Career Path - Cloud Engineer
Learn how to planning, design and development of an application on cloud, maintenance & support, administration & management of the cloud platform.Preview Career Path - Cloud Engineer course
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Discover our Career Path - Cloud Engineer program, featuring cloud courses to kickstart your journey into cloud engineering. Courses inluded in this package are:
1. Cloud Computing Basics
2. Microsoft Azure Fundamentals
3. AWS (Amazon Web Services)
4. GCP (Google Cloud Platform)
5. SAP Analytics Cloud (SAC)
6. SAP CPI (Cloud Platform Integration)
Who is a Cloud Engineer
Cloud engineering is the application of engineering disciplines to the cloud computing. It brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. In practice, it leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions. The main roles and responsibilities of a cloud engineer have been addressed already. For clarity, it would now be useful to understand in detail what cloud engineers do when their profile is rather specific.The three major roles of cloud engineers can be explored in order to arrive at this evaluation. The roles and responsibilities of a Solution Architect, Cloud Developer, and SysOps Engineer.
Roles & responsibilities of a Cloud Engineer
A Cloud Engineer is an IT professional responsible for a number of technological responsibilities under Cloud Computing. Cloud engineers are responsible for performing the technical duties associated with cloud computing. This can involve anything from designing cloud software and systems to implementing and maintaining them. Key roles & responsibilities of a cloud engineer includes - planning, design and development of an application on cloud, maintenance & support, administration & management of the cloud platform.
How to become a Cloud Engineer
1).Develop the required skills through education - The education requirements for cloud engineering positions may be ambiguous at times, earning a degree or certificate in a related field can help you stand out. While some employers may prefer candidates with a bachelor’s degree, others require a Mater's Degree of Computer Science or related field.
2).Knowledge of leading cloud service providers and their platforms such as AWS, Azure, Google Cloud, IBM Cloud, Oracle Cloud, Salesforce, and so on
3).Programming skills, such as SQL, R, and Python
4).Cloud security
5).Machine learning and artificial intelligence
6).Development and maintenance of databases
Key skills required as a Cloud Engineer
Education: To work as a cloud engineer, applicants are required to have a minimum of Bachelor of Science degree in Computer Science, or Engineering, or in other related technical field.
Certification: it is important that they have relevant cloud certifications such as Microsoft Certified Azure Solutions Architect or AWS Cloud Practitioner.
Knowledge: A cloud engineer must have adept technical skills and cognate experience to be hired. Employers seek expertise in a combination of the following areas: Practical object-oriented development knowledge with at least Scala or Java, knowledge of systems like ZooKeeper, Consul etc.,
Collaborative skills: Part of the daily tasks of a Cloud Engineer is to work with cross-functional teams (Product Owners, Scrum Masters, Developers, Designers, and Business Analysts),
Communication skills: The cloud engineer works with people, including IT professionals and non-IT experts, so it is crucial that they have an exceptional verbal, presentation, and written communications skills to convey information clearly to the different audience.
Course/Topic 1 - Cloud Computing Basics - all lectures
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In this lecture session we learn about cloud computing, which means storing and accessing data over the internet instead of a hard disk. It is defined as a service that provides users to work over the internet.
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In this lecture session we learn about cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
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In this lecture session we learn about Cloud computing is a general term for anything that involves delivering hosted services over the internet. These services are divided into three main categories or types of cloud computing.
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In this tutorial we learn about the importance of cloud computing can be found in using services like Google Drive and Apple iCloud. The use of these services allows documents, contacts, pictures, and a whole lot more online.
Course/Topic 2 - 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 3 - GCP - all lectures
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Lesson 1 - Cloud Computing Overview
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Lesson 2 - Google Cloud Platform (GCP) Overview
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Lesson 3 - Compute Engine
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Lesson 4 - Google Cloud Storage
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Lesson 5 - GCP Networking
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Lesson 6 - Relational Databases in Google Cloud
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Lesson 7 - Non-relational Databases in Google Cloud
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Lesson 8 - Cloud Storage and Processing for Big Data
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Lesson 9 - Identify and Access Management (IAM)
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Lesson 10 - GCP Security Services
Course/Topic 4 - 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 5 - SAP CPI - all lectures
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This tutorial gives you a comprehensive coverage of concepts of SAP Cloud and makes you comfortable to use it in your software development projects.
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SAP Cloud Platform is a cloud-based tool to develop and deploy custom applications. This includes full range of service catalog including database, storage and backup of data, reporting service and transaction layer to develop multi-platform software development.
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This tutorial has been prepared for professionals who aspire to learn the fundamentals of Cloud Platform and application development. Consultants and project team members who have already been a part of SAP application development can draw benefits from this tutorial and refresh their knowledge.
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Before getting started with SAP CPI module we have to understand what is SAP CPI (Cloud Platform Integration) properly. This video highlights the misconceptions that you might have and need to understand before dealing with CPI.
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In this tutorial, you'll learn how to integrate SAP Cloud Platform.
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In this tutorial, you configure and test Azure AD single sign-on in a test environment SAP Cloud Platform supports SP initiated SSO
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To configure the integration of SAP Cloud Platform into Azure AD (Active Directory), you need to add SAP Cloud Platform from the gallery to your list of managed SaaS apps.
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Configure and test Azure AD SSO with SAP Cloud Platform using a test user called B. Simon. For SSO to work, you need to establish a link relationship between an Azure AD user and the related user in SAP Cloud Platform.
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SAP Integration Suite provides the most effective customized performances report of its current customers, and it's great for multiple organizations looking for a right platform as a service solution.
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SAP Cloud is a nice product in the market and is very helpful for SAP's business, and it also gives the most effective services to the customers. SAP Cloud or SAP Integration Suite is an enterprise integration platform as a service. It allows connecting all software, apps, employees and different departments of the organization through unlimited IT facilities.
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SAP CPI is a complex system. There are some areas that you must understand what mean before you start creating your first real project. If not you are going to spend too much time on something that will not help your project. And it will be difficult to understand how to get started.
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SAP Cloud platform offers PaaS based in-memory and microservice based mobile enabled cloud applications. SAP Cloud Platform provides you an option to control your choice of clouds, frameworks, and applications.
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SAP Cloud Platform Cockpit is the central Web-based user interface for administrators, and you can use this for providing access to various functions for configuring and managing applications using SAP Cloud platform
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As part of SAP Cloud Platform Integration suite, SAP offers a lightweight integration software which is called SAP Cloud platform Integration for Data Services CPI-DS (Formerly called as HCI-DS).
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The SAP Data Services agent facilitates the interaction of CPI-DS on-cloud with systems in Local landscape. It must be installed and configured for enabling data movement between on-premise and cloud systems.
The main goals are:
a).A clear understanding of Cloud Computing
b).A comprehensive understanding of Cloud Computing concepts
c).To understand Cloud Computing benefits
d).A Precise understanding of when and where to use it using the industry models
Course Title: Career Path in Cloud Engineering
Module 1: Introduction to Cloud Engineering
This module provides a foundational overview of cloud engineering, defining the role and importance of Cloud Engineers in today’s technology landscape. Students will learn about cloud computing concepts, including the differences between on-premises and cloud solutions, and the various types of cloud deployment models—public, private, and hybrid. The module will set the stage for understanding the evolving nature of cloud technologies and their impact on businesses.
Module2:Educational Pathway and Certification Requirements
In this module, students will explore the educational requirements for becoming a Cloud Engineer. A background in computer science, information technology, or a related field is typically essential. The module will also discuss various certification options, such as AWS Certified Solutions Architect, Microsoft Certified: Azure Administrator, and Google Cloud Professional Cloud Engineer. Emphasis will be placed on the value of practical experience and internships in complementing formal education.
Module 3: Core Skills and Competencies
This module focuses on the essential skills and competencies necessary for success as a Cloud Engineer. Technical skills such as proficiency in cloud platforms (AWS, Azure, Google Cloud), programming languages (Python, Java, etc.), and DevOps practices will be highlighted. Additionally, soft skills like problem-solving, teamwork, and effective communication will be addressed, as these are crucial for collaborating with cross-functional teams and managing stakeholder expectations.
Module 4: Cloud Infrastructure and Services
In this module, students will gain an in-depth understanding of cloud infrastructure and the various services offered by cloud providers. Topics will include compute, storage, networking, and database services. Students will learn how to architect scalable and resilient cloud solutions, focusing on resource management, cost optimization, and performance tuning. Case studies of successful cloud implementations will be examined to provide practical insights.
Module 5: Automation and DevOps Practices
This module delves into the principles of automation and DevOps practices that are vital for Cloud Engineers. Students will learn about infrastructure as code (IaC), continuous integration/continuous deployment (CI/CD) pipelines, and configuration management tools. The module will emphasize the role of automation in enhancing operational efficiency, reducing errors, and speeding up deployment processes in cloud environments.
Module 6: Security in Cloud Environments
Security is a critical aspect of cloud engineering, and this module will cover key security principles and practices. Students will explore identity and access management (IAM), encryption techniques, and compliance frameworks relevant to cloud services. The module will also address common security threats in cloud environments and how to design secure cloud architectures that protect sensitive data and comply with regulations.
Module 7: Career Development and Networking
This module focuses on strategies for career advancement within the field of cloud engineering. Students will learn about various roles related to cloud engineering, such as Cloud Architect, DevOps Engineer, and Site Reliability Engineer (SRE). The module will highlight the importance of networking, mentorship, and continuous professional development through industry events, online forums, and social media platforms to enhance career opportunities.
Module 8: Future Trends in Cloud Engineering
In the final module, students will examine emerging trends and future directions in cloud engineering. Topics will include advancements in artificial intelligence and machine learning within cloud services, the growth of edge computing, and the increasing relevance of multi-cloud strategies. The module will encourage students to think critically about how these trends will shape the future of cloud engineering and the skills they will need to stay competitive.
Course Delivery and Assessment
a).Format: The course will be delivered through a combination of online lectures, hands-on labs, interactive workshops, and guest speaker sessions from industry professionals.
b).Assessment: Students will be evaluated through quizzes, practical assignments, and a capstone project that involves designing and deploying a cloud solution for a real-world scenario.
Learning Outcomes
By the end of the course, students will be able to:
1.Understand the fundamentals of cloud engineering and its significance in IT.
2.Identify the educational pathways and certification requirements for Cloud Engineers.
3.Develop the core technical and soft skills necessary for the profession.
4.Architect and manage cloud infrastructure and services effectively.
5.Implement automation and DevOps practices in cloud environments.
6.Recognize security principles and compliance issues in cloud engineering.
7.Plan for career development and networking opportunities in the field.
8.Analyze future trends and their implications for cloud engineering.
The Cloud EngineerCertification ensures you know planning, production and measurement techniques needed to stand out from the competition.
Many cloud engineers start their careers with a bachelor's in computer science, information systems and technology, software engineering or another related field. The bachelor's program you choose should focus on the technical aspects of software and systems infrastructure, computing and other technical subjects
It takes most people at least four years to become a cloud engineer. However, attending a four-year degree program is not the only way to launch a career in cloud computing. You can easily attend a bootcamp program or online course to acquire in-demand skills in cloud computing.
From cloud consultants to software Engineers, CRN breaks down the top 10 most-sought-after cloud computing jobs in 2021, according to new data from Indeed. The most in-demand cloud computing job in the U.S. today is cloud engineer. A cloud engineer makes approximately $118,000 per year, according to Indeed.
Uplatz online training guarantees the participants to successfully go through the Cloud Engineercertification 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 Engineeronline course.
The Cloud Engineer draws an average salary of $141,000 per year depending on their knowledge and hands-on experience. The Cloud Engineer Admin job roles are in high demand and make a rewarding career.
Cloud computing is a versatile field. It is surely a field that has an exponential scope of growth. We recommend that gaining experience and attaining certain certificates to your already existing skills will surely give a strong boost to your career.
From cloud consultants to software architects, CRN breaks down the top 10 most-sought-after cloud computing jobs in 2021, according to new data from Indeed. The most in-demand cloud computing job in the U.S. today is cloud engineer. A cloud engineer makes approximately $118,000 per year, according to Indeed.
a).According to a report by Statista, Senior Solutions Architects earn an average of $141,000, making it the highest paying job.
b).The cloud architect position is also pretty lucrative with an average salary of $135,977.
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.
a).Junior Data Engineer.
b).Azure Cloud Engineer.
c).Cloud Suppor Engineer
Q1.Compare between Cloud and On-premise Computing.
Ans-Specifications Cloud On-premise
a).Initial cost Low High
b).Maintenance and support Hassle-free Requires attention
c).Upgrade Automatic Manual
d).Scalability Excellent Good
e).Payment on the Go Yes No
Q2.What is a Cloud?
Ans-A cloud refers to a collaboration of networks, hardware, services, storage, and interfaces that help in delivering computing as a service. It has three types of users:
1.End users
2.Business management users
3.Cloud service providers
Q3.What is Cloud Computing?
Ans-Cloud Computing refers to an advanced-stage technology so that the cloud provides its services globally as per the business and user requirements. It provides a seamless method to access several servers worldwide.
Q4.What are the uses of Cloud Computing?
Ans-The main uses of Cloud Computing are:
a).Data backup and storage of data
b).Powerful server capabilities
c).Incremented productivity
d).Cost-effective and time-saving
Q5.Mention the layers of PaaS architecture.
Ans-
1).Cloud Controller
2).Storage Services
3).Applications Stored in Storage Services
Q6.What are the cloud service models?
Ans-
1).Infrastructure as a Service (IaaS)
2).Platform as a Service (PaaS)
3).Software as a Service (SaaS)
Q7.List out the components of Windows Azure?
Ans-
1).Cloud
2).SQL Azure
3).App Fabric: Allows fabric cloud
Q8.What are the differences happened in distributed operations?
Ans- FC: Master-Slave Operations
Nova: Parallel process and its shared database
Q9.Name an agent equivalent of Nova Compute?
Ans-Azure Agent
Q10.Mention the uses of fault domains?
Ans-The uses are:
1).Two virtual machines fall under single fault domain if a single hardware can bring down both the virtual machines.
2).Azure automatically allocates instances of a role across fault domains.
Q11.Providea best example for the open-source Cloud Computing?
Ans-OpenStack
Q12.Define AMI?
Ans-AMI is Amazon Machine Image, which refers a copy of your root file system. It feeds the information required to launch an instance.
Q13.What are the types of hybrid clouds?
Ans-
1).Vcloud
2).OpenStack
Q14.List the platforms that are used for large-scale Cloud Computing.
Ans-The platforms that are used for large-scale Cloud Computing are:
a).Apache Hadoop
b).MapReduce
Q15.Mention the different types of models used for the deployment in Cloud Computing.
Ans-The different deployment models in Cloud Computing are:
1).Private Cloud
2).Public Cloud
3).Community Cloud
4).Hybrid Cloud