Confluent

MAY 7, 2019

Every developer who uses Apache Kafka ® has used a Kafka consumer at least once. Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. Consistency.

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Kafka Accessible Accessibility Metadata 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

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

Netflix Tech

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. During this evolution, quite often we receive requests to update the existing assets metadata or add new metadata for the new features added.

Management 96

Management Kafka Metadata Media 96

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.

AWS 52

AWS Metadata Systems Kafka 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.

Kafka 52

Kafka AWS Metadata Data Warehouse 52

Christophe Blefari

JUNE 21, 2024

Below a diagram describing what I think schematises data platforms: Data storage — you need to store data in an efficient manner, interoperable, from the fresh to the old one, with the metadata. It adds metadata, read, write and transactions that allow you to treat a Parquet file as a table. Databricks bought Tabular for $1b.

Metadata 147

Metadata Data Warehouse BI Scala 147

Netflix Tech

NOVEMBER 14, 2023

Using fixed lookback windows to always reprocess data, assuming that most late-arriving events will occur within that window. Add alerts to flag when late arriving data appears, block the pipelines, and perform a manual intervention where we triggered backfill pipelines to handle the missed events. Some techniques we used were: 1.

Data Engineering 107

Data Engineering Data Engineer Engineering Metadata 107

Netflix Tech

JUNE 1, 2023

New content or national events may drive brief spikes, but, by and large, traffic is usually smoothly increasing or decreasing. It also included metadata about ads, such as ad placement and impression-tracking events. We stored these responses in a Keystone stream with outputs for Kafka and Elasticsearch.

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Algorithm Metadata Kafka Systems 138

Rockset

MARCH 18, 2024

While it's well-known that Flink excels at filtering, joining and enriching streaming data from Apache Kafka® or Confluent Cloud , what is less known is that it is increasingly becoming ingrained in the end-to-end stack for AI-powered applications. These additional inputs are referred to as metadata filtering. What is RAG?

Cloud 64

Cloud Building Metadata Kafka 64

Christophe Blefari

JULY 13, 2024

It provides abstractions and tools for the translation of lakehouse table format metadata. Apache Kafka overview — If you're not familiar with Kafka this is a great overview. Stories How Canva collects 25 billion events per day — Protobuf + Amazon Kinesis.

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Kafka AWS Data Database 130

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?

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Kafka Java Metadata Cloud 87

Data Engineering Weekly

MAY 16, 2023

Since Kafka is almost synonymous with real-time data processing, we often call this a “Fronting Kafka” pattern. The Fronting Kafka pattern follows a two-cluster approach. Like the staging environment, Fronting Kafka receives all the events without validation. Now, Why is Data Quality Expensive?

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Engineering Kafka Data Pipeline Data Warehouse 110

Confluent

MARCH 20, 2019

Back in May 2017, we laid out why we believe that Kafka Streams is better off without a concept of watermarks or triggers , and instead opts for a continuous refinement model. By continuous refinement , I mean that Kafka Streams emits new results whenever records are updated. Use case: Alerting. But how can you build alerts?

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Kafka Programming Process Designing 106

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.

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Process Kafka SQL Datasets 83

Scribd Technology

MAY 18, 2021

Streaming data from Apache Kafka into Delta Lake is an integral part of Scribd’s data platform, but has been challenging to manage and scale. We use Spark Structured Streaming jobs to read data from Kafka topics and write that data into Delta Lake tables. To serve this need, we created kafka-delta-ingest.

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Kafka Data Warehouse Bytes Metadata 52

Cloudera

AUGUST 10, 2021

Atlas / Kafka integration provides metadata collection for Kafa producers/consumers so that consumers can manage, govern, and monitor Kafka metadata and metadata lineage in the Atlas UI. Deep Dive 2: Atlas / Kafka integration. This will expose newly created Kafka topics to Atlas.

Cloud 96

Cloud Kafka Metadata SQL 96

Pinterest Engineering

NOVEMBER 18, 2024

This configuration ensures that if the host goes down due to an EC2® event or any other reason, it will be automatically reprovisioned. Calls the data plane Apache Kafka® Connect API to obtain information about the current state of the system, such as the status of currently running connectors and their configurations.

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Kafka MySQL Database Software Engineer 46

Snowflake

NOVEMBER 11, 2024

With Snowpipe for Apache Kafka (public preview soon in AWS and Microsoft Azure), a “pull” mechanism, rather than the existing “push” connector, allows you to extract and ingest Apache Kafka events into your Snowflake account directly without hosting your own Kafka Connect cluster.

Data Architecture 79

Data Architecture Architecture Data Lake Kafka 79

ProjectPro

JULY 8, 2021

A detailed introduction to Apache Kafka Architecture, one of the most popular messaging systems for distributed applications. Kafka Streams and Kafka Connect were used to keep track of the threat of the COVID-19 virus and analyze the data for a more thorough response on local, state, and federal levels.

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Kafka Architecture IT Big Data 40

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.

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PostgreSQL Kafka Database Data 89

Data Engineering Podcast

MAY 18, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. What is the current state of the ecosystem for generating and sharing metadata between systems? What are your goals for the OpenLineage effort?

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

Cloudera

OCTOBER 25, 2021

From this release, Streams Messaging templates will support scaling with automatic rebalancing allowing you to grow or shrink your Apache Kafka cluster based on demand. Kafka Scaling. There will now be two specific hostgroups for Kafka Brokers; These are the Core_broker and Broker host groups.

Cloud 89

Cloud Kafka Metadata Management 89

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.

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Kafka Management Bytes SQL 96

Data Engineering Podcast

JULY 10, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!

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Metadata MongoDB MySQL Data Pipeline 100

Picnic Engineering

SEPTEMBER 8, 2022

Almost all internal services emit events over RabbitMQ. Our pipeline captures these events and sends them to Confluent Cloud. We use the RabbitMQ Source connector for Apache Kafka Connect. RabbitMQ We have already mentioned that RabbitMQ is used as the main inter-service communication event bus at Picnic.

Kafka 52

Kafka Metadata AWS Java 52

Data Engineering Weekly

OCTOBER 13, 2024

link] Expedia: Enhancing Data Reliability With An SLO Platform Expedia Group Technology designed a new SLO platform to enhance data reliability, leveraging Kafka for event streaming, PostgreSQL for data storage, and APIs for querying.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Confluent

AUGUST 29, 2019

We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Kafka already allows you to look at data as streams or tables; graphs are a third option, a more natural representation with a lot of grounding in theory for some use cases. 8, and so on. Here we go!

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Kafka Process Algorithm Cloud 55

Lyft Engineering

OCTOBER 3, 2023

For example, we can almost instantly validate that each record is well-formed and complete during event generation. Our Analytic Event Lifecycle below demonstrates the workflow of how much of our data gets to Hive. We log these events asynchronously at the order of millions per second.

Big Data 85

Big Data Metadata Data Warehouse Data 85

Precisely

JANUARY 25, 2024

To avoid burdening mainframe databases with constant I/O instructions and acknowledgments and prevent latency issues, best practices call for the use of event streaming platforms like Kafka, Amazon Kinesis, Rabbit MQ, or others. Real-time or near real-time replication is most common. Best Practice 2. Best Practice 3. Best Practice 5.

Metadata 69

Metadata Relational Database Data Governance Government 69

Rockset

SEPTEMBER 26, 2023

As smart as ChatGPT appears to be, it can’t summarize current events accurately if it was last trained a year ago and not told what’s happening now. Models may need to know about events, computed metrics, and embeddings based on locality.

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Metadata Kafka Cloud Database 64

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Netflix Tech

SEPTEMBER 29, 2022

Timestone clients can create queues, enqueue messages with user-defined deadlines and metadata, then dequeue these messages in an earliest-deadline-first (EDF) fashion. messages that belong to queue X and have metadata Y”) is also supported. Allow for dequeueing and queue depth querying using filters (metadata key-value pairs) 4.

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Systems Metadata Media Kafka 87

Cloudera

MARCH 14, 2023

When a draft is ready to be deployed in production, it is published to the Catalog, and can be productionalized with serverless DataFlow Functions for event-driven, micro-bursty use cases or auto-scaling DataFlow Deployments for low latency, high throughput use cases. You want to see how to get data from Kafka and write it to Iceberg?

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Data Pipeline Designing Kafka Metadata 82

Christophe Blefari

DECEMBER 9, 2022

It happens for instance when you have 2 producers of the same event but they are not using the same type for a column. Using server sent events to simplify real-time streaming at scale — Interesting discussion about concepts around real-time communication for apps. in Terraform) but for data.

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SQL Data Data Science Metadata 130