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. Quality problems lead to first responders unable to check into disaster sites or parents unable to access ESA funds. So our solution was to start using an intentional contract: Events.

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Kafka ETL Tools BI Database 52

Confluent

JUNE 11, 2019

For event streaming application developers, it is important to continuously update the streaming pipeline based on the need for changes in the individual applications in the pipeline. It is also important to understand some of the common streaming topologies that streaming developers use to build an event streaming pipeline.

Kafka 86

Kafka Cloud Java MongoDB 86

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.

Kafka 108

Kafka Data Cleanse Retail Finance 108

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

FEBRUARY 27, 2019

FaaS functions only solve the compute part, but where is data stored and managed, and how is it accessed? What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? The key to event-first systems design is understanding that a series of events captures behavior. Next Steps.

Kafka 109

Kafka AWS Architecture Cloud 109

Confluent

JUNE 7, 2019

How we use Apache Kafka and the Confluent Platform. Apache Kafka ® is the central data hub of our company. At TokenAnalyst, we’re using Kafka for ingestion of blockchain data—which is directly pushed from our cluster of Bitcoin and Ethereum nodes—to different streams of transformation and loading processes.

Accessibility 93

Accessibility Accessible Kafka Scala 93

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

Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes.

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Kafka Data Cloud Big Data 78

Confluent

JUNE 26, 2019

I see this pattern coming up more and more in the field in conjunction with Apache Kafka ®. In these projects, microservice architectures use Kafka as an event streaming platform. Apache Kafka – An event streaming platform for microservices. Store streams of events in a fault-tolerant way. Microservices.

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Kafka Designing Architecture Coding 109

Cloudera

SEPTEMBER 20, 2021

There are many ways that Apache Kafka has been deployed in the field. In our Kafka Summit 2021 presentation, we took a brief overview of many different configurations that have been observed to date. Kafka as software falls more cleanly into the Parallel Systems Reliability discussed below but some parts of it can end up Serial.

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Kafka Systems Utilities Bytes 114

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

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

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

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. Context The asynchronous processing capability that Kafka offers opens up numerous innovation opportunities to interact with other services.

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Kafka AWS Metadata Data Warehouse 52

Confluent

JUNE 25, 2019

It’s official: Apache Kafka ® 2.3 Core Kafka. In order to keep your data safe, Kafka creates several replicas of it on different brokers. Kafka will not allow writes to proceed unless the partition has a minimum number of in-sync replicas. Kafka Connect. has been released! This is called the “minimum ISR.”.

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Kafka Accessible Accessibility IT 111

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?

Kafka 110

Kafka AWS Metadata Architecture 110

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

Rockset

OCTOBER 4, 2022

Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. The broad adoption of Apache Kafka has helped make these event streams more accessible. In this post, we compare two options for real-time analytics on event and CDC streams: Rockset and ClickHouse.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

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

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.

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Kafka Management Hadoop Database 89

Confluent

MAY 13, 2019

In the last year, we’ve experienced enormous growth on Confluent Cloud, our fully managed Apache Kafka ® service. As Confluent Cloud has grown, we’ve noticed two gaps that very clearly remain to be filled in managed Apache Kafka services. Five seconds to Kafka (or, never make another cluster again!).

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Kafka Cloud Building Management 100

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.

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Process Kafka SQL Datasets 83

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.

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Kafka MongoDB SQL AWS 52

Rockset

OCTOBER 21, 2022

When building a real-time customer 360 app, you’ll definitely need event data from a streaming data source, like Kafka. We’ll be building a basic version of this using Kafka, S3, Rockset, and Retool. We’ll integrate with Kafka and S3 through Rockset’s data connectors.

Kafka 52

Kafka Building SQL Database 52

Rockset

FEBRUARY 24, 2022

Event-based architectures have been gaining popularity for some time. With increased adoption has come a flood of options for aggregating and analyzing events. Which databases are optimized for ingesting streaming events and analyzing them in real time? Supporting separation of data access (read/write) mechanisms like CQRS.

AWS 52

AWS Amazon Web Services Kafka SQL 52

Data Engineering Podcast

JULY 1, 2019

Scaling the volume of events that can be processed in real-time can be challenging, so Paul Brebner from Instaclustr set out to see how far he could push Kafka and Cassandra for this use case. Coming up this fall is the combined events of Graphorum and the Data Architecture Summit.

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Kafka Finance Media Architecture 100

Snowflake

NOVEMBER 11, 2024

Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively. This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution.

Data Architecture 79

Data Architecture Architecture Data Lake Kafka 79

Confluent

JUNE 13, 2019

This data pipeline is a great example of a use case for Apache Kafka ®. Astronomers need to be able to collect, process, characterize, and distribute data on these objects in near real time, especially for time-sensitive events. The case for Apache Kafka. Astronomy in real time. Alert data pipeline and system design.

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Kafka Bytes Data Pipeline Python 102

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.

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Kafka SQL MongoDB Computer Science 52

Netflix Tech

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Datasets 89

Datasets Computer Science Systems Kafka 89

Netflix Tech

MARCH 10, 2023

Studio applications use this service to store their media assets, which then goes through an asset cycle of schema validation, versioning, access control, sharing, triggering configured workflows like inspection, proxy generation etc. This pattern grows over time when we need to access and update the existing assets metadata.

Management 96

Management Kafka Metadata Media 96

Rockset

JULY 28, 2022

CDC enables true real-time analytics on your application data, assuming the platform you send the data to can consume the events in real time. Options For Change Data Capture on MongoDB Apache Kafka The native CDC architecture for capturing change events in MongoDB uses Apache Kafka.

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MongoDB Kafka NoSQL Data Lake 52

Precisely

DECEMBER 28, 2023

Enterprise technology is having a watershed moment; no longer do we access information once a week, or even once a day. Streaming data pipelines, by extension, offer an architecture capable of handling large volumes of data, accommodating millions of events in near real time. But insights derived from day-old data don’t cut it.

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Data Pipeline Building Kafka Big Data 91

Pinterest Engineering

NOVEMBER 18, 2024

This is particularly useful in environments where multiple applications need to access and process the same data. This configuration ensures that if the host goes down due to an EC2® event or any other reason, it will be automatically reprovisioned.

Kafka 46

Kafka MySQL Database Software Engineering 46

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

Cloudera

FEBRUARY 21, 2023

This transformation can be performed on incoming records of a Kafka topic before SSB sees the data. If the Kafka topic has CSV data that we want to add keys and types to it. If the schema you want does not match the incoming Kafka topic. data transformations can be defined using the Kafka Table Wizard.

SQL 109

SQL Kafka Raw Data Data 109

Rockset

APRIL 26, 2022

As Kafka Summit is in full swing in London this week and the topic of event streaming is all over my Linkedin feed, I saw a post asking " Is streaming dead? That streaming is rocking and with Kafka Summit this week, I thought it a good time to emphasize the importance of streaming data in today’s modern real-time data stack.

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Kafka Data Warehouse Database Data 52