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Automating Dynamic Table Creation with Event Logging

Cloudyard

This blog post showcases a novel approach combining Snowflake’s Event Logging and Dynamic Tables to automate the creation and population of dynamic tables based on Copy operations. Event-Driven Logging The journey begins with an innovative approach to log and monitor data copy operations.

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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

These are the questions we asked ourselves, and I am excited to announce the technical preview of DataFlow Designer, making self-service dataflow development a reality for Cloudera customers. Figure 1: The Designer canvas with a brand new look and feel. directly in the designer makes building new flows a lot more self-service.

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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. More details about this use case can be found on LinkedIn’s engineering blog.

Process 119
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How to Stream JSON Data Using Server-Sent Events and FastAPI in Python over HTTP?

Workfall

Reading Time: 9 minutes In this blog, we will cover: What are Server-Sent Events? Why Stream Data Using Server-Sent Events (SSE)? Hands-On Conclusion What are Server-Sent Events? These events can carry information like notifications, updates, or alerts. What is FastAPI?

Python 85
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How to Use Kafka for Event Streaming in a Microservices Architecture?

Workfall

In this blog, we’ll explore how to harness the power of Kafka to streamline event streaming within a microservices architecture and unlock its full potential for building scalable and responsive systems. In the event of server failure, Kafka can autonomously restart itself, ensuring uninterrupted data flow. Let’s get started!

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SimulatedRides: How Lyft uses load testing to ensure reliable service during peak events

Lyft Engineering

However, at Lyft we have come to realize that load testing in production is a powerful tool to prepare systems for unexpected bursty traffic and peak events. Lyft must operate seamlessly even when demand spikes It’s imperative for Lyft to be highly available during peak events like Halloween and New Year’s Eve.

Coding 131
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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities.