Never worry about getting a bunch of systems to "talk to each other" again.

A Data Warehouse is fanstastic at being able to answer known questions with known data. We still think it is and will be a critical part of your data technologies. 

The typical problems that creep in with a Data Warehouse is when you want to ask a spontaneous question or you want to see the data from another angle, you often are bound to the way that this data has been modelled in the fact tables. 

Although you can add more fact tables, there is obvioulsy a point where this becomes too much to maintain and the queue of requests just keeps growing as more and more parts of the business are working with data. 

CluedIn is typically placed before the Data Warehouse in the overall journey of data. CluedIn is fantastic at replacing the typical ETL layer of the Data Warehouse projects where we are simply better at integrating, preparing, governing and proving flexible access to data to fuel your dimension tables. 

With CluedIn in place, if someone was to request data from a different question, you won't have to go back to the raw data to fuel your dimension tables with what you need. Instead you create new columns in your dimension tables and then ask CluedIn to fill the data in. 

For more details, you can read the full white-paper.

CluedIn is a platform that is composed of many different components. These components are all docker containers and the application is composed together with docker compose. 

We use Kubernetes as the orchestration framework that helps you manage and deploy CluedIn into your production environments.

If we dive into the application itself, the CluedIn server is a .net core application. Amongst other advantages, this allows you to host CluedIn on all the popular operating system environments. We do recommend that you host CluedIn in Unix/Linux environments. 

The CluedIn server interacts with many different databases through an enterprise service bus abstraction. This allows CluedIn to be truly and horizontally scalable. The anecdote of "just add more machines" is very much a reality with CluedIn.

The data layer of CluedIn is made up of 5 different databases including:

• Graph
• Search
• Blob
• Cache
• Relational

These components can all run in a High Availability mode and are all enterprise grade. We lean on the shoulders of giants here at CluedIn and hence all of these databases are utilisng the industry leaders in their respective space. 

Yes: Free Trial of CluedIn on Azure Marketplace