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Microsoft Azure Data Factory
Microsoft Azure Data Factory (ADF) is a cloud-based platform for automated data integration and transformation.
The serverless ETL and data integration service enables companies to collect and integrate data from disparate source systems in order to make it available to business intelligence (BI) applications for analysis and data-driven decisions.
Benefits of Azure Data Factory for your business
- Automated data integration: With ADF, companies can automate data integration and delivery without having to invest heavily in hardware and software.
- Time and cost savings: Automating execution and management of data integration processes saves time and money.
- Better data quality: Centralised data management ensures higher data quality and consistency.
- Scalability and flexibility: Azure Data Factory is freely scalable and can be flexibly adapted to the needs of your company, regardless of the size or scope of the data volume.
- Self-service Business Intelligence (BI): ADF supports self-service BI by making it possible to quickly and easily integrate, clean and transform data from different sources for use in BI tools such as Power BI and Azure Analysis Services.
Azure Data Factory product features
Integrated connectors
Azure Data Factory provides over 90 built-in connectors to easily and automatically capture data from databases, cloud services and file systems, and organise it in data stores and data lakes.
Included connectors are Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database, Azure Cosmos DB, Amazon S3, Google BigQuery, Salesforce, Oracle Database, SAP HANA, MySQL, and many more.
Real-time data processing
Azure Data Factory enables real-time processing and analysis of data in the cloud or on edge devices - for example for IoT data processing, social media analysis and real-time data monitoring.
Data pipelines
With an intuitive user interface, you can create, orchestrate, monitor, and manage data pipelines. Visually monitor activity executions and receive proactive notifications when downstream or upstream issues occur.
Predefined Azure Data Factory pipelines are available to get you started quickly. These templates reduce the development effort required to create data integration projects, thereby improving developer productivity.
SSIS Cloud Migration
With Microsoft Azure Data Factory, Microsoft SQL Server Integration Services (SSIS) can be migrated to the cloud. Businesses can seamlessly integrate their existing SSIS packages and projects into Azure Data Factory and reap the benefits of the cloud, such as greater scalability and cost efficiency.
The easy-to-use SSIS Package Wizard allows easy import of SSIS projects into Azure Data Factory and automatic inheritance of settings and configurations. ISSIS packages can also be monitored in real-time to quickly identify and fix problems.
Integration with Azure services
Azure Data Factory integrates with a variety of other Azure services to create a comprehensive data integration solution. This includes:
- Azure Synapse Analytics for data extraction and loading into cloud data warehouses.
- Azure Blob Storage to store raw data or data used for ETL process.
- Azure Cosmos DB for integrating NoSQL data sources.
- Azure Databricks for processing data with Apache Spark.
- Azure Functions for creating custom trigger or action functions that can be run in the ETL process.
- Azure HDInsight for processing big data with Hadoop clusters.
- Azure Data Lake Storage for processing large amounts of data and storing intermediate results.
- Azure SQL Database for extracting and loading data into relational databases.
On-Demand Webinar Azure Data Factory
Data Warehouse with MS Azure Data Factory – or an On-Premise Solution?
In this webinar, we will show you a cloud-based data warehouse solution with Microsoft Azure Data Factory. Based on a use case, we will show you the advantages, the flexibility and the possible costs.
On-Demand Webinar: Data Warehouse with MS Azure Data Factory
