I consider myself pretty lucky: I love technology and get paid to pursue my hobby. I also get to say yes to opportunities that come my way that can increase value to my company and our clients. It was one of these opportunities that led us to adopt change data capture (CDC) technology, resulting in an added value proposition for our customers.

Explore the architectural concepts that power BigQuery’s support for semi-structured JSON, which eliminates the need for complex preprocessing and provides schema flexibility, intuitive querying and the scalability benefits, at large scale.

When building web applications you’ll often be using services on the client that require authentication. A common way client-side SDKs like Ably authenticate themselves is by using server-side API endpoints that generate and return access tokens. Using access tokens allows you to keep your service’s secrets on the server and instead issue time-limited and scope-limited tokens to a client. Some services even let you create revocable tokens for added security.

Ever since we have entered the third decade of the 21st century, artificial intelligence has proven to be the driving force behind innovation. However, the growing need for technology and constant development demands access to rapid testing and quality assurance. Besides, the software testing landscape is undergoing a revolutionary transformation, as we hurtle into a tech-driven era. It means AI-powered tools are being tested using the power of AI automation testing tools.

Qlik’s partnership with AWS provides customers with an end-to-end data integration and analytics solution for AWS. Our accelerates data delivery and readiness for analytics from a wide range of enterprise data sources. And our empowers users at any skill level to freely explore all your data and uncover hidden insights. Add to that Qlik Staige and you can find out how we can help modernize with AI.

The world of data is constantly evolving and advancing, bringing exciting new opportunities for those who wrangle it. To make the most of your critical data, you must first map it. However, an increasing number of sources and formats results in a tricky mapping process. Data mapping tools can simplify this process, ensuring you can visualize, analyze, and interpret data accurately and efficiently.

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.