Systems | Development | Analytics | API | Testing

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.

Going into 2024, API management has become a critical aspect of modern-day business operations. A good API management tool can help you streamline the process of designing, deploying, securing, and monitoring all your APIs.

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.

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.