Azure Databricks – analytics platform based on Apache Spark that allows for
fast acceleration of AI and big data solutions. Collaboration on shared projects is
simple and support is built-in for Python, R, Scala, SQL, along with libraries like
PyTorch, TensorFlow and Scikit-Learn. Integration with Azure AD allows you to
build a modern data warehouse.
Stream Analytics – develop and run parallel analytics in real-time on several
IoT and non-IoT data streams. Use a simple language similar to SQL and custom
code when your scenarios are more advanced; no infrastructure management
means on-demand data processing, instant scaling and paying per job.
SQL Data Warehouse – use a fully managed data warehouse in the cloud to
unlock new data insights. Elastic scaling of resources, unlimited storage, built-in
auditing, threat detection and automated administration are all included and you
can easily integrate with other Azure services to build one modern data
warehouse.
HDInsight – run open-source frameworks like Spark, Apache Hadoop and
Kafka to process huge data amounts quickly. Set up clusters of big data on
demand, scale as needed and pay for what you use – no more.
Data Factory – create data integration at enterprise scale, schedule and
manage it with a hybrid data integration service. Work with your data where it is
on-site or in the cloud with full security and take advantage of 70+ data source
connectors to accelerate integration projects. Lift and shift SQL Server
Integration Services packages to Azure and increase productivity, lowering total
cost of ownership.
Data Lake Analytics – process even the largest of big data projects in just
seconds; no infrastructure, no servers, clusters or virtual machines to work about.
Processing power can be scaled instantly up to thousands of Data lake Analytic
Units per job and you pay only for the processing you use.
Event Hubs – real-time, fully managed data ingestion. A simple service, trusted
and fully scalable, allowing you to stream millions of events every second from
any source. Build dynamic pipelines for data, respond to challenges instantly and
use the geo-replication and geo-disaster recovery features to continue processing
during emergencies.
Power BI Embedded – allows you to embed data visualizations, interactive,
into your apps. Minimize development effort, create your visuals for free, access
SDKs and API libraries, and gain valuable insights from anywhere.
Azure Analysis Services - Azure Resource Manager helps you to create an
Analysis Service instance in seconds and to move your models to Azure Analysis
Services to gain the flexibility, scale and other benefits of the cloud. Combine
multiple data sources into one BI semantic model with a simplified data view and
reduce the time to insights on the large datasets. Control access to data models
and release solutions securely.
