Striim

AUGUST 26, 2023

While Confluent is a well-known option for data streaming platforms, its complexity can pose significant challenges for businesses. This complexity not only has technical repercussions but also impacts business operations by leading to unreliable or missing data, which can be both costly and time-consuming to rectify.

MongoDB 52

MongoDB Google Cloud Kafka AWS 52

Precisely

JULY 21, 2023

This is where Confluent steps in. Founded by the original creators of Kafka, Confluent provides a cloud-native and complete data streaming platform available everywhere a business’s data may reside. This allows for easy development of the real-time customer experience and data-driven operations today’s world demands.

Data Integration 52

Data Integration Kafka Bytes Banking 52

Confluent

OCTOBER 2, 2023

See how an EV manufacturer unlocks real-time operational analytics and drives increased efficiency by building a data mesh architecture on Confluent.

Manufacturing 73

Manufacturing Architecture Building Data 73

Precisely

SEPTEMBER 12, 2023

The Precisely team is excited to be part of Confluent’s Current 2023 conference, September 26 & 27. As a proud member of the Connect with Confluent program , we help organizations going through digital transformation and IT infrastructure modernization break down data silos and power their streaming data pipelines with trusted data.

Kafka 52

Kafka Data Integration Data Pipeline Datasets 52

Jesse Anderson

FEBRUARY 6, 2024

We go in-depth into Streambased.

Kafka 100

Kafka Hadoop Data Warehouse Engineering 100

Confluent

JANUARY 23, 2020

A preview of Confluent Tiered Storage is now available in Confluent Platform 5.4, enabling operators to add an additional storage tier for data in Confluent Platform. If you’re curious about […].

Data 122

Data 122

Confluent

FEBRUARY 10, 2021

We are pleased to announce the release of Confluent Platform 6.1. With this release, we are further simplifying management tasks for Apache Kafka® operators and providing even higher availability for […].

Kafka 142

Kafka Management Cloud 142

Confluent

OCTOBER 4, 2019

This tutorial describes how to set up an Apache Kafka ® cluster on Enterprise Pivotal Container Service (Enterprise PKS) using Confluent Operator , which allows you to deploy and run Confluent Platform at scale on virtually any Kubernetes platform, including Pivotal Container Service (PKS). Operator and Kafka Setup Tasks.

Kafka 16

Kafka Accessible Accessibility Engineering 16

Confluent

MARCH 29, 2021

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

Kafka 130

Kafka Systems Management IT 130

Christophe Blefari

JANUARY 14, 2023

In the meantime you can still check my article Using Airflow the wrong way that summarize a bit the operators vs. containers debate. Operating in the data observability space the usual set of features: tests, data quality monitoring based on historical data, lineage and alerts. I did not read it yet but it looks great. seed funding.

Python 130

Python Kafka Data Scala 130

Confluent

FEBRUARY 25, 2021

This blog post walks through an end-to-end demo that uses the Confluent Operator to deploy Confluent Platform to Kubernetes. We will deploy a connector that watches for commits to a […].

Management 57

Management Kafka Cloud 57

Confluent

APRIL 23, 2019

At Confluent, we have an engineering team dedicated to the development of these Kafka clients. Over time Confluent Platform has started providing Kafka clients for the most popular languages, including: C/C++. You can run them with an on-prem cluster, or you can use the fully managed services in Confluent Cloud.

Programming Language 101

Programming Language Kafka Programming Scala 101

Confluent

JUNE 1, 2020

Over a year ago, Confluent set out on a mission to improve user experience by empowering developers, operators, and architects with intuitive command line interfaces (CLIs) for managing their Confluent […].

Cloud 79

Cloud Management 79

Confluent

JULY 20, 2020

While preparing for the launch of Confluent Cloud ksqlDB, the ksqlDB Team built a system of metrics and monitoring that enabled insight into the experience of operating ksqlDB, the associated […].

Cloud 98

Cloud Process Systems 98

Confluent

JULY 12, 2022

How Confluent built Intelligent Storage, for 10x more scalable and elastic Kafka storage with infinite retention, max cluster uptime, and zero operational burdens.

Kafka 57

Kafka Building Cloud 57

Precisely

MAY 13, 2024

The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions. Ease of deployment An experienced vendor should offer solutions that enable rapid deployment, so that it never slows down your operations. Can you provide references and proof points? #5.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Confluent

APRIL 18, 2019

And Confluent Cloud and Apache Kafka ® are at the center of this transformation. So working with Confluent Cloud and the Kafka experts was an obvious choice,” says Stefan Frehse, Software Architect, Digitalization, for food processing machinery company BAADER. Retail is another industry being disrupted by IoT and Confluent Cloud.

Food 83

Food Cloud Retail Kafka 83

Data Engineering Podcast

MARCH 2, 2020

In this episode Michael Drogalis, product manager for ksqlDB at Confluent, explains how the system is implemented, how you can use it for building your own stream processing applications, and how it fits into the lifecycle of your data infrastructure. What is involved in deploying and maintaining an installation of ksqlDB?

Kafka 100

Kafka Process PostgreSQL MySQL 100

Confluent

JUNE 27, 2019

Confluent’s clients for Apache Kafka ® recently passed a major milestone—the release of version 1.0. Magnus Edenhill first started developing librdkafka about seven years ago, later joining Confluent in the very early days to help foster the community of Kafka users outside the Java ecosystem. Getting started.

Kafka 106

Kafka Designing Java Coding 106

Confluent

APRIL 10, 2019

Instead of having many point-to-point connections between sites, the Confluent Platform provides an integrated event streaming architecture with frictionless data replication between sites. The key to the solution is Confluent Replicator, which enables frictionless data replication between sites. How far behind is data replication?

Kafka 86

Kafka Metadata Java Cloud 86

Data Engineering Weekly

MARCH 24, 2024

As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service. [link] Kai Waehner: The Data Streaming Landscape 2024 This is a comprehensive overview of the state of the data streaming landscape in 2024.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

The Pragmatic Engineer

OCTOBER 31, 2023

Customers of Confluent, CloudAmp, and several other vendors running services out of this region suffered disruption. There is no current ETA for recovery of operations in europe-west9-a, but it is expected to be an extended outage. The issue has been resolved and all AWS Services are operating normally.”

AWS 215

AWS Google Cloud Cloud Food 215

Confluent

MAY 2, 2019

To be fair, a lot of things turn into significant burdens at scale, and it’s Confluent Control Center’s job to ease as many of them as possible. In Confluent Platform 5.2, Confluent Platform 5.2 Those statistical variations notwithstanding, Control Center has leveled up significantly in Confluent Platform 5.2.

Kafka 88

Kafka Management Food Consulting 88

Rockset

APRIL 26, 2022

Confluent made it easy for everyone to use streaming data in their data stack by launching Confluent Cloud. This is especially useful and very efficient when staying in sync with operational databases, which are likely to have a high rate of inserts, updates and deletes. And it is not only about IoT where the growth will happen.

Kafka 52

Kafka Data Warehouse Database Data 52

Rockset

AUGUST 16, 2022

Real quick disclaimer, I currently work at Rockset but previously worked at Confluent, a company known for building Kafka based platforms and cloud services. For information about per partition throughput we have to look at Confluent Cloud documentation as there is no standard for Kafka. Let’s find out!

Kafka 52

Kafka AWS Cloud Java 52

Data Engineering Podcast

JULY 10, 2022

In this episode Chris Riccomini shares his experiences building and scaling data operations at WePay and LinkedIn, as well as the lessons he has learned working with other teams as they automated their own systems. What are the most interesting, innovative, or unexpected ways that you have seen automation of data operations used?

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Rockset

APRIL 26, 2023

This architecture has a few key components: Streaming data : Streaming data is generated by website activity and transported to Rockset via Confluent Cloud. Polling : An EC2 instance periodically executes queries on the RTA database for features, feeds them into a machine learning model, and transports model results via Confluent Cloud.

Architecture 52

Architecture Transportation Data Lake Insurance 52

Rockset

SEPTEMBER 14, 2021

We’re introducing a new Rockset Integration for Apache Kafka that offers native support for Confluent Cloud and Apache Kafka, making it simpler and faster to ingest streaming data for real-time analytics. With the Kafka Integration, users no longer need to build, deploy or operate any infrastructure component on the Kafka side.

Kafka 52

Kafka SQL MongoDB Computer Science 52

Rockset

OCTOBER 21, 2022

Again, Rockset is one of the few real-time analytics databases that avoids expensive merge operations. Internal tools for operational analytics: I chose Retool because it’s easy to integrate and use APIs as a resource to display the query results. In my workshop, I used Mockaroo data and sent that to Kafka.

Kafka 52

Kafka Building SQL Database 52

Confluent

MAY 2, 2019

To be fair, a lot of things turn into significant burdens at scale, and it’s Confluent Control Center’s job to ease as many of them as possible. In Confluent Platform 5.2, Confluent Platform 5.2 Those statistical variations notwithstanding, Control Center has leveled up significantly in Confluent Platform 5.2.

Kafka 57

Kafka Management Food Consulting 57

Monte Carlo

NOVEMBER 27, 2023

Data products–analytical, ML and AI applications–need to become just as reliable as those applications to truly become enmeshed within critical business operations. This will ensure that data teams can operate reliable RAG architectures. No one would use a mobile banking or navigation app that crashed every 4 hours.

Unstructured Data 59

Unstructured Data Data Pipeline Data Banking 59

Data Engineering Podcast

APRIL 19, 2020

What are some of the most interesting and challenging operational aspects of running your platform? What are some of the most interesting and challenging operational aspects of running your platform? How has the overall landscape of streaming systems changed since you first began working on Eventador?

Building 100

Building PostgreSQL MongoDB SQL 100

Data Engineering Weekly

NOVEMBER 26, 2023

” Confluent, the company behind Kafka, Kafka Stream, and KSQL, launched Flink as a Service on its cloud product. It is one of the less tracked patterns, but if you noticed deeply, a fleet of companies are offering “Flink as a Service.” However, I believe there is tons of innovation left on the streaming side of it.

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Rockset

NOVEMBER 6, 2023

He was joined by Confluent CEO Jay Kreps to discuss the convergence of data streaming and GenAI. Shu provided some insight into the latency requirements Pinterest operates with on the ad serving side, such as being able to score 500 ads within 100ms. Cost is a common concern when operating at scale. Both matter.

Architecture 52

Architecture Engineering Building Systems 52

Knowledge Hut

JULY 3, 2023

Due to the data ingestion process, you can perform various operations like data analysis, dashboarding and other analytical and business tools. Improved Process Efficiency: Real-Time data ingestion gives organizations in-depth knowledge of operations, thus helping them to monitor and optimize the process.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Confluent

FEBRUARY 20, 2019

To help you along the submission process, the Confluent Developer Advocate Team is holding online office hours where you can come ask any Summit-related question you want. From Zero to Hero with Kafka Connect, by Robin Moffat (Confluent). When to KSQL & When to Live the KStream, by Dani Traphagen (Confluent).

Kafka 66

Kafka Programming Architecture Technology 66

Rockset

DECEMBER 14, 2022

Amazon MSK provides control-plane operations such as creating and deleting clusters, while allowing users to use Apache Kafka data-plane operations for producing and consuming data. With the MSK integration, users do not need to build, deploy or operate any infrastructure components on the Kafka side.

Kafka 52

Kafka MongoDB SQL AWS 52