Spark-The-Definitive-Guide
datadelivery
| Spark-The-Definitive-Guide | datadelivery | |
|---|---|---|
| 1 | 1 | |
| 2,734 | 1 | |
| 0.0% | - | |
| 10.0 | 5.3 | |
| almost 4 years ago | 3 months ago | |
| Scala | HCL | |
| GNU General Public License v3.0 or later | - |
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Spark-The-Definitive-Guide
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datadelivery: Providing public datasets to explore in AWS
Spark - The Definitive Guide
datadelivery
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datadelivery: Providing public datasets to explore in AWS
To do such a thing, I declared some useful variables into a locals.tf Terraform file as you can see below:
What are some alternatives?
LearningSparkV2 - This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
Fast-Terraform - This repo covers Terraform (Infrastructure as Code) with LABs using AWS and AWS Sample Projects: Resources, Variables, Meta Arguments, Provisioners, Dynamic Blocks, Modules, Provisioning AWS Resources (EC2, EBS, EFS, VPC, IAM Policies, Roles, ECS, ECR, Fargate, EKS, Lambda, API-Gateway, ELB, S3, etc.
Apache-Hive-Essentials-Second-Edition - Apache Hive Essentials, Second Edition published by Packt
Read the Docs - The source code that powers readthedocs.org
datacontract-cli - CLI to manage your datacontract.yaml files
terraform-aws-components - Opinionated, self-contained Terraform root modules that each solve one, specific problem