Data contracts are essential for ensuring data consistency and adaptability in data engineering projects. This blog explains how to implement data contract in a Kafka project and how it can be utilized to solve data quality and inconsistency issues.
Apache Kafka empowers data-driven enterprises by enabling real-time data processing, seamless data integration, efficient microservices architecture, event sourcing, and effective handling of IoT and sensor data. With scalability, fault tolerance, and robust data security, Kafka serves as a reliable solution for driving business growth and ensuring efficient data management.
Powering Data-Driven Enterprises with Apache Kafka Read More »
Imagine this scenario, you are working on a Kafka cluster, everything is working perfectly, but suddenly it all goes wrong. All the graphs, charts, and dashboards just go blank. You are totally in the dark and so are your customers. Even if this scenario lasts for a short while, you will still risk the wrath
How to Manage the Kafka Cluster Read More »
Now, Kafka provides an ideal mechanism for storing consumer offsets. Consumers can commit their offsets in Kafka by writing them to a durable (replicated) and highly available topic. This article covers some internals of Offset management in Apache Kafka. Offset in Kafka The offset is a unique ID assigned to the partitions, which contains messages.
Offset: Management and Role Read More »
Kafka is a distributed, partitioned, replicated, log service that is a massively scalable pub/sub message queue architected as a distributed transaction log. It provides a unified platform for handling all the real-time data feeds a large company might have. In our last article series of Kafka, we learned about its brief regarding introduction, function and
Optimizing Kafka: Architecture Insights and Performance Tips Read More »
Today, the digital world is growing in a complex form and is coiled in a storage volume, variety of structures and velocity. The democratization of PCs, laptops, smartphones and tablets, and the rising craze for social networks encouraged the exchange and production of new data. Besides the public data, a large piece of data is
Data migration: RDBMS to Hadoop Read More »
Talking about Big Data sometimes take us to a very steady process of data analysis, Real-Time/Streaming Data Analytics. Companies who are looking for better aspects for their business and customers’ activities such as billing/metering, server activity, website clicks and so on, are into Real-Time Streaming Data Analytics. What allows any business to react without getting delayed to
Introduction to real – time/streaming data analytics Read More »