Microsoft Azure Data Services
Azure Data Services are a comprehensive suite of cloud-based services provided by Microsoft Azure to store, manage, and analyse data.
Azure Data Services provide a powerful, flexible, and secure platform for managing and analysing data. By leveraging these services, organisations can enhance their data capabilities, drive innovation, and make more informed decisions. Whether it’s for data warehousing, big data analytics, or AI and machine learning, Azure Data Services offer the tools and infrastructure needed to harness the full potential of data.
Get more value from your data at a lower cost.
Why use Microsoft Azure Data Services?
Organisations across the world are choosing Azure Data Services for a variety of reasons, driven by the need for robust, scalable, and secure data management solutions that support modern business requirements.
Easily scale resources up or down to meet changing data demands without worrying about physical infrastructure constraints.
Benefit from Azure’s advanced security features, including encryption, threat detection, and compliance with industry standards and regulations.
Optimise costs with a pay-as-you-go pricing model and reduce expenses associated with maintaining on-premises hardware and software.
Seamlessly integrate with other Azure services, Microsoft products, and third-party applications to create a cohesive data ecosystem.
Access cutting-edge technologies such as AI, machine learning, and real-time analytics to drive innovation and business growth.
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Benefits of Microsoft Azure Data Services
Azure Data Services offer numerous benefits that help organisations manage and utilise their data more effectively.
Enhanced performance:
high-performance data processing and storage solutions ensure fast query responses and real-time data analytics
Global reach:
Azure’s global network of data centres provide low-latency access to data from anywhere in the world
Reliability:
built-in high availability and disaster recovery features ensure continuous data access and protection against data loss
Flexibility:
support for various data types and formats, including structured, semi-structured, and unstructured data
Advanced analytics:
leverage advanced analytics tools and AI to transform raw data into actionable insights
Microsoft Azure Data Services use cases
Azure Data Services can be applied across a wide range of industries and scenarios, enabling organisations to address specific data needs and challenges.
Use Azure Synapse Analytics for large-scale data warehousing, enabling complex queries and real-time analytics on vast amounts of data
Utilise Azure HDInsight or Azure Databricks to process and analyse big data, uncovering trends and insights from massive datasets
Integrate with Azure Machine Learning to build, train, and deploy machine learning models, enhancing predictive analytics and automation
Employ Power BI with Azure Data Services to create interactive dashboards and reports, facilitating data-driven decision-making
Manage and analyse data from IoT devices using Azure IoT Hub and Azure Stream Analytics, enabling real-time monitoring and actionable insights
Use Azure Data Factory for seamless data integration and orchestration across multiple data sources and services, ensuring consistent and reliable data pipelines
Microsoft Azure Data Services FAQs
With Microsoft Azure, you can access services for many different data-related purposes, including common ones like file storage and relational databases, but also more specific ones, such as for text searching and time-series data.
The main Azure Data Services are broken into three key areas:
- Azure managed databases: create cloud-native apps or update existing apps with fully managed, scalable databases
- Cloud-scale analytics: develop transformative and secure analytics solutions and convert your data into timely insights at enterprise scale
- Azure AI: build essential solutions with reliable, secure, and ethical AI capabilities
Get in touch with us today
To find out how you can harness the power of your data, talk to our Azure Data Services Specialists today.
You can also email us at [email protected] or call 01904 562200 – whatever works best for you.
1 Performance, TCO, and price-performance claims based on data from a study commissioned by Microsoft and conducted by GigaOm in March 2021 for the Cloud Analytics Platform Total Cost of Ownership report. Analytics in Azure costs up to 59 percent less than other cloud providers according to the Cloud Analytics Platform Total Cost of Ownership report. Data is taken from Test-DS derived queries, and is based on query execution performance testing of 103 queries per vendor, conducted by GigaOm in March 2021; testing commissioned by Microsoft. The primary metric used was the aggregate total of the best execution times for each query. Three power runs were completed. Each of the 103 queries (99 plus part 2 for 4 queries) was executed three times in order (1, 2, 3, … 98, 99) against each vendor cloud platform, and the overall fastest of the three times was used as the performance metric. These best times were then added together to obtain the total aggregate execution time for the entire workload. Prices are based on publicly available US pricing as of March 2021. Actual performance and prices may vary.
2 Total Cost of Ownership, time-to-value and enterprise capability readiness claims based on data from a study commissioned by Microsoft and conducted by GigaOm in July 2021 for the Enterprise Readiness of Cloud MLOps report. Prices are based on publicly available US pricing as of July 2021. Actual performance and prices may vary.