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ETL+ System Diagrams

ETL+ system architecture. Data sources, ETL+, data warehouse, MS SQL Server, Reporting & analytics tools: Tableau, Excel, PowerBI, Crystal Reports, etc.

ETL+ Overview

An ETL+ powered data warehousing provides the following benefits:

  • ETL+ is a high-performance, no-code, low-code, full-code Extraction, Transform, and Load tool to get your data sources' data into MS SQL Server data warehouses and then optimize and secure access for reporting.

  • You can leverage regular MS SQL and reporting tools and features in conjunction with ETL+. ETL+ is an additional powerful and easy-to-use tool, not a limitation on what you can do.

  • The ETL+ Agent can trigger reporting tasks on schedule. Depending on user-selected security settings, one can use it to trigger tasks on demand remotely.

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DataSelf ETL+ v2023.10 Data Flow Diagram - Data Warehousing

DataSelf ETL+ is comprised of two main parts:

  • ETL+ Server that contains and manages the ETL metadata. No transaction data reaches the ETL+ Server, just metadata and logs. The ETL+ Server is usually hosted in DataSelf Cloud, but it can also be hosted behind the client’s firewall.

  • ETL+ Desktop that provides the user interface and executes ETL processes. Depending on source systems, ETL+ might process the extraction and some transformation during the data loading into the data warehouse (ex.: extract and transform OData data into the target MS SQL), or all tasks might be executed directly by the target SQL Server under the ETL+ directions (ex.: extract and transform MS SQL source data into the target MS SQL).

Once ETL+ Desktop loads the source’s metadata to its ETL+ Server, users can manage many ETL processes without connecting to the source system again. For instance, adding source tables and columns.

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DataSelf Analytics Processes

Learn more about DataSelf Analytics here: https://dataself.atlassian.net/wiki/spaces/DS/pages/edit-v2/2001666087#DataSelf-Analytics-Processes

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DataSelf Analytics Processes v2023.10 (Production)

The following shows the processes and communications involved in a DataSelf Analytics cloud system.

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data warehousing MS SQL Server based, MSSS, reporting and analytics tools, Tableau, Excel, Power BI, Crystal reports, SSRS, data base management system, data sources, ETL, extract, data warehouse

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