Harness analytical and predictive power with Azure Synapse Analytics

Rohan Kumar Corporate Vice President, Azure Data

 

Since its preview announcement, we’ve witnessed incredible excitement and adoption of Azure Synapse from our customers and partners. We want to sincerely thank everyone that provided feedback and are now helping us bring the power of limitless analytics to all.

As announced last week, Azure Synapse is now generally available.

Azure Synapse brings together data integration, enterprise data warehousing, and big data analytics—at cloud scale. The unification of these workloads enables organizations to massively reduce their end-to-end development time and accelerate time to insight. It now also provides both no-code and code-first experiences for critical tasks such as data ingestion, preparation, and transformation.

With this release, the management and monitoring of your analytics system becomes significantly easier. With one click, teams can secure their entire analytics system and prevent data exfiltration by simply selecting the managed virtual network feature when creating a Synapse workspace. This gives valuable time back to teams hired to discover insights—rather than investing considerable time securing connections between services, building firewalls, or managing subnets.

Over the past years, we’ve set out to rearchitect and create the next generation of query processing engine and data management to meet the needs of the modern, high-scale data workloads. The result is the new, cloud-native, distributed SQL engine that powers Azure Synapse. It can scale from queries on a handful of cores to thousands of nodes—all depending on your workload needs.

Azure Synapse enables a level of productivity and collaboration among data professionals that previously wasn’t possible by deeply integrating Apache Spark and its new SQL engine. And it supports popular languages that developers prefer including T-SQL, Python, Scala, and Java.

The new flexible service model for query processing allows data teams to use both serverless and dedicated options. Organizations can now choose the most cost-effective option for each use case—enjoying the advantages of a data lake for quick data exploration with pay-per-query pricing and/or a dedicated data warehouse for more predictable and mission-critical workloads.

“Azure Synapse was a game changer as it allowed us to deliver a big data solution at the scale required and the integration with Power BI empowered our analysts to do their work efficiently.”

—Adhi Utama, Data Solution Architect, Grab