Data Factory Connector for M-Files

Cloud integration solution for M-Files

data factory illustration

Integrate M-Files with any other system

Save, classify and archive your files or objects using M-Files. Take your most important business processes to the next level.

Azure Data Factory (ADF) is, by definition, an integration tool in the cloud, data movement and data transformation tool. It can also be used as a hybrid data integration tool – connecting to On-Premise sources and to the sources in a Cloud.

process of azure data factory

Features

Connect and collect

Azure Data Factory enables a rich set of different connectors, making connections to various types of data sources - on-premise, in the cloud, structured, unstructured, semi structured - possible.

Transform and enrich

Processing and preparing data for destination. Data can be transformed using computed services in Azure like HDInsight Hadoop, Spark, Data Lake Analytics, Machine Learning, or a custom service.

Publish

Transferring processed and business-ready data in a consumable form into a database, service or some analytic engine. There is no need for manual synchronization and tons of emails, simply change it in one place and your job is done.

Connect and collect

Azure Data Factory enables a rich set of different connectors, making connections to various types of data sources - on-premise, in the cloud, structured, unstructured, semi structured - possible.

Transform and enrich

Processing and preparing data for destination. Data can be transformed using computed services in Azure like HDInsight Hadoop, Spark, Data Lake Analytics, Machine Learning, or a custom service.

Publish

Transferring processed and business-ready data in a consumable form into a database, service or some analytic engine. There is no need for manual synchronization and tons of emails, simply change it in one place and your job is done.

Benefits

Synchronize your documents and metadata on multi-platforms

Your files, documents, or objects could be a part of diverse processes and your data can easily be synchronized between those platforms or services.

Enterprise grade integration in cloud

Instant search by keyword and advisability of documents, objects or overall business process.

Pay-Per-Use

M-Files can be a helping system or the center of your business process. You can integrate all the changes and save them to M-Files or synchronize all the changes from M-Files to any other platform or service.

Use Cases

Backup

The easiest way to use Azure Data Factory is to backup your data from M-Files to a blob containers. Blobs are almost free and are very good way of storing data.

Agile programming

 

With ADF & M-Files you can easily get data from properties or an object and then transform or just remap to another property or an object.

Analytics and reporting

With ADF & M-Files you can easily pull you information in .JSON format and send it to any analytics platform, such as Data Lake, Machine Learning, or even ComosDB or Mongo DB. Make use of your data for smarter decision-making.

Integration

With more than 60 connectors for Azure Data Factory, an integration or synchronization with any system is simple, reliable and affordable.

Backup

The easiest way to use Azure Data Factory is to backup your data from M-Files to a blob containers. Blobs are almost free and are very good way of storing data.

Agile programming

With ADF & M-Files you can easily get data from properties or an object and then transform or just remap to another property or an object.

Analytics and reporting

With ADF & M-Files you can easily pull you information in .JSON format and send it to any analytics platform, such as Data Lake, Machine Learning, or even ComosDB or Mongo DB. Make use of your data for smarter decision-making.

Integration

With more than 60 connectors for Azure Data Factory, an integration or synchronization with any system is simple, reliable and affordable.

Frequently Asked Questions

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Integrate your systems with M-Files Azure Data Factory Connector

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