We’re hiring a new Java developer and decided to start by asking them to write code instead of the usual Q&A.
Recently we needed to add an hourly scheduler to our sliding window data aggregator and decided this would be a good test to see how people think and code.
A new release of Data Pipeline is now available for download: https://northconcepts.com/downloads/. This release includes a new Twitter search reader, custom aggregate operations, and much more.
Data Pipeline’s query engine allows you to use XPath to query XML, JSON, and Java objects. This walkthrough will show you how to query Java objects using XPath and save the results to a CSV file. While the reading and writing will be done with the JavaBeanReader and CSVWriter classes, you can swap out the CSVWriter for any other endpoint or transformation that Data Pipeline supports. Continue reading
This blog will show you how to pull selected columns from a CSV file containing IP geolocation data and save them into a second CSV file using our Data Pipeline Java library. As part of the transformation, you’ll also have the option to rearrange the order of the resulting columns.
This blog will demonstrate how to upload Excel and CSV files into a database while using Data Pipeline to handle the differences in format and structure of the individual files. Continue reading
Data Pipeline Builder – our new web GUI – is now available in early access. DPB generates Java code for Data Pipeline by letting you configure your inputs, outputs, and transformations.
Getting exception handling right can save you hours (or even days) of troubleshooting. Unexpected production issues can ruin your dinner and weekend plans. They can even affect your reputation if not resolved quickly. Having a clear policy on how to manage exceptions will save you time diagnosing, reproducing, and correcting issues. Here are 6 tips to improve your exception handling.
We’re finally tackling a UI for Data Pipeline. Over the next few weeks, we’ll be drawing up plans and working on the first iteration/MVP (Minimum Viable Product) of Data Pipeline Builder, our online code generator. Continue reading
Data Pipeline is typically used in non-GUI applications to move data from one place and/or format to another. However, Data Pipeline can just as easily be plugged into your web, mobile, and desktop applications. Its small size and Java-centric approach makes it perfect for handling your data conversion and data manipulation use-cases.
This article will demonstrate how to download CSV (comma-separated values) and Excel data from Java web applications using Data Pipeline. It will also show one way to plug Data Pipeline into your JSPs.