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DVC pipeline is focused on the experimentation phase of the ML process. Users can run multiple copies of a DVC pipeline by cloning a Git repository with the pipeline or running ML experiments. They can also record the workflow as a pipeline, and reproduce [28] it in the future. Pipelines are represented in code as yaml [29] configuration files ...
A current version is maintained for the table, or possibly a group of tables. This is stored in a supporting construct such as a reference table. When a change capture occurs, all data with the latest version number is considered to have changed. Once the change capture is complete, the reference table is updated with a new version number.
Dbt uses YAML files to declare properties. seed is a type of reference table used in dbt for static or infrequently changed data, like for example country codes or lookup tables ), which are CSV based and typically stored in a seeds folder .
Azure Cosmos DB is a globally distributed, multi-model database service offered by Microsoft. It is designed to provide high availability, scalability, and low-latency access to data for modern applications.
Nextflow comes with specific executors for various platforms, including major cloud providers. It supports the following environments for pipeline execution: [16] Local: This is the default executor where Nextflow pipelines run on Linux or Mac OS, and the execution occurs on the computer where the pipeline is launched.
Azure offers both the platform via web interface (Platform as a Service) and the hardware via virtual servers allocated to Azure accounts for data storage and processing (Infrastructure as a Service). [5] Azure Search resides within the Microsoft IaaS and PaaS suite as a service, I.E. Search as a Service (SaaS).
A staging area, or landing zone, is an intermediate storage area used for data processing during the extract, transform and load (ETL) process. The data staging area sits between the data source(s) and the data target(s), which are often data warehouses, data marts, or other data repositories.
The following is an incomplete list of the technical features in the BizTalk Server: The use of adapters to simplify integration to line of business (LOB) applications (Siebel, SAP, IFS Applications, JD Edwards, Oracle, Microsoft Dynamics CRM), databases (Microsoft SQL Server, Oracle Database and IBM Db2) and other Technologies (TIBCO and Java EE) [19]