Modern data warehouse
Leverage SQL Data Warehouse with Azure Analysis Services to create the scale what you require with the performance you need. This architecture also comes with resource isolation and advance security features.
Advanced analytics for big data
Integrate your on-premises and cloud data applications to your enterprise data warehouse using Azure Data Factory. Choose from the leading open-source solutions, including Azure Databricks for Apache Spark and Azure HDInsight for Apache Hadoop, Spark and Kafka. Process unstructured data and load terabytes of results to SQL Data Warehouse using PolyBase. Use Azure Machine Learning to write algorithms and run them on-premises or in the cloud.
Secure data continuously from any IoT device or from website clickstream logs using Apache Kafka for HDInsight or Azure IoT Hub. Process data in real time using leading open-source solutions, including Azure Databricks for Apache Spark and Azure HDInsight for Apache Hadoop, Spark and Kafka. Easily adjust the frequency of your microbatching with Azure Event Grid, which sends an event to SQL Data Warehouse to load processed data using PolyBase.
Distributed data hub for BI
Use hub-and-spoke architecture to achieve the scale you want at the price and performance level you choose. This architecture also provides resource isolation and advanced security features.
Data mart consolidation
Consolidate multiple databases into an enterprise data warehouse to eliminate multiple silos making the appropriate insights accessible across your organisation.
On-premises data warehouse migration
Migrate your traditional workloads to SQL Data Warehouse to optimize your data, maintain legacy applications and create new use cases by incorporating unstructured data.