Systems | Development | Analytics | API | Testing

ETL Pipeline vs. Data Pipeline: What's the Difference?

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.

Pushing Data to Zendesk From Your Warehouse

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.

Which Stitch Alternative Should You Choose? Top 7 Stitch Alternatives

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.

Which Tables in a Data Warehouse Use Change Data Capture

In today’s 24/7 digital world, real-time data is a necessity to stay relevant for today’s businesses. Companies who wish to remain competitive must be able to quickly respond to customer demand and adjust to market changes. Supplying business leaders with real-time information for informed decision-making can be a challenge with information spread among disparate systems.

Are These the 6 Best Reverse ETL Vendors for 2021?

The amount of big data that enterprises churn out is simply staggering. All this information is worthless unless organizations unlock its true value for analytics. This is where ETL proves useful. Traditional ETL (extract, transform, and load) remains the most popular method for moving data from point A to point Z. It takes disparate data sets from multiple sources, transforming that data to the correct format and loading it into a final destination like a data warehouse.

5 Tips for Pushing Data from Your Warehouse to NetSuite

NetSuite is an enterprise resource planning (ERP) business management platform part of the Oracle enterprise software ecosystem. Although it's primarily intended for small and medium-sized businesses, organizations of all sizes and industries have successfully used NetSuite to balance their checkbooks, manage inventory, bill and invoice customers, and more.

The Pros and Cons of Application Software Integration

Gartner predicts that by 2023, organizations that promote data sharing will outperform their peers on most business value metrics. According to Debra Logan, Gartner’s Research Vice President, “Data sharing is the way to optimize higher quality data and more robust data and analytics to solve business challenges and goals.” Given these numbers, it is clear that businesses will need to embrace application software integration as a core business strategy.

The 7 Critical Differences Between DynamoDB vs MongoDB:

MongoDB vs DynamoDB: How do you choose between them? Whether you are a two-man team bootstrapping a proof of concept or an established one battling with high throughput and heavy load; this post can serve as a guidepost in your decision process. Before going into the details, a brief history lesson on how these technologies emerged is pertinent; you must understand the optimal conditions for running these systems and how they operate in the wild before making an informed choice.