The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.

Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using Qwiklabs.

This course introduces you to container technologies and how they can be used to modernize your applications, as well as exploring how different AWS services can be used to manage and orchestrate those containers. Container technologies have existed for years, and are still gaining popularity. Two of the most prevalent options are Docker and Kubernetes - each with its own distinct set of features. Regardless of which technology you choose, one of the biggest challenges with containers is their orchestration. Unlike traditional, monolithic applications where you can only scale at a macro level - an executable, for example - containerized applications scale at the container level. When coupled with a microservices approach, each container can contain the code necessary to execute a single task or function. While this provides a number of benefits, a single application can consist of hundreds of containerized microservices. How do you handle starting, stopping, scaling out and scaling in all of these containers? AWS offers a number of services that help with container orchestration, including Amazon Elastic Container Service (ECS), Amazon Elastic Kubernetes Service (EKS), Amazon Lightsail, and Amazon Elastic Container Registry (ECR). Throughout this course, expert instructors will dive deep into these services as well as general container technologies and capabilities. This course uses a combination of video-based lectures, delivered by AWS technical trainers, demonstrations, and hands-on lab exercises to enable you to deploy and manage a containerized application.

The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.

Cloud computing has taken over the IT landscape and is soon to outpace on-premise and in-house data centers as companies are starting to realize the efficiencies, cost savings, and flexibility the cloud can provide. Computing resources can be created and destroyed simply by calling an API. Entire virtual data centers can be created in a matter of minutes or hours. Whether your company or application was born in the cloud or transitioning to the cloud, you need tools to build and manage your infrastructure. Terraform from Hashicorp is one such tool that allows you to declare infrastructure as code in a simple, easy to understand language. Managing your infrastructure as code bridges the gap between dev and ops and provides an opportunity to include infrastructure management as part of the development lifecycle. When environments are declared in code they can be shared and used across your organization to provide consistent environments that align with your production environment. Managing infrastructure as code also provides a far more robust process for managing and tracking infrastructure since these processes can now be incorporated into CI/CD tooling and other automation processes. In this course I will teach you the fundamentals of Terraform using Amazon Web Services as an example. Together we will walk through the basics of Terraform and ultimately create real infrastructure in AWS along the way. This course makes use of the AWS Free Tier which offers the general public a certain number of FREE computing hours and storage space for one year. It is recommended that students sign up for an AWS Free Tier account. Udemy and the author of this course are not liable for any cloud service provider charges you may incur while executing the exercises in this course.

The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.

Salesforce Commerce Cloud, formerly called Demandware, is a cloud-based service for unifying the way businesses engage with customers over any channel or device. Now a days E-Commerce is growing rapidly. Every merchant or seller wants to do online selling. Salesforce Commerce Cloud is a platform where a large E-Commerce business can be handled very easily. All the cloud services make this very easy for Merchants as well as for Customers. Create Multi regional Online Stores , Easy Product selling , Best order management & customer handling. This Course is dedicated to : - Spread Knowledge of this Cloud base Salesforce product. - Easy tutorials for Merchants so that they can handle Business Manager/ Admin very easily. - Tutorials for beginers as well as Advance developers. - Coding Standards for Backend as well as frontend developers. - Solutions to common issues in Sales force commerce cloud development. Lets spread the knowledge of Salesforce Commerce Cloud . Topics covered in the sessions are as following : Introduction to Salesforce Commerce Cloud Understand Business Manager Connect Salesforce Commerce Cloud Using UXStudio & Eclipse Catalog & Products Campaigns & Promotions Customers Groups Cartridge or File Structure of Salesforce Commerce Cloud Concept of Pipelines At the End of course you will be able to start Administration & Development in Salesforce Commerce Cloud.

Cloud Computing has really changed the way companies looking into their digital Infrastructure now a days. Cloud computing with its unique paradigms brings in new opportunities and challenges for developers and administrators worldwide. With our unique curriculum we have tried to create the content which will bring beginners up to speed with Cloud technologies. The Course will start with basic introduction to cloud concepts like SAAS, PAAS and IAAS. You will also learn how Linux systems is changing the Infrastructure landscape worldwide. You will then learn to use popular cloud technologies like Google Compute Engine , Amazon AWS and Redhat open shift. The last unit covers Virtualization Technologies to provide you a holistic understanding of cloud computing environment. This course is surely the fastest and smartest way to get started with Cloud computing technologies.

This course provides a holistic experience of optimally configuring SAP on Google Cloud. Participants will learn to configure SAP on Google Cloud, and what best practices are, leaving the course with actionable experience to configure SAP on Google Cloud and run SAP workloads on Google Cloud. >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

This course introduces participants to the strategies to migrate from a source environment to Google Cloud. Participants are introduced to Google Cloud's fundamental concepts and more in depth topics, like creating virtual machines, configuring networks and managing access and identities. The course then covers the installation and migration process of Migrate for Compute Engine, including special features like test clones and wave migrations.