Microsoft Azure at 360*
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Fundamentals of Cloud Computing Fundamentals of Cloud Service Offering Fundamentals of Azure Subscription Public vs Private vs Hybrid Success Story: Why SPS choose Azure Data Warehouses Start your Azure Journey Azure Learning Path Q&A
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Microsoft Azure at 360*
- 3. • Fundamentals of Cloud Computing • Fundamentals of Cloud Service Offering • Fundamentals of Azure Subscription • Public vs Private vs Hybrid • Success Story: Why SPS choose Azure Data Warehouses • Start your Azure Journey • Azure Learning Path • Q&A AGENDA
- 4. Legacy Technologies DevOps Security Approaches and Technology Design
- 6. On-Prem Infrastructure You manage and own Everything Software Hardware Networking Security
- 7. Private Cloud Almost an ‘On-Prem’ Cloud Experience Portal based environment Stored in a Private Data Center Infrastructure is hidden from users Almost same responsibility to On-Prem Example: System Center 2012
- 8. Public Cloud Cloud Vendor Responsible for “Most” Tasks Uses a “Leasing” Model Pay as you use New deployments done very quickly at low cost Reduce Capital Expense BUT increase operational expense Example: Google Public Cloud, Amazon Web Service, Azure
- 9. Hybrid Cloud A Mix of Public and Private Solution Gives flexibility to choose the right environment Temporary uses Less cost Political Reasons Security Reason (Gov Cloud, General Data Protection Regulation (GDPR)) EU-US Privacy Shield and EU Model Clauses. More COMPLEX to manage
- 10. Nowadays it’s X as a Service • Software as a Service (SaaS) • Platform as a service(PaaS) • Infrastructure as a service(IaaS) Understanding the Cloud Offerings
- 12. Understanding the Azure Services Data Storage services Compute services Networking services Application services
- 15. • Why Azure Data warehouse ? • Why not SQL on-premise warehousing • What are the advantages of Azure Data Warehouse? • Performance • Scalability and more • Billing and provisioning of a Azure Data Warehouse • How do we do that? Let us do a demo to find out… Many More..
- 16. Why Choose Cloud Over On-Premise Traditional Warehousing? Let’s consider below: - • We do not need Large Capital Expenses to get started with Azure Data Warehouse. • No staff to maintain hardware, virtualization and operating system. • We can scale Performance up or down as per ‘ON DEMAND’*, while same thing is very cumbersome in the traditional ware house system. • Very High Uptime (99.9%)
- 17. The Cost To Do This On-Premise Includes
- 19. Let’s Provision Azure Data Warehouse
- 23. Accelerate your career path with Microsoft Azure cloud skills! https://docs.microsoft.com/en-us/learn/azure/
- 24. Thanks For Coming … Deepak https://deepak-kaushik.com/ @ThinkForDeepak
Editor's Notes
- Good morning
- First discuss about On Prem from Get an IT administrator's view of Microsoft Azure. You manage or responsible for Hardware, Software, Networking and Firewall means Pretty much everything. As on-prem services are available from a while, So administrators are more comfortable.
- A private cloud is one in which the services and infrastructure are maintained on a private network. It keeps data behind a firewall and is built on-premise or in a ring-fenced section of a data centre. Private cloud is a single tenant solution with the hardware accessed by one or multiple businesses. It’s an ideal solution for enterprise organisations or specialist firms with high levels of security and compliance. Clients generally maintain their own cloud system and own their hardware. Security and compliance on private cloud is configured to meet compliance standards. Private cloud systems cost much more than public cloud and re-configuring is more complex and lengthy.
- A private cloud is one in which the services and infrastructure are maintained on a private network. It keeps data behind a firewall and is built on-premise or in a ring-fenced section of a data centre. Private cloud is a single tenant solution with the hardware accessed by one or multiple businesses. It’s an ideal solution for enterprise organisations or specialist firms with high levels of security and compliance. Clients generally maintain their own cloud system and own their hardware. Security and compliance on private cloud is configured to meet compliance standards. Private cloud systems cost much more than public cloud and re-configuring is more complex and lengthy.
- A public cloud is one in which the services and infrastructure are provided off-site, over the Internet. Data center hardware is not owned by clients and so you face no capital expenses. Instead, providers sell a ‘utility’ or rental service. Providers offer maintenance, disaster recovery and backup, however basic this may be. This is a multi-tenant software solution. Individual company data sits in separate blocks in a common clustered hardware. Data for individual organisations is kept separate and protected with robust security. Breaches of data with a reliable provider are rare. However, some security standards are not suitable for very sensitive data, rigorous audit trails or industry-specific compliance. Public cloud is mainly used to host web servers or develop applications. It is attractive to small and mid-sized enterprises (SMEs) if they are happy to use out-of-the-box menu specifications. Virtual machines are configured quickly – often within hours. Some SaaS (Software as a Service) services are placed within a public cloud if they have high levels of built-in security.
- Hybrid cloud uses public and private cloud for different elements of computing. Only some elements will require high security and customisation but others will not. Hybrid cloud offers private cloud for sensitive data but keeps non-sensitive, generic data (e.g. customer literature) in a cheaper public cloud environment. Hybrid cloud is usually hosted by different cloud providers – one for public and one for private. Hybrid cloud benefits companies who experience seasonal spikes so extra computing power is deployed quickly and cheaply in public cloud while keeping sensitive information in its private cloud. Hybrid cloud is the biggest growth area in cloud computing for enterprise businesses. As servers become ‘smarter’, hybrid cloud is estimated to represent 75% of future enterprise cloud computing.
- How much you want to manage and store yourself. SaaS : Office 365 Structured way of referring to the solution offered at Public Cloud
- IaaS : Hardware and Networking Pieces will be hosted by Microsoft Azure PaaS: Web Servers / Virtual Machine will be hosted by Microsoft Azure SaaS: Everything (IaaS +PaaS and Software) in the Cloud Example-- Office 365
- Data Storage : Blob Storage, Data Storage, BackUp, DR (Both PaaS + IaaS) Compute Service (PaaS +SaaS) Networking Services All connection services Application services : All application are hosted provide functionality for us. E.g ACTIVE Directory . It’s essentially application serving another application.
- A fundamental component to connect to Azure is selecting correct Subscription. Estimate on the bases of Subscription we decided our Monthly cost.
- Azure SQL Data Warehouse is a SQL-based fully managed, petabyte-scale cloud solution for data warehousing. SQL Data Warehouse is highly elastic, enabling you to provision in minutes and scale capacity in seconds. You can scale compute and storage independently, allowing you to burst compute for complex analytical workloads or scale down your warehouse for archival scenarios, and pay based off what you're using instead of being locked into predefined cluster configurations.
- On Demand means , whenever required. With Traditional Datawarehousing, we could scale the Server by increasing RAM and Hardware resources but we could never reduce it as per business need. For Example at the Christmas/Black Friday/ Cyber Monday time , sales increases multiple time even for IQ. Azure Datawarehouse leverage us to increase / decrease as per BUSINESS NEED.
- Azure SQL Data Warehouse is a SQL-based fully managed, petabyte-scale cloud solution for data warehousing. SQL Data Warehouse is highly elastic, enabling you to provision in minutes and scale capacity in seconds. You can scale compute and storage independently, allowing you to burst compute for complex analytical workloads or scale down your warehouse for archival scenarios, and pay based off what you're using instead of being locked into predefined cluster configurations.