[FreeCoursesOnline Me] A Cloud Guru Go Serverless with a Graph Database
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| Torrent Hash : | 36B9FB08185469E86B853155CF23C6F003A4E6FC |
| Torrent Added : | 1 Year+ in Other - Other |
| Torrent Size : | 778.79 MB |
[FreeCoursesOnline Me] A Cloud Guru Go Serverless with a Graph Database
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Torrent File Content (54 files)
[FreeCoursesOnline.Me] A Cloud Guru - Go Serverless with a Graph Database
0. Websites you may like
0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url -
0. Websites you may like
0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url -
377 bytes
1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url -
286 bytes
2. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, & more.etc.url -
163 bytes
3. (FTUApps.com) Download Cracked Developers Applications For Free.url -
239 bytes
How you can help our Group!.txt -
208 bytes
01 Introduction and Overview of Graph Data Theory
001 Welcome.mp4 -
001 Welcome.mp4 -
24.31 MB
002 AWS Cost Control (A Cloud Guru course).txt -
43 bytes
002 Advanced AWS CloudFormation (A Cloud Guru course).txt -
54 bytes
002 Course Overview.mp4 -
46.51 MB
002 Course Repo.txt -
83 bytes
002 Introduction to AWS CloudFormation (A Cloud Guru course).txt -
51 bytes
002 Introduction to Amazon RDS (A Cloud Guru Course).txt -
34 bytes
002 S3 Masterclass (A Cloud Guru course).txt -
41 bytes
002 The Serverless Framework with GraphQL (A Cloud Guru course).txt -
50 bytes
003 Graph Databases and the Face Categorising Project.mp4 -
17.58 MB
003 Supplied Photos (for Project).txt -
102 bytes
004 AWS Neptune FAQs (AWS site).txt -
37 bytes
004 Amazon Neptune 10000 Feet View.mp4 -
10.4 MB
005 Amazon Neptune Graph Models.mp4 -
14.28 MB
006 Property Graph Model.mp4 -
8.39 MB
007 Resource Description Framework (RDF) Graph Model.mp4 -
22.65 MB
008 Chapter 1 Resources.md -
117 bytes
008 Course GitHub Repo.txt -
83 bytes
008 Lab Getting Set Up for this Course.mp4 -
35.46 MB
02 Playing with Amazon Neptune Query Languages
001 Chapter Introduction.mp4 -
001 Chapter Introduction.mp4 -
13.34 MB
002 Apache Tinkerpop and the Console.mp4 -
43.43 MB
003 Introducing the Gremlin Query Language.mp4 -
18.23 MB
004 Chapter 2 Resources.txt -
104 bytes
004 LAB Using the Apache Tinkerpop Console.mp4 -
45.12 MB
005 An Alternate Query Language - SPARQL.mp4 -
23.3 MB
03 Setting Up an App that will Interact with Neptune
001 Chapter 3 Resources.txt -
001 Chapter 3 Resources.txt -
104 bytes
001 Chapter Introduction.mp4 -
12.95 MB
002 Understanding the Neptune and API Stacks.mp4 -
15.77 MB
003 Understanding the Neptune CloudFormation.mp4 -
31.34 MB
004 Understanding the API CloudFormation.mp4 -
34.76 MB
005 LAB Spin Up the Neptune Stack.mp4 -
10.47 MB
006 LAB Spin Up the API Stack.mp4 -
7.95 MB
007 Cleaning Up to Save.mp4 -
2.19 MB
008 LAB Removing the Stacks.mp4 -
7.6 MB
04 Creating a Useful Dataset
001 Chapter 4 Resources.txt -
001 Chapter 4 Resources.txt -
104 bytes
001 Chapter Introduction.mp4 -
4.58 MB
002 Creating Graph Data with Rekognition.mp4 -
16.8 MB
003 Understanding the Rekognition Stack.mp4 -
28.16 MB
004 LAB Creating Graph Data from Rekognition.mp4 -
15.32 MB
005 Updates to the Neptune and API Stacks for Loading Data.mp4 -
16.66 MB
006 LAB Loading Data into Neptune.mp4 -
26.29 MB
007 Rekognition Data that Suits RDF.mp4 -
12.3 MB
05 Working with our Data via the App
001 Chapter 5 Resources.txt -
001 Chapter 5 Resources.txt -
104 bytes
001 Neptune Web UI Overview.mp4 -
12.09 MB
002 LAB Modifying the Query Lambda.mp4 -
27.63 MB
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