11203 Concept courses

Project Communication Skills Communication is the single most critical project success factor. When effective, projects get executed on time, within budget, and with objectives being met. But that isn't all. Strong communication also nurtures healthy team relationships. And in today's highly diverse world, where projects are often fast-paced, complex, and virtual, that is more important than ever. Strong communication skills foster cultural awareness, trust, and empathy. Together, they contribute greatly to project success-and ultimately, to future project success. In this course, participants will actively explore best communication practices from a variety of perspectives: in-person, virtual, electronic, and via formal project documentation. In order to be transformative, however, those perspectives will be filtered further through the lens of their formal, personalized assessment. It is a powerful tool which identifies individuals' internal needs and priorities. It translates those into descriptive profiles and reports, gifting users with valuable information about themselves and others. Paired with the course's real-world activities, it will provide uniquely strategic opportunities for communicating effectively and meaningfully-and with less conflict, both personally and professionally. What You Will Learn At the end of this program, you will be able to: Identify basic elements of communication and explain how they affect teams Explore how your assessment style impacts you and how you communicate with people of other styles Infer how your style impacts the way(s) you send and interpret emails and instant messages Analyze real world email and instant messaging practices to determine how they affect communication and relationships Explore best practices for formal project communications and presentations Analyze how your assessment style and global diversity can contribute to both strong team communication and conflict Identify solutions for virtual team work communication challenges Getting Started Foundation Concepts Communication as a foundation skill Elements of communication Communicating across media Targeting your audience How communication impacts team performance The Assessment Framework Overview of the assessment's approach Exploring assessment report Increasing your effectiveness with other assessment styles Email and Instant Messages Preferred communications and assessment styles The email brands we create Assessment styles and email Emotion and email Email guidelines and best practices Anatomy of an email The seven deadly email sins Instant messages and other interfaces Project Communications and Presentations Communicating across the project lifecycle Project templates Structuring a presentation Delivering a presentation Interpersonal and Team Communication Skills Communication styles and techniques Managing conflict in a project environment Styles and conflict Communication and global team leadership Virtual Communication Leading global virtual teams Virtual processes and technology Virtual team leadership

Global Project Management In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. In today's increasingly global environment, managing a project with customers and support organizations spread across multiple countries and continents is a major challenge. From identifying stakeholders and gathering requirements, to planning, controlling, and executing the project, the basic logistics of a global project present their own standard challenges. However, with additional cultural, language-based, and regional elements, global projects involve more complexities than teams often realize. There are unique communication needs, cultural awareness elements, varying customs and work expectations, and critical legal differences to consider. In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. This will leverage you to problem solve differently on global projects, prevent problems, and ensure success. The goal is for you to effectively navigate the challenges of leading projects with multi-regional footprints and globally diverse sets of stakeholders. What you Will Learn At the end of this program, you will be able to: Determine when a project meets the criteria of being a true global one Articulate global project needs based on the project grid and framework Identify and analyze global project stakeholders Recognize cultural differences and articulate how they impact project work Determine global project estimating, scheduling, and staffing challenges Assess global project risks and develop problem-solving responses Analyze complex cultural situations and align optimal project communication and negotiation tools and techniques Apply best practices for conducting virtual team work and mitigating virtual challenges Evaluate ways to control for global project scope, cost, and procurement Align customer management best practices with global customer needs Implement key global project closing activities Foundation Concepts What is a global project? What makes a global project different? A global project management framework Initiating the Global Project Launching a global project Respecting cultural differences Identifying and analyzing stakeholders Developing the communications plan Defining the ideal global project manager Crafting a global project charter Planning the Global Project Gathering requirements for a global project Defining the scope, region by region Estimating and scheduling for global projects Staffing the global project Developing the global risk management plan Executing the Global Project Managing global stakeholder expectations Embracing cultural diversity Honing global negotiation techniques Procuring goods and services on a global basis Managing global legal and regulatory issues at the micro and macro level Monitoring and Controlling the Global Project Status reporting Virtual communication Cost control Schedule control Scope control Customer satisfaction Closing the Global Project Contract closure at the macro and micro levels Administrative closure with global reach Lessons learned

Global Project Management: In-House Training: In-House Training In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. In today's increasingly global environment, managing a project with customers and support organizations spread across multiple countries and continents is a major challenge. From identifying stakeholders and gathering requirements, to planning, controlling, and executing the project, the basic logistics of a global project present their own standard challenges. However, with additional cultural, language-based, and regional elements, global projects involve more complexities than teams often realize. There are unique communication needs, cultural awareness elements, varying customs and work expectations, and critical legal differences to consider. In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. This will leverage you to problem solve differently on global projects, prevent problems, and ensure success. The goal is for you to effectively navigate the challenges of leading projects with multi-regional footprints and globally diverse sets of stakeholders. What you Will Learn At the end of this program, you will be able to: Determine when a project meets the criteria of being a true global one Articulate global project needs based on the project grid and framework Identify and analyze global project stakeholders Recognize cultural differences and articulate how they impact project work Determine global project estimating, scheduling, and staffing challenges Assess global project risks and develop problem-solving responses Analyze complex cultural situations and align optimal project communication and negotiation tools and techniques Apply best practices for conducting virtual team work and mitigating virtual challenges Evaluate ways to control for global project scope, cost, and procurement Align customer management best practices with global customer needs Implement key global project closing activities Foundation Concepts What is a global project? What makes a global project different? A global project management framework Initiating the Global Project Launching a global project Respecting cultural differences Identifying and analyzing stakeholders Developing the communications plan Defining the ideal global project manager Crafting a global project charter Planning the Global Project Gathering requirements for a global project Defining the scope, region by region Estimating and scheduling for global projects Staffing the global project Developing the global risk management plan Executing the Global Project Managing global stakeholder expectations Embracing cultural diversity Honing global negotiation techniques Procuring goods and services on a global basis Managing global legal and regulatory issues at the micro and macro level Monitoring and Controlling the Global Project Status reporting Virtual communication Cost control Schedule control Scope control Customer satisfaction Closing the Global Project Contract closure at the macro and micro levels Administrative closure with global reach Lessons learned

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Business Intelligence Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Use Cases for Business Analysis The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?

Use Cases for Business Analysis: In-House Training The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?

Duration 2 Days 12 CPD hours This course is intended for vSphere administrators, architects, system engineers, and systems integrators who are responsible for the deployment or management of Site Recovery Manager Overview By the end of the course, you should be able to meet the following objectives: Summarize the components of Site Recovery Manager architecture Deploy and configure the Site Recovery Manager appliance Describe the principal disaster recovery topologies that are used with Site Recovery Manager Configure inventory and resource mappings Describe the storage replication options that are used with Site Recovery Manager Configure Site Recovery Manager to leverage array-based replication Describe VMware vSphere Replication™ functionality Describe the vSphere Replication architecture Deploy and configure vSphere Replication for use with Site Recovery Manager Build Site Recovery Manager array-based protection groups, protection groups based on vSphere Replication, and Virtual Volumes protection groups. Build, edit, execute, test, and remove a recovery plan Perform a planned migration This two-day, hands-on training course gives experienced VMware vSphere© administrators the knowledge to install, configure, and manage VMware Site Recovery Manager? 8.6. This course also shows you how to write and test disaster recovery plans that use Site Recovery Manager. Course Introduction Introductions and course logistics Course objectives Site Recovery Manager Architecture Describe Site Recovery Manager architecture Identify disaster recovery options with Site Recovery Manager Evaluate how Site Recovery Manager integrates with VMware products Describe Site Recovery Manager licensing options List the disaster recovery topologies supported by Site Recovery Manager Describe how VMware Site Recovery for VMware Cloud on AWS integrates with Site Recovery Manager Deploying and Configuring Site Recovery Manager Identify the vSphere and vCenter Server requirements for deploying Site Recovery Manager Define Site Recovery Manager virtual appliance system requirements Deploy the Site Recovery Manager appliance Navigate the Site Recovery Manager configuration UI Describe the process for registering Site Recovery Manager with vCenter Server Describe how to start and stop services in Site Recovery Manager Identify ways to perform updates to the Site Recovery Manager appliance Describe the options for accessing the Site Recovery Manager Describe the process for configuring site pairing Describe how to import and export Site Recovery Manager configuration Navigate the Site Recovery Manager configuration UI Describe the process for registering Site Recovery Manager with vCenter Server Describe how to start and stop services in Site Recovery Manager Identify ways to perform updates to the Site Recovery Manager appliance Describe the options for accessing the Site Recovery Manager Describe the process for configuring site pairing Describe how to import and export Site Recovery Manager configuration Configuring Inventory Mappings Explain the importance of inventory mappings Identify configuration options for inventory mappings Describe the importance of placeholder virtual machines and datastores Describe the importance of the vSphere inventory changes for Site Recovery Manager operation Using Array-Based Replication Describe array-based replication Describe Storage Replication Adapters and explain their role for the array-based replication Describe the concept and configuration of array pairs Describe datastore groups and the relationship between devices and datastore groups Describe the role of consistency groups Identify the advantages of array-based replication vSphere Replication Describe Site Recovery Manager with vSphere Replication Architecture Discuss the role of vSphere Replication components Discuss use cases for vSphere Replication Discuss system requirements and operational limits of vSphere Replication Determine how to calculate bandwidth requirements for vSphere Replication Identify the advantages of vSphere Replication Deploy a vSphere Replication appliance Configure a vSphere Replication appliance and register it with vCenter Server Pair vSphere Replication appliances Deploy an additional vSphere Replication server Register a vSphere Replication server with a vSphere Replication management server Replicating VMs Using vSphere Replication Describe the replication process used by vSphere Replication List vSphere Replication replica states Describe vSphere Replication of encrypted virtual machines Describe vSphere native key provider Describe how to configure vSphere Replication Discuss vSphere Replication RPO settings Describe MPIT instances Describe additional vSphere Replication settings Describe how to disable vSphere Replication Protection Groups Define protection group functionality Examine the differences between array-based protection groups, protection groups based on vSphere Replication, and Virtual Volumes protection groups Create a protection group View a placeholder virtual machine in the inventory Configure protection for virtual machines and edit protection groups Recovery Plans Discuss recovery plan concepts Discuss network planning Discuss the organization of storage for recovery plans Describe customization options in recovery planning Describe priority groups and VM dependencies Describe how to implement a recovery plan Configure VM recovery plan properties Describe the customization of recovery plans Configure additional steps in the recovery plan Delete a recovery plan Executing Recovery Plans Discuss use cases for Site Recovery Manager Describe planned migration Identify Site Recovery Manager workflows Examine Site Recovery Manager integration with various vSphere technologies Describe how to conduct a recovery plan test Perform a recovery plan test Identify the effect on the storage layer during the test recovery steps Review the recovery plan test steps Describe how to cancel a recovery plan test and clean up after recovery plan test cancelation Explain a recovery plan execution in planned migration or disaster recovery mode Identify the recovery steps for each execution type Describe a forced recovery Explain the importance of reprotection processes and states Examine failback steps Describe how to reprotect a data center Monitoring and Troubleshooting Identify Site Recovery Manager alarm options Generate Site Recovery Manager recovery plan history reports Configure Site Recovery Manager advanced settings Identify Site Recovery Manager logs Describe the vRealize Operations management pack for Site Recovery Manager

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for AWS IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants will get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. Define the components of Google's network infrastructure,including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) Getting Started with Google Cloud Identify the purpose of projects on Google Cloud Platform. Understand how AWS?s resource hierarchy differs from Google Cloud?s. Understand the purpose of and use cases for Identity and Access Management. Understand how AWS IAM differs from Google Cloud IAM. List the methods of interacting with Google Cloud Platform. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Understand how Amazon VPC differs from Google VPC. Understand the similarities and differences between Amazon EC2 and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in AWS. Deploy applications using Google Compute Engine. Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage,Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Amazon S3 and Amazon Glacier compare to Cloud Storage. Compare Google Cloud?s managed database services with Amazon RDS and Amazon Aurora. Learn how to choose among the various storage options on Google Cloud Platform. Load data from Cloud Storage into BigQuery. Perform a query on the data in BigQuery. Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Amazon Elastic Beanstalk. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Cloud Deployment Manager differs from AWS CloudFormation. Understand the purpose of integrated monitoring, alerting, and debugging. Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from AWS Data Lake. Understand how Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from AWS's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data. Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from AWS to Google Cloud. Additional course details: Nexus Humans Google Cloud Fundamentals for AWS Professionals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Google Cloud Fundamentals for AWS Professionals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This course is suitable for anyone responsible for configuring, managing or supporting a Veeam Availability Suite v11 environment. This includes Senior Engineers and Architects responsible for creating architectures for Veeam environments. Overview After completing this course, attendees should be able to: Describe Veeam Availability Suite components usage scenarios and relevance to your environment. Effectively manage data availability in on-site, off-site, cloud and hybrid environments. Ensure both Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs) are met. Configure Veeam Availability Suite to ensure data is protected effectively. Adapt with an organization's evolving technical and business data protection needs. Ensure recovery is possible, effective, efficient, secure and compliant with business requirements. Provide visibility of the business data assets, reports and dashboards to monitor performance and risks. Design and architect a Veeam solution in a real-world environment Describe best practices, review an existing infrastructure and assess business/project requirements Identify relevant infrastructure metrics and perform component (storage, CPU, memory) quantity sizing Provide implementation and testing guidelines in line with designs Innovatively address design challenges and pain points, matching appropriate Veeam Backup & Replication features with requirements Veeam Certified Architect is the highest level of Veeam technical certifications. Engineers who complete both Veeam Availability Suite v11: Configuration and Management and Veeam Backup & Replication V11: Architecture and Design programs (courses + exams) will be granted with the 'Veeam Certified Architect' (VMCA) title by Veeam. Introduction Veeam Availability Suite v11: Configuration and Management Describe RTOs and RPOs, what they mean for your business, how to manage and monitor performance against them The 3-2-1 Rule and its importance in formulating a successful backup strategy Identify key Veeam Availability Suite components and describe their usage scenarios and deployment types Building backup capabilities Backup methods, the appropriate use cases and impact on underlying file systems Create, modify, optimize and delete backup jobs, including Agents and NAS Backup jobs. Explore different tools and methods to maximize environment performance Ensure efficiency by being able to select appropriate transport modes while being aware of the impact of various backup functions on the infrastructure Building replication capabilities Identify and describe the options available for replication and impacts of using them Create and modify replication jobs, outline considerations to ensure success Introduce the new Continuous Data Protection (CDP) policy Secondary backups Simple vs. advanced backup copy jobs, how to create and modify them using best practices to ensure efficient recovery Discuss using tapes for backups Advanced repository capabilities Ensure repository scalability using a capability such as SOBR on-premises and off-site including integration with cloud storage Ensure compatibility with existing deduplication appliances Introduce the new hardened repository Protecting data in the cloud Review how Veeam can protect the data of a cloud native application Review how Veeam Cloud Connect enables you to take advantage of cloud services built on Veeam Review how Veeam can be used to protect your Office 365 data Restoring from backup Ensure you have the confidence to use the correct restore tool at the right time for restoring VMs, bare metal and individual content such as files and folders Utilize Secure Restore to prevent the restoration of malware Describe how to use Staged Restore to comply with things like General Data Protection Regulation (GDPR) before releasing restores to production Identify, describe and utilize the different explores and instant recovery tools and features Recovery from replica Identify and describe in detail, failover features and the appropriate usage Develop, prepare and test failover plans to ensure recovery Disaster recovery from replica to meet a variety of real-world recovery needs Testing backup and replication Testing backups and replicas to ensure you can recover, what you need, when you need to Configure and setup virtual sandbox environments based on backup, replicas and storage snapshots Veeam Backup Enterprise Manager and Veeam ONE Introduce the concept of monitoring your virtual, physical and cloud environments with Veeam Backup Enterprise Manager and Veeam ONE? Configuration backup Locate, migrate or restore backup configuration Introduction Veeam Backup & Replication v11: Architecture and Design Review the architecture principles Explore what a successful architecture looks like Review Veeam?s architecture methodology Discovery Analyze the existing environment Uncover relevant infrastructure metrics Uncover assumptions and risks Identify complexity in the environment Conceptual design Review scenario and data from discovery phase Identify logical groups of objects that will share resources based on requirements Create a set of detailed tables of business and technical requirements, constraints, assumptions and risks Review infrastructure data with each product component in mind Create high level design and data flow Logical design Match critical components and features of VBR with requirements Create logical groupings Determine location of components and relationship to logical grouping Aggregate totals of component resources needed per logical grouping Calculate component (storage, CPU, memory) quantity sizing Physical/tangible design Convert the logical design into a physical design Physical hardware sizing Create a list of physical Veeam backup components Implementation and Governance Review physical design and implantation plan Review Veeam deployment hardening Describe the architect?s obligations to the implementation team Provide guidance on implementation specifics that relate to the design Validation and Iteration Provide framework for how to test the design Further develop the design according to a modification scenario