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Decodable for ETL
Streamline your batch or real-time ETL processes with built-in CDC for faster insights.
What is ETL?
ETL (Extract, Transform, Load) is a data integration process that extracts data from one or more sources, transforms it into the desired format, and loads it into a centralized database or data warehouse. It enables businesses to consolidate, clean, and structure their data for analysis, reporting, and decision-making.
ETL is ideal for systems that do not support transformations after data is loaded, as it handles data refinement in-flight. Additionally, it can offer reduced storage requirements by performing aggregations and deduplication before the data reaches the destination system. ETL pipelines can also include data masking or encryption during the transformation process, addressing regulatory and security requirements.
For use cases that focus on data movement and replication, Decodable can also meet your ELT needs.
Populating caches: Extracting from OLTP (Postgres, MySQL, etc.) or messaging systems like Kafka and loading into application caches, user-facing analytics, other messaging topics, and data lakes and warehouses.
Customer 360 view: Extracting customer data from multiple sources (e.g., CRM, point-of-sale systems, and web analytics), cleaning and deduplicating records, and loading it into a unified data warehouse to create a comprehensive, 360-degree view of each customer.
Healthcare data integration: Extracting patient records from different departmental systems (e.g., lab results, treatment history, and billing), transforming the data to ensure consistent formats and comply with regulatory standards, and loading it into a central data repository for patient care analysis and regulatory reporting.
Fraud detection: Extracting transaction data from multiple payment systems, enriching it with geolocation and user behavior metrics, and loading it into a real-time fraud detection engine to identify and flag suspicious activities.
Simplified ETL. One platform.
The Decodable platform offers all the capabilities and flexibility of the most popular stream processing engine, without the low-level complexity.
Powered by Apache Flink, the Decodable platform makes it easy to handle both batch and real-time workloads.
Being able to meet all your data processing needs on a single platform means a single set of processing guarantees and delivery semantics.
Decodable makes it easy to connect to your source and destination systems, including built-in support for change data capture (CDC) with Debezium.
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?
Our team was able to abstract away an intensive 5000+ schema union using Decodable. We are now deploying custom Flink pipelines - the ETL capabilities are very broad and can be as complex or as simple as we need.
Let's get decoding
