Confluent

MAY 14, 2019

We’re grateful that the Apache Kafka ® and Confluent communities are composed of hundreds of thousands of people all over the world who are constantly doing all of these things. A Confluent Community Catalyst is a person who invests their time and energy relentlessly in the Apache Kafka and Confluent communities. You know things.

Programming 83

Programming Kafka Education Coding 83

Christophe Blefari

JANUARY 7, 2023

The blog crossed the 2000 members mark (❤️) and I won the best data science newsletter award. They acquired Tableau in 2019 and analysts are saying that Tableau ex-employees are more often impacted by the lay-off. They are respectively the home companies of Kafka and Flink.

Data Science 130

Data Science Data BI Kafka 130

Big Data Tools

OCTOBER 5, 2021

Kafka 3.0.0 – The Apache Software Foundation needed less than one month to go from Kafka version 3.0.0-rc0 Add Broker Count Metric to Kafka – I never thought about it, but here’s a funny observation: if a Kafka broker is alive, this does not automatically mean that it’s healthy and fully functional.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

Kafka 3.0.0 – The Apache Software Foundation needed less than one month to go from Kafka version 3.0.0-rc0 Add Broker Count Metric to Kafka – I never thought about it, but here’s a funny observation: if a Kafka broker is alive, this does not automatically mean that it’s healthy and fully functional.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Cloudera

JULY 10, 2019

In this blog post, we are sharing our new open source licensing model, which aligns the licensing models previously used by each of Hortonworks and Cloudera and also introduces some new changes. Starting in September 2019, we’ll roll out our updated subscription agreement and software distribution model. Open ecosystem.

Consulting 105

Consulting Kafka Project Data Science 105

Netflix Tech

OCTOBER 15, 2019

CDC (Change-Data-Capture) events are sent by the Delta-Connector to a Keystone Kafka topic. Delta-Connector offers multiple advanced features such as: Ability to write into custom outputs beyond Kafka. We will cover the Delta-Connector in more detail in upcoming blog posts. Some broker configuration looks like below.

Transportation 77

Transportation MySQL Kafka Data 77

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. Data Hub – has expanded to support all stages of the data lifecycle: Collect – Flow Management (Apache NiFi), Streams Management (Apache Kafka) and Streaming Analytics (Apache Flink).

Cloud 92

Cloud Data Warehouse AWS Machine Learning 92

Knowledge Hut

MARCH 28, 2024

In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. With an amazing growth rate of 11% from 2019 to 2029, data engineers are in rising demand now and in the future as well. Education & Skills Required Using technologies such as Hadoop, Kafka, and Spark.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Rockset

MAY 17, 2019

We even open-sourced the code and wrote a detailed blog post about how we built our serverless analytics app on clickstream data , because that's what we love. Since the creation of the Binary Survey in February 2019, we've heard from more than 2,500 developers on where they stand on these issues. Why are we going back to the future?

NoSQL 52

NoSQL SQL Kafka Data Pipeline 52

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 ®. The pipe symbol | (i.e.,

Kafka 94

Kafka Cloud Data Pipeline PostgreSQL 94

Databand.ai

DECEMBER 13, 2022

Deepak regularly shares blog content and similar advice on LinkedIn. She also runs dutchengineer.org, which features a blog and newsletter full of tips for landing your dream job in data science, and offers digital courses and one-on-one mentoring for data scientists and data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Confluent

AUGUST 27, 2019

We are excited to announce the release of Confluent Cloud Schema Registry in general availability (GA), available in Confluent Cloud , our fully managed event streaming service based on Apache Kafka ®. Since it was launched in March 2019, a lot of customers have used Confluent Cloud Schema Registry to manage schemas for upstream applications.

Cloud 18

Cloud Kafka Electronics Metadata 18

Confluent

OCTOBER 8, 2019

Starting today, we’ll use the blog to occasionally do just that. They’re a Customer Project of the Year finalist for 2019’s Computing Technology Product Awards , and we couldn’t be more proud. As a company that can trace its roots back to 1602, reinventing the way it does business was a major undertaking.

Building 16

Building Kafka Data Warehouse Project 16

Rockset

JANUARY 16, 2019

This post offers a how-to guide to real-time analytics using SQL on streaming data with Apache Kafka and Rockset, using the Rockset Kafka Connector , a Kafka Connect Sink. Kafka is commonly used by many organizations to handle their real-time data streams. Otherwise, set up a Kafka cluster and verify it is running.

Kafka 40

Kafka SQL Python Data 40

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. We setup a Kafka producer to publish events to a Kafka cluster. What is RAG?

Cloud 64

Cloud Building Metadata Kafka 64

Rockset

NOVEMBER 6, 2019

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. Events are messages that are sent by a system to notify operators or other systems about a change in its domain.

Kafka 40

Kafka Data Lake SQL Hadoop 40

Knowledge Hut

DECEMBER 21, 2023

Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Knowledge of Hadoop, Spark, and Kafka. According to the 2020 Dice Tech Jobs Report, data engineering was the fastest-growing tech employment in 2019, with a 50% increase over the previous year, outpacing all other jobs for data scientists and developers.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

Rockset

MARCH 26, 2023

Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack. You can learn more about Confluent vs. Kafka over on Confluent’s site.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Lyft Engineering

SEPTEMBER 27, 2022

It produces high-quality signals and publishes them to Kafka topics. The second type of pipeline ingests Kafka topics and aggregates data into standard ML features. Relevant posts Check out our talk at Strata Data Conference 2019 ( Magic behind your Lyft ride prices ) to understand our thought process of choosing Apache Beam.

Kafka 52

Kafka Aggregated Data Machine Learning Architecture 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required. According to the 2020 U.S.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Cloudera

FEBRUARY 4, 2019

Stream Processing – Manage and process multiple streams of real-time data using the most advanced distributed stream processing system – Apache Kafka. CDF is the only streaming platform to offer a choice of 3 different streaming analytics solutions – Apache Storm, Kafka Streams and Apache Spark Streaming.

Data Ingestion 72

Data Ingestion Retail Kafka Data Lake 72

Rockset

FEBRUARY 14, 2020

I walk through an end to end integration of requesting data from the car, streaming it into a Kafka Topic and using Rockset to expose the data via its API to create real time visualisations in D3. Getting started with Kafka When starting with any new tool I find it best to look around and see the art of the possible.

Kafka 40

Kafka SQL Metadata Bytes 40

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Acquired by DataRobot June 2019). Lenses — The enterprise overlay for Apache Kafka R & Kubernetes. Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

Netflix Tech

DECEMBER 17, 2019

Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform. In our Delta blog post , we also described use cases beyond data synchronization, such as event processing. Supports any kind of output , so that the output can be a stream, datastore, or even an API. Writing events to any output.

MySQL 79

MySQL PostgreSQL Database Transportation 79

Netflix Tech

DECEMBER 17, 2019

Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform. In our Delta blog post , we also described use cases beyond data synchronization, such as event processing. Supports any kind of output , so that the output can be a stream, datastore, or even an API. Writing events to any output.

MySQL 84

MySQL PostgreSQL Database Transportation 84

Confluent

JULY 3, 2019

The idea in this blog post is to mix information coming from two distinct channels: the RSS feeds of sport-related newspapers and Twitter feeds of the FIFA Women’s World Cup. Ingesting Twitter data is very easy with Kafka Connect , a framework for connecting Kafka with external systems. Ingesting Twitter data. connector.state].

Data Analysis 21

Data Analysis Kafka Datasets Java 21

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

MAY 14, 2021

Text mining is an advanced analytical approach used to make sense of Big Data that comes in textual forms such as emails, tweets, researches, and blog posts. Apache Kafka. Kafka is a scalable, open-source, fault-tolerant software platform used to collect Big Data from multiple sources. That’s a lot of data to learn from.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Confluent

SEPTEMBER 6, 2019

In the above scenario, we would have to update all five services to connect to Apache Kafka ® , create the event in all the appropriate places inside each service, and then produce that event to a Kafka topic. The first point to consider is if connecting to Kafka from all services is even possible.

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Kafka MySQL Banking Java 22

ProjectPro

NOVEMBER 22, 2021

from 2019 to 2026, reaching $61.42 For input streams receiving data through networks such as Kafka, Flume, and others, the default persistence level setting is configured to achieve data replication on two nodes to achieve fault tolerance. Through the use of Streaming and Kafka , PySpark is also utilized to process real-time data.

Hadoop 52

Hadoop Python Datasets Metadata 52

Cloudera

MAY 25, 2021

I had introduced Cloudera SQL Stream Builder in my earlier blog pos t and how it augments the powerful stream processing capabilities of the Cloudera DataFlow (CDF) platform by accelerating time to market and democratizing access to real-time data using continuous SQL. For a live demo of this product, attend our webinar on 2nd June.

SQL 70

SQL Insurance Electronics Scala 70

Monte Carlo

SEPTEMBER 12, 2023

Founded in late 2019, the livestream shopping platform Whatnot has grown to become one of the largest online marketplaces for collectibles in the U.S. Learn more about data engineering at Whatnot on their blog. Amazon SageMaker powers their ML operations, with a variety of related solutions under evaluation.

Machine Learning 52

Machine Learning Data Entertainment SQL 52

Data Engineering Weekly

JULY 30, 2023

😄🎢🚀 High Scalability: Lessons Learned Running Presto At Meta Scale Presto, potentially ranking as one of the most influential open-source initiatives of the past ten years, stands shoulder to shoulder with the likes of Apache Kafka. Oh, just throw this data in S3 and possibly apply intelligent tiering.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52