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.

Kafka 109

Kafka AWS Architecture Cloud 109

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.

Architecture 92

Architecture Programming Kafka Database-centric 92

Confluent

APRIL 20, 2020

The goal of this post is to illustrate PUSH to web from Apache Kafka® with a hands-on example. Our business users are always wanting their data faster so they can […].

Kafka 94

Kafka Java Data 94

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. Four pillars of event streaming. Pillar 4 – Operational plane: Event logging, DLQs and automation. To read the other articles in this series, see: Journey to Event Driven – Part 1: Why Event-First Thinking Changes Everything.

Kafka 94

Kafka Pipeline-centric Architecture Database-centric 94

Confluent

JULY 16, 2019

How cool would it be to build your own burglar alarm system that can alert you before the actual event takes place simply by using a few network-connected cameras and analyzing the camera images with Apache Kafka ® , Kafka Streams, and TensorFlow? Uploading your images into Kafka. Setting up your burglar alarm.

Machine Learning 101

Machine Learning Kafka Java Datasets 101

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 ®. Command Line Shell.

Kafka 95

Kafka Cloud Data Pipeline PostgreSQL 95

Confluent

FEBRUARY 28, 2019

Only a little more than one month after the first release, we are happy to announce another milestone for our Kafka integration. Today, you can grab the Kafka Connect Neo4j Sink from Confluent Hub. . Neo4j extension – Kafka sink refresher. Then it is really up to you what you want to with the event data.

Kafka 88

Kafka Java Programming Language Data Pipeline 88

Rockset

AUGUST 16, 2022

Streams for Everyone If you have come this far it means you have already considered or are considering using event streaming in your data architecture for the wide variety of benefits it can offer. In either case, both Amazon Kinesis and Apache Kafka can help but which one is the right fit for you and your goals.

Kafka 52

Kafka AWS Cloud Java 52

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. Leading up to the 1.0

Kafka 106

Kafka Designing Java Coding 106

Confluent

APRIL 23, 2019

When it was first created, Apache Kafka ® had a client API for just Scala and Java. Since then, the Kafka client API has been developed for many other programming languages which enables you to pick the language you want. At Confluent, we have an engineering team dedicated to the development of these Kafka clients.

Programming Language 102

Programming Language Kafka Programming Scala 102

Confluent

JULY 10, 2019

As discussed in part 2, I created a GitHub repository with Docker Compose functionality for starting a Kafka and Confluent Platform environment, as well as the code samples mentioned below. We used Groovy instead of Java to write our UDFs, so we’ve applied the groovy plugin. gradlew composeUp.

Kafka 89

Kafka Java Bytes SQL 89

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.

Kafka 111

Kafka Transportation Metadata Consulting 111

Confluent

MAY 8, 2019

In anything but the smallest deployment of Apache Kafka ® , there are often going to be multiple clusters of Kafka Connect and KSQL. Kafka Connect rebalances when connectors are added/removed, and this can impact the performance of other connectors on the same cluster. Streaming data into Kafka with Kafka Connect.

Kafka 89

Kafka Management Hadoop Database 89

Rockset

DECEMBER 14, 2022

Rockset’s native connector for Amazon Managed Streaming for Apache Kafka (MSK) makes it simpler and faster to ingest streaming data for real-time analytics. Amazon MSK is a fully managed AWS service that gives users the ability to build and run applications using Apache Kafka.

Kafka 52

Kafka MongoDB SQL AWS 52

Confluent

FEBRUARY 12, 2019

One of the most common integrations that people want to do with Apache Kafka ® is getting data in from a database. That is because relational databases are a rich source of events. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. Setting the Kafka message key.

Kafka 90

Kafka MySQL Bytes Java 90

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. Useful to know in case of a disaster event). How far behind is data replication?

Kafka 87

Kafka Java Metadata Cloud 87

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

Confluent

FEBRUARY 21, 2019

During a recent talk titled Hunters ATT&CKing with the Right Data , which I presented with my brother Jose Luis Rodriguez at ATT&CKcon, we talked about the importance of documenting and modeling security event logs before developing any data analytics while preparing for a threat hunting engagement. FROM SYSMON_JOIN.

Process 83

Process Kafka SQL Datasets 83

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? Table of Contents Kafka vs. RabbitMQ - An Overview What is RabbitMQ? What is Kafka?

Kafka 52

Kafka Big Data Java Architecture 52

Data Engineering Podcast

OCTOBER 15, 2023

What was the process for adding full Java support in addition to SQL? What was the process for adding full Java support in addition to SQL? What are the problems that customers are trying to solve when they come to Decodable? When you launched your focus was on SQL transformations of streaming data.

Process 182

Process Building SQL BI 182

Netflix Tech

MARCH 10, 2023

After reading the asset ids using one of the ways, an event is created per asset id to be processed synchronously or asynchronously based on the use case. For asynchronous processing, events are sent to Apache Kafka topics to be processed. Asynchronous Flow : Data processor consumes the data events sent by the data extractor.

Management 96

Management Kafka Metadata Media 96

Cloudera

AUGUST 2, 2021

If you’re asking yourself, “Isn’t Storm for complex event processing and NiFi for simple event processing?”, A few customers chose a complex event engine like Apache Storm for their simple event processing, even when Apache NiFi is the more practical choice, cutting drastically down on SDLC (software development lifecycle) time.

Kafka 119

Kafka Java Coding Process 119

Christophe Blefari

JUNE 21, 2024

you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with While I enjoy these events, I prefer avoid flying for ecological reasons, and large gatherings can be challenging for an introvert like me. Databricks successfully built hype during the event, announcements after announcements.

Metadata 147

Metadata Data Warehouse BI Scala 147

Knowledge Hut

MAY 20, 2024

Scala is now the next wave of computation engines and more importance has been given to the speed processing rather than the size of the batch, and the ability to process event streaming in real-time. Apache Kafka Built and maintained by LinkedIn, Apache Kafka is a distributed streaming platform.

Scala 52

Scala Technology Kafka Hadoop 52

Cloudera

JUNE 17, 2022

It is widely adopted by network device manufacturers to log event messages from routers, switches, firewalls, load balancers, and other networking equipment. Syslog typically follows an architecture of a syslog client that collects event data from the device and pushes it to a syslog server. . Kafka REST Proxy for streaming data.

Data Pipeline 93

Data Pipeline Building Kafka Java 93

Lyft Engineering

NOVEMBER 29, 2023

It also allowed us to optimize for handling time-series data and event data at scale. Real-time Ingestion Events from our real-time analytics pipeline were configured to be sent into our internal Flink application, streamed to Kafka, and written into Druid. ioConfig: Kafka server info, topic names, etc. (ex.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Cloudera

MARCH 15, 2023

Introduction Many modern application designs are event-driven. An event-driven architecture enables minimal coupling, which makes it an optimal choice for modern, large-scale distributed systems. Send an event to notify other services about the new order. These services might be responsible for checking the inventory (eg.

PostgreSQL 89

PostgreSQL Kafka Database Data 89

Confluent

MAY 2, 2019

When managing Apache Kafka ® clusters at scale, tasks that are simple on small clusters turn into significant burdens. Relatedly, KIP-226 enabled dynamic broker reconfiguration since Apache Kafka 1.1. See the documentation (or, if you please, the Apache Kafka wiki ) for a complete list of which parameters this applies to.

Kafka 89

Kafka Management Food Consulting 89

Jesse Anderson

DECEMBER 12, 2022

Apache Kafka came in 2011 and gave the industry a much better way to move real-time data. Apache Kafka has its architectural limitations, and Apache Pulsar was released in 2016. At various times it’s been Java, Scala, and Python. Apache Flink came in 2011 and gave us our first real streaming engine.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Confluent

MAY 2, 2019

When managing Apache Kafka ® clusters at scale, tasks that are simple on small clusters turn into significant burdens. Relatedly, KIP-226 enabled dynamic broker reconfiguration since Apache Kafka 1.1. See the documentation (or, if you please, the Apache Kafka wiki ) for a complete list of which parameters this applies to.

Kafka 58

Kafka Management Food Consulting 58

Snowflake

APRIL 19, 2023

In Part 2 , we went over ingestion capabilities with Snowflake’s Connector for Kafka using Snowpipe file-based ingestion. In the last part of our blog series, we talked about Kafka, a distributed event streaming platform that enables any volume of data at near real-time latency. What is Snowpipe Streaming?

Data Ingestion 59

Data Ingestion Kafka Java Data Pipeline 59

Confluent

MAY 29, 2019

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. In part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices. Introduction. gradlew composeUp.

Kafka 96

Kafka Management Bytes SQL 96

Zalando Engineering

MAY 7, 2018

Real-time joins in event-driven microservices As discussed in my previous blog post , Kafka is one of the key components of our event-driven microservice architecture in Zalando’s Smart Product Platform. We use it for sequencing events and building an aggregated view of data hierarchies. traverse ( producer.

Kafka 40

Kafka Scala Java Media 40

Cloudera

JULY 18, 2022

In this blog we will explore how we can use Apache Flink to get insights from data at a lightning-fast speed, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required). It provides flexible and expressive APIs for Java and Scala. Use case recap. Apache Flink.

Process 89

Process Kafka Scala SQL 89

Knowledge Hut

JANUARY 18, 2024

Using these high-tech tools, I can explore economic trends, figure out patterns, and predict future events. Spark is most notably easy to use, and it’s easy to write applications in Java, Scala, Python, and R. Samza uses the semantics of Kafka to define how it handles streams. It has changed how we look at and understand data.

Data Process 52

Data Process Process Hadoop Scala 52

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

Striim

JULY 31, 2024

Additionally, the platform’s support for the Tungsten query language (TQL) extends SQL functionality with advanced windowing capabilities and integration options through Java. Our distributed messaging and queuing capabilities, which can be persisted in Kafka, facilitate seamless data flow between publishers and subscribers.

Aggregated Data 52

Aggregated Data Data Ingestion Java Kafka 52