Microsoft Azure Data Lake Services
Migrate Infrastructure to the Cloud
Intelisense IT assists organisations in leveraging the capabilities of Microsoft Azure Data Lake. A hyperscale data repository designed for large-scale analytics, including machine learning applications and equipped with real-time analytics functionality. Whether your requirements involve real-time reporting, advanced machine learning models, or processing large data queries, Azure Data Lake offers the speed and flexibility necessary to meet evolving business and data objectives. Our specialists streamline integration with existing systems while establishing scalable, future-ready data architectures tailored to organisational growth.
Service Details
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Azure Data Lake Storage Gen2
Azure Data Lake Storage Gen2 is a secure, highly scalable data storage that combines the capabilities of Azure Blob Storage with a hierarchical namespace. The hierarchical namespace supports efficient data organisation and quicker access, particularly for large data workloads. With native security features like encryption, role-based access control and integration with Azure Active Directory, Gen2 provides enterprise security for sensitive information.
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Data Lake Analytics
Azure Data Lake Analytics is a pay-as-you-go analytics service that allows you to process large-scale data sets with convenience languages such as U-SQL, Python and R. Involving no infrastructure management; users write queries and only get charged for consumed compute resources during execution. It's that simple. It is ideal for executing complex analytical jobs, reducing raw data to usable insight and scaling horizontally with growing data.
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Azure Synapse & Power BI Integration
Azure Data Lake natively supports Azure Synapse Analytics and Power BI, supporting end-to-end data workflows from data ingestion and storage through analysis and visualisation. Data can be queried in the lake directly in SQL or Spark via Synapse or rich, interactive dashboards and reports via Power BI. This convergence allows organisations to perform advanced analytics, run machine learning models and make data-driven decisions from a single platform.
Benefits
- Structured and unstructured data are facilitated through Azure Data Lake and through it, businesses can store items from logs and documents to images and videos in one repository.
- Role-based access control and support from Azure Active Directory provide for flexibility in terms of being able to let teams work on data initiatives securely but still be able to exert governance and control.
- Azure Data Lake offers pay-for-what-you-use billing and you only pay for used compute and storage, making it cost-effective for businesses of all sizes.
- Azure Data Lake offers support for integration with services like Azure Data Factory and Event Hubs to ingest data from numerous sources at high velocity and process in real time for analytics and reporting.
