Systems | Development | Analytics | API | Testing



Why ETL Data Modeling is Critical in 2024

Like peanut butter and jelly, ETL and data modeling are a winning combo. Data modeling can't exist without ETL, and ETL can't exist with data modeling. Not if you want to model data properly. Combining the two defines the rules for data transformations and preps data for big data analytics. In the age of big data, businesses can learn more than ever about their customers, identify new product opportunities, and so on.


Top 5 Amazon S3 ETL Tools For 2024

Amazon Simple Storage Service (Amazon S3) is a cloud-based object storage service from Amazon Web Services that collects data from anywhere on the internet. In today's data-driven world, businesses rely heavily on seamless data integration and transformation processes to unlock the full potential of their vast data resources. But what happens if you want to move data from Amazon S3 to a data warehouse for analysis?


Top 14 ETL Tools for 2024

Organizations of all sizes and industries now have access to ever-increasing amounts of data, far too vast for any human to comprehend. So far in 2023 so far, the world produced and consumed 328.77 million terabytes of data per day — an almost unimaginable number. However, all this information is useless without a way to efficiently process it, analyze it, and reveal the valuable data-driven insights hidden within the noise.


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

In data engineering and analytics, effectively wrangling data is not just a skill but a necessity. Large volumes of complex data have grown exponentially as businesses and technologies evolve. This surge has brought two critical processes in data management to the front line: Data Wrangling and Extract, Transform, Load (ETL). Understanding these processes is pivotal for any organization leveraging data for a strategic advantage.

What is - the no-code data pipeline platform. Transform your data warehouse into a data platform with’s ETL, ELT, Reverse ETL, and API Management offerings. Your data warehouse is no longer a place where your data goes to get stored. Your data warehouse needs to sit at the center of your operations and be the heartbeat of your organization.

Understanding and Evaluating Cloud-Based ETL Tools

Is your organization ready for cloud-based ETL tools? With things like business intelligence (BI), data-driven strategies, and comprehensive analytics becoming increasingly integral parts of today's long-term business strategies, it's no surprise that ETL platforms hold a more prominent role than ever. When evaluating a cloud-based ETL tool, you should consider the: So, what is ETL, what are your ETL options, and how do you find the best choice for your business?


ETL and Data Warehousing Explained: ETL Tool Basics

Understanding ETL (extract, transform, and load) and data warehousing is essential for data engineering and analysis. As businesses generate large amounts of data from different sources, efficient data integration and storage solutions become crucial. This article breaks down ETL and data warehousing, providing insights into the tools, techniques, and best practices that drive modern data engineering.