Uber Engineering

SEPTEMBER 23, 2021

With this new ability came new challenges that needed to be solved at Uber, such as systems for ad auctions, bidding, attribution, reporting, and more. This article focuses on how we … The post Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot appeared first on Uber Engineering Blog.

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Kafka Process Systems Engineering 135

Knowledge Hut

MAY 3, 2024

Spark Streaming Vs Kafka Stream Now that we have understood high level what these tools mean, it’s obvious to have curiosity around differences between both the tools. Spark Streaming Kafka Streams 1 Data received from live input data streams is Divided into Micro-batched for processing. 6 Spark streaming is a standalone framework.

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Kafka Scala Java Amazon Web Services 98

LinkedIn Engineering

OCTOBER 19, 2023

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.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

DoorDash Engineering

AUGUST 13, 2024

This journey began with Kafka, one of our most critical and widely used infrastructure components. Kafka is a distributed event streaming platform that DoorDash uses to handle billions of real-time events. To address this, we developed Kafka Self-Serve, our flagship self-serve storage infrastructure platform.

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Kafka Engineering AWS Designing 82

Towards Data Science

FEBRUARY 18, 2024

Although the Faust library aims to bring Kafka Streaming ideas into the Python ecosystem, it may pose challenges in terms of ease of use. An event is a small, self-contained object that contains the details of something happened at some point in time e.g. user interaction. An event is generated by a producer (e.g.

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Kafka Python Process Google Cloud 76

Snowflake

MARCH 2, 2023

But before data can be transformed and served or shared, it must be ingested from source systems. As part of this, we are also supporting Snowpipe Streaming as an ingestion method for our Snowflake Connector for Kafka. This solution is both scalable and reliable, as we have been able to effortlessly ingest upwards of 1GB/s throughput.”

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Kafka Data Ingestion Data Pipeline Cloud Storage 126

Zalando Engineering

APRIL 22, 2024

But our system is event driven, all requests we process are delivered as events via Nakadi. We know if our system runs within its normal limits that we meet our SLOs. If we would control the ingestion of message requests into our system we would be able to process the task in a timely manner.

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Algorithm Systems Kafka Designing 75

Confluent

AUGUST 21, 2020

Apache Kafka® is one of the most popular event streaming systems. There are many ways to compare systems in this space, but one thing everyone cares about is performance. Kafka […].

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Kafka Systems 145

dbt Developer Hub

NOVEMBER 3, 2022

Let’s discuss how to convert events from an event-driven microservice architecture into relational tables in a warehouse like Snowflake. This rule empowers microservices to change their database schemas however they like without worrying about breaking other systems. What are Events?

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Kafka ETL Tools BI Database 52

Confluent

SEPTEMBER 24, 2020

Operating critical Apache Kafka® event streaming applications in production requires sound automation and engineering practices. Streaming applications are often at the center of your transaction processing and data systems, requiring […].

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Kafka Engineering Systems Process 143

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. This model is completely free form, we can build anything provided that we apply mechanical sympathy with the underlying system behavior. Four pillars of event streaming. Building the KPay payment system. Building the KPay payment system.

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Kafka Pipeline-centric Architecture Database-centric 94

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

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Kafka Hadoop Big Data ETL Tools 93

Confluent

FEBRUARY 27, 2019

What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? When it comes to the emerging serverless world, It makes sense to validate how Apache Kafka ® fits in considering that it is mission critical in 90 percent of companies. Event-first FaaS? Event-first FaaS.

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Kafka AWS Architecture Cloud 109

Data Engineering Podcast

JULY 6, 2020

Summary There are an increasing number of use cases for real time data, and the systems to power them are becoming more mature. For more opportunities to stay up to date, gain new skills, and learn from your peers there are a growing number of virtual events that you can attend from the comfort and safety of your home.

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Systems Kafka SQL Data Engineer 100

Confluent

APRIL 4, 2019

Event-driven architecture means just that: It’s all about the events. In a microservices architecture, events drive microservice actions. No event, no shoes, no service. In the most basic scenario, microservices that need to take action on a common stream of events all listen to that stream.

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Kafka Data Cleanse Retail Finance 108

Rock the JVM

JANUARY 21, 2023

Giannis is a proud alumnus of Rock the JVM, working as a Solutions Architect with a focus on Event Streaming and Stream Processing Systems. Introduction Apache Kafka is a well-known event streaming platform used in many organizations worldwide. Environment Setup First, we want to have a Kafka Cluster up and running.

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Kafka Java Scala Coding 69

Confluent

JANUARY 7, 2021

At Zendesk, Apache Kafka® is one of our foundational services for distributing events among different internal systems. We have pods, which can be thought of as isolated cloud environments where […].

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Kafka Cloud Systems 119

Data Engineering Podcast

MARCH 2, 2020

Summary Building applications on top of unbounded event streams is a complex endeavor, requiring careful integration of multiple disparate systems that were engineered in isolation. The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing.

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Kafka Process PostgreSQL MySQL 100

ProjectPro

FEBRUARY 8, 2023

Did you know thousands of businesses, including over 80% of the Fortune 100, use Apache Kafka to modernize their data strategies? Apache Kafka is the most widely used open-source stream-processing solution for gathering, processing, storing, and analyzing large amounts of data. What is Apache Kafka Used For?

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Kafka Banking Healthcare Medical 52

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Event-driven architecture. Event-driven, reactive architecture. Being event first.

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Architecture Programming Kafka Database-centric 92

Confluent

JUNE 26, 2019

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. I see this pattern coming up more and more in the field in conjunction with Apache Kafka ®.

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Kafka Designing Architecture Coding 109

Rockset

MARCH 5, 2020

Apache Kafka has seen broad adoption as the streaming platform of choice for building applications that react to streams of data in real time. 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.

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Kafka Data Warehouse Data Lake Relational Database 40

Confluent

MAY 29, 2024

The dual-write problem can arise in any distributed system. Fortunately, it has solutions in event sourcing & the transactional outbox & listen-to-yourself patterns.

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Systems IT Kafka 94

Confluent

MARCH 29, 2021

Self-managing a highly scalable distributed system with Apache Kafka® at its core is not an easy feat. That’s why operators prefer tooling such as Confluent Control Center for administering and […].

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Kafka Systems Management IT 131

Confluent

MAY 23, 2019

Let us cut to the chase: Kafka Summit London session videos are available! This year’s London event was almost double the size of last year, so I’m especially happy to see these numbers on the page: 2 days of Apache Kafka ®. World-class Kafka keynotes. And if you weren’t there? Well, dig in and start learning! 3 keynotes.

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Kafka Cloud Database Engineering 109

Confluent

MAY 30, 2019

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®. and OpenID Connect.

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Kafka Cloud Data Pipeline PostgreSQL 95

Data Engineering Podcast

NOVEMBER 26, 2019

Summary The team at Sentry has built a platform for anyone in the world to send software errors and events. In this episode James Cunningham and Ted Kaemming describe the process of rearchitecting a production system, what they learned in the process, and some useful tips for anyone else evaluating Clickhouse.

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Data Warehouse Building PostgreSQL Kafka 100

Confluent

MAY 21, 2021

Apache Kafka® applications run in a distributed manner across multiple containers or machines. And in the world of distributed systems, what can go wrong often goes wrong. This blog post […].

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Kafka Systems 128

Confluent

APRIL 16, 2019

It seems like there’s a Kafka Summit every other month. We now have the Kafka Summit New York in the books, and the session videos are available in record time. As I usually do, let me break the event down for you. We planned the New York event to be a bit smaller than last fall’s flagship San Francisco Summit.

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Kafka Database Programming Systems 102

Confluent

MAY 28, 2020

For many organizations, Apache Kafka® is the backbone and source of truth for data systems across the enterprise. Protecting your event streaming platform is critical for data security and often […].

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Kafka Data Security Systems Data 113

Christophe Blefari

NOVEMBER 8, 2024

On November 19th, I'm organising with dltHub folks the first dlt Paris community meetup , the event will take place at 42 and will start a 16h. We are very proud and honoured, along with the organising committee, that around 300 people took a paid ticket to the event. Why is Kafka always late?

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Data Kafka Food Data Preparation 130

Scott Logic

APRIL 22, 2024

In my previous blog post I looked at various technologies for sending data asynchronously between services including RabbitMQ, Kafka, AWS EventBridge. I’ve coloured the data entities according to their types and we see there’s a few different patterns like events and state which we’ll discuss in a moment.

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AWS Metadata Systems Kafka 52

Confluent

MARCH 26, 2019

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. This enables choreographed service collaborations, where many components can subscribe to events stored in the event log and react to them asynchronously.

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Kafka Transportation Metadata Consulting 111

Afterpay Tech

SEPTEMBER 6, 2022

Photo by Leon S on Unsplash By: Jing Li Summary This article articulates the challenges, innovation and success of the Kafka implementation in Afterpay’s Global Payments Platform in the PCI zone. The data is spread across other systems within Afterpay. Instead a message queue, with opt-in subscription models, would be ideal.

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Kafka AWS Metadata Data Warehouse 52

Netflix Tech

SEPTEMBER 29, 2022

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

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Systems Metadata Media Kafka 87

Rockset

NOVEMBER 6, 2019

Events are messages that are sent by a system to notify operators or other systems about a change in its domain. With event-driven architectures powered by systems like Apache Kafka becoming more prominent, there are now many applications in the modern software stack that make use of events and messages to operate effectively.

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Kafka Data Lake SQL Hadoop 40

Confluent

APRIL 11, 2019

This explains why users have been looking for a reliable way to stream their data from Apache Kafka ® to S3 since Kafka Connect became available. In March 2017, we released the Kafka Connect S3 connector as part of the Confluent Platform. And no one likes missing events. So, it happened. How about we take it for a spin?

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Kafka AWS Metadata Architecture 110