Decodable for ELT

Streamline your batch or real-time ELT processes with built-in CDC for faster insights.

What is ELT?

ELT (Extract, Load, Transform) is a modern data integration process where data is first loaded into a centralized storage system, such as a data lake or warehouse, and then transformed within that system. This approach enables faster data ingestion by loading raw data into the target system before transformation, minimizing latency, and allowing for quicker data availability.

ELT is ideal for use cases where data needs to be easily replicated from OLTP systems to data lakes or warehouses for historical analytics and reporting. By decoupling extraction and transformation, ELT pipelines are easier to modify and maintain as data structures or business requirements change.

For use cases that require transformations to be performed before the data is loaded, Decodable can also meet your ETL needs.

Customer data integration: Consolidating customer data from multiple sources such as e-commerce platforms, point-of-sale terminals, and loyalty programs into a centralized data warehouse before transforming it to create unified customer profiles.

Social media analytics: Extracting activity data from social media platforms and loading it into a data warehouse, where it is used to analyze engagement trends, track marketing campaign performance, and measure brand sentiment.

IoT sensor data analytics: Collecting massive amounts of raw data from IoT sensors and monitoring equipment into a data lake, where transformations are applied to clean and aggregate the data.

Sales and financial reporting: Pulling sales data from multiple regional systems into a cloud data warehouse, where it can be transformed to standardize currencies, calculate profit margins, and consolidate sales data.

Simplified ELT. One platform.

With Decodable, you can seamlessly perform ELT, ETL, reverse ETL, and stream processing from a single, unified platform, simplifying real-time data integration and transformation. By consolidating multiple approaches into one platform, Decodable helps reduce architectural complexity, enables real-time use cases, and provides a more manageable surface area for data governance and security.

Powered by Apache Flink

The Decodable platform offers all the capabilities and flexibility of the most popular stream processing engine, without the low-level complexity.

Real-time or Batch

Powered by Apache Flink, the Decodable platform makes it easy to handle both batch and real-time workloads.

Unified Processing Guarantees

Being able to meet all your data processing needs on a single platform means a single set of processing guarantees and delivery semantics.

Managed Connectors

Decodable makes it easy to connect to your source and destination systems, including built-in support for change data capture (CDC) with Debezium.

Centralized Data Governance

Streamlining multiple bespoke solutions to Decodable’s unified platform for ELT, ETL, and stream processing enables centralized data governance and security controls.

What sets Decodable apart?

Fully managed solution

Unify your data stack and eliminate infrastructure overhead.

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Simplified development

Build real-time pipelines easily with SQL, Java, or Python.

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Fully hosted or BYOC

Get a battle-tested platform powered by Apache Flink and Debezium.

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Using Decodable for our ELT use cases gave us the agility we needed in our data pipelines. By loading data directly into our cloud warehouse, we now have a single source of truth that serves multiple stakeholders throughout our company.

Additional Resources

The Blueprint for Success with Real-time Data

We’re Abusing the Data Warehouse - RETL, ELT, and Other Weird Stuff

Managing Streaming between Multiple External Resources with One Connection