Figure 1 - Cazena Data Lake as a Service Intelligent SaaS Orchestration
The architecture of Cazena is illustrated in Figure 1. Much of this diagram is self-explanatory. One point that may not be clear is that Cazena is a single-tenant solution. Another is that you can have multiple storage engines within the same implementation, so you are not limited to Cloudera but can also leverage, for example, Amazon S3 or Azure BLOB storage. Thirdly, it may not be clear what 24x7 SIEM means. This stands for security and information management and means that the software is continually logging authentication events (across both the cloud and software components), and that it has anomaly detection capabilities that will identify potential third-party or internal security attacks.
Cazena provides everything you need to make the implementation and ongoing running of your data lake as easy as possible. It provides everything: infrastructure, data platform, analytic engines, and DevOps, all in a single subscription. That said, Cazena does not add anything at the engine level. Thus, for example, if you want to run Internet of Things applications based on time-series data, then Cazena does not contribute any additional capability beyond what is offered by Cloudera. Thus you need to be happy that the engines supported by Cazena are sufficient for your needs.
Figure 2 - The Cazena AppCloud
The other major part of the Cazena is the AppCloud. This is illustrated in Figure 2. It allows you to deploy third-party machine learning, analytic and other tools within the same hosted cloud environment as Cazena itself. As can be seen, it also supports the deployment of “partner apps”. This represents a significant part of Cazena’s go-to-market strategy, whereby systems integrators and independent software vendors can build their own applications on top of an embedded Cazena instance to market to their clients. Thus channel partnerships are an important aspect of the company’s business.