Industry: In online delivery services for groceries and essentials, a lot depends on the agility and reliability of the service to complete a transaction. It starts right from a customer selecting items and placing an order, visiting specified retailers, buying them, and delivering them to the customers. This case study
Company: Headquartered in Amsterdam, Netherlands, Euronext is a leading stock exchange with a global reach. The Exchange operates in regulated securities and derivatives markets in Amsterdam, Brussels, Lisbon and Paris, Ireland, and the UK. In this case study, we will see Kafka Streams example on how Euronext used Confluent Kafka
Bank Rakyat Indonesia (BRI) – the largest bank in Indonesia - is also the largest microfinance institution globally. It has 75 million customers and a market capitalization that exceeds $38 billion. Let's see how they expanded their operations with the help of big data analytics using Kafka. Challenge: The bank
Every large corporation and SME have found real-time data analysis quite critical. Many industries such as legal services, financial services and IT operation management are in need of massive real-time data along with historical data. When we are in need of handling high volume data, we should implement the best
What is a Data pipeline? A data pipeline is a system where data is transferred in chunks in a serial and systematic manner (Messages, records) between systems. These flows are well defined, audited and might contain sensitive information, which needs to be secured. These pipelines can be application queues, transfers
What Is Real-time Data Streaming Real-time data streaming is a process that filters and infers data to accomplish tasks at the time it is published or generated. Businesses use real-time data streams to incorporate modern technologies like IoT, advanced machine learning, and artificial intelligence. These are critical in improving human-machine
In the incoming article, we would be shedding some light over real time vs batch processing systems. This is an important concept to understand as they define the SLAs for a modern system. In layman's terms, these define ”Acceptance Criteria” for a system. Most of the modern systems are built
Real-time streaming tools and techniques hold high potential in the decision-making and operations of an organization. Modern businesses are dependent on thousands of applications that generate, collect, process, and analyze data continuously. In this article we will talk about some use cases of real time streaming & analytics and its
What is Event Streaming Services? Data is at the heart of the new-age business built upon several hundred data-driven applications that account for a system that is continuously generating data. Organizations also use data to garner actionable insights and create an effective data-driven decision-making system. It is one of the
Apache Kafka Security- What is it? Undoubtedly, Apache Kafka acts as an internal medium and enables businesses to communicate using real-time data. However, it also exposes you to cyber risks such as unauthorized access to data that could adversely affect your business. Therefore, Kafka streams have an integrated security feature
As digitization makes a profound presence, the need to gather, manage and process data in real-time has led many companies to count on Apache Kafka use cases and Apache Kafka reviews. Companies are now building applications based on various things that rely heavily on continuous data from a device, IOT
Event Streaming - What is it? Event streaming in the business world refers to the practice where real time data from event sources like databases, sensors, mobile devices and other IT or hardware elements is stored and processed as streams of events. As more businesses deploy data-driven technologies like IoT,
