A few weeks ago, I wrote a post summarizing "Seven Data Integration and Quality Scenarios for Qlik | Talend," but ever since, folks have asked if I could explain a little deeper. I'm always happy to oblige my reader (you know who you are), so let's start with the first scenario: Database-to-database synchronization.
In this Kong Konnect tutorial, you’ll learn how to leverage the platform to manage your API ecosystem from a single easy-to-use interface.
According to Harvard Business Review – Only 3% of Companies’ Data Meets Basic Quality Standards. In the world of data integration, Extract, Transform, and Load (ETL) processes play a vital role in seamlessly moving and transforming data from diverse sources to target systems. However, ensuring the quality and integrity of this data is crucial for accurate decision-making and business success. ETL testing is the key to achieving reliable data pipelines.
Gone are the days of painful plain-text log management. While plain-text data is still useful in certain situations, when it comes to doing extended analysis to gather insightful infrastructure data – and improve the quality of your code – it pays to invest in reliable log management tools and systems that can empower your business workflow. Logs are not an easy thing to deal with, but regardless is an important aspect of any production system.
In the context of software development, automating repetitive tasks and accelerating application development is the name of the game. Hence, having a versatile language with faster and more efficient results at your disposal is a must. Groovy Scripting will save your day! Groovy scripting is a dynamic language with a range of features and functionalities specifically around automation and rapid application development.
How easy would our lives be, as programmers, if our applications behaved correctly 100% of the time? Unfortunately, that’s not the case: things go wrong, often in serious ways. In order to offer the user the best possible experience—and also understand what went wrong so you can fix it—your application needs to handle its errors, and that’s why error handling is an important part of any application.
Earth Engine and BigQuery share the goal of making large-scale data processing accessible and usable by a wider range of people and applications.
