Microsoft Azure Analytics offers a comprehensive suite of solutions designed to store and analyze your data sets with unparalleled accuracy and performance, delivering vital business insights. It stands out from other cloud providers by being 14 times faster and reducing costs by up to 94%.
One of Azure Analytics' defining features is its exceptional performance. This is attributed to its MPP engine, built on a relational engine in SQL server, and reinforced by enterprise-grade hardware. The platform is adept at extracting valuable insights from both relational and non-relational data, accommodating diverse workloads and users. Moreover, it scales seamlessly with your expanding data needs.
At Cambay, we utilize Azure Analytics to its full potential. We extract real-time insights from IoT devices, employ robust cloud-based analytics with Azure Machine Learning, handle live data streams using Stream Analytics, deploy big data strategies with HDInsight, and utilize Power BI for enhanced data visualizations and dashboards.
Our expertise includes:
Unlock vital business insights from your data sets and craft artificial intelligence (AI) solutions with the power of our Azure analytics platform. Get started swiftly in the Apache Spark™ environment, all set up in just minutes.
The platform facilitates seamless integration with open-source libraries, fostering a shared, interactive workspace that enhances productivity. Plus, modernize your warehouse in the data cloud for unmatched scalability.
Effortlessly manage your mission-critical workloads and deliver real-time insights. In just a few clicks, establish a robust, serverless streaming data pipeline capable of analyzing millions of IoT devices with sub-second latencies. Enhanced with built-in machine learning (ML) capabilities for advanced scenarios, you're assured of enterprise-grade reliability.
By merging enterprise data warehousing with Big Data analytics, this solution provides the flexibility to choose between serverless on-demand or provisioned resources, allowing you to query data as needed. Additionally, it offers a cohesive experience to prepare, manage, and deliver data for immediate BI and ML needs.
Introducing an on-demand, pay-per-job analytics service designed to demystify big data and fuel intelligent actions. With no infrastructure management required, you have the freedom to process data on your terms, effortlessly scale, and only pay for the jobs you run. Virtualizing your analytics, as well as debugging and optimizing big data programs, becomes a breeze.
Data Lake Analytics empowers you to run parallel data transformation and processing programs across vast data sets, utilizing languages such as Python, SQL, R, and .NET.
Introducing a hybrid data integration service that streamlines and automates large-scale data transformation. This not only enhances productivity but also shortens the time to market, making data integration both quick and cost-effective. The result? Significant reductions in overhead costs.
Azure Data Factory excels in this domain by leveraging pre-built connectors. These ensure robust data transfer by fully utilizing the underlying network bandwidth. For added assurance, Azure Data Factory holds certifications from HIPAA, HITECH, ISO/IEC 27001, ISO/IEC 27018, and CSA STAR, underscoring its commitment to compliance and security.
Azure Data Lake Storage Gen2 is a fully managed, scalable, and secure file system designed for the cloud. It's equipped to store and analyze vast data sets and objects, and allows for easy building, debugging, and optimization of intensive parallel programs.
Beyond its design for the cloud, Azure Data Lake offers enterprise-grade security and support. Incorporating Blob storage capabilities, it ensures optimal performance, durability, and is tailored for advanced analytics workloads. Additionally, Azure Data Lake seamlessly exchanges data with key business applications such as Microsoft Dynamics 365 and Power BI.
A fully managed cloud Hadoop and Spark service that helps you easily get started in your favorite development environment. It integrates seamlessly with other Azure services and is adept at spinning big data clusters so that you only pay for what you use.
HDInsight handles petabytes of structured and unstructured data without any hardware or installation cost and allows deployment of projects using Spark, Kafka, and Hadoop.