Analytics service that brings together data integration, enterprise data warehousing, and big data analytics.
Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics. It gives you the freedom to query data on your terms, using either serverless or dedicated options—at scale. Azure Synapse brings these worlds together with a unified experience to ingest, explore, prepare, transform, manage, and serve data for immediate BI and machine learning needs.
Azure Synapse supports limitless analytics for all data workloads. Data warehousing is one of them and is supported by:
VaultSpeed picks up metadata from any source and builds the integrated data model your business users need to create value from data. It seamlessly connects with Azure Synapse Analytics, and sends instructions to build the Synapse SQL procedures and create a Data Vault model that suits your needs.
The Data Vault model is delivered to Azure Synapse in the form of DDL statements, automatically deployed into your Synapse environment.
ETL can be delivered in multiple flavors. You could use an ETL tool such as Matillion or Talend. But you could also just deliver the ETL in the form of Synapse SQL procedures.
To land the data in Azure Synapse we integrate with most CDC tools, such as Matillion ETL or HVR. For file structures, you could use serverless SQL pool. For Kafka streams, you could integrate with our streaming solution on Databricks.
Use VaultSpeed’s flow management control (FMC) add-on module to ensure that all data pipelines are executed at the right time, in the right order.
Deploy and schedule your workflows in best-of-breed schedulers like Azure Data Factory or Apache Airflow.
First things first: to build data products, you need data. VaultSpeed helps you to get your data in the Azure cloud continuously.
Now you can build applications and run state-of-the-art analytics to help your business create new value or answer the complex end-to-end questions that drive better business decisions.
When specifications change, you only need to rebuild and reload your data in the analytics or application area, while the Data Vault layer safely collects and stores all the data you need.
Save your teams months of headache by automating the processes of multi-source data integration, Data Vault modeling and ETL/DDL code generation.