Overview
What you will study
Data warehousing is a technology used for extracting data to make it simpler, efficient and faster for processing queries from different data sources. AWS Redshift is a fully managed, reliable, and fast data warehousing product that makes analyzing data simple and cost-effective. It's highly scalable, features native SQL support, and integrates with popular BI tools, making it an absolute must-know in the data scene. The Ultimate AWS Data Master Class Bundle offered by Skillwise will explore this subject.
Programme Structure
The program focuses on:
- AWS, Docker Containers, & Cloud Clusters With Mesosphere DC/OS
- AWS MasterClass: Data Warehousing With AWS Redshift
- AWS Identity & Access Management: The Cloud Engineer's Secure Cloud Handbook
- Kubernetes Masterclass : Deploy Production Docker Containers
- Mastering DevOps With Ansible: Manage Docker Containers
- DevOps with Jenkins: Learn Continuous Integration
- AWS MasterClass: Storage & Content Delivery Network Services
- AWS MasterClass: Monitoring & DevOps with AWS CloudWatch
- AWS MasterClass: DevOps with AWS Command Line Interface (CLI)
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
• Contact the university for information about the start dates.
Language
English
Delivered
Online
Disciplines
Data Science & Big Data View 592 other Short Courses in Data Science & Big Data in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Experience level required: intermediate
Technological requirements
- Internet required
Tuition Fee
To always see correct tuition fees
-
International
243 USD/fullTuition FeeBased on the tuition of 243 USD for the full programme during 2 days. -
National
243 USD/fullTuition FeeBased on the tuition of 243 USD for the full programme during 2 days.
Funding
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