The IT Leader's Guide to Multicloud Readiness
This guide provides practical key insights and important factors to consider to make informed decisions in your multicloud journey.
As far back as this year’s Ignite event, Microsoft has been mentioning “Cortana Analytics” by name. But at the first-ever Cortana Analytics Workshop in Redmond this past Sept 10 and 11, they unveiled a bigger offering and vision linking their current slate of cloud-based data platform tools.
It’s known that Microsoft has been using Big Data technology for Exabyte (EB) level storage and search internally for years; this is the story of Bing and building the data underpinnings of a major search engine. Hadoop-based cloud services like HDInsight and the ability to run Linux and Hortonworks HDP on Azure Virtual Machines have made their way to being a part of Microsoft’s offerings for some time now.
But with Cortana Analytics, Microsoft is democratizing this capability using Azure as a delivery platform, and realizing a much fuller vision that Azure and cloud technology now provide. To this back-end data storage backdrop, Microsoft is adding event capture and Internet of Things (IoT) capabilities, plus R-based statistical modeling services in order to provide some very compelling full data lifecycle analytics functionality.
Cortana Analytics refers to a cloud-based ecosystem hosted in Microsoft Azure for building and deploying elastic, scalable modern data warehousing and advanced analytics solutions. The entire data workflow — from event ingest/data capture, to data storage, to analytical processing and transformation, to modeling, to real-world deployment — is covered by a set of cloud-based services are intended to be combined to collect events and data and turn them into actionable intelligence, enabling human or automated action.
So, the Cortana Analytics Suite encompasses a set of these data-oriented Azure PaaS offerings, including:
- Azure Event Hub
- Azure Data Catalog
- Azure Data Factory
- Azure Data Lake
- Azure SQL Data Warehouse
- Azure Stream Analytics
- Azure HDInsight
- Azure Machine Learning
- Power BI
In upcoming posts, I’m going to break these services into functional groups, and try to place them in the context of a hypothetical solution. Next time: We’ll start the series proper with a discussion of Event and Data Ingestion and Storage in Cortana Analytics.