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Using DynamoDB Single-Table Design with Rockset

Rockset

Background The single table design for DynamoDB simplifies the architecture required for storing data in DynamoDB. Conclusion Single table design is a popular data modeling technique in DynamoDB. Instead of having multiple tables for each record type you can combine the different types of data into a single table.

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20 Best IoT Tools to Consider in 2023

Knowledge Hut

Custom analytics applications for IoT data, including machine learning and predictive analytics. MQTT Designed for low-bandwidth communication between devices and a central broker, MQTT (Message Queueing Telemetry Transport) is amongst widely used IoT tools, lightweight publish-subscribe messaging protocol in IoT development.

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Data Mesh Architecture: Revolutionizing Event Streaming with Striim

Striim

The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time. Additionally, the decentralized data storage model reduces the time to value for data consumers by eliminating the need to transport data to a central store to power analytics.

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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Finally, a well-designed user interface is an essential part of any successful data engineering project. The pipeline in this reference design collects data from two different sources, then conducts a join operation on related records from each stream, then enriches the output, and finally produces an average.

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Top 15 Cloud Computing Projects Ideas for Beginners in 2023

ProjectPro

Get More Practice, More Big Data and Analytics Projects , and More guidance.Fast-Track Your Career Transition with ProjectPro Cloud-based Bus Pass System The project's goal is to maintain 24x7 availability for the commuters to obtain a bus pass for a hassle-free commute. It functions as per the data visualization concept.

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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. This type of data has become an essential component of real-time analytics applications because reacting to events quickly can have major effects on a business’ revenue.

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