As data technologies continue to advance, modern companies are ingesting, storing, and processing more data than ever before in order to make the most informed business decisions. While relational databases [...]
Apache Flink is one of the most popular frameworks for data stream processing. As a stateful processing engine, Flink is able to handle processing logic with aggregations, joins, and windowing. [...]
The Internet of Things (IoT) refers to sensors and other devices that share and exchange data over a network. IoT has been on the rise for years and only seems [...]
Real-time data has become increasingly valuable across many industries, including healthcare, IoT, machine learning, and cybersecurity. Stream processing frameworks such as Apache Flink enable organizations to gain immediate insights into [...]
In our previous blog post, Streaming Data Governance in DeltaStream, we discussed what Data Governance is, why it’s important, and how it works hand-in-hand with Data Unification in the context [...]
Pattern recognition is a common use case in data processing. Detecting trend reversals, identifying anomalies, and finding sequences in data are all examples of pattern recognition problems. In SQL, Row [...]
Real-time shipment tracking, truck fleet management, real-time training of ML models, and fraud detection are all real use-cases that are powered by streaming technologies. As companies try to keep up [...]
Data is one of the most valuable assets of any company in the digital age. Drawing insights from data can help companies better understand their market and make well informed [...]
In this blog post we are going to be highlighting why and how to use the PARTITION BY clause in queries in DeltaStream. While we are going to be focusing [...]
Data processing systems can be broadly classified into 2 categories. batch processing & stream processing. Enterprises often use both streaming and batch processing systems because they serve different purposes and [...]
