How to Take a Low-code and Pro-code Approach with SQL ELT for Next-Gen Data Warehouse, Lakes and Lakehouses

Last Published: May 17, 2024 |
Rajat Pandey
Rajat Pandey

Principal Product Manager

Traditionally, extract, load, transform (ELT) has been the backbone of building data warehouses, meticulously transforming data before loading it for analysis. However, low-code/no-code ELT tools are changing the game, offering a faster and more accessible approach for both data warehouses and data lakes. ELT shines in data lakes where raw, unprocessed data is stored. It allows you to efficiently ingest large datasets without extensive transformation, keeping costs down.

Citizen integrators and business users need user-friendly interfaces that empower them to build basic ELT pipelines, fostering data democratization and faster insights. Analysts need to be able to access data quicker and to start exploring it for trends and patterns, accelerating discovery. 

Improve Access With Informatica SQL ELT

To make data more accessible and to enable users to run queries easier, Informatica has designed a simple, highly visual and intuitive interface for SQL ELT. It leverages pushdown optimization to achieve superior performance from your ELT pipelines without writing lines of code. This approach allows data transformations to be processed and computations to be pushed down to the source or target systems, reducing network latency and improving overall efficiency. 

The design of Informatica SQL ELT provides several competitive advantages. It enables you to process large volumes of data more rapidly, resulting in faster insights and quicker decision-making. It also reduces operational costs by minimizing unnecessary data movement across networks or systems. 

The cloud-based architecture of data warehouses and lake houses inherently supports the ELT approach by allowing data to be loaded in its raw form for later transformation. Informatica also offers an ecosystem-native ELT option. Informatica supports the native functionality of data warehouses for simpler ELT tasks, and you can use Informatica's pre-built functionalities to handle complex transformations. 

By strategically implementing Informatica SQL ELT, you can: 

  • Offload data processing tasks to your target system, such as a database or cloud platform. This approach minimizes the amount of data transferred between systems, resulting in reduced latency and enhanced performance.
  • Streamline your workflows and achieve cost savings with an optimized pushdown solution. You can minimize resource utilization and maximize efficiency by offloading processing tasks to external systems such as databases or Hadoop clusters.
  • Leverage modern data processing technologies in the cloud. By following an ELT approach, you can take full advantage of powerful cloud-based solutions like Medallion architecture and data mesh. These cutting-edge technologies allow for faster and more efficient data transformations.
  • Harness the true potential of your cloud data warehouse by performing transformations directly within its environment. Gone are the days of traditional ETL processes that often suffer from performance bottlenecks and scalability limitations. This eliminates unnecessary data movement and maximizes parallel processing capabilities, resulting in lightning-fast analytics and reduced time-to-insights.
  • Benefit significantly from scalability. With efficient design techniques in place, you can handle larger volumes of data without compromising on speed or accuracy.
  • Leverage the compute power of underlying cloud data warehouses/data lakes and provide access to native functionalities for simple use cases.

Through careful design and implementation, you can take advantage of specific features and capabilities offered by Informatica Cloud SQL ELT. These include: 

  • Intelligent query pushdowns
  • Parallel execution optimizations
  • Advanced transformation support
  • Ecosystem-native ELT support

Furthermore, with an optimized pushdown approach, you can efficiently utilize your existing infrastructure investments without compromising performance or scalability. This not only boosts ROI but also enhances overall productivity.

Additionally, implementing ELT allows for a more flexible and agile approach to data integration. You can easily incorporate new data sources or modify existing ones without going through complex transformation pipelines. Informatica SQL ELT features cloud-agnostic functionality, so you can reuse your existing mapping if you ever migrate to a new cloud warehouse. This flexibility empowers your organization to adapt quickly to changing business needs and stay ahead in today's fast-paced digital landscape.

Get Started with Informatica SQL ELT

So why wait? Embrace the power of ELT for your cloud data warehouses and unlock a world of performance benefits that will take your data analytics capabilities to new heights.

Beyond that, investing in Informatica SQL ELT also gives you a competitive edge in today's fast-paced market landscape. It empowers you to handle large data volumes efficiently while driving scalability, improving workflow processes and achieving significant cost savings.

Get started with Cloud Data Integration-Free by visiting

First Published: May 05, 2024