Instaclustr

OCTOBER 13, 2021

In Part 6 and Part 7 of the pipeline series we took a different path in the pipe/tunnel and explored PostgreSQL and Apache Superset, mainly from a functional perspective—how can you get JSON data into PostgreSQL from Kafka Connect , and what does it look like in Superset. Scaling Kafka Connect, Elasticsearch, and PostgreSQL Pipelines.

Performance 83

Performance Metrics Systems Review Testing 83

Confluent

JUNE 18, 2019

For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr. Luckily, this task looks a lot like the way we tackle problems that arise when connecting data. Building an indexing pipeline at scale with Kafka Connect.

Scalability 96

Scalability Architecture Machine Learning Artificial Inteligence 96

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Some Kafka and Rockset users have also built real-time e-commerce applications , for example, using Rockset’s Java, Node.js

Analytics 21

Analytics Serverless Blockchain Microservices 21

Instaclustr

JULY 22, 2021

Having explored one fork in the path (Elasticsearch and Kibana) in the previous pipeline blog series ( here is part 5 ), in this blog we backtrack to the junction to explore the alternative path ( PostgreSQL and Apache Superset). The first thing is to decide how to connect to it for testing. Step 2: Kafka and Kafka Connect Clusters.

Open Source 92

Open Source Data AWS Software Review 92

Bernd Rucker

NOVEMBER 18, 2019

How and why to bring workflow to Apache Kafka In the last year I had a lot of contact with the community around Kafka and Confluent (the company behind Apache Kafka)?—?a For example, at Kafka Summit New York City earlier this year, I was impressed how many big banks attended, that currently modernize their architecture.

Microservices 8

Microservices Architecture Scalability Course 8

Netflix Tech

APRIL 12, 2022

GraphQL federation enables domain teams to independently build and operate their own Domain Graph Services (DGS) and, at the same time, connect their domain with other domains in a unified GraphQL schema exposed by a federated gateway. most teams produce them using Netflix’s CDC connectors ?—?however,

Engineering 105

Engineering Architecture Data Film 105

Altexsoft

JANUARY 22, 2020

Apache instruments: Kafka, Spark, Storm, and Flink. Originally developed by LinkedIn as a messaging queue application, Apache Kafka been open-sourced and donated to Apache in 2011. After that, Kafka evolved into an open-source data-streaming platform. The data ingestion is done via Apache Kafka. Amazon Kinesis.

Analytics 20

Analytics Data IoT Analysis 20

Instaclustr

AUGUST 11, 2021

We introduced the Debezium architecture and its use of Kafka Connect and explored how the Debezium Cassandra Connector (on the source side of the CDC pipeline) emits change events to Kafka for different database operations. How Does a Kafka Connect Sink Connector Process the Debezium Change Data?

Data 68

Data Systems Review Scalability Off-The-Shelf 68

Gorilla Logic

NOVEMBER 6, 2019

Within this article I will discuss the benefits of using Kafka Connect for complex data migrations such as these. These are very good reasons to consider Kafka, one of the current, coolest ways to stream data among systems or applications. . One of the main advantages of Kafka Connect is the simplicity.

Data 51

Data How To Lambda AWS 51

Confluent

AUGUST 31, 2021

Today, as part of our expanded partnership with Elastic, we are announcing an update to the fully managed Elasticsearch Sink Connector in Confluent Cloud. This update allows you to take […].

Data 120

Data Cloud 120

Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. This is when CloudBank selected Apache Kafka as technology enabler for their needs. The first release of Genesis was based on Apache Kafka 2.0 Journey from mainframe to cloud.

Cloud 88

Cloud Fractional CTO Software Review Banking 88

Netflix Tech

DECEMBER 17, 2019

CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional techniques like dual-writes and distributed transactions [3][4]. We provide this via dumps from the source database. Minimizing database impact.

Data 79

Data Windows Open Source Weak Development Team 79

Netflix Tech

DECEMBER 17, 2019

CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional techniques like dual-writes and distributed transactions [3][4]. We provide this via dumps from the source database. Minimizing database impact.

Data 84

Data Windows Open Source Weak Development Team 84

Confluent

AUGUST 15, 2019

With the release of Apache Kafka ® 2.3 came several substantial improvements to the already awesome Kafka Connect. Not sure what Kafka Connect is or need convincing of its awesomeness? Didn’t realise that it’s part of Apache Kafka and solves all your streaming integration needs? and Confluent Platform 5.3

Software Review 21

Software Review System Architecture Systems Review Data 21

Confluent

OCTOBER 23, 2019

If you’ve worked with the Apache Kafka ® and Confluent ecosystem before, chances are you’ve used a Kafka Connect connector to stream data into Kafka or stream data out of it. While there is an ever-growing list of connectors available—whether Confluent or community supported?you What is Kafka Connect?

Groups 15

Groups Examples Storage Data 15

Confluent

AUGUST 19, 2019

When it comes to writing a connector, there are two things you need to know how to do: how to write the code itself, and helping the world know about your new connector. It points to best practices for anyone writing Kafka Connect connectors. It points to best practices for anyone writing Kafka Connect connectors.

Programming 15

Programming Software Review Technical Review Systems Review 15

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers. Ingesting the data.

Data 19

Data Training Analytics Storage 19

Bernd Rucker

APRIL 6, 2020

So you need to go via a well-defined API, which is most often either REST or Messaging (but could also mean Kafka, gRPC, SOAP or similar). But if my consulting past teaches me just one thing then that this does not need to stop me from answering ;-) Let’s assume this platform is what I know as Apache Kafka. Yes, this is possible.

Microservices 52

Microservices Architecture Technical Review Engineering 52

Confluent

MAY 9, 2019

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Building the KPay payment system.

Microservices 93

Microservices Metrics Systems Review Architecture 93