Cortana Analytics is a fully managed big data and advanced analytics suite that helps you transform your data into intelligent action. Come to this two-part session to learn how you can do "big data" processing and storage in Cortana Analytics. In the first part, we will provide an overview of the processing and storage services. We will then talk about the patterns and use cases which make up most big data solutions. In the second part, we will go hands-on, showing you how to get started today with writing batch/interactive queries, real-time stream processing, or NoSQL transactions all over the same repository of data. Crunch petabytes of data by scaling out your computation power to any sized cluster. Store any amount of unstructured data in its native format with no limits to file or account size. All of this can be done with no hardware to acquire or maintain and minimal time to setup giving you the value of "big data" within minutes.
When building solutions for the Cloud it is critical to understand that every architecture decision has even more impacts than before as a bad code might get you out of business. For this reason in this session we will be focusing on:
Breaking down the baseline concepts of Cloud design
Defining the critical considerations which we should have when designing new Cloud solutions
Looking at Architectural Patterns which can help us succeed in this space, like Microservices, CQRS and Event Sourcing
Looking at real life examples of Azure Cloud Architectures, the trade-offs and results
Lessons Learned Building Azure Solutions
The key goal of this session is to create awareness of what considerations, architectural patterns and trade-offs should be done in order to have successful Cloud solutions and even more specific to Azure solutions.