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Data In Cloud

Data In Cloud






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  • A very good afternoon Everyone,Its super cool to be here today amidst you & I’m indeed excited for this upcoming session.Well I hope this session, though on the last day of teched & post lunch, will keep you all on your toes and be excited on this as it does for me. Today in the morning, we saw some really interesting sessions – we saw basically an introduction to cloud computing, what is cloud, what is microsoft’s offering in this space. So moving on, on the cloud track, as the title reads we will look at the Data in the cloud
  • So with this, lets start with the very basic and standard slide of Microsoft’s cloud computing stack – Azure Service Platform!As you may recall, (well how many of you attended the previous session? )That we got introduced to this layer cake of services offered in the cloud. We were also able to map the fact that the bottommost layer, Windows Azure, provide operating system capabilities as services (u give foo.exe for it to execute, it figures out how , where to get this job done). Well we saw in detail about the compute capabilities of this operating system designed to run on many many servers(pulling out, pulling down Virtual machines, load balancing, resource allocating, etc). At this same layer, for an Operating system, just as Compute is a key task, storage is another fundamental need!So we have data storage as a service as a part of Windows AzureMoving up, the next layer is the Azure Services Platform layer, this layer we were told provided building block services to take away all the extra plumping, reinventing the wheel during scale etc etc… basically analogy to the Software frameworks that sit over your desktop OS, like SQL Server (manegement studio, Database), like .net framework (providing lot od libraries for identity services), like Sharepoint, CRM etc… these provide developer tools and ease of use!Here, we see a brightly painted “SQL Services” which by now you would have guess it as “Database on the cloud”
  • Importance of data: data is king. Someone once told me that data is like Air, its under covers, can go unnoticed by the numberof cool apps and technology, but it’s the heartbeat and fundamental and existent for all , each and every enterprise, ISV, vendor etc etc…2. What is this session about ? It’s a focus on persistent storage in the cloud! The cloud offering or the logical cloud computing stack can never be complete without addressing data issues. a) What do I mean by that ? Just as for every single enterprise, ISV, an developer, rather every application – a data store is mandatory and usually they have enrich capabilities bundled in the Data management studio like SQL server and its fairly a breeze to query, write sp, triggers and work on the data layer directly with the Database!So I guess, we have enough metaphors and similis! to highlight, re-emphasize the power , need importance of Data3.So net net this session will talk about storing your Data on the cloud! What are formats available – by this I mean (we are so used to RDBMS – relational data storage in rows and columns, or like in an operating system we have C:\\, D:\\ flat data storage, how else do u think data can be stored ? How about keep a bag of 100 boxes, each box has x, y , z number of items! I call this an entity store… how can I represent this data? Well we have all done number of theoretical data structures courses, which give to n, n+1 , user definied data structure or ADT (what we call abstract data types in terms of stacks, queues, hashes etc etc)… will we need this kind of storage on the cloud ?4. Highlighting the essence of Today’s talk : Offloading data outside your premise. Today, it’s a norm to have a gmail, hotmail personal id with all ur photos, emails, digital footprints on the web, and frankly we don’t feel like it a privacy breech, its kind of become the norm. Extending this, eventually in the best interest in distributed computation , access across the globe with least latency, costs involved, technology world is moving towards hardware consolidation, this will directly translates into having capabilities to have your data offloaded to a trusted datastore, have SLA, backup hazzle free, upgrades, and finally tools and developer framework for accessing, and working with the data.
  • Hence, in the next 60 mins, we will go through these two data storage concepts, see how different they are and what is the variety they have to offer.
  • If you would like to host your demo on the Virtual Server, please use the myVPC demo slide, not this slide.
  • If you would like to host your demo on the Virtual Server, please use the myVPC demo slide, not this slide.
  • If you would like to host your demo on the Virtual Server, please use the myVPC demo slide, not this slide.
  • If you would like to host your demo on the Virtual Server, please use the myVPC demo slide, not this slide.
  • Why sds,When,Scenario? Value propOn prem – sds advantagesSecurity of data ?How secure at store, on wire?Sds compromised (sla)Can I connect ipsec, ssl, (live id)Access restrictions – Ease of migration from on premise to cloud ?

Data In Cloud Data In Cloud Presentation Transcript