Discover the best cloud ETL tools for data engineers in 2025. Compare features, pricing, and use cases as we explore the most effective data integration solutions for modern organizations with ...

The extract, transform, and load phases of ETL typically involve multiple tasks, each of which can be executed independently. This means you can develop each task as a microservice. Companies generate ...

There is no doubt that the digital transformation age is here. Thanks to trends accelerated by the pandemic, every company is now a digital company. The question is which ones are riding this ...

IBM's $11B Confluent acquisition completes its hybrid cloud stack, with Kafka streaming joining Red Hat and HashiCorp for ...

Data Integration vs ETL: What Are the Differences? Your email has been sent If you're considering using a data integration platform to build your ETL process, you may ...

Data Ingestion vs. ETL: What Are the Main Differences? Your email has been sent Data ingestion and ETL are often used interchangeably. But, they're not the same thing. Here's what they mean and how ...

Data is one of the most valuable resources in today’s global economy—yet the rules that govern it are uneven and not conducive to beneficial cross-border data flows. Four years since former Japanese ...