For decades, ETL (extract, transform, load) has been a mainstay of organizations’ data integration workflows, moving information from various sources to a centralized data warehouse. More recently, however, businesses have been shaking things up with reverse ETL, which flips the sources and targets by sending data from your warehouse to third-party systems like Zendesk.

Organizations at the forefront of their field leverage speed and agility to maintain their competitive edge. The key factor driving this agility is collaboration, which can only be achieved by providing every department with access to the data they need to perform their jobs more efficiently. According to Gartner, digital optimization blurs the classic ownership and activity boundaries within and beyond IT.

We're excited to announce that Xplenty has acquired the fastest real-time data replication platform on the market, FlyData. This further expands our product suite and adds database replication to our customer offering. This was the highest requested feature from our customers, so we're happy to announce that we now have CDC (change data capture) capabilities.

Netsuite and Salesforce are both prominent SaaS providers. The two cloud-based software companies are home to powerful marketing automation, sales automation, and customer service tools. While Netsuite and Salesforce are both powerful as standalone entities, their tools become even more useful to companies when they are used together. That’s why finding the perfect data integration system to connect Netsuite and Salesforce is essential to your business.

Up to 20% of all employees in the United States are regularly late for work, costing organizations like yours billions of dollars a year. The solution? Timesheets, which monitor employee hours, tardiness, performance, and absenteeism. These documents also collect valuable data for payroll, accounting, billing, and project management. So they're critical for human resource teams everywhere. But there's a problem or two.

Today's apps provide users with convenience and flexibility. Even the way we handle finances and financial transactions is improved and expanded using top financial APIs.

2.5 quintillion bytes of data are produced every day, and those numbers are continually increasing. With such astronomical volumes of data, businesses have to understand and interpret data faster than ever before. However, data transfers must occur for businesses with millions of data entry points to properly store and interpret their data.

Consider for a moment, if you will, plastic patio furniture. Plastic Fantastic is a global manufacturer with several factories, warehouses, and plenty of stores. One can only imagine the sheer amount of data resulting from sales, production, suppliers, and finances. Everything that happens, from purchase and onward, to these chairs, tables, and cupboards in all corners of the world is measured.

Reverse ETL and customer data platforms (CDPs) are two big data trends that have been receiving a great deal of attention. While both CDPs and reverse ETL can help you make smarter data-driven decisions, there are also several crucial points of distinction. In this article, we’ll answer the question: what’s the difference between reverse ETL and a customer data platform?

Migrating analytics workloads to the public cloud has been one of the most significant big data trends in recent years—and it shows no sign of slowing down any time soon. According to a study by IT research company Forrester: Within three years, however, Forrester predicts that the fates will have reversed: Of course, before data can be processed in the public cloud, it has to get there in the first place via data migration.