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A Cloud Guru | Go Serverless with a Graph Database [FCO]

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File	Size
0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url	377.00 B
0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url	286.00 B
0. Websites you may like/2. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, & more.etc.url	163.00 B
0. Websites you may like/3. (FTUApps.com) Download Cracked Developers Applications For Free.url	239.00 B
0. Websites you may like/How you can help our Group!.txt	208.00 B
01 Introduction and Overview of Graph Data Theory/001 Welcome.mp4	24.31 MB
01 Introduction and Overview of Graph Data Theory/002 Advanced AWS CloudFormation (A Cloud Guru course).txt	54.00 B
01 Introduction and Overview of Graph Data Theory/002 AWS Cost Control (A Cloud Guru course).txt	43.00 B
01 Introduction and Overview of Graph Data Theory/002 Course Overview.mp4	46.51 MB
01 Introduction and Overview of Graph Data Theory/002 Course Repo.txt	83.00 B
01 Introduction and Overview of Graph Data Theory/002 Introduction to Amazon RDS (A Cloud Guru Course).txt	34.00 B
01 Introduction and Overview of Graph Data Theory/002 Introduction to AWS CloudFormation (A Cloud Guru course).txt	51.00 B
01 Introduction and Overview of Graph Data Theory/002 S3 Masterclass (A Cloud Guru course).txt	41.00 B
01 Introduction and Overview of Graph Data Theory/002 The Serverless Framework with GraphQL (A Cloud Guru course).txt	50.00 B
01 Introduction and Overview of Graph Data Theory/003 Graph Databases and the Face Categorising Project.mp4	17.58 MB
01 Introduction and Overview of Graph Data Theory/003 Supplied Photos (for Project).txt	102.00 B
01 Introduction and Overview of Graph Data Theory/004 Amazon Neptune 10000 Feet View.mp4	10.40 MB
01 Introduction and Overview of Graph Data Theory/004 AWS Neptune FAQs (AWS site).txt	37.00 B
01 Introduction and Overview of Graph Data Theory/005 Amazon Neptune Graph Models.mp4	14.28 MB
01 Introduction and Overview of Graph Data Theory/006 Property Graph Model.mp4	8.39 MB
01 Introduction and Overview of Graph Data Theory/007 Resource Description Framework (RDF) Graph Model.mp4	22.65 MB
01 Introduction and Overview of Graph Data Theory/008 Chapter 1 Resources.md	117.00 B
01 Introduction and Overview of Graph Data Theory/008 Course GitHub Repo.txt	83.00 B
01 Introduction and Overview of Graph Data Theory/008 Lab Getting Set Up for this Course.mp4	35.46 MB
02 Playing with Amazon Neptune Query Languages/001 Chapter Introduction.mp4	13.34 MB
02 Playing with Amazon Neptune Query Languages/002 Apache Tinkerpop and the Console.mp4	43.43 MB
02 Playing with Amazon Neptune Query Languages/003 Introducing the Gremlin Query Language.mp4	18.23 MB
02 Playing with Amazon Neptune Query Languages/004 Chapter 2 Resources.txt	104.00 B
02 Playing with Amazon Neptune Query Languages/004 LAB Using the Apache Tinkerpop Console.mp4	45.12 MB
02 Playing with Amazon Neptune Query Languages/005 An Alternate Query Language - SPARQL.mp4	23.30 MB
03 Setting Up an App that will Interact with Neptune/001 Chapter 3 Resources.txt	104.00 B
03 Setting Up an App that will Interact with Neptune/001 Chapter Introduction.mp4	12.95 MB
03 Setting Up an App that will Interact with Neptune/002 Understanding the Neptune and API Stacks.mp4	15.77 MB
03 Setting Up an App that will Interact with Neptune/003 Understanding the Neptune CloudFormation.mp4	31.34 MB
03 Setting Up an App that will Interact with Neptune/004 Understanding the API CloudFormation.mp4	34.76 MB
03 Setting Up an App that will Interact with Neptune/005 LAB Spin Up the Neptune Stack.mp4	10.47 MB
03 Setting Up an App that will Interact with Neptune/006 LAB Spin Up the API Stack.mp4	7.95 MB
03 Setting Up an App that will Interact with Neptune/007 Cleaning Up to Save.mp4	2.19 MB
03 Setting Up an App that will Interact with Neptune/008 LAB Removing the Stacks.mp4	7.60 MB
04 Creating a Useful Dataset/001 Chapter 4 Resources.txt	104.00 B
04 Creating a Useful Dataset/001 Chapter Introduction.mp4	4.58 MB
04 Creating a Useful Dataset/002 Creating Graph Data with Rekognition.mp4	16.80 MB
04 Creating a Useful Dataset/003 Understanding the Rekognition Stack.mp4	28.16 MB
04 Creating a Useful Dataset/004 LAB Creating Graph Data from Rekognition.mp4	15.32 MB
04 Creating a Useful Dataset/005 Updates to the Neptune and API Stacks for Loading Data.mp4	16.66 MB
04 Creating a Useful Dataset/006 LAB Loading Data into Neptune.mp4	26.29 MB
04 Creating a Useful Dataset/007 Rekognition Data that Suits RDF.mp4	12.30 MB
05 Working with our Data via the App/001 Chapter 5 Resources.txt	104.00 B
05 Working with our Data via the App/001 Neptune Web UI Overview.mp4	12.09 MB
05 Working with our Data via the App/002 LAB Modifying the Query Lambda.mp4	27.63 MB
05 Working with our Data via the App/003 LAB Running the Neptune Web UI.mp4	59.44 MB
06 Conclusion/001 Building on our Serverless Graph Database Solution.mp4	97.02 MB
06 Conclusion/001 Chapter 6 Resources.txt	104.00 B
06 Conclusion/002 Thank You and Goodbye.mp4	16.50 MB

Description

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Forum for discussion >>> https://1hack.us/

By: Steve Roberts
Publisher: ACloud.Guru
Released: 2020
Course Source: https://acloud.guru/learn/aws-go-serverless-graph-database

Leverage the power of graph databases for your next serverless project

Description

Hello Cloud Gurus,

Graph Databases like Amazon Neptune are incredibly powerful but relatively underappreciated. In this course, we will dive in to Neptune to see how and why it might be right for your Serverless applications. At the end of this course you will be able to spin up a Graph Database stack and a simple web application to leverage your graph data. We’ll achieve this with serverless framework and cloudformation, meaning you learn a lot more than just one AWS service in this course!

The app we build is also great fun and very practical. It’s a face categorisation app using family photographs (you can use your own if you like, or use the supplied images), leveraging data that we will generate from the Amazon Rekognition service. With this tool we might just be able to finally sort out those hundreds of thousands of family photos that we all have lying around. Now you can easily find all those photos of your Grand Aunt quickly and accurately!

This is a beginner to intermediate-level course. We will be writing a bit of code and setting up (and removing) quite a lot of infrastructure in AWS. Prior coding experience is nice to have. The course will definitely be easier to follow if you have a bit of an understanding of JavaScript (Node) and CloudFormation. For those who don’t have this experience, don’t worry – at key points in the course when we write code or modify CloudFormation templates, we will point out relevant chapters in other A Cloud Guru courses that will help you learn these areas in more detail.

In this course, you’ll learn:

• What graph databases are, and how they differ from other data storage and why/when to use them.
• How to set up and run an AWS Neptune instance.
• How to use the Gremlin and SPARQL query languages.
• How to bulk upload data into AWS Neptune.
• How to use Amazon Rekognition to analyze photos for faces.
• How to create a simple Node.js API and UI endpoint for interacting with your graph data in a web interface.

So what are you waiting for, Cloud Gurus! If you work in a software development team, you are a tech manager or a business person who is technically minded, join me in this course to discover what graph databases are and what they can do for you and your serverless project.

EXPECTED OUTCOMES

• You will be able to identify use cases where graph data is an appropriate data storage solution
• You will be able to demonstrate and understanding of how to work with graph data using popular query languages
• You will be able to demonstrate a familiarity with why complex AWS infrastructure is often needed, particularly with secure managed services like Neptune.
• You will be able to create an API and user interface to make graph data analysis accessible to you and your stakeholders.

INTENDED AUDIENCE

• Developers wanting to orient themselves around the cloud application development landscape.
• Technical managers whose teams are moving to cloud technology.
• Those involved with technical teams, including quality assurance, operations, production management and project management.

PREREQUISITES

• An AWS account
• Around 100 to 200 family photos, where similar people appear in many photos (Optional, a sample set with be provided)

About Author

Steve Roberts

Hi I'm Steve. I've had pretty much any job possible to do with creating software products, but have finally settled down as a manager so I can sneakily continue to get involved in everything and anything. More recently I have taken to exploring in AWS in my spare time (primarily through my open source photo archive project - fotopia: https://github.com/mbudm/fotopia-serverless). I find projects are the best way to really deep dive into all the new cloud toys that I then apply to client projects in my day job. Having lived through the dark days of software development where we FTP'd things to servers in the broom closet and version control was optional I'm amazed and excited at how powerful and relatively idiot proof the technologies of today have become.