> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/pre-sales/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/pre-sales/manufacturing-use-case/project-definition-and-requirements/functional-requirements.md).

# Functional Requirements

A summary of the functional requirements for Enterprise Datawarehouse is as follows:

* [x] The Data Platform is required to be hosted on a cloud-based environment accessible to the client’s business users globally.
* [x] The Data Platform should be able to support multi-cloud integration and integration with On-Premises applications/databases hosted at Manufacturing sites and 3rd party applications as well as applications hosted in the cloud.
* [x] The Data Platform should have out-of-the-box proven integration capabilities with data streaming applications such as Kafka.
* [x] The Data Platform should have out-of-the-box proven integration capabilities with advanced analytics (machine learning) tools/applications including Open Source.
* [x] The client’s Business users should be able to remotely access the data platform and analyze the data and reports with reduced latency.
* [x] The data platform should be capable of managing a large number of concurrent users accessing the data platform without any performance issues. The data platform should be available 24/7 with 99.5% availability with no data loss. Services shall be available across regions with 'zero' downtime.
* [x] Capability to ingest, curate, process and store various types of data from various clients as well as 3rd party applications in real/near-real time and batch modes both On-Premises and Cloud **based on the data lake of the choice of the client.**
* [x] Ability to perform data profiling, apply data quality checks, and do data cleansing on the fly.
* [x] Cost-effective compute and storage capacity to process and store different formats of data which is scalable automatically with ‘zero downtime’.
* [x] The data platform should be capable to provide an enterprise view of data across the organization which can be seamlessly accessed by Business users through Self-Service reporting.
* [x] Provide a centralized data repository (Sand Box environment) with a robust data foundation to enable data discovery, data mining, and advanced analytics.
* [x] The Data Platform should be secure scalable, fault-tolerant, and highly available.
* [x] Shift from a de-centralized reporting and data silos to a governed centralized reporting framework.
* [x] Data Platform shall support full-text search and faceted text search capabilities. Ability to search both structured and unstructured data from both data lake and EDW.

###