According to the International Chamber of Shipping, the maritime industry has increased fourfold in the last four decades. As the complexity of marine trade increases, ports and shipping companies need […]

Lately, companies, in their efforts to engage in real-time decision-making by exploiting big data, have been inclined to find a suitable architecture for this data as quickly as possible. With […]

A data fabric is an innovative system designed to seamlessly integrate and organize data from multiple sources, making it easily accessible, usable, and shareable. Think of it as a connected […]

Data is being generated from various sources, including electronic devices, machines, and social media, across all industries. However, unless it is processed and stored effectively, it holds little value. A […]

An Apache Kafka outage occurs when a Kafka cluster or some of its components fail, resulting in interruption or degradation of service. Kafka is designed to handle high-throughput, fault-tolerant data […]

Complex event processing (CEP) is a highly effective and optimized mechanism that combines several sources of information and instantly determines and evaluates the relationships among events in real-time. It is […]

Over the past few years, Apache Kafka has emerged as the top event streaming platform for streaming data/event ingestion. However,  in earlier version 3.5 of Apache Kafka, Zookeeper was the […]

At first, data tiering was a tactic used by storage systems to reduce data storage costs. This involved grouping data that was not accessed as often into more affordable, if […]

With the use of telemetry, data can be remotely measured and transmitted from multiple sources to a single place for control, analysis, and monitoring. The process of gathering data from […]

Transferring real-time data processed within Apache Flink to Kafka and ultimately to Druid for analysis/decision-making. Businesses can react quickly and effectively to user behavior patterns by using real-time analytics. This […]