Big Data Expo 2015 - Microsoft Transform you data into intelligent action
- 8. Fully managed service to support orchestration of data movement and processing Connect to relational or non-relational data that is on-premises or in the cloud Single pane of glass to monitor and manage data processing pipelines. Publish to Power BI Compose and orchestrate data services at scale Microsoft Confidential – Under Strict NDA C# MapReduce Trusted data BI & analytics Hive Pig Stored Procedures Azure Machine Learning
- 9. Elastic scale and performance • Scales to petabytes of data • Massively Parallel Processing • Instant-on compute scales in seconds • Query Relational / Non-Relational Powered by the cloud • Get started in minutes • Integrated with Azure ML, PowerBI & ADF Market Leading Price & Performance • Simple billing compute & storage • Pay for what you need, when you need it with dynamic pause Elastic cloud data warehouse with proven SQL Server capabilities
- 10. Store any data in its native format without prior transformation Hadoop Distributed File System (HDFS) For The Cloud Enterprise grade security, availability and durability Optimized for massive throughput - No limits on file and account sizes A hyper scale repository for big data analytics workloads HDInsight
- 11. { } schema free query Relational and hierarchical query of application defined JSON data. Support for SQL queries with transforms, projections and inline evaluation of user defined JavaScript functions (UDFs). Automatic and consistent indexing of all properties. JavaScript as a modern T-SQL Transactional execution of application defined stored procedures and triggers directly against database collections. Native JavaScript support eliminating the impedance mismatch (ORM) between application and database schema. tunable consistency Well defined consistency levels to achieve optimal tradeoff between consistency and performance. Four distinct consistency levels for queries and read – Strong, Bounded-Staleness, Session and Eventual. Granular control over consistency, availability and latency fully managed Simple to provision and access databases without managing VM or cluster infrastructure. Operated with high availability and automatically backed up to prevent against regional failures.
- 13. ML Algorithms are best of breed and embrace OSS • MS + R + Python + BYOA ML Studio for productive development • Faster experiments results in faster improvements • Visual Workflows & ML Experiments at Cloud Scale ML Operationalization to remove deployment friction • Build entire ML Apps & Deploy as Cloud APIs ML Applications Marketplace • Provide ML applications like apps in an ‘app store’ • Publish/consume APIs in a 2 sided market Help organizations eliminate undifferentiated heavy lifting Powerful predictive analytics in Azure Azure Machine Learning
- 14. Process real-time data in Azure using a simple SQL language Consumes millions of real-time events from Event Hub collected from devices, sensors, infrastructure, and applications Performs time-sensitive analysis using SQL-like language against multiple real-time streams and reference data Outputs to persistent stores, dashboards or back to devices Point of Service Devices Self Checkout Stations Kiosks Smart Phones Slates/ Tablets PCs/ Laptops Servers Digital Signs Diagnostic EquipmentRemote Medical Monitors Logic Controllers Specialized DevicesThin Clients Handhelds Security POS Terminals Automation Devices Vending Machines Kinect ATM
- 15. Provides a real-time view of your business operations Direct connections to on-premise data supporting Hybrid scenarios Native iOS, Android and Windows mobile apps “Out of the box” reports for a growing list of SaaS services empowering the end users Natively integrated with Microsoft applications, services and data platform A “single pane of glass” to view of the operation of your business . .
- 16. Advanced algorithms for vision and speech Perceptual Intelligence Face APIs Speech APIs Computer Vision APIs Language Understanding Intelligent Srevice (LUIS)