Microsoft and Hortonworks have come together to help companies by offering the big data analytics platform on the Azure cloud service. Organizations can now experience the complete capabilities of a high-powered, fully managed cloud service environment powered by Apache™ Hadoop®, Apache Spark using Microsoft Azure HDInsight. Accelerate all your workloads seamlessly with Microsoft and Hortonworks’ industry-leading big data cloud service.
Azure HDInsight was designed to make Hadoop and Spark simple with lower manageability costs and higher developer productivity. Customers have seen a 63% lower Total Cost of Ownership (TCO) and 66% higher IT staff efficiencies by deploying on the big data cloud service Azure HDInsight over on-premises Hadoop deployments. It is also the only managed cloud Hadoop offering using Hortonworks, the industry leading Hadoop distribution.
Get Started with HDInsight for FREE
Rapidly start your big data analytics initiative on the Azure cloud service using rich productivity suites for Hadoop and Spark with your preferred development environment such as Visual Studio, Eclipse, and IntelliJ for Scala, Python, R, Java, and .Net support. Data scientists gain the ability to combine code, statistical equations, and visualizations to tell a story about their data through integration with the two most popular notebooks, Jupyter and Zeppelin.
WITH AZURE HDINSIGHT, USERS GET THE FOLLOWING CORE BENEFITS:
Backed by a 99.9% SLA
Automatic replication of data
Azure is available in 24 regions, 140 countries around the world, making HDInsight available in more data center regions than any other Hadoop big data cloud service provider
EASY FOR EVERYONE
Easy for administrators: as a managed cloud service, it is deployed in minutes, needs minimal resources for maintenance
Easy for developers: provides deep Visual Studio Integration and IntelliJ Integration
Easy for data scientists: supports out-of-the-box notebook integration using Jupyter
Recognized as a leader in the Forrester Hadoop Cloud Wave
Powered by Hortonworks, the leading contributor to Apache Hadoop
Ensures Microsoft is more qualified to support your deployment through expert technical assistance and the ability to fix and commit code back to open source
Control and flexibility of on-premise with cloud scale
Easy interoperable from an on-premise and cloud
Same code base on-premise and in the cloud, allowing users to move applications easily
 Marden, Matthew and Olofson, Carl (IDC). The Business Value and TCO Advantage of Apache Hadoop in the Cloud with Microsoft Azure HDInsight (International Data Corporation [IDC], Framingham, MA), 2015.
Click the sections below to explore how companies in retail, manufacturing, financial services can unlock new insights and efficiencies with Microsoft Azure HDInsight.
Today’s merchants are challenged to understand and direct the shopping experience. With big data collection, storage, analysis, and automation, retailers can deliver high-value customer interactions every time. Learn how to optimize insights from data and solve tough challenges, such as:
Product, pricing, promotions
Data collection and security
Hortonworks and Microsoft can improve customer satisfaction and store performance with advances in data management solutions. Find out more:
Today’s complex, fast-changing business environment requires manufacturers to pivot quickly to achieve optimal profitability, outperform the competition, and deliver the best possible customer value. Learn how optimize insights from data and solve tough challenges such as:
Global, unpredictable competition
Increasingly complex supply chains
Shorter product innovation cycles
Hortonworks and Microsoft can increase productivity, efficiency, and customer satisfaction with powerful, scalable big data management and analytics solutions. Find out more:
As competitive pressures grow and the pace of change accelerates, financial services providers need tools to make better decisions in less time and target customer needs with pinpoint accuracy. Learn how optimize insights from data and solve tough challenges such as:
Market transformation – mobile technology and social media
Increasing risk with financial cybercrime
Data friction – fragmented data resources by lines of business, and traditional data warehouses
Hortonworks and Microsoft can differentiate offerings and prevent fraud with big data analytics. Find out more:
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