Bundle Course - Cloud Platforms
Learn fundamental concepts of cloud computing and including storage, database, networking, virtualization, containers, and cloud architecture.Preview Bundle Course - Cloud Platforms course
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Uplatz provides this bundle course on Cloud Platforms consisting of the following courses:
1).SAC Analytics (SAC)
SAP Analytics Cloud (or SAP Cloud for Analytics) is a software as a service (SaaS) business intelligence (BI) platform designed by SAP. Analytics Cloud is made specifically with the intent of providing all analytics capabilities to all users in one product. With SAP Analytics Cloud, embedded edition, you can build and embed reports, dashboards, and visuals into your business application to make confident decisions. Explore your business data via live connection between your SAP Analytics Cloud tenant and the remote SAP HANA database on SAP BTP. SAP Analytics solutions and embedded machine learning can also accelerate digital transformation and help you gain fast and accurate insights across your organization. By anticipating changes, you can make informed decisions, target customers with products and services, and reduce risk. What’s more, predictive SAP analytics works with your existing data environment, using predictive algorithms and machine learning to assess the likelihood of future outcomes and steer your business in the right direction.
SAP Analytics for cloud is a cloud SaaS-based Business Intelligence tool provided by SAP company. It was formerly known as BusinessObjects for the cloud. It provides all the key functionalities of an Analytics tool to SAP business users. This tool is developed by SAP on HANA-based BI platform and provides analytics compatibility from data coming from a different database, CRM and ERP solutions. You can fetch data from Microsoft SQL, ERP solutions and Salesforce. Business users can compile the data, perform the data discovery, ad-hoc reporting and analysis to support predictive planning. SAP Analytics tool converts the raw data from the transactional system into meaningful insight for making better decisions.
2) Microsoft Azure
Microsoft Azure, formerly known as Windows Azure, is Microsoft's public cloud computing platform. It provides a range of cloud services, including compute, analytics, storage and networking. Users can pick and choose from these services to develop and scale new applications, or run existing applications in the public cloud.
The Azure platform aims to help businesses manage challenges and meet their organizational goals. It offers tools that support all industries -- including e-commerce, finance and a variety of Fortune 500 companies -- and is compatible with open source technologies. This provides users with the flexibility to use their preferred tools and technologies. In addition, Azure offers 4 different forms of cloud computing: infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS) and serverless.
Microsoft charges for Azure on a pay-as-you-go basis, meaning subscribers receive a bill each month that only charges them for the specific resources they have used.
Course/Topic 1 - Microsoft Azure Fundamentals - all lectures
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In this lecture session we learn about microsoft azure course introduction and also talk about overview of microsoft azure.
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In this lecture session we learn about azure basics functions and importance of microsoft azure.
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In this lecture session we learn about microsoft azure features and also talk about functions of microsoft azure in brief.
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In this lecture session we learn about microsoft azure glossary and also talk about features of azure glossary in microsoft azure fundamentals.
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In this lecture session we learn about Microsoft azure certification path in microsoft azure fundamentals and also talk about features of certification path.
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In this lecture session we learn about azure certification path and also talk about features of microsoft azure in brief.
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In this lecture session we learn about the fundamentals of cloud computing and also talk about the features of cloud.
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In this lecture session we learn about cloud computing functions and also talk about the importance of cloud computing in brief.
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In this lecture session we learn about cloud computing terms and conditions and also talk about features of terms and computing of cloud computing.
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In this lecture session we learn about amazon web service and azure and also talk about the basic difference between amazon web service and microsoft azure.
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In this lecture session we learn about we learn about Getting started with microsoft azure and also talk about features and basic overview of Azure.
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In this lecture session we learn about the advantages of Azure and also talk about the importance of Microsoft azure.
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In this lecture session we learn about the basic advantage of Azure in microsoft fundamentals.
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In this lecture session we learn about features of microsoft azure and also talk about functions of microsoft azure.
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In this lecture session we learn about the advantages of microsoft azure and also talk about factors of microsoft azure.
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In this lecture session we learn about career in microsoft azure and also career in microsoft azure in brief.
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In this lecture session we learn about Microsoft Azure IOT and also talk about features of Azure IOT in brief.
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In this lecture session we learn about fundamentals of azure components in microsoft components and also talk about features of azure components.
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In this lecture session we learn about microsoft azure storage architecture and also talk about functions of azure storage architecture in microsoft azure.
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In this lecture session we learn about microsoft azure table storage and also talk about features of azure table storage.
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In this lecture session we learn about azure blob storage and also talk about the importance of microsoft azure blob storage.
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In this lecture session we learn about the advantages of blob storage and also talk about all advantages of blob storage.
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In this lecture session we learn about microsoft azure Queue storage in azure and also talk about features of azure Queue storage in microsoft azure.
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In this lecture session we learn about azure virtual machines in microsoft azure and also talk about the importance of virtual machines.
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In this lecture session we learn about azure mobile app service and also talk about how we develop mobile app services.
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In this lecture session we learn about azure event grid and also talk about features of microsoft azure event grid.
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In this lecture session we learn about microsoft azure backup service in azure cloud and also talk about the importance of microsoft azure backup services.
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In this lecture session we learn about azure event hub and also talk about features of microsoft azure event hub.
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In this lecture session we learn about azure quickstart templates in fundamentals of microsoft azure and also talk about the importance of azure quickstart template.
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In this lecture session we learn about azure API app service in microsoft azure and also talk about functions of azure API app service.
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In this lecture session we learn about azure cloud services and also talk about azure cloud services
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In this lecture session we learn about azure SQL database configuration and also talk about SQL database features.
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In this lecture session we learn about Microsoft Azure devOps and also talk about the importance of azure devOps.
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In this lecture session we learn about azure express route and also talk about microsoft azure express route.
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In this lecture session we learn about Microsoft Azure SQL database in microsoft azure and also talk about features of SQL.
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In this lecture session we learn about microsoft azure key vault in microsoft azure and also talk about key vaults in azure.
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In this lecture session we learn about microsoft azure load balancer in microsoft azure and also talk about azure load balancer.
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In this lecture session we learn about azure CDN in microsoft azure fundamentals and also talk about azure CDN.
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In this lecture session we learn about Microsoft Azure cosmos DB in cloud computing and also talk about features of cloud computing.
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In this lecture session we learn about fundamentals of microsoft azure domain in azure and also talk about the importance of azure domains.
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In this lecture session we learn about legacy application modernization and also talk about features of legacy application modernization.
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In this lecture session we learn about microsoft azure portals and also talk about all portals of microsoft azure.
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In this lecture session we learn about microsoft azure services portal and also talk about features of azure all services.
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In this lecture session we learn about what is the best model in microsoft azure and also talk about best models for enterprise.
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In this lecture session we learn about microsoft azure deep dive and also talk about features of microsoft azure deep dive.
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In this lecture session we learn about azure management portal in microsoft azure management function and factors.
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In this lecture session we learn about subscription and billing and also function importance subscription and billing.
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In this lecture session we learn about azure storage services and also talk about functions of azure storage services.
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In this lecture session we learn about creating and configuring azure storage accounts and also talk about functions of creating azure storage accounts.
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In this lecture session we learn about microsoft azure storage account in fundamentals of azure portals.
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In this lecture session we learn about Microsoft Azure Storage account and also talk about features of azure storage.
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In this lecture session we learn about microsoft azure websites and services in azure and also talk about basics of websites and services.
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In this lecture session we learn about factors of websites and services in microsoft azure.
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In this lecture session we learn about validation warnings in microsoft azure.
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In this lecture session we learn about how to develop azure websites and services and also talk about functions of websites and services.
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In this lecture session we learn about what is services protections and DDos protections in microsoft azure.
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In this lecture session we learn about network interface and also talk about functions of network interface.
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In this lecture session we learn about microsoft azure Vnet connectivity and also talk about features of peeing and global peeing.
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In this lecture session we learn about microsoft azure compute services and also talk about functions of features of compute services.
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In this lecture session we learn about creating virtual machines and also talk about functions of creating virtual machines.
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In this lecture session we learn about creating an availability set in Microsoft Azure and also talk about factors of creating an availability set.
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In this lecture session we learn about scaling microsoft azure virtual machines and also talk about functions of scaling azure virtual machines.
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In this lecture session we learn about azure app services and also talk about how we create microsoft azure app services.
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In this lecture session we learn about creating a web application and deploying it and also talk about features of deploying.
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In this lecture session we learn about features of creating a web application and deploying in microsoft azure.
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In this lecture session we learn about microsoft azure mobile app services and also talk about features of mobile app services.
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In this lecture session we learn about microsoft azure notification hub and mobile engagement.
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In this lecture session we learn about microsoft azure functions apps and also talk about features of azure functions apps.
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In this lecture session we learn about microsoft azure functions and also talk about functions of microsoft azure functions.
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In this lecture session we learn about microsoft azure API app and API management and also talk about functions of API management in microsoft azure.
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In this lecture session we learn about creating an API using azure portal and also talk about features creating an azure portal.
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In this lecture session we learn about Azure API app services details and also talk about features of API app services.
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In this lecture session we learn about microsoft azure database services and also talk about features of database services.
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In this lecture session we learn about Microsoft Azure SQL database and also talk about features of SQL database.
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In this lecture session we learn about Microsoft Azure SQL database configuration and also talk about features of SQL database.
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In this lecture session we learn about global distribution and partitioning and also talk about features of global distributions.
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In this lecture session we learn about Microsoft Azure SQL data warehouse and also talk about functions of azure SQL data warehouse.
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In this lecture session we learn about cloud computing importance and also talk about functions of cloud computing importance.
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In this lecture session we learn about microsoft azure certification path and also talk about features of azure certification path.
Course/Topic 2 - SAP Analytics Cloud (SAC) - all lectures
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In this tutorial we will get an overview of SAP Analytics Cloud, commonly referred to as SAC. It is the cloud data visualization tool from SAP. Its strengths? SAP Analytics Cloud combines a lot of functionalities in a single tool.
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In this tutorial we learn about business intelligence (BI), augmented analytics, predictive analytics, and enterprise planning – in a single solution. Explore data across the organization and deliver insights at the point of decision with intuitive self-service analytics.
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In this tutorial we talk about Evolution of SAC SAP Analytics Cloud integrates with SAP BW without replication required. The advantage is that you can use your existing data models in BW to generate views in SAP Analytics Cloud. SAC and BPC have bi-directional integration. SAP Analytics Cloud is not a success for BPC but a complimentary tool.
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In this lecture session we will go through a simple demonstration on SAC and also talk about how we upload and collect the data in SAC in brief. How do we create a story in SAC?
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In this lecture session we learn about the process of applying in SAP Analytics Cloud and also talk about data types in SAC. SAC ships with some metrics which can be accessed at System / Monitor. There you can analyze the number of users, logins, consumed storage by model and how many transactions (any activity) a user performed.
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In this tutorial we learn about data set in SAC. SAC automatically builds an embedded “Dataset” and lets you create story components. As the dataset is embedded into the story, it cannot be reused elsewhere. End users love this function of automatic data preparation.
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In this lecture session we learn about In a logical data model, a dataset is the basic organizational unit, a set of related facts, attributes or both, which are stored together in the workspace. Datasets are associated with each other through relationships. A relationship describes how one dataset is related to another.
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In this lecture session we learn about Scenario Planning provides the Business users the ability to plan and forecast on different planning assumptions and see the financial impact instantly. This capability can be achieved using the Version Management functionality in SAP SAC.
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In this lecture session we learn about The SAC Data Analyzer is an ad-hoc analysis tool built-in the SAP Analytics Cloud platform, which works in a similar way as the classic BEx Web or the Analysis for Office plugin for Excel.
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In this tutorial we learn about Smart Predict is the most advanced predictive feature in SAC. There are three types of Smart Predict scenarios– Classification, Regression & Time-Series – provided by SAC to address prediction on different business use cases.
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SAP Analytics Cloud (SAC)- In this lecture session we learn about Smart insights that uses proprietary rules and algorithms to do this in a performant way, whereas a user would need to manually investigate each dimension. Some of the benefits are as follows: Quickly understand the reasons behind an interesting data point or variance and see what factors contribute to the value.
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In this lecture session we learn about The key difference between a budget and a forecast is that a budget lays out the plan for what a business wants to achieve, while a forecast states its actual expectations for results, usually in a much more summarized format.
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In this lecture session we learn about a generic dimension that has the following attributes: Name, the member name. Format, user defined: number, date/time and text formats. Pick List, a link to a predefined dimension or subset and also talk about dimensions and measures are data objects that represent categorical, transactional and numerical data in a dataset; for example, Products, Sales or Revenue.
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In this lecture session we learn about financial planning and analysis (FP&A) is a set of four activities that support an organization's financial health: planning and budgeting, integrated financial planning, management and performance reporting, and forecasting and modeling.
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In this lecture session we learn about a matrix organization which is a company structure where teams report to multiple leaders. The matrix design keeps open communication between teams and can help companies create more innovative products and services. Using this structure prevents teams from needing to realign every time a new project begins.
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In this lecture session we will learn that Resource allocation is a plan that you develop with the aim of making the most of the available resources at your disposal in a project. This is mostly a short-term plan set in place to achieve goals in the future and also talk about features of resource allocation.
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In this lecture session we will learn that the driver tree is a way for businesses (and consultants) to understand the impact of changes to key variables that change overall outcomes. The driver tree focuses on visually laying out the smaller components that drive value in a business.
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In this tutorial we understand that the Value Driver Model is an open model that provides a structure for companies to describe and measure how their sustainable business strategies can drive financial results. Its direct tie to core business strategy and outcomes is the differentiator.
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In this lecture session we learn in the context of SAP Analytics Cloud (SAC), SAP's cloud-based Analytics SaaS solution, that Widgets are mainly used for presentation and display purposes. They are used to visualize information as graphs or charts to show data on maps or by other representations like gauges.
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In this tutorial we learn that the main aim of SAP Digital Boardroom is to give you a 360° view of your enterprise in real time. High-level as well as detail-level information is available to (executive) management members 24/7. In this course, you'll learn the steps you need to take to prepare a board meeting using SAP Digital Boardroom.
Course/Topic 3 - API Design & Development - all lectures
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In this lecture session we learn about basic introduction to API Design and development with RAML and also talk about some key features of API design with RAML.
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In this lecture session we learn about data formats and authentication of API design and development with RAML and also talk about the importance of RAML in API design and development.
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In this lecture session we learn about how we start designing API and also talk about basic resources and method of API design and development in RAML.
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In this lecture session we learn about API design center and features of API and also talk about some function of API design center in brief.
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In this tutorial we learn about API best practices is to Provide language-specific libraries to interface with your service and also talk about features of API design and development with RAML.
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In this tutorial we learn about Schemes define which transfer protocols you want your API to use. If your API is enforced by an API Connect gateway, only the HTTPS protocol is supported and also talks about features of API security schemes.
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In this tutorial we learn about API Designer provides a visual or code-based guided experience for designing, documenting, and testing APIs in any language and also talk about the importance of API design principles in brief.
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In this lecture session we learn about RESTful API Modeling Language (RAML) makes it easy to manage the API lifecycle from design to deployment to sharing. It's concise and reusable; you only have to write what you need to define and you can use it again and again.
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In this lecture session we learn about RESTful API Modeling Language (RAML) is a YAML-based language for describing RESTful APIs. It provides all the information necessary to describe RESTful or practically RESTful APIs and also talk about the importance of API design and development with RAML.
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In this lecture session we learn about RAML stands for RESTful API Modeling Language. It's a way of describing practically-RESTful APIs in a way that's highly readable by both humans and computers. We say "practically RESTful" because, today in the real world, very few APIs today actually obey all constraints of REST.
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In this lecture session we learn about RAML (RESTful API Modeling Language) provides a structured, unambiguous format for describing a RESTful API. It allows you to describe your API; the endpoints, the HTTP methods to be used for each one, any parameters and their format, what you can expect by way of a response and more.
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In this lecture session we learn about The RAML specification (this document) defines an application of the YAML 1.2 specification that provides mechanisms for the definition of practically-RESTful APIs, while providing provisions with which source code generators for client and server source code and comprehensive user documentation can be created.
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In this tutorial we learn about RESTful API Modeling Language (RAML) is a YAML-based language for describing RESTful APIs. It provides all the information necessary to describe RESTful or practically RESTful APIs.
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In this lecture session we learn about API is the acronym for Application Programming Interface, which is a software intermediary that allows two applications to talk to each other.
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In this lecture session we learn about RAML can be used in a multitude of ways: to implement interactive PAI consoles, generate documentation, describing an API you are planning to build, and more. Despite the name, RAML can describe APIs that do not follow all of the REST rules (hence why it's referred to as "practically RESTful").
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In this lecture session we learn about API architecture refers to the process of developing a software interface that exposes backend data and application functionality for use in new applications.
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In this lecture session we learn about RAML (RESTful API Modeling Language) provides a structured, unambiguous format for describing a RESTful API. It allows you to describe your API; the endpoints, the HTTP methods to be used for each one, any parameters and their format, what you can expect by way of a response and more.
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In this session we learn about RESTful API Modeling Language (RAML) is a YAML-based language for describing RESTful APIs. It provides all the information necessary to describe RESTful or practically RESTful APIs.
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In this lecture session we learn about RAML libraries that may be used to modularize any number and combination of data types, security schemes, resource types, traits, and annotations.
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In this lecture session we learn about API fragments that are reusable components of RAML to make the design and build of a reusable API even quicker and easier. Another advantage of building an API spec out of reusable API fragments is that consistency of definitions reduces the effort of implementing APIs.
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In this tutorial we learn about The RAML type system borrows from object oriented programming languages such as Java, as well as from XML Schema (XSD) and JSON Schema. RAML Types in a nutshell: Types are similar to Java classes. Types borrow additional features from JSON Schema, XSD, and more expressive object oriented languages
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In this lecture session we learn about Properties is nothing but in terms of JAVA ,Its Object Oriented Name. But Facet is nothing but More information about Property like MinLength,MaxLength,Minimum and Maximum and many more what you have said as well.
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In this lecture session we learn about how API fragments are reusable components of RAML to make the design and build of a reusable API even quicker and easier. Another advantage of building an API spec out of reusable API fragments is that consistency of definitions reduces the effort of implementing APIs.
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In this lecture session we learn that RAML belongs to the "API Tools" category of the tech stack, while YAML can be primarily classified under "Languages". According to the StackShare community, RAML has a broader approval, being mentioned in 9 company stacks & 6 developers stacks; compared to YAML, which is listed in 5 company stacks and 4 developer stacks.
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In this lecture session we learn about The WSDL document represents a contract between API providers and API consumers. RAML is a modern WSDL counterpart specifically for REST APIs. The RAML Spec is an open standard that was developed by the RAML workgroup and with support from MuleSoft.
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In this lecture session we learn about RAML to HTML is a documentation tool that outputs a single HTML page console based on a RAML definition. It's written in NodeJS and it can be executed as a command line.
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In this lecture session we learn about A resource node is one that begins with the slash and is either at the root of the API definition or a child of a resource node.
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In this lecture session we learn about RAML stands for RESTful API Modeling Language. It's a way of describing practically-RESTful APIs in a way that's highly readable by both humans and computers. We say "practically RESTful" because, today in the real world, very few APIs today actually obey all constraints of REST.
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In this lecture session we learn about RAML is a Rest API Modeling Language and it is based on YAML for describing your API's. It is basically used to describe your API, which can be easily readable by humans and computers.
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In this lecture session we learn about The baseURI im raml definition is a optional field that serves initially to identify the endpoint of the resources you will describe in the raml definition of a api. The baseURI may also be used to specify the URL at which the api is served.
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In this lecture session we learn about RAML stands for RESTful API Modeling Language. It's a way of describing practically RESTful APIs in a way that's highly readable by both humans and computers. It is a vendor-neutral, open-specification language built on YAML 1.2 and JSON for describing RESTful APIs.
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In this lecture session we learn about RESTful API Modeling Language (RAML) makes it easy to manage the API lifecycle from design to deployment to sharing. It's concise and reusable; you only have to write what you need to define and you can use it again and again. Uniquely among API specs, it was developed to model an API, not just document it.
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In this lecture session we learn about The WSDL document represents a contract between API providers and API consumers. RAML is a modern WSDL counterpart specifically for REST APIs. The RAML Spec is an open standard that was developed by the RAML workgroup and with support from MuleSoft.
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In this tutorial we learn about The RAML specification (this document) defines an application of the YAML 1.2 specification that provides mechanisms for the definition of practically-RESTful APIs, while providing provisions with which source code generators for client and server source code and comprehensive user documentation can be created.
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In this lecture session we learn about A string is a data type used in programming, such as an integer and floating point unit, but is used to represent text rather than numbers. It consists of a set of characters that can also contain spaces and numbers.
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In this RAML is used to design and manage the whole REST API lifecycle. MULE API Kit: Helps to build the APIs from Anypoint Studio using a RAML file. I will be explaining the generating flows from the RAML file and executing it.
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In this lecture session we learn about APIs (application programming interfaces) are simply communication tools for software applications. APIs are leading to key advances within the banking industry as financial institutions continue to collaborate with third parties.
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In this lecture session we learn about Music (alternatively called the Music app; formerly iPod) is a media player application developed for the iOS, iPadOS, tvOS, watchOS, and macOS operating systems by Apple Inc.
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In this lecture session we learn about An API application program interface is used in mobile apps just like it is in web apps. It allows developers to access another application or platform. APIs are the foundational element of a mobile app strategy.
1).Learn about security controls.
2).How to successfully execute workload migrations to the cloud.
3).Identify proper cloud resources and apply necessary changes, based on performance data.
4).Learn automation to ensure desired system performance.
This course provides a comprehensive introduction to cloud computing concepts, architectures, and platforms. Participants will learn about various cloud service models, deployment options, and hands-on experience with popular cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform.
Week 1: Introduction to Cloud Computing
a).What is cloud computing?
b).Key characteristics and benefits of cloud computing
c).Overview of cloud service models: IaaS, PaaS, SaaS
d).Understanding cloud deployment models: Public, Private, Hybrid, Community
Week 2: Cloud Architecture and Components
a).Overview of cloud architecture
b).Understanding virtualization and containerization
c).Key components of cloud infrastructure: Compute, Storage, Networking
d).Introduction to microservices and serverless architectures
Week 3: AWS Fundamentals
a).Introduction to Amazon Web Services (AWS)
b).Core AWS services: EC2, S3, RDS, Lambda
c).Setting up an AWS account and environment
d).Hands-on exercise: Deploying a simple web application on AWS
Week 4: Microsoft Azure Fundamentals
a).Introduction to Microsoft Azure
b).Core Azure services: Virtual Machines, Azure Storage, Azure SQL Database
c).Setting up an Azure account and environment
d).Hands-on exercise: Deploying a simple application using Azure App Services
Week 5: Google Cloud Platform Fundamentals
a).Introduction to Google Cloud Platform (GCP)
b).Core GCP services: Compute Engine, Cloud Storage, BigQuery
c).Setting up a GCP account and environment
d).Hands-on exercise: Deploying a simple application using Google App Engine
Week 6: Cloud Security and Compliance
a).Overview of cloud security principles
b).Understanding shared responsibility model
c).Best practices for securing cloud resources
d).Compliance considerations: GDPR, HIPAA, PCI-DSS
Week 7: Cloud Networking
a).Introduction to cloud networking concepts
b).Understanding Virtual Private Cloud (VPC), subnets, and peering
c).Setting up networking components in AWS, Azure, and GCP
d).Hands-on exercise: Configuring network security groups and firewalls
Week 8: Data Management in the Cloud
a).Overview of cloud data storage solutions
b).Managing databases in the cloud: RDS, Cosmos DB, Firestore
c).Data migration strategies to the cloud
d).Hands-on exercise: Migrating a local database to a cloud platform
Week 9: Monitoring and Optimization
a).Overview of cloud monitoring tools and services
b).Understanding cost management and optimization strategies
c).Implementing auto-scaling and load balancing
d).Hands-on exercise: Setting up monitoring and alerts in a cloud environment
Week 10: Future Trends and Best Practices
a).Emerging trends in cloud computing: AI, ML, Edge Computing
b).Best practices for cloud architecture and design
c).Strategies for multi-cloud and hybrid cloud environments
d).Preparing for cloud certification exams (AWS, Azure, GCP)
Recommended Resources:
1).Textbooks:
a)."Cloud Computing: Concepts, Technology & Architecture" by Thomas Erl
b).Official documentation for AWS, Azure, and GCP
2).Online Resources:
AWS Training and Certification, Microsoft Learn, Google Cloud Training
3).Tools:
AWS Management Console, Azure Portal, Google Cloud Console
4).Assessment:
a).Weekly quizzes and assignments
b).Mid-term project demonstrating cloud deployment
c).Final project showcasing a comprehensive application hosted on multiple cloud platforms
The Cloud Platforms Certification ensures you know planning, production and measurement techniques needed to stand out from the competition.
There are three major players in the public cloud platforms arena - Amazon Web Services (AWS), Microsoft's Azure, and Google Cloud Platform. The top cloud computing companies are addressing a large and growing market.
In more advanced terms, cloud technology works through data centers. Instead of using the storage space on your phone, computer or tablet, your information is housed in virtual servers. These virtual servers connect to huge data centers which have the infrastructure to store and protect your data.
The scope of cloud computing is very bright. According to a report, the cloud computing market in India is at $2 billion and is expected to grow with an annual growth rate of 30%. By 2020, the cloud computing market in India is supposed to reach $4 billion and create more than a million jobs in this country.
Uplatz online training guarantees the participants to successfully go through the Cloud Platforms certification provided by Uplatz. Uplatz provides appropriate teaching and expertise training to equip the participants for implementing the learnt concepts in an organization.
Course Completion Certificate will be awarded by Uplatz upon successful completion of the Cloud Platforms online course.
The Cloud Platforms draw an average salary of $98,080 per year depending on their knowledge and hands-on experience. The Cloud Platforms job roles are in high demand and make a rewarding career.
you can sum up the role of cloud computing employees as managing the end-to-end lifecycle of a cloud environment, including designing applications for the cloud, planning the cloud architecture, adapting security measures, provisioning resources, and maintaining cloud components.
Note that salaries are generally higher at large companies rather than small ones. Your salary will also differ based on the market you work in.
The following are the job titles:
1).Cloud administrator-These experts manage a company's cloud presence and infrastructure.
2).Cloud security analyst.
3).Cloud network engineer.
4).Cloud automation engineer.
5).Cloud consultant.
6).Cloud software engineer.
7).Cloud engineer.
8).Cloud architect.
Q1).What is cloud computing?
Ans-Cloud computing is an internet based new age computer technology. It is the next stage technology that uses the clouds to provide the services whenever and wherever the user need it.It provides a method to access several servers world wide.
Q2).What are the benefits of cloud computing?
Ans-The main benefits of cloud computing are:
1).Data backup and storage of data.
2).Powerful server capabilities.
3).Incremented productivity.
4).Very cost effective and time saving.
5).Software as Service known as SaaS.
Q3).What is a cloud?
Ans-A cloud is a combination of networks ,hardware, services, storage, and interfaces that helps in delivering computing as a service. It has three users :
1).End users
2).Business management users
3).cloud service provider
4).What are the different data types used in cloud computing?
There are different data types in cloud computing like emails, contracts, images , blogs etc. As we know that data is increasing day by day so it is needed to new data types to store these new data. For an example, if you want to store video then you need a new data type.
Q5).Which are the different layers that define cloud architecture?
Ans-Following are the different layers that are used by cloud architecture:
1).CLC or Cloud Controller
2).Walrus
3).Cluster Controller
4).SC or Storage Controller
5).NC or Node Controller
Q6).Which platforms are used for large scale cloud computing?
Ans-The following platforms are used for large scale cloud computing:
1).Apache Hadoop
2).MapReduce
Q7).What are the different layers in cloud computing? Explain working of them.
Ans-There are 3 layers in the hierarchy of cloud computing.
1).Infrastructure as a service (IaaS):It provides cloud infrastructure in terms of hardware as like memory, processor, speed etc.
2).Platform as a service (PaaS):It provides cloud application platform for the developer.
3).Software as a service (SaaS)::It provides the cloud applications to users directly without installing anything on the system. These applications remains on cloud.
Q8).What do you mean by software as a service?
Ans-Software As a Service (SaaS) is an important layer of cloud computing. It provides cloud applications like Google is doing. It facilitate users to save their document on the cloud and create as well.
Q9).What is the platform as a service?
Ans-It is also a layer in cloud architecture. This model is built on the infrastructure model and provide resources like computers, storage and network. It is responsible to provide complete virtualization of the infrastructure layer, make it look like a single server and invisible for outside world.
Q10).What is on-demand functionality? How is it provided in cloud computing?
Ans-Cloud computing provides a on-demand access to the virtualized IT resources. It can be used by the subscriber. It uses shared pool to provide configurable resources. Shared pool contains networks, servers, storage, applications and services.
Q11).What are the platforms used for large scale cloud computing?
Ans-Apache Hadoop and MapReduce are the platforms use for large scale cloud computing.
Q12).What are the different models for deployment in cloud computing?
Ans-These are the different deployment model in cloud computing:
1).Private cloud
2).Public cloud
3).Hybrid cloud
4).Community cloud
Q13).What is private cloud?
Ans-Private clouds are used to keep the strategic operations and other reasons secure. It is a complete platform which is fully functional and can be owned, operated and restricted to only an organization or an industry. Now a day, most of the organizations have moved to private clouds due to security concerns. Virtual private cloud is being used that operate by a hosting company.
Q14).What is public cloud?
Ans-The public clouds are open to the people for use and deployment. For example: Google and Amazon etc. The public clouds focus on a few layers like cloud application, infrastructure providing and providing platform markets.
Q15).What are Hybrid clouds?
Ans-Hybrid clouds are the combination of public clouds and private clouds. It is preferred over both the clouds because it applies most robust approach to implement cloud architecture. It includes the functionalities and features of both the worlds. It allows organizations to create their own cloud and allow them to give the control over to someone else as well.