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Best Practices for Analyzing Kafka Event Streams

Rockset

In many organizations, Kafka is the foundational platform for real-time event analytics, acting as a central location for collecting event data and making it available in real time. Ideally, data should be available for query within seconds of the event occurring in order to support real-time applications on event streams.

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Top 10 AWS Applications and Their Use Cases [2024 Updated]

Knowledge Hut

AWS Lambda AWS Lambda is a serverless computing service that enables developers to run code in response to events without needing to work with servers. It allows businesses to construct event-driven architectures and microservices in which functions are invoked by events like file uploads, database changes, or HTTP requests.

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Big Data vs Traditional Data

Knowledge Hut

Data analytics can be performed after the event in Traditional Data. Let us now take a detailed look into how Big Data differs from Traditional relational databases. Big Data vs Traditional Data: Flexibility Traditional Data functions are based on a static relational database.

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Top 10 Most Used AWS Services in 2024 You Should Know!

Edureka

Amazon RDS (Relational Database Service) Amazon RDS is a completely controlled relational database provider that simplifies database administration responsibilities together with setup, patching, and backups. It supports multiple database engines, inclusive of MySQL, PostgreSQL, Oracle, and Microsoft SQL Server.

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Top 7 AWS Cloud Practitioner Projects in 2023 [With Source Code]

Knowledge Hut

Professionals can define event triggers and code without administering servers, with scalability occurring automatically based on demand. Setting Up a Relational Database with Amazon RDS Difficulty Level: Intermediate AWS cloud practitioner applications can create relational databases using the Amazon Relational Database Service (RDS).

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Big Data Technologies that Everyone Should Know in 2024

Knowledge Hut

NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. Predictive analytics is used to identify patterns and trends in data in order to make predictions about future events.

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Stateful, Distributed Stream Processing on Flink with Fabian Hueske - Episode 57

Data Engineering Podcast

Summary Modern applications and data platforms aspire to process events and data in real time at scale and with low latency. How do you handle out of order events in Flink, especially as the delay for a given event increases? How do you handle out of order events in Flink, especially as the delay for a given event increases?

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