An article headline — “BIG DATA/AI BLAME FAILURES ON BAD DATA” — caught my attention. Certainly, it is true that Big Data and artificial intelligence (AI) have not lived up...

Data engineering is building and maintaining the right infrastructure for extracting data from several sources and making it available for analysis.

The healthcare industry deals with large amounts of data from disparate data sources. When building data pipelines, healthcare data can pose many challenges. Let's discuss the existing challenges in building...

Without integration processes like ETL, today's businesses wouldn't be able to make sense of the streams of data flowing into their tools.

Performing sentiment analysis entails capturing and processing textual information. The customers of the corporation express their voice through conversations with the corporation in many places, such as

Low-code and no-code platforms have been handy tools for cost-effectively managing the e-commerce ecosystem. Before getting into the elements and benefits of low-code technologies, it is important to understand what...

ETL is a popular data integration method. But which ETL method works best for data analysis? Learn more in Integrate.io’s latest post.

In today’s business world, technological advances allow companies to hear what the customer is saying in the call center. But challenges still remain. Modern companies are meeting these challenges and...

Designing a data transformation pipeline can be a daunting task, but with the help of Integrate.io on BigQuery, Xenon Partners was able to easily design and implement an end-to-end data...