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How to Use Kafka for Event Streaming in a Microservices Architecture?

Workfall

It serves as a central event hub, allowing different microservices or applications to publish and subscribe to events, enabling loose coupling, scalability, and asynchronous communication. Log Aggregation and Analytics: Kafka’s durable and fault-tolerant design makes it an excellent choice for log aggregation.

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Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Rockset

It has expanded to various industries and applications, including IoT sensor data, financial data, web analytics, gaming behavioral data, and many more use cases. Flexible schema : JSON allows for flexible schema design, which is useful for handling data that may change over time.

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20 Best IoT Tools to Consider in 2023

Knowledge Hut

This platform provides a range of IoT tools and technologies to help developers build and manage IoT systems, including device management, data processing, and analytics. Data processing of large volumes of data including real-time data processing, storage, and analysis.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. A complete end-to-end stream processing pipeline is shown here using an architectural diagram.

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Data Mesh Architecture: Revolutionizing Event Streaming with Striim

Striim

A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Access Solution to Data Warehouse Design for an E-com Site 4.