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When to use Azure Synapse Analytics?

by Spanish Point - Apr 7, 2021
When to use Azure Synapse Analytics?

Today, businesses are forced to maintain two types of analytical systems, data warehouses and data lakes. Data warehouses provide critical insights on business health, while Data lakes can uncover important signals on customers, products, employees, and processes. Both are critical, yet operate independently of one another, which can lead to uninformed decisions.

At the same time, businesses need to unlock insights from all their data to stay competitive and fuel innovation with purpose. Can a single cloud analytics service bridge this gap and enable the agility that businesses demand?

Azure Synapse Analytics

Azure Synapse analytics brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. Giving you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Across all organisations and industries, the common use cases for Azure Synapse Analytics are identified by the need for:

Modern data warehousing: This involves the ability to integrate all data, including big data, to reason over data for analytics and reporting purposes from a descriptive analytics perspective, independent of its location or structure.

Advanced analytics: Enables organisations to perform predictive analytics using both the native features of Azure Synapse Analytics, and integrating with other technologies such as Azure Databricks.

Data exploration and discovery: The serverless SQL pool functionality provided by Azure Synapse Analytics enables Data Analysts, Data Engineers, and Data scientists alike to explore the data within your data estate. This capability supports data discovery, diagnostic analytics, and exploratory data analysis.

Real time analytics: Azure Synapse Analytics can capture, store, and analyse data in real-time or near-real time with features such as Azure Synapse Link, or through the integration of services such as Azure Stream Analytics and Azure Data Explorer.

Data integration: Azure Synapse Pipelines enables you to ingest, prepare, model, and serve the data to be used by downstream systems. This can be used by components of Azure Synapse Analytics exclusively.


It can also interact with existing Azure services that you may already have in place for your existing analytical solutions.


Integrated analytics: With the variety of analytics that can be performed on the data at your disposal, putting together the services in a cohesive solution can be a complex operation. Azure Synapse Analytics removes this complexity by integrating the analytics landscape into one service. That way you can spend more time working with the data to bring business benefit, than spending much of your time provisioning and maintaining multiple systems to achieve the same outcomes.

Prioritizing data and analytics is critical to building business agility and resilience for the future. Organisations need to have a clear view of their business performance in real-time so that they can continually adapt and seize any potential opportunity. Empowering your team with the right tools is critical to ensure that they can collaborate, discover, and innovate. 

At Spanish Point we have expert engineers that can guide you and your team to take advantage of the different Microsoft Azure capabilities. If you’re interested in how Azure Synapse could help you, please contact us today!