We built Azure Data Lake Analytics from the ground up for cloud scale and performance. Data Lake Analytics makes the complex task of managing distributed infrastructure and complex code easy. It dynamically provisions resources and lets you do analytics on exabytes of data. When the job completes, it winds down resources automatically, and you pay only for the processing power used. As you increase or decrease the size of data stored or the amount of compute used, you don’t have to rewrite code. This lets you focus on your business logic only and not on how to process and store large datasets. It also takes away the complexities normally associated with big data in the cloud and ensures that Data Lake will meet your current and future business needs.
Finding the right tools to design and tune your big data queries can be difficult. Data Lake Analytics makes it easy through deep integration with Visual Studio, so that you can use familiar tools to run, debug, and tune your code. Visualizations of your U-SQL jobs let you see how your code runs at scale. This helps you identify performance bottlenecks and optimize costs, making it easier to tune your queries. Data Lake Analytics makes it simple to author your first query and continues to enable you to be productive as an advanced big data developer during all stages of the development lifecycle.
One of the top adoption challenges of big data technologies is obtaining the skills and capabilities needed to be productive. With Data Lake Analytics, use U-SQL, a query language that blends the declarative nature of SQL with the expressive power of C#. The U-SQL language is built on the same distributed runtime that powers the big data systems inside Microsoft. Millions of SQL and .NET developers can now process and analyze all of their data using skills they already have.
We address the challenge of big data integration by making sure that Data Lake Analytics can use your existing IT investments for identity, management, security, and data warehousing. This simplifies data governance and makes it easy to extend your data applications. Out of the box, Data Lake Analytics is integrated with Active Directory for user management and permissions and includes web-based and programmatic tools for management and monitoring. Data Lake Analytics is also a key part of Cortana Analytics Suite and works with Azure SQL Data Warehouse, Power BI, and Data Factory. This gives you a complete cloud big data and advanced analytics platform to help you with everything from preparing data to doing interactive analytics on large-scale datasets. Finally, because Data Lake Analytics is in Azure, you can connect to any data generated by applications or ingested by devices in Internet of Things (IoT) scenarios.
Data Lake Analytics is a cost-effective solution for running big data workloads. You pay on a per-job basis when data is processed. No hardware, licenses, or service-specific support agreements are required. The system automatically scales up or down as the job starts and completes, meaning that you never pay for more than you need. Data Lake Analytics also lets you independently scale storage and compute, providing more economic flexibility than traditional big data solutions. Finally, it minimizes the need to hire a specialized operations team, as typically required for running a big data infrastructure. Data Lake Analytics minimizes your costs while maximizing the return on your data investment.
Data Lake Analytics is fully managed and supported by Microsoft, backed by an enterprise-grade SLA and support at general availability. Contact our 24/7 customer support team to address any challenges that you face with your entire big data solution. Our team monitors your deployment so that you don’t have to, guaranteeing that it runs continuously. This ensures that you’re ready to meet the demands of your mission-critical deployments.
