Inhalt: Learn what you need to know to implement cloud-based big data solutions using the right mix of Amazon Web Services-from big data and cloud architect and AWS community hero Lynn Langit. Starting with top-level categories of storage, data, computer, and services, Lynn guides you through planning your ideal AWS architecture, providing service demos using the AWS Console, command-line interface, and other tools. Learn when to use which service for which business case, such as Docker or Lambda or DynamoDB or Aurora? She shows how to script creation of services such as S3 buckets and EC2 instances, create and populate a managed data warehouse, and develop a data processing pipeline that works for you. Chapter 6 covers the AWS Internet of Things (IoT) services. These exercises can help you build proof-of-concepts, minimum viable products, and deployable solutions to scale and support big data initiatives at your company. Umfang: 03:56:01.00
Inhalt: Amazon Web Services (AWS) offers a wealth of services and tools that help data scientists leverage machine learning to craft better, more intelligent solutions. In this course, learn about patterns, services, processes, and best practices for designing and implementing machine learning using AWS. Instructor Lynn Langit takes a look at general machine learning concepts, including key machine learning algorithm types. She also examines available service types, such as AWS Machine Learning, Lex, Polly, and Rekognition, which you can use to predict image and video labels. Plus, she steps through how to work with platforms like AWS SageMaker, which includes hosted Jupyter notebooks. Umfang: 03:07:23.00
Inhalt: Learn how to use Amazon Web Services (AWS) tools and best practices to understand, forecast, and control service costs. This course covers core AWS tools, such as CloudWatch billing alarms, consolidated billing with AWS Organizations, and the AWS billing dashboard tools. Instructor Lynn Langit shows how to control costs through key services, such as EC2, S3, RDS, and more. She also goes over how to best leverage third-party tools, and reviews architectural decisions related to cost control drawn from her own professional experiences. Umfang: 02:31:52.00
Inhalt: Many modern organizations have a wealth of data that they can draw from to inform their decisions. But all of this information can''t truly benefit a business unless the professionals working with that data can efficiently extract meaningful insights from it. Amazon Web Services (AWS) offers data scientists an array of tools and services that they can leverage to analyze data. In this course, learn about best practices, patterns, and tools for designing and implementing data analytics using AWS. Explore key analytics concepts, common methods of approaching analytics challenges, and how to work with services such as Athena, RDS, and QuickSight. Plus, discover how to visualize text-based data in a more visually intuitive way, use partner solutions for analytics from the AWS Marketplace, and more. Umfang: 02:49:23.00
Inhalt: Why use Amazon Web Services for data storage? AWS provides big data services at a small cost, offering one of the most full-featured and scalable solution sets around. Start here to explore your storage and framework options when working with data services on the Amazon cloud. Your guide, Lynn Langit, a working big data architect, helps you navigate the options when it comes to file storage, relational and NoSQL data storage, data warehousing, graph and ledger databases, and data lakes. Plus, learn how to run open-source processing tools such as Hadoop and Spark on AWS and leverage new serverless data services, including Athena serverless queries and the auto-scaling version of the Aurora relational database service, Aurora Serverless. Umfang: 03:11:35.00
Inhalt: Learn about the capabilities of Amazon WorkSpaces as a remote desktop solution. In this course, instructor Lynn Langit helps to acquaint you with this fully managed desktop as a service (DaaS) solution, as well as other Amazon services that support virtualization. Lynn shows how to use default images and shares best practices for creating custom images. She also discusses WorkSpaces authentication and deployment, shares monitoring tips and techniques, explains how to use WorkDocs with WorkSpaces, and more. Umfang: 01:34:55.00
Inhalt: Regulations like GDPR have made security a top priority for every organization. Luckily, Amazon Web Services offers a plethora of tools for securing cloud-based architecture. This course teaches IT pros how to use AWS advanced security services, techniques, and tools to protect their users, data, apps, and infrastructure. Instructor Lynn Langit begins with the core tasks and services: setting up the AWS root account, billing, and tagging. She then shows how to set up strong authentication with AWS Identity and Access Management (IAM), Config, Simple AD, and full-fledged Active Directory. She covers infrastructure protection with VPC objects such as subnets, and data protection with KMS and Macie. Finally, she reviews security requirements for different application architectures and the associated AWS security solutions. Note: This course can also be used to prepare for the corresponding domain of the AWS Certified Solutions Architect (Professional) exam. Umfang: 03:06:05.00
Inhalt: Discover how to get your apps in front of users as soon as possible-and ensure that those same apps are highly available-by leveraging continuous deployment (CD) and high availability (HA) strategies. This course shows IT pros how to use AWS CD and HA services, techniques, and tools. Instructor Lynn Langit covers key concepts around both CD and HA, including the impact of AWS regions and availability zones on HA design. She also goes over key services such as Step Functions, shows how to work with common application patterns, and discusses how to implement CD and HA. This course can also prepare you for the High Availability and Business Continuity domain in the AWS Certified Solutions Architect - Professional exam. Umfang: 02:06:18.00
Inhalt: Discover how to properly scale applications on the Amazon ecosystem. This course shows IT pros how to use AWS network and data storage design scalability services, techniques, and tools. Throughout the course, instructor Lynn Langit covers scaling networks around server-based and serverless application architectures, as well as scaling files and data. Learn how to use migration tools such as Server Migration Service, explore scaling considerations for hybrid scenarios, and review how best to scale common architectures. This course can also prepare you for the Network Design domain in the AWS Certified Solutions Architect - Professional exam. Umfang: 02:16:57.00
Inhalt: Amazon Web Services (AWS) has several powerful features and services that support processes automation and continuous delivery. Learn how to leverage several core services, including CodeCommit, CodeBuild, CodeDeploy and CodePipeline. See how to use the AWS command line interface to write and run scripts for automations. Discover best practices you can follow, and third-party tools you can use, to successfully set up automated processes and implement continuous delivery, and find out how to effectively manage application updates. This course can also be used as an exam preparation resource, as it covers the topics in the first domain of the AWS Certified DevOps Engineer exam: Continuous Delivery and Process Automation. Umfang: 02:02:53.00
Inhalt: In this course, instructor Lynn Langit teaches learners how to use AWS design patterns, tools, and best practices for high availability (HA) and effective application scaling (elasticity). This includes the use of AWS patterns for HA and scaling in both serverless and server-based applications, along with approaches for front-end, middle, and database application tiers. Plus, learn to use the core scripting tool-the AWS CLI-to write and run scripts for automation, and scale your solutions up, down, in, and out. Umfang: 02:33:08.00
Inhalt: Enhance your development operations by learning how to work with monitoring tools from Amazon for services and applications. In this course, Lynn Langit explains how to use practical and applicable tools, techniques, and strategies for instrumenting your production AWS applications. She shows how to use product consoles, such as EC2, S3, and RDS. She also discusses and demonstrates using services-such as CloudTrail, CloudFormation, and the newly-announced X-Ray-for monitoring, gathering key metrics, and logging your application's output. Plus, she covers AWS scripting tools, such as the AWS CLI. This course maps to the Monitoring, Metrics, and Logging domain from the AWS Certified DevOps Engineer - Professional exam. Umfang: 02:41:00.00
Inhalt: In this course-which was designed for DevOps professionals working with the AWS cloud-learn about AWS tools and best practices for security, governance, and validation. Instructor Lynn Langit covers different security and governance approaches, including outcome-based validation with service level agreements, outcome-based security with audits, and protecting data in-flight and at-rest. Lynn discusses using AWS tools such as CloudWatch, CloudTrail, and Inspector for security monitoring. Plus, she shows how to use third-party security and governance tools, and shares cost control approaches for AWS service billing. This course can also be used as an exam preparation resource, as it covers the topics in the third domain of the AWS Certified DevOps Engineer exam: Security, Governance, and Validation. Umfang: 02:40:35.00
Inhalt: Learn how to use Amazon Web Services (AWS) tools and best practices to understand, forecast, and control service costs. This course covers core AWS tools, such as CloudWatch billing alarms, consolidated billing with AWS Organizations, and the AWS billing dashboard tools. Instructor Lynn Langit shows how to control costs through key services, such as EC2, S3, RDS, and more. She also reviews architectural decisions related to cost control drawn from her own professional experiences. Umfang: 02:35:49
Inhalt: Apache Spark and Microsoft Azure are two of the most in-demand platforms and technology sets in use by today's data science teams. These two platforms join forces in Azure Databricks' an Apache Spark-based analytics platform designed to make the work of data analytics easier and more collaborative. In this course, Lynn Langit digs into patterns, tools, and best practices that can help developers and DevOps specialists use Azure Databricks to efficiently build big data solutions on Apache Spark. Lynn covers how to set up clusters and use Azure Databricks notebooks, jobs, and services to implement big data workloads. She also explores data pipelines with Azure Databricks-including how to use ML Pipelines-as well as architectural patterns for machine learning. Umfang: 02:52:18.00
Inhalt: Have you already earned the AWS Certified Solutions Architect - Associate credential and advanced your understanding of how to design and deploy cloud architecture on AWS? If so, becoming an AWS Certified Solutions Architect - Professional can help you take your IT career to the next level. In this course, learn about the benefits of the certification, who it's designed for, and how to best prepare for the core exam topic areas. Lynn Langit provides a general overview of the exam domains, including data security and costing. Lynn also explains where to find key study resources, such as AWS whitepapers, architectural guidance, and other LinkedIn Learning training courses. Umfang: 01:07:41.00
Inhalt: Do you want to start a career in cloud computing, but don't know where to begin? If so, this course can help by providing an ideal foundational mapping of the career paths and certifications that IT professionals should consider if they're interested in transitioning to cloud computing. Instructor and cloud architect Lynn Langit covers a variety of career paths, including IT pro, developer, analyst, and architect roles. Throughout the course, she focuses on the major cloud platforms-AWS, Microsoft Azure, Google, and Alibaba-discusses certifications available for each, and explores the future of cloud computing careers. Umfang: 01:20:18.00
Inhalt: Do you want to start a career in cloud computing, but don't know where to begin? Whether you're an IT professional or a computer science student, this course can help by providing an ideal foundational mapping of the career paths and certifications that you should consider if you're interested in transitioning to cloud computing. Instructor and cloud architect Lynn Langit covers a variety of career paths, including IT pro, developer, analyst, and architect roles. Throughout the course, she focuses on the major cloud platforms-AWS, Microsoft Azure, Google, and Alibaba-discusses certifications available for each, and explores the future of cloud computing careers. Lynn discusses machine learning, virtualization, networking, scripting, and more. Umfang: 01:30:29
Inhalt: Apache Hadoop and Spark make it possible to generate genuine business insights from big data. The Amazon cloud is natural home for this powerful toolset, providing a variety of services for running large-scale data-processing workflows. Learn to implement your own Apache Hadoop and Spark workflows on AWS in this course with big data architect Lynn Langit. Explore deployment options for production-scaled jobs using virtual machines with EC2, managed Spark clusters with EMR, or containers with EKS. Learn how to configure and manage Hadoop clusters and Spark jobs with Databricks, and use Python or the programming language of your choice to import data and execute jobs. Plus, learn how to use Spark libraries for machine learning, genomics, and streaming. Each lesson helps you understand which deployment option is best for your workload. Umfang: 03:13:26.00
Inhalt: NoSQL databases can store nonrelational data on a super large scale and solve problems regular databases can't handle: indexing the entire internet, predicting subscriber behavior, or targeting ads on a platform as large as Facebook. But with over 150 NoSQL database types, it can be hard for a SQL professional to know where to start. In this course, Lynn Langit breaks down these types into a few main categories and shows how to get your own NoSQL database up and running with easy-to-configure cloud solutions. Learn how to add and query data, apply the CAP theorem with NoSQL, and leverage key NoSQL trends such as multifunctionality and data lake NoSQL alternatives. Plus, explore AWS and GCP NoSQL database services such as DynamoDB, ElastiCache, and Bigtable. Umfang: 02:39:55.00
Inhalt: You might have heard that GitHub is a great way to find a developer job. The question is, how? For as many great contributions you've made, it's all for naught if they go unnoticed. So how do you stand out? In this course, Lynn Langit shows you how to create a GitHub profile that will stand out from the crowd. She covers basics from working with your profile image and contributing code, to modifying the default GitHub template and personalizing your custom profile. This course is designed to help developers present a profile that is attractive to employers and will help you land the job you want. For a career in software development, your GitHub profile tells potential employers a great deal about who you are, what you do, and where your interests lie. Umfang: 00:41:29
Inhalt: Is Google Cloud Platform (GCP) right for your business? Explore the offerings of this leading cloud services provider. This course is designed for IT professionals-architects, network admins, and technology stakeholders-evaluating GCP for their organizations as well as those tasked with getting apps up and running on the Google cloud. Learn how to set up an account and use the console, APIs, Cloud Shell, and other GCP tools. Then explore the core services-serverless computing, data storage, and machine learning-and the developer tools that Google provides for building your own custom solutions. Along the way, instructor Lynn Langit shows how to use GCP to manage virtual machines, Docker containers, Kubernetes clusters, functions, relational data stores, NoSQL data, and more. She also shares practical tips for saving money and planning deployments, and reviews examples of common architectural patterns. Umfang: 03:20:40.00
Inhalt: Is Google Cloud Platform (GCP) right for your business? Explore the offerings of this leading cloud services provider. This course is designed for IT professionals-architects, network admins, and technology stakeholders-evaluating GCP for their organizations as well as those tasked with getting apps up and running on the Google cloud. Learn how to set up an account and use the console, APIs, Cloud Shell, and other GCP tools. Then explore the core services-serverless computing, data storage, and machine learning-and the developer tools that Google provides for building your own custom solutions. Along the way, instructor Lynn Langit shows how to use GCP to manage virtual machines, Docker containers, Kubernetes clusters, functions, relational data stores, NoSQL data, and more. She also shares practical tips for saving money and planning deployments, and reviews examples of common architectural patterns. Umfang: 03:49:31
Inhalt: Is Google Cloud Platform (GCP) the right choice for your enterprise application? GCP now has the enterprise-level features large organizations demand: IAM security, custom encryption, NoSQL database support, and cloud-native continuous integration and deployment. This course helps enterprise architects, network admins, and technology stakeholders evaluate and implement GCP services for their organizations. Learn how GCP addresses enterprise concerns-from reliability to partner integration-and discover the scenarios where it shines, including data warehousing and disaster recovery. See how GCP solutions-serverless computing, data storage, and data pipelines-map to these different scenarios, and explore the developer and DevOps tools that Google provides for building your own custom solutions. Along the way, instructor Lynn Langit shows how to use GCP to manage virtual machines, Docker containers, Kubernetes clusters, relational data stores, NoSQL data, data lakes, and more. She also shares practical tips for saving money, planning deployments, and integrating compatible services. Umfang: 03:40:57.00
Inhalt: Is Google Cloud Platform (GCP) the right choice for your enterprise application? GCP now has the enterprise-level features large organizations demand: IAM security, custom encryption, NoSQL database support, and cloud-native continuous integration and deployment. This course helps enterprise architects, network admins, and technology stakeholders evaluate and implement GCP services for their organizations. Learn how GCP addresses enterprise concerns-from reliability to partner integration-and discover the scenarios where it shines, including data warehousing and disaster recovery. See how GCP solutions-serverless computing, data storage, and data pipelines-map to these different scenarios, and explore the developer and DevOps tools that Google provides for building your own custom solutions. Along the way, instructor Lynn Langit shows how to use GCP to manage virtual machines, Docker containers, Kubernetes clusters, relational data stores, NoSQL data, data lakes, and more. She also shares practical tips for saving money, planning deployments, and integrating compatible services. Umfang: 03:41:35
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