A5: I think it starts with the continued maturing of DataOps and the advancement of ML and AI into the orchestration process. And of course leverage (Talend's) data quality capabilities available through the integration processes.
A1: Talend is an Orchestration Enabler. Talend provides all the necessary components for proper data orchestration from scheduling and monitoring, to error handling and reporting. We are also seeing the importance of data orchestration as Microservices become more prevalent.
A2: The obvious advantage is minimize downtime. Smart orchestration can self correct or at least re-direct so one down process doesn't shut down the whole system. Future state, bring AI into the mix and orchestration could potentially predict failures.
A4: Observability has to be a major part. just like security, automation, data quality, etc... They are all pieces to a larger puzzle. The question is, who is on the other end of the observability capabilities? If no one is watching or being notified, orchestration has failed.
A3: Data orchestration and data security need to be designed hand in hand. Data orchestration helps us get data into different systems to do what they do best but those systems may not have the same security requirements.
A5: Deepen the integration with the enterprise data platform. Data orchestration can help with many parts of the data lifecycle and help connect them together. This includes security, cataloging, and other components in a typical platform.