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Revolutionize data processing with the SQL ELT Ecosystem

As data management methods change rapidly, many organizations are constantly looking for more efficient and effective ways to deal with large volumes of data. One approach that has gained significant popularity in recent years is the use of native SQL to transform data. This method leverages the primal power and capabilities of the modern data management ecosystem to process data.

A company decades ago Informatica supported pushdown optimization using ODBC Pushdown Optimizer (PDO) and Advanced Pushdown Optimizer (APDO), where the data integration service translated the transformation logic into SQL queries and sent them to the database. In April 2024 Informatica introduced ecosystem-based SQL ELT, which uses native ecosystem functions, limits transformations to those supported by the ecosystem, and provides guaranteed pushdown.

Key benefits of the SQL ELT Ecosystem

The SQL ELT ecosystem offers a number of key benefits for enterprises, including:

• Simplified architecture: Data flow is automatically transformed into the SQL ELT Ecosystem, simplifying the data processing architecture.
• Cost efficiency: data processing within the database/ecosystem and the use of the ecosystem's computing engine allows for reduced data transfer costs.
• Leverage existing skills: Most ELT specialists have a strong understanding of data flow design, which minimizes the learning curve and accelerates the implementation of integration projects.
• Performance and scalability: Available support for all modern and leading data warehouses and native ecosystem features. The result is faster and more scalable data transformation, which increases efficiency by reducing data traffic and latency.

When is it worth using the SQL ELT Ecosystem?

The SQL ELT ecosystem is particularly useful in situations where data processing must be efficient, scalable and easily integrated with a modern data architecture. At the same time, it should be profitable and be able to use the computing power of the ecosystem.

Application examples:

• Data science and analytics: You can effectively manage and analyze large data sets to obtain valuable insights by processing data within the ecosystem and in external data lakes (homogenous/heterogeneous).
• Data integration within the same ecosystem: This makes it easy to extract data from a source within the same ecosystem and load it into a central data warehouse where it is transformed as required for unified analysis.
• Modeling data warehouse: focuses on creating a unified data repository supporting business intelligence, reporting and data analysis. This requires efficient data storage and fast query performance.
• Training machine learning models: Features of large language models (LLM) available in the ecosystem improve a variety of applications by offering advanced natural language processing capabilities, leading to increased efficiency and automation of tasks.

SQL ELT ecosystem v Informatica Intelligent Data Management Cloud

Informatica Intelligent Data Management Cloud (IDMC) offers a robust set of cloud data integration and management solutions designed for ecosystem-specific native SQL ELT. This functionality allows you to effectively manage large volumes of data using SQL ELT in a data warehouse environment.

Ecosystem-specific mapping shows only those transformations that a given ecosystem supports. This helps ensure that transformations used in the process execute in full pushdown mode. Informatica supports ready-to-use native features available in a given ecosystem.

During development, the developer can verify the data flow and see the SQL ELT query generated at runtime.

There is a developer-friendly in-stream preview that allows you to troubleshoot issues or view data changes between transformations.

Next steps

The SQL ELT ecosystem is revolutionizing the way organizations handle data integration and transformation. Informatica uses ecosystem-based mapping to take full advantage of the power and capabilities of modern data warehouses. This approach offers significant benefits in terms of performance, scalability, cost efficiency and flexibility.

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