A data architecture, in simple terms, is a framework for the IT infrastructure to be able to support the data strategy. It refers to the models, rules through which the data is collected, arranged, stored, transported, and utilized in an organization. Data capabilities include metadata management, master/reference data management, data
Apache Kafka has become one of the sought-after applications when one talks about real-time streaming. According to Jay Kreps, CEO of Confluence, it is one of the most popular open-source projects in the world. So what is it, and how is it suited in the current real-time-based Event-Driven Architectures on
Company: Mojix is a US-based leading item chain management solutions provider to retail and industrial enterprises around the globe. The company’s software solutions work in real-time and are hardware agnostic. They aggregate and process data streams from various sensors to provide business insights. Let's see how they used real-time data
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
About Apache Kafka & Apache Airflow Kafka is a popular messaging platform based on pub-sub mechanism. It is a highly available, fault tolerant & distributed system. Most organisations are using Kafka in different use-cases, but the best part of Kafka is it’s service oriented architecture, it makes it language agnostic,
Event Streaming in Apache Kafka Event streaming platforms are the new revolution happening in the data infrastructure and application architecture. The infrastructure technology has concentrated chiefly on building one application, meaning one data store servicing one app. However, in a company, there are more than hundreds of applications, datastores, data warehouses. The
Decoupling microservices architecture with a streaming platform J.S. Haldane wrote about animals falling down mine shafts: "A rat is killed, a man is broken, a horse splashes." That means the bigger the object, the greater its fragility. Modern enterprises deal with numerous systems, data applications on a regular basis. Eventually
Machine learning with Kafka - The modern Stream Processing platform for all data preprocessing needs Some bits about Kafka Kafka is a popular messaging platform based on pub-sub mechanism. It is a highly available, fault tolerant & distributed system. Most organisations are using Kafka in different use-cases, but the best
If you are dealing with a website, you probably have heard of the SSL (secure sockets layer) certificate. For example, you are trying to access google from your computer and see a green button at the URL. You instantly know this website is secured. It means the website is SSL
MoPub provides monetization solutions for mobile app publishers and developers globally. The company platforms to drive maximum revenue for every ad impression and control the user experiences. It has over 1.7 billion monthly unique devices, 1 trillion ad requests, 52000 plus apps, and more than 180 demand-side partners on its
Kafka is a popular messaging platform based on pub-sub mechanism. It is a highly available, fault tolerant & distributed system. Most organisations are using Kafka in different use-cases, but the best part of Kafka is it’s service oriented architecture, it makes it language agnostic, and gives it wide usability. One
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
