What are the different refresh options at Data Source(s) to overcome Power BI Refresh Limitation

To
overcome Power BI refresh limitations at the data source level, you can employ
various strategies to ensure that data is updated and available for analysis.
Here are different refresh options at the data source(s) level:

1. Change Data Capture
   (CDC):
• Implement
  Change Data Capture mechanisms at the source database to capture and
  track changes to the data.
• Use CDC to
  identify new or modified data since the last refresh and only refresh the
  incremental changes in Power BI.
2. Scheduled Extract,
   Transform, Load (ETL) Jobs:
• Schedule
  periodic ETL jobs to extract data from source systems, transform it as
  needed, and load it into Power BI.
• Use ETL
  tools such as Azure Data Factory, SSIS, or custom scripts to automate
  data extraction and loading processes.
3. Data Replication:
• Replicate
  data from source systems to a staging or data warehouse environment using
  replication tools or techniques.
• Refresh data
  in Power BI from the staging or data warehouse environment, which can
  have more predictable and controlled refresh processes.
4. Streaming Data:
• Stream data
  directly from source systems using real-time data streaming technologies
  such as Kafka, Azure Event Hubs, or AWS Kinesis.
• Power BI can
  connect to streaming data sources to provide real-time insights without
  relying on batch refreshes.
5. DirectQuery Mode:
• Configure
  Power BI datasets to use DirectQuery mode, where queries are sent
  directly to the underlying data source in real-time.
• DirectQuery
  mode ensures that users always access the latest data without the need
  for scheduled refreshes.
6. API Integration:
• Integrate
  Power BI with source systems using APIs to retrieve data on-demand or at
  scheduled intervals.
• Implement
  custom connectors or use existing connectors provided by Power BI to
  connect to APIs and fetch data.
7. Web Scraping and Web
   Data Connector:
• Use web
  scraping techniques or Power BI’s Web Data Connector to extract data from
  web sources and refresh it periodically.
• Web scraping
  can be useful for accessing data from websites or online databases that
  do not provide APIs.
8. Manual Data Import:
• Manually
  import data into Power BI using CSV or Excel files when automated refresh
  options are not feasible.
• Although
  less efficient, manual data import can be useful for occasional or
  one-time data refreshes.

By
leveraging these refresh options at the data source(s) level, you can ensure
that data in Power BI remains up-to-date and relevant for analysis, thereby
overcoming refresh limitations imposed by Power BI licensing or resource
constraints.