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APIs are powerful for ETL (extract, transform, load) and data integration workflows. API integrations make it possible for the seamless exchange of information between websites, databases, and applications. The Xplenty API allows you and your enterprise to monitor Xplenty clusters and jobs. Through the Xplenty data processing package and Xplenty web application, you can call the Xplenty API to.

Data warehouses fixed one aspect of the data silo problem but introduced another. They function as a large, single source of truth for your organization, but getting insights from this data in a typical Extract, Transform, Load (ETL) data pipeline requires the use of Business Intelligence (BI) and analytics platforms. By the time your data team creates these reports and sends them to other business units, it’s too late for daily decision-making.

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” That’s according to the author and consultant Geoffrey Moore. It’s an unsettling thought given that data and analytics are shifting from a secondary activity to a core business function. So what can companies do to gather and harness all of this information? The below guide discusses data sources and their role in informing decision-making.

With over 100 out-of-the-box connectors, Fivetran is the no-code/low-code solution for many CTOs, software developers, and data analysts who want to extract, load, and transform data from disparate sources, load that data into a warehouse for analytics, and then convert it into a usable format.

While traditional ETL (Extract, Transform, Load) collects data within a centralized data warehouse, reverse ETL flips the target and destination of the standard ETL process. This allows information to be pushed out of data warehouses and into powerful third-party operational systems that can provide better analytics and reporting services. With the Xplenty platform and its ETL tools, all information is sent between warehouses and third-party operational systems in an efficient and secure manner.

If you're looking for a better way to organize your data and ensure it stays up-to-date, you need to start utilizing CDC processes today. Change data capture uses various techniques to detect changes made in source tables and databases in real-time. Read on to learn more about change data capture and how it can be implemented to better serve your business.

ETL Pipeline and Data Pipeline are two concepts growing increasingly important as businesses keep adding applications to their tech stacks. More and more data is moving between systems, and this is where Data and ETL Pipelines play a crucial role. Take a comment on social media, for example. It might be picked up by your tool for social listening and registered in a sentiment analysis app.

Data warehouses have made it easier for customers to store massive amounts of data. That information is useless, however, unless it is actionable. Making data actionable means employees can use the data for decision-making and improving the user experience. In this article, we’ll discuss reverse ETL, pushing data to Zendesk from your warehouse, and the value of this process.

Stitch is a popular cloud-based Extract, Load, Transform (ELT) tool. Stitch seamlessly moves data between databases, warehouses, data lakes, SaaS services, and other applications with no code required whatsoever, making it a valuable weapon for data integration. However, the platform has limited data transformation capabilities and, away from its free tier, charges users for the amount of data they use per month, which often works out to be more expensive than other pricing models in the ETL/ELT space.

Salesforce is a CRM, which stands for "customer relationship management," and it helps companies personalize their approach and services to better guide business decisions.