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A complete beginner's guide to Cloud Data Warehouse
Updated on Sep, 2026
Programming, Data Science,
Training 5 or more people ?
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‘The Cloud’ or ‘Cloud computing’ is one of the hottest buzzwords in technology. It appears more than 48 million times on the Internet search every day. Cloud computing and software-as-a-service (SaaS) have been around for quite some time now and we have been using it via multiple applications both at work and personally via mobile apps.
But when it comes to the data warehouse on a cloud, the concept or the idea has recently emerged as an alternative to conventional or traditional, on-premises data warehousing and similar types of solutions that we have been working on.
When choosing a DW solution for the first time, the very first consideration is typically one between an on-prem DW or a cloud-based one. A lot of folks new to the Data Warehouse domain go straight to the cloud these days because it is faster, easier and pay-as-you-go or uses the method of pricing, the scalable features and the quick turnaround time on multiple aspects. Not that the Cloud is a stop solution for all Data Warehouse needs and there are still many reasons why an organization might want to choose an on-prem solution.
Even now there are a lot of projects/implementations which are maintaining and enhancing the traditional data warehouses on a daily basis. And, lot of projects and team members are also dealing with issues with different kinds of sources, the increase in volumes of data and the outburst of new requirements from business and analytics to see the real value of the unstructured formats of data.
I’m here to help you on your journey to understand the basics of the cloud’ and the Cloud Data Warehouse. We would take little baby steps and go slow and easy, so you can learn more about what the cloud Data Warehouse really is and make sure that you’ll understand the cloud Data Warehouse by the time you finish this course.
We will take examples of our day-to-day use of applications like Facebook, Netflix, Google Maps etc to learn more and understand better.
Check out the detailed breakdown of what’s inside the course
Business Intelligence Consultant and Trainer with 14+ years of extensive work experience on various client engagements. Delivered many large data warehousing projects and trained numerous professionals on business intelligence technologies. Extensively worked on all facets of data warehousing including requirement gathering, gap analysis, database design, data integration, data modeling, enterprise reporting, data analytics, data quality, data visualization, OLAP.
Has worked on broad range of business verticals and hold exceptional expertise on various ETL tools like Informatica Power center, SSIS, ODI and IDQ, Data Virtualization, DVO, MDM.
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