Confluent

FEBRUARY 22, 2019

To help meet these requirements, the Data Engineering Team (which I’m part of) has developed a new inter-service messaging framework that not only supports service decomposition work but also helps quench our thirst for analytical data. Because it builds on top of Apache Kafka we decided to call it Franz. Deciding on an Encoding Format.

Kafka 80

Kafka Programming Language Metadata Data 80

Confluent

MAY 28, 2019

Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. In particular, using Confluent Schema Registry makes this really easy for developers to use schemas, and it is designed to be highly available.

Management 83

Management Kafka Java Certification 83

LinkedIn Engineering

MAY 9, 2023

In this blog post we’ll discuss our decision to leverage Couchbase, the challenges that arose, and how we addressed each challenge in our final solution. The cache solution did not work well for us. Espresso supports document schema and the schema can evolve over time. The majority of profile requests are read.

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Database Project Datasets Designing 133

Netflix Tech

DECEMBER 11, 2020

In our previous post and QConPlus talk , we discussed GraphQL Federation as a solution for distributing our GraphQL schema and implementation. Next, we worked with a few other application teams to make DGSs that would expose their APIs alongside the former monolith. The schema registry is developed in-house, also in Kotlin.

IT 99

IT Architecture Java Designing 99

Confluent

APRIL 17, 2019

In particular, the management and monitoring capabilities that we added to Confluent Control Center have evolved it into an indispensable tool for anyone working with Apache Kafka ®. Let’s dive into the first part: how Control Center integrates with Confluent Schema Registry allows you to manage and evolve schemas.

Management 75

Management Kafka Java Building 75

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. How should microservices communicate with each other? This works well for many use cases.

Kafka 109

Kafka Designing Architecture ETL Tools 109

Towards Data Science

SEPTEMBER 5, 2023

Lessons learned from designing a cost-effective containerized data processing solution on Azure Written by: Johannes Schmidt As a small team of data engineers and data scientists , we often work on projects that involve designing and implementing data processing solutions for various customers.

Algorithm 64

Algorithm Architecture Python Designing 64

Towards Data Science

SEPTEMBER 8, 2023

Lessons learned from designing a cost-effective containerized data processing solution on Azure As a small team of data engineers and data scientists , we often work on projects that involve designing and implementing data processing solutions for various customers. The result is written to a storage location once completed. — Image

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Algorithm Architecture Python Designing 52

Netflix Tech

MARCH 10, 2023

We built an asset management platform (AMP), codenamed Amsterdam , in order to easily organize and manage the metadata, schema, relations and permissions of these assets. In this blog, we will be focusing on how we utilize Elasticsearch for indexing and search the assets. This is the layer we’d like to focus on in this blog.

Management 103

Management Metadata Digital Media Kafka 103

Confluent

APRIL 17, 2019

In particular, the management and monitoring capabilities that we added to Confluent Control Center have evolved it into an indispensable tool for anyone working with Apache Kafka ®. Let’s dive into the first part: how Control Center integrates with Confluent Schema Registry allows you to manage and evolve schemas.

Kafka 40

Kafka Management Java Building 40

Confluent

MARCH 12, 2019

On the heels of part one in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support , here in part two we’ll focus on another project that enhances the developer experience when building streaming applications on Kafka: Spring Cloud Stream. What is Spring Cloud Stream?

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Kafka Cloud Programming Coding 111

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. As IoT projects go from concepts to reality, one of the biggest challenges is how the data created by devices will flow through the system.

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Kafka Google Cloud NoSQL Entertainment 97

Edureka

JANUARY 12, 2024

These professionals have a wide range of skills that enable them to work at the front and back ends of web development. How to crack full stack Java developer Interview? How many rounds are there in Full Stack developer interview? What questions will I be asked in a Full Stack developer interview? What is full stack development?

NoSQL 52

NoSQL Java MongoDB Programming 52

Rockset

JANUARY 17, 2020

In this blog we will set up a real-time SQL API on Kafka using AWS Lambda and Rockset. We will also show how to make the same API and query work for any of the teams in the NFL. Optional: Set up Confluent Kafka locally First you have to set up Confluent Hub Platform , the Confluent Hub client and the Confluent CLI.

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Kafka SQL AWS Accessible 40

ProjectPro

JUNE 29, 2021

This blog brings you the most popular Kafka interview questions and answers divided into various categories such as Apache Kafka interview questions for beginners, Advanced Kafka interview questions/Apache Kafka interview questions for experienced, Apache Kafka Zookeeper interview questions, etc. How to study for Kafka interview?

Kafka 40

Kafka Bytes Big Data Java 40

Confluent

OCTOBER 24, 2019

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark , which you are welcome to read about in my previous blog post explaining the story behind this open source example. In this setup, the schemas are set with the synchronizer, which also creates the topics.

Kafka 18

Kafka Java Banking Bytes 18

Confluent

SEPTEMBER 20, 2019

This has changed over time, and we’d like to share some tips on how you can go about choosing the best option. This blog post goes over: The complexities that users will run into when self-managing Apache Kafka on the cloud and how users can benefit from building event streaming applications with a fully managed service for Apache Kafka.

Kafka 21

Kafka Management Cloud AWS 21

Confluent

JULY 31, 2019

Delivers the new Confluent Operator for cloud-native automation on Kubernetes, a redesigned Confluent Control Center user interface to simplify how you manage event streams, and a preview of Role-Based Access Control for enterprise-grade security. Now, let’s discuss how to simplify your management experience.

Kafka 19

Kafka Cloud Accessible Accessibility 19

Confluent

JULY 3, 2019

The idea in this blog post is to mix information coming from two distinct channels: the RSS feeds of sport-related newspapers and Twitter feeds of the FIFA Women’s World Cup. The goal will be to understand how the sentiment of official news related to two of the teams involved compares to that of the tweets. json; charset=utf-8". -d

Data Analysis 21

Data Analysis Kafka Datasets Java 21

Confluent

FEBRUARY 13, 2019

Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach. how much money was in my account at time X). Jay Kreps provides an in-depth view and rationalization on how this works with streaming.

Architecture 90

Architecture Programming Kafka Database-centric 90

Confluent

AUGUST 14, 2019

For Apache Kafka ® , in which services read configuration files on startup, the question arises: how should you protect these secrets? Now you can deploy end-to-end Secret Protection in your production event pipeline, including the brokers, Connect, KSQL, Confluent Schema Registry, Confluent Control Center, Confluent REST Proxy, etc.

Kafka 12

Kafka Metadata Accessible Accessibility 12

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. Prevent, Detect, Resolve Schema Changes 5.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. Prevent, detect, resolve schema changes 5.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

Scott Logic

NOVEMBER 14, 2023

Rather, I am talking here about asynchronously distributing data to other services that maintain their own copy of the data in order to do their work or where we want to emit and distribute events for other services to process. Message brokers also tend to be quite flexible in terms of how messages fan out and which queues they go to.

Technology 52

Technology Kafka AWS Data 52