I would like to recommend MS Azure to start with.  The reasons are 1. I bet you're using many Microsoft tools, like Office 365, Team, etc. so you're pretty familiar with the MS UX which is excellent. 2. It's easy to start/learn Azure and configurations, they have very…

I would recommend Apache Kafka as the preferred option.  It is an open-source project and has most of the user community members to contribute/enhance. It is relatively mature. 

The relationship between them is depending on how one implements the Data Lake.  The Data Lake can include the Data Warehouse in it, or the Data Warehouse can be a supplement to the data lake to meet the traditional reporting and ad hoc analysis needs. An example is the…

I assume the "Data Warehouse" term here is in the traditional/conventional meaning.  In such a case, the main differences are:  1) the traditional data warehouse only hosts structured or semi-structured data, while Data Lake hosts all kinds of data including unstructured…

Cost is the main issue one needs to consider. Need a whole heuristic view of what you use the AWS for, mainly for the data reporting, storage, backup/restore, etc.  Data storage, for example. How you will use your existing data (if you have 30 years of them) or do you need…

comprehensive cloud services solution, but need a strategic roadmap to implement. It's a journey.