There is unlimited potential for companies to embrace data as a competitive advantage for their business. One of the ways organisations can leverage their data is through data analytics.
When it comes to analytics, Azure provides the best price, performance, security, and privacy, as well as a system that can easily deliver powerful insights across the organisation. Additionally, without limitations on concurrency, employees can get their insights in seconds from all their enterprise data, through beautiful Power BI visualizations. Analytics in Azure makes insights accessible to everyone in your organization.
Azure Data Factory is a hybrid data integration service for developing scalable extract/transform/load and extract/load/transform (ETL/ELT) data pipelines. With Data Factory, cloud-scale data integration can now be done through an intuitive visual environment and with no code. Data Factory makes ETL/ELT more efficient for developers, and more accessible for data scientists and data analysts, bringing data sources and data types together for simpler and faster insights.
Azure Data Factory now features visual data transformation with Mapping Data Flows, available in preview. With a few clicks, users can focus on building their data models rather than writing and maintaining code. Mapping Data Flows is powered by Azure Databricks and provides the same processing power and scale as the code-based approach directly in Azure Databricks. Azure Data Factory supports Python, .NET, and ARM for those developers that prefer to code.
Data Factory also makes it easy to move existing SSIS ETL to the cloud without any redevelopment, saving substantial time and money. Only Azure offers this truly hybrid capability.
Microsoft have also recently announced support for semi-structured data in Azure SQL Data Warehouse, available in preview. Now with one service, both structured and semi-structured data formats (like JSON) can now be analyzed directly from the data warehouse for faster insights. SQL Data Warehouse retains it’s industry-leading speed and performance and these innovations only further enable this vision.
Result-set Caching enables queries that have been previously ran to be immediately available to subsequent users thus reducing any lags in reports. Materialized Views allows SQL Data Warehouse to automatically rewrite user queries to leverage deployed query results, leading to significantly improved query performance.
Azure for your data and analytics has everything required to meet your needs for today and tomorrow. Continuous innovations in this area mean that your data can grow with you.
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This assessment will evaluate your current data platform to streamline your platform through an architectural plan, a data optimisation strategy, and an adoption roadmap to drive business insights through Azure Data Services.
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