Systems | Development | Analytics | API | Testing

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What is Streaming ETL?

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream. Depending on the source and purpose of the data, an event could be a single user visit to a website, a new post on a social media platform, or a data point from a temperature sensor.

Lessons on fan engagement - from Xalt, Genius Sports and more...

In the ever-evolving world of sports and entertainment, fan engagement has emerged as a critical factor in driving retention and long-term success. At the Ably Realtime Fan Engagement Summit in New York City, industry experts shared valuable insights into the relationship between fan engagement and retention, emphasizing the importance of creating compelling digital experiences and fostering genuine connections.

Marketing and Sales in Uncertain Times: Strategies & Spending Impact (2024)

Enjoy reading this blog post written by our experts or partners. If you want to see what Databox can do for you, click here. No matter what size your business is or what market you operate in, there’s one thing every business will confirm – marketing and sales during a downturn can be extremely challenging. But that doesn’t mean you should turn off the tap on marketing and sales until things get better.

Skyward Shift Harnessing Gen AI to Elevate CX in the Aviation Industry

Imagine finding yourself in an airport, receiving a message from your travel app: “Due to severe weather conditions, your flight is delayed by 3 hours. We anticipate your gate opening within the next hour. Here’s a $30 voucher for refreshments while you wait.” While this scenario might seem like something out of a Hollywood movie, in reality, it could lead to tense confrontations and disruptions. That’s why clear communication and support before travel are crucial.

Simplified End-to-End Development for Production-Ready Data Pipelines, Applications, and ML Models

In today’s world, innovation doesn’t happen in a vacuum; collaboration can help technological breakthroughs happen faster. The rise of AI, for example, will depend on the collaboration between data and development. We’re increasingly seeing software engineering workloads that are deeply intertwined with a strong data foundation.