70 534 Architecting Microsoft Azure Solutions
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Architecting Microsoft Azure Solutions Exam", also known as 70-534 exam, is a Microsoft certification exam.http://www.pass4sureexam.co/70-534.html
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70 534 Architecting Microsoft Azure Solutions
- 1. Architecting Microsoft Azure Solutions
- 4. Architecture Time until next coffee 55:00 30 minutes 30 minutes 30 minutes 15 minutes 15 minutes http://www.Microsoft.com
- 8. Microsoft On The Internet Global Foundation Services
- 9. The Microsoft Cloud ~Globally Distributed Data Centers Quincy, WA Chicago, IL San Antonio, TX Dublin, Ireland Generation 4 DCs
- 10. Inside a Microsoft Data Center
- 26. Your existing development team can immediately realise value The frameworks facilitate deterministic testing for highly reliable queries Complex logic is best expressed in programmatic form
- 28. HDInsight in Azure 123456 4712
- 37. Batch Interactive Real Time Hadoop SQL / MySQL Storm Spark Hadoop 2 / Tez / Drill Spark Lucene Mongo Cassandra Windows Azure Table Storage Spark
Editor's Notes
- Hi, Andy Cross, MVP in Windows Azure. Work at elastacloud and we are Azure Circle partners.
- Read the slide.
- Key Points: The Cloud is Here – this is what it’s all about: Attributes: Pooled Resources, Self Service, Elastic, Usage Based Benefits: Focus, Agility, Economics Talk Track: Today, cloud computing is changing the very definition of IT. And so the conversation needs to change as well. Yesterday, the conversation was about consolidation and cost. Today, the conversation is about the new breed of benefits that cloud computing delivers. It’s all about transforming the way IT serves your business by harnessing a new breed of power. Microsoft is the only company that brings all of the pieces together in an integrated, comprehensive way. With our long-term vision to change the world through computing, we help every customer transform the datacenter of today into the private cloud of tomorrow, with a pathway to the public cloud and beyond. With that said – cloud computing is the on-demand delivery of applications as standardized IT services, and inherently has four key attributes: Pooled Resources: As I mentioned earlier, we often hear that cloud computing is just big virt. It’s not. Cloud Computing uses virtualization but it adds significantly to virtualization. It pools those resources together and allows you to dynamically provision and scale applications. Self Service: Once you pool your resource, Cloud Computing provides a self service way for the business to get at those resources or more specifically by providing self-service IT infrastructure to business units and departments with an SLA. This forces service-level discussion and removes the burden to procure, provision and manage infrastructure on a per application, ad-hoc basis Elastic – Scale up (or scale down) dynamically as resource needs change, enabling faster delivery of capacity. Usage Based – Paying for only what you use, when you need to use it I am sure just hearing the attributes the benefits are crystalizing for each of you but I do want to spend a few minutes talking about the biggest benefits from our perspective: Focus: This is about having more people able to focus on higher-level parts of the stack, managing those applications SLAs, rolling out new applications, not having to worry about the underlying infrastructure Agility: This is not only about being able to deliver the applications more quickly to your users and to your customers, but also being able to respond to changes in demand. So, the next time the marketing department launches a campaign, doesn't tell anybody, your public website is underwater, it's very easy to scale that out quickly to meet that demand. Economics: Because you're running multiple workloads on the same overall infrastructure, you get better utilization across those applications. And because the Cloud pools together these resources, you can buy broader sets of resources at one time, lowering the overall cost. So, for agility and focus and economics, you have great motivation to move to the Cloud, and those benefits accrue to both public and to private Cloud Computing.
- First let’s talk about the transformation that's actually happening within IT. Goal of this slide Frames the enterprise cloud computing conversation by highlighting the evolution from traditional to cloud computing models. Define industry taxonomy around IaaS and PaaS. Talking Points: If you're in the infrastructure as a service layer (IaaS), you're thinking about your datacenter as a set of pooled virtual resources (including compute, network and storage), not in terms of individual hosts or VMs. That said, you still have to manage the virtual infrastructure, operating system and the full application stack. When you're in the platform as a service layer (PaaS), you're talking about building applications which will then be delivered as a service – the platform providing all the required building blocks for your app. You don’t have to worry about the underlying infrastructure, operating systems or the application platform infrastructure. You can focus all your energies on your applications. With Windows Azure with primarily offer PaaS but are moving towards robust IaaS capabilities (more to come in this presentation with the Roadmap) A couple of data points from internal Microsoft research: 41% of our customers are using services across on premise and public clouds 80% of our customers over next 3 to 5 years will use hybrid models
- Speaking Points: This is a small sampling .. We’ve talked about a few of these building block services. In addition to Database, Storage, Caching, Messaging, and Identity… Big data - We also have services for managing big data… Traffic Manager - … Media Services - … Provides a managed service that allows you to create, manage, and distribute media. You can target any type of device We’ll provide full analtyics on top of it. CDN – A content delivery network for putting your content closer to end users. We’ll drill into more details on several of these services later today and You will see this list grow in the months and weeks ahead
- At the risk of repeating a slide … HDInsight provides a Platform as a Service in that it provides infrastructure and capacity for your own variant computing requirements. It is not IaaS as you do not have to manage configuration or OS level integrity. It is not SaaS since the workload is variant and user specified
- Globally largest Hadoop deployment! ASOS had an urgent audit need to gain insight over a particular set of web data comprising over 40 billion rows of data. Traditional technology would not have been able to perform this query and the technology lifecycle from a standing start to provisioning hundreds of servers and calculating the result allows this audit requirement to be handled in within an intensely time pressured environment. The Technology ENABLES previously impossible audit and compliance analytics.
- With ASOS’s Buy the Look functionality, traditional BI tools have proven ineffective at calculating business value from the new website functionality. They could track the number of direct purchases from the new functionality but the new Big Data tooling with a sequential analysis approach allows ASOS to calculate who engaged with the Buy the Look functionality but then waited to purchase on their pay day
- Microsoft’s technology leadership in this area takes best of breed technology from industry and makes it enterprise ready. Furthermore, Microsoft has brought the ability to reuse existing IT skill on a new big data platform. The code for expressing this logic is has a shallow learning curve for experienced Microsoft .net developers.
- The “burst” provisioning of data technologies for a duration that encapsulates the uptime of a certain query alone allows for the consideration of “the commoditised query” where very well understood costs can be weighed against business benefits in a profit centre within a business – liberating the previous sunk cost of BI technology.
- Convert the Name to a Private name identifier, use a VPN to transmit the data to Windows Azure, Cloud service assembles into blobs HDInsight works with anonymised data only Data sits at rest in the cloud with no possibility of sensitive data leak
- The power of provisioning this number of machines is near linear scalability – enabling the much larger tasks to be tackled in the cloud.
- With ASOS’s Buy the Look functionality, traditional BI tools have proven ineffective at calculating business value from the new website functionality. They could track the number of direct purchases from the new functionality but the new Big Data tooling with a sequential analysis approach allows ASOS to calculate who engaged with the Buy the Look functionality but then waited to purchase on their pay day
- With ASOS’s Buy the Look functionality, traditional BI tools have proven ineffective at calculating business value from the new website functionality. They could track the number of direct purchases from the new functionality but the new Big Data tooling with a sequential analysis approach allows ASOS to calculate who engaged with the Buy the Look functionality but then waited to purchase on their pay day
- With ASOS’s Buy the Look functionality, traditional BI tools have proven ineffective at calculating business value from the new website functionality. They could track the number of direct purchases from the new functionality but the new Big Data tooling with a sequential analysis approach allows ASOS to calculate who engaged with the Buy the Look functionality but then waited to purchase on their pay day