Data Engineering Podcast

MARCH 2, 2020

The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing. Developers can work with the SQL constructs that they are familiar with while automatically getting the durability and reliability that Kafka offers. How is ksqlDB architected?

Kafka 100

Kafka Process PostgreSQL MySQL 100

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

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. Note: When executing./gradlew

Kafka 89

Kafka Java Bytes SQL 89

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. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. Here, I’m going to dig into one of the options available—the JDBC connector for Kafka Connect. Introduction.

Kafka 90

Kafka MySQL Bytes Java 90

Pinterest Engineering

NOVEMBER 7, 2023

A central component of data ingestion infrastructure at Pinterest is our PubSub stack, and the Logging Platform team currently runs deployments of Apache Kafka and MemQ. Given that around 50% of Java clients at Pinterest are on Flink, PSC integration with Flink was key to achieving our platform goals of fully migrating Java clients to PSC.

Kafka 110

Kafka Java Software Engineering Software Engineer 110

ProjectPro

JUNE 18, 2021

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? Which has a better future: Python or Java in 2021? This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021.

Java 52

Java Data Science Python Programming Language 52

Cloudera

DECEMBER 2, 2020

This is the first installment in a short series of blog posts about security in Apache Kafka. Secured Apache Kafka clusters can be configured to enforce authentication using different methods, including the following: SSL – TLS client authentication. We use the kafka-console-consumer for all the examples below.

Kafka 69

Kafka Java Big Data Ecosystem Cloud 69

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

NOVEMBER 29, 2022

Apache Kafka’s Streams API embeds Machine Learning into any app or microservice (Java, Docker, Kubernetes, etc.) to add business value.

Machine Learning 145

Machine Learning Kafka Java Building 145

Rockset

AUGUST 16, 2022

In either case, both Amazon Kinesis and Apache Kafka can help but which one is the right fit for you and your goals. Real quick disclaimer, I currently work at Rockset but previously worked at Confluent, a company known for building Kafka based platforms and cloud services. Let’s find out!

Kafka 52

Kafka AWS Cloud Java 52

Confluent

MARCH 12, 2019

On the heels of part one in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support , here in part two we’ll focus on another project that enhances the developer experience when building streaming applications on Kafka: Spring Cloud Stream. What is Spring Cloud Stream?

Kafka 111

Kafka Cloud Programming Coding 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

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

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Kafka Designing Java Coding 106

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. Testing the Kafka Connect Neo4j Sink. curl -X POST [link]. jar -f AVRO -e 100000.

Kafka 88

Kafka Java Programming Language Data Pipeline 88

Data Engineering Weekly

JULY 28, 2024

JSON workflow definition gives flexibility to build DSL on higher-level languages like Python & Java. link] Uber: Introduction to Kafka Tiered Storage at Uber The effectiveness of Kafka Tiered-Storage is a widely discussed topic. A key highlight for me is the following features from Maestro. Pipeline breakpoint feature.

Data Engineer 109

Data Engineer Data Engineering Engineering Database-centric 109

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

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 article describes how to instrument Kafka-based applications with distributed tracing capabilities in order to make dataflows between event-based components more visible.

Kafka 111

Kafka Transportation Metadata Consulting 111

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

APRIL 10, 2019

Previously in 3 Ways to Prepare for Disaster Recovery in Multi-Datacenter Apache Kafka Deployments , we provided resources for multi-datacenter designs, centralized schema management, prevention of cyclic repetition of messages, and automatic consumer offset translation to automatically resume applications.

Kafka 87

Kafka Java Metadata Cloud 87

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

Cloudera

FEBRUARY 2, 2021

In the previous posts in this series, we have discussed Kerberos , LDAP and PAM authentication for Kafka. In this post we will look into how to configure a Kafka cluster and client to use a TLS client authentication. TLS is assumed to be enabled for the Apache Kafka cluster, as it should be for every secure cluster.

Kafka 78

Kafka Certification Java Government 78

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

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

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

Confluent

JUNE 11, 2019

Here in part 4 of the Spring for Apache Kafka Deep Dive blog series, we will cover: Common event streaming topology patterns supported in Spring Cloud Data Flow. Create and manage event streaming pipelines, including a Kafka Streams application using Spring Cloud Data Flow. java -jar spring-cloud-dataflow-shell-2.1.0.RELEASE.jar.

Kafka 86

Kafka Cloud Java MongoDB 86

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

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

AUGUST 3, 2023

Java and non-Java producers use different partitioners by default and that can lead to mismatches and data inconsistencies when developing streaming applications. Learn how to address this in Apache Kafka.

Java 52

Java Kafka Data 52

Christophe Blefari

MARCH 15, 2024

Obviously Benoit prefers Kestra, at the expense of writing YAML and running a Java application. Unlocking Kafka's potential: tackling tail latency with eBPF. New Apache Arrow engines — Arrow has become one of the most used library when it comes to built in-memory engines.

Metadata 272

Metadata Datasets Data Software Engineering 272

Knowledge Hut

MAY 20, 2024

Apache Kafka Built and maintained by LinkedIn, Apache Kafka is a distributed streaming platform. Apache Kafka allows the user to publish and subscribe streams of data, just like a messaging system. Kafka is responsible for handling hundred of megabytes of read-write traffic per second from thousand of clients.

Scala 52

Scala Technology Kafka Hadoop 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

Zalando Engineering

JUNE 21, 2016

Java programming roles need to cover a lot of ground when it comes to knowledge and processes. We’ve put together a list of essential points that developers should be familiar with when applying for a Java development position. You’ll want to use functional idioms, but don’t overuse them: Java is not a functional language.

Java 40

Java NoSQL Programming Language Kafka 40

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

Christophe Blefari

JUNE 21, 2024

you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with Accordingly to the press Snowflake and Confluent (Kafka) were also trying to buy Tabular. Wait, Iceberg is written in Java, and honestly, PyIceberg is lagging significantly behind the Java version. Databricks bought Tabular for $1b.

Metadata 147

Metadata Data Warehouse BI Scala 147

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 90

Process Kafka Scala SQL 90

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 Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

LinkedIn Engineering

OCTOBER 19, 2023

In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure. To transition from batch-oriented processing and respond to Kafka events within minutes or seconds, they built an in-house distributed event streaming framework, Apache Samza.

Process 119

Process Lambda Architecture Kafka Machine Learning 119