to the Open Data Service’s documentation! — Open Data Service v0.3 documentation
Open Data Service v0.3 documentation. Welcome to the Open Data Service’s documentation! The Open Data Service exists to make available institutional data of the University of Oxford. If you’re new to linked data, you may want to read “Linked Data Basics for Techies”. Overview of the Service. Minting URIs for the Open Data Service. Feedback and contact details. Welcome to the Open Data Service’s documentation! Overview of the Service. Enter search terms or a module, class or function name.
docs.dataabstract.com
Data Abstract Documentation
Data Abstract for .NET. Data Abstract for Cocoa. Data Abstract for Java and Android. Data Abstract for Delphi. Data Abstract for JavaScript. This is a new documentation site. We are adding new content and improving existing documentation for each Data Abstract platform. If the documentation you are looking for is not here yet, please check out the old documentation wiki. While we are in the transition process. But the infrastructure is implemented natively on each platform. Data Abstract for .NET. The fi...
docs.databricks.com
Welcome to Databricks — Databricks Documentation
MLlib and Machine Learning. Educational Materials and Tutorials. Here you’ll find a variety of documentation on Databricks and Apache Spark. This documentation specifically refers to how one should use Databricks as an end user. Databricks File System - DBFS. Databricks Utilities - dbutils. FAQ and Best Practices Guides. This documentation specifically refers to how one should use Databricks as an administrator. REST API V2.0. REST API V1.2. REST API Use Cases. List of API calls. Spark SQL Language Manual.
docs.datadoghq.com
Datadog Docs - Get Started with Datadog
Getting Started with the Agent. Sending Metrics with DogStatsD. Log Parsing in the Agent. Writing an Agent Check. Setting up Network Checks. Deploying the Agent with Chef. Deploying the Datadog Agent to Azure. Using markdown in Datadog events. Guide to Dashboard Templating. Single Sign On With SAML. Getting Started with the Agent. Sending Metrics with DogStatsD. Log Parsing in the Agent. Writing an Agent Check. Setting up Network Checks. Deploying the Agent with Chef. Deploying the Datadog Agent to Azure.
docs.datadome.co
DataDome
The DataDome Developer Hub. Welcome to the DataDome developer hub. Youll find comprehensive guides and documentation to help you start working with DataDome as quickly as possible, as well as support if you get stuck. Lets jump right in! Search results for ". No results found for "{ search.query} ". Ask about it in support. Getting Started with DataDome. Varnish 4.0 - 4.1 - 5.0. IIS module (ASP.Net). Integrate your CDN with DataDome. CDN and Bot protection. Apache Module V2.26. Create your free account.
docs.datafield.apiary.io
Datafield API v1 · Apiary
docs.datalad.org
Datalad — data management and distribution suite: Documentation — datalad 0.1 documentation
Related efforts and solutions. Data management use cases. Automatic creation and maintenance of datasets by crawling external resources. Datalad data management and distribution suite: Documentation. Datalad data management and distribution suite: Documentation. Related efforts and solutions. Brain Imaging Data Structure (BIDS). JSON-LD meta data format. Data management use cases. A typical data management workflow. Command line interface infrastructure. Provided by Read the Docs. On Read the Docs.
docs.datamolino.apiary.io
Datamolino API 1.2 · Apiary
docs.datamountaineer.com
Stream Reactor — StreamReactor 0.1 documentation
Fast Data UI’s (Landoop). Python Schema Client and Serializers and Deserializers. The Stream Reactor is a set of components to build a reference architecture for streaming data platforms. At its core is Kafka, with Kafka Connect providing a unified way to stream data in and out of the system. The actual processing if left to streaming engines and libraries such as Spark Streaming, Apache Flink, Storm and Kafka Streams. Fast Data UI’s (Landoop). Python Schema Client and Serializers and Deserializers.
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