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Bundle Course - Cloud Platforms

Learn fundamental concepts of cloud computing and including storage, database, networking, virtualization, containers, and cloud architecture.
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Save 61% Offer ends on 31-Oct-2024
Course Duration: 150 Hours
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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

  • In this lecture session we learn about microsoft azure course introduction and also talk about overview of microsoft azure.

    • 21:37
  • In this lecture session we learn about azure basics functions and importance of microsoft azure.

    • 20:36
  • In this lecture session we learn about microsoft azure features and also talk about functions of microsoft azure in brief.

    • 29:49
  • In this lecture session we learn about microsoft azure glossary and also talk about features of azure glossary in microsoft azure fundamentals.

    • 22:08
  • In this lecture session we learn about Microsoft azure certification path in microsoft azure fundamentals and also talk about features of certification path.

    • 28:48
  • In this lecture session we learn about azure certification path and also talk about features of microsoft azure in brief.

    • 33:38
  • In this lecture session we learn about the fundamentals of cloud computing and also talk about the features of cloud.

    • 38:26
  • In this lecture session we learn about cloud computing functions and also talk about the importance of cloud computing in brief.

    • 30:33
  • In this lecture session we learn about cloud computing terms and conditions and also talk about features of terms and computing of cloud computing.

    • 33:14
  • 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.

    • 32:15
  • 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.

    • 17:04
  • In this lecture session we learn about the advantages of Azure and also talk about the importance of Microsoft azure.

    • 20:51
  • In this lecture session we learn about the basic advantage of Azure in microsoft fundamentals.

    • 20:23
  • In this lecture session we learn about features of microsoft azure and also talk about functions of microsoft azure.

    • 28:20
  • In this lecture session we learn about the advantages of microsoft azure and also talk about factors of microsoft azure.

    • 28:00
  • In this lecture session we learn about career in microsoft azure and also career in microsoft azure in brief.

    • 38:21
  • In this lecture session we learn about Microsoft Azure IOT and also talk about features of Azure IOT in brief.

    • 25:04
  • In this lecture session we learn about fundamentals of azure components in microsoft components and also talk about features of azure components.

    • 31:50
  • In this lecture session we learn about microsoft azure storage architecture and also talk about functions of azure storage architecture in microsoft azure.

    • 1:03:57
  • In this lecture session we learn about microsoft azure table storage and also talk about features of azure table storage.

    • 13:04
  • In this lecture session we learn about azure blob storage and also talk about the importance of microsoft azure blob storage.

    • 14:15
  • In this lecture session we learn about the advantages of blob storage and also talk about all advantages of blob storage.

    • 13:38
  • 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.

    • 17:05
  • In this lecture session we learn about azure virtual machines in microsoft azure and also talk about the importance of virtual machines.

    • 16:25
  • In this lecture session we learn about azure mobile app service and also talk about how we develop mobile app services.

    • 35:46
  • In this lecture session we learn about azure event grid and also talk about features of microsoft azure event grid.

    • 27:10
  • 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.

    • 35:50
  • In this lecture session we learn about azure event hub and also talk about features of microsoft azure event hub.

    • 31:09
  • 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.

    • 23:14
  • In this lecture session we learn about azure API app service in microsoft azure and also talk about functions of azure API app service.

    • 35:33
  • In this lecture session we learn about azure cloud services and also talk about azure cloud services

    • 39:30
  • In this lecture session we learn about azure SQL database configuration and also talk about SQL database features.

    • 26:51
  • In this lecture session we learn about Microsoft Azure devOps and also talk about the importance of azure devOps.

    • 27:29
  • In this lecture session we learn about azure express route and also talk about microsoft azure express route.

    • 29:18
  • In this lecture session we learn about Microsoft Azure SQL database in microsoft azure and also talk about features of SQL.

    • 19:59
  • In this lecture session we learn about microsoft azure key vault in microsoft azure and also talk about key vaults in azure.

    • 25:55
  • In this lecture session we learn about microsoft azure load balancer in microsoft azure and also talk about azure load balancer.

    • 27:41
  • In this lecture session we learn about azure CDN in microsoft azure fundamentals and also talk about azure CDN.

    • 17:26
  • In this lecture session we learn about Microsoft Azure cosmos DB in cloud computing and also talk about features of cloud computing.

    • 30:06
  • In this lecture session we learn about fundamentals of microsoft azure domain in azure and also talk about the importance of azure domains.

    • 47:11
  • In this lecture session we learn about legacy application modernization and also talk about features of legacy application modernization.

    • 18:04
  • In this lecture session we learn about microsoft azure portals and also talk about all portals of microsoft azure.

    • 20:52
  • In this lecture session we learn about microsoft azure services portal and also talk about features of azure all services.

    • 46:41
  • In this lecture session we learn about what is the best model in microsoft azure and also talk about best models for enterprise.

    • 21:39
  • In this lecture session we learn about microsoft azure deep dive and also talk about features of microsoft azure deep dive.

    • 1:02:04
  • In this lecture session we learn about azure management portal in microsoft azure management function and factors.

    • 24:31
  • In this lecture session we learn about subscription and billing and also function importance subscription and billing.

    • 44:32
  • In this lecture session we learn about azure storage services and also talk about functions of azure storage services.

    • 30:38
  • In this lecture session we learn about creating and configuring azure storage accounts and also talk about functions of creating azure storage accounts.

    • 48:18
  • In this lecture session we learn about microsoft azure storage account in fundamentals of azure portals.

    • 31:02
  • In this lecture session we learn about Microsoft Azure Storage account and also talk about features of azure storage.

    • 44:51
  • In this lecture session we learn about microsoft azure websites and services in azure and also talk about basics of websites and services.

    • 54:27
  • In this lecture session we learn about factors of websites and services in microsoft azure.

    • 37:40
  • In this lecture session we learn about validation warnings in microsoft azure.

    • 12:52
  • In this lecture session we learn about how to develop azure websites and services and also talk about functions of websites and services.

    • 40:01
  • In this lecture session we learn about what is services protections and DDos protections in microsoft azure.

    • 30:31
  • In this lecture session we learn about network interface and also talk about functions of network interface.

    • 34:12
  • In this lecture session we learn about microsoft azure Vnet connectivity and also talk about features of peeing and global peeing.

    • 42:41
  • In this lecture session we learn about microsoft azure compute services and also talk about functions of features of compute services.

    • 59:12
  • In this lecture session we learn about creating virtual machines and also talk about functions of creating virtual machines.

    • 32:23
  • In this lecture session we learn about creating an availability set in Microsoft Azure and also talk about factors of creating an availability set.

    • 19:46
  • In this lecture session we learn about scaling microsoft azure virtual machines and also talk about functions of scaling azure virtual machines.

    • 26:48
  • In this lecture session we learn about azure app services and also talk about how we create microsoft azure app services.

    • 59:34
  • In this lecture session we learn about creating a web application and deploying it and also talk about features of deploying.

    • 31:13
  • In this lecture session we learn about features of creating a web application and deploying in microsoft azure.

    • 32:36
  • In this lecture session we learn about microsoft azure mobile app services and also talk about features of mobile app services.

    • 1:00:42
  • In this lecture session we learn about microsoft azure notification hub and mobile engagement.

    • 27:11
  • In this lecture session we learn about microsoft azure functions apps and also talk about features of azure functions apps.

    • 21:46
  • In this lecture session we learn about microsoft azure functions and also talk about functions of microsoft azure functions.

    • 48:17
  • 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.

    • 38:27
  • In this lecture session we learn about creating an API using azure portal and also talk about features creating an azure portal.

    • 09:25
  • In this lecture session we learn about Azure API app services details and also talk about features of API app services.

    • 40:47
  • In this lecture session we learn about microsoft azure database services and also talk about features of database services.

    • 34:38
  • In this lecture session we learn about Microsoft Azure SQL database and also talk about features of SQL database.

    • 14:48
  • In this lecture session we learn about Microsoft Azure SQL database configuration and also talk about features of SQL database.

    • 29:53
  • In this lecture session we learn about global distribution and partitioning and also talk about features of global distributions.

    • 23:31
  • In this lecture session we learn about Microsoft Azure SQL data warehouse and also talk about functions of azure SQL data warehouse.

    • 39:16
  • In this lecture session we learn about cloud computing importance and also talk about functions of cloud computing importance.

    • 32:19
  • In this lecture session we learn about microsoft azure certification path and also talk about features of azure certification path.

    • 1:46:42

Course/Topic 2 - SAP Analytics Cloud (SAC) - all lectures

  • 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.

    • 2:27:31
  • 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.

    • 14:14
  • 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.

    • 1:35:10
  • 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?

    • 2:15:15
  • 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.

    • 2:22:41
  • 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.

    • 2:11:48
  • 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.