Rapid Deployment of Data Modernization & Power BI Visualization using Agile Data Framework
The data driven decisions are the key to success of any business. However, data is often locked in diverse systems or silos, BI tools are super expensive and takes ages to be deployed. Built on Azure data technologies Adfolks have designed a forward compliant BI/ETL reference architecture to support decision systems at enterprises, enable self-service BI, batch and real-time data analysis and reporting use cases, and ad-hoc analysis for advanced analytics and Machine Learning.
The design leverages Azure-native data components to provide for maximum automation and reduce operational overhead. Some of the components used are, but not limited to, Azure Data Factory, Azure Data Lake Storage, Databricks, Synapse Analytics, PowerBI. Moving data to the analytics fabric on Azure is accelerated with an extensive library of out-of-the-box connectors in ADF and extensibility to incorporate custom connectors.
Design of a forward compliant modern data architecture fitting batch and real-time reporting and ad-hoc analysis use cases of the customer.
Project plan with work and timeline estimates for implementation.
Deployment of Azure data components
Data pipelines connecting source system to data analytics fabric on Azure.
Enablement of self-service BI
Training and Handover of the new implementation
Dashboarding on the loaded data to azure data platform
Note: The time and scope may vary based on the specific requirements of the client. 15 days are the average time for the calculated from various client experiences with all favorable conditions.
Seamless integration of new architecture to compliment existing architecture.
Rapid deployment with iterative development with real time feedback