In the era of data-driven decision-making, the Data Lakehouse paradigm has emerged as a promising solution, bringing together the best of both data lakes and data warehouses. By combining the scalability of data lakes with the data management features of ...

A streaming database is a type of database that is designed specifically to process large amounts of real-time streaming data. Unlike traditional databases, which store data in batches before processing, a streaming database processes data as soon as it is ...

In today’s fast-paced world of big data, data engineering has become a critical discipline for organizations to process and analyze large volumes of data efficiently. One innovative approach that has gained traction is the Kappa Architecture, a unique data engineering ...

In the digital age, data is the new currency and is being used everywhere. From social media to IoT devices, businesses are generating more data than ever before.With this data comes the challenge of processing it in a timely and ...

Each data point in a system that produces data on an ongoing basis corresponds to an Event. Event Streams are described as a continuous flow of events or data points. Event Streams are sometimes referred to as Data Streams within ...