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.

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Kafka MySQL Bytes Java 90

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.

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Kafka Cloud Data Pipeline PostgreSQL 95

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.

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Java Data Science Python Programming Language 52

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.

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Kafka Java Metadata Cloud 87

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?

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Kafka Cloud Programming Coding 111

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.

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Kafka Transportation Metadata Consulting 111

Confluent

MAY 2, 2019

When managing Apache Kafka ® clusters at scale, tasks that are simple on small clusters turn into significant burdens. In previous versions of Control Center, you could view and download broker configurations, which was good as far as it went. Relatedly, KIP-226 enabled dynamic broker reconfiguration since Apache Kafka 1.1.

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Kafka Management Food Consulting 89

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.

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Kafka Certification Java Government 78

Confluent

MAY 2, 2019

When managing Apache Kafka ® clusters at scale, tasks that are simple on small clusters turn into significant burdens. In previous versions of Control Center, you could view and download broker configurations, which was good as far as it went. Relatedly, KIP-226 enabled dynamic broker reconfiguration since Apache Kafka 1.1.

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.

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Kafka Cloud Java MongoDB 86

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

Confluent

JUNE 18, 2019

Distributed transactions are very hard to implement successfully, which is why we’ll introduce a log-inspired system such as Apache Kafka ®. Building an indexing pipeline at scale with Kafka Connect. Moving data into Apache Kafka with the JDBC connector. For this use case, we are going to use it as a source connector.

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Architecture Building Kafka Database-centric 97

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?

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Kafka Bytes Big Data Java 40

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

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Machine Learning Python Kafka Java 107

Confluent

APRIL 17, 2019

In particular, the management and monitoring capabilities that we added to Confluent Control Center have evolved it into an indispensable tool for anyone working with Apache Kafka ®. Part 2: Managing Kafka Configurations at Scale with Confluent Control Center. Download Confluent Platform version 5.2

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Kafka Management Java Building 40

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. gradlew composeUp. The KSQL pipeline flow.

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Kafka Management Bytes SQL 96

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. Download Best Practice 1. Download our free e-book, Best Practices for Mainframe Modernization.

Metadata 69

Metadata Relational Database Data Governance Government 69

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

Confluent

APRIL 17, 2019

In particular, the management and monitoring capabilities that we added to Confluent Control Center have evolved it into an indispensable tool for anyone working with Apache Kafka ®. Part 2: Managing Kafka Configurations at Scale with Confluent Control Center. Download Confluent Platform version 5.2

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Management Kafka Java Building 75

Cloudera

FEBRUARY 26, 2021

Download and use a sample application . You either clone this repository to your machine or download and use these sample applications. . Apache HBase (NoSQL), Java, Maven: Read-Write. Apache Phoenix (SQL), Java, Dropwizard: Stock ticker. Apache Phoenix (SQL), Java, Maven: Read-Write. openjdk". $ Password: **.

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Database Java NoSQL Programming Language 60

Big Data Tools

NOVEMBER 9, 2022

Many years ago, when Java seemed slow, and its JIT compiler was not as cool as it is today, some of the people working on the OSv operating system recognized that they could make many more optimizations in user space than they could in kernel space. ScyllaDB is interesting because it’s a drop-in replacement for Apache Cassandra.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 9, 2022

Many years ago, when Java seemed slow, and its JIT compiler was not as cool as it is today, some of the people working on the OSv operating system recognized that they could make many more optimizations in user space than they could in kernel space. ScyllaDB is interesting because it’s a drop-in replacement for Apache Cassandra.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Confluent

OCTOBER 24, 2019

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark , which you are welcome to read about in my previous blog post explaining the story behind this open source example. The schemas are also useful for generating specific Java classes. The bank application.

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Kafka Java Banking Bytes 18

Confluent

FEBRUARY 13, 2019

Consumers in this context are anything that requests data; they could be stream processors, Java or.NET applications or KSQL server nodes. There is no need for other frameworks to apply their “magic” on top of Apache Kafka ® but instead stay in the pure event-first paradigm. With Kafka you get event sourcing for free.

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Architecture Programming Kafka Database-centric 92

Towards Data Science

JANUARY 7, 2024

Integrations : Whylogs supports integrations with a variety of tools, frameworks and languages — Spark, Kafka, Pandas, MLFlow, GitHub actions, RAPIDS, Java, Docker, AWS S3 and more. GitHub - sarthak-sarbahi/whylogs-pyspark Start by downloading the sample data (CSV) from here. This is all we need to know about whylogs.

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Data Pipeline Hospitality Data Validation Datasets 76

Confluent

FEBRUARY 27, 2019

When it comes to the emerging serverless world, It makes sense to validate how Apache Kafka ® fits in considering that it is mission critical in 90 percent of companies. By persisting the streams in Kafka we then have a record of all system activity (a source of truth), and also a mechanism to drive reactions.

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Kafka AWS Architecture Cloud 109

Confluent

FEBRUARY 21, 2019

HELK is a free threat hunting platform built on various components including the Elastic stack, Apache Kafka ® and Apache Spark. WHERE PARENT_PROCESS_PATH LIKE '%WmiPrvSE.exe%'; The results of the KSQL query can be written to a Kafka topic, which in turn can drive real-time monitoring or alerting dashboards and applications.

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Process Kafka SQL Datasets 83

Confluent

OCTOBER 10, 2019

Apache Kafka ® and its surrounding ecosystem, which includes Kafka Connect, Kafka Streams, and KSQL, have become the technology of choice for integrating and processing these kinds of datasets. Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. Example: Severstal. High throughput.

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Kafka Google Cloud Architecture Machine Learning 20

ProjectPro

AUGUST 24, 2021

This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. Finally, the data is published and visualized on a Java-based custom Dashboard. This is called Hot Path.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. To simplify all of this, different providers have emerged to offer Apache Kafka as a managed service. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist.

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Kafka Management Cloud AWS 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. This article will cover the basic concepts and architecture of the Kafka Connect framework. What is Kafka Connect?

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Kafka Cloud Storage Cloud Database 15

Confluent

MAY 9, 2019

Yes, we can transact across partitions in Apache Kafka ® , and with traditional database transactions you get many “trust” semantics for free; however, they are pushed down into the database runtime. KPay leverages Kafka Streams and the various utilities it provides. They provide a guaranteed level of trust; they are simple.

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Kafka Pipeline-centric Architecture Database-centric 94

Confluent

SEPTEMBER 5, 2019

Following on from How to Work with Apache Kafka in Your Spring Boot Application , which shows how to get started with Spring Boot and Apache Kafka ® , here I will demonstrate how to enable usage of Confluent Schema Registry and Avro serialization format in your Spring Boot applications. Initial revision. Prerequisities. Avro SerDes.

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Kafka Java Food Cloud 20

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.

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Kafka Building Data Coding 19

AltexSoft

NOVEMBER 7, 2022

However, the platform is compatible with solutions supporting near real-time and real-time analytics — such as Apache Kafka or Apache Spark. And it copes with this task really well, being one of the most popular orchestration tools with 12 million downloads per month. The Good and the Bad of Java Development.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Confluent

APRIL 2, 2019

Includes free forever Confluent Platform on a single Apache Kafka ® broker, improved Control Center functionality at scale and hybrid cloud streaming. the event streaming platform built by the original creators of Apache Kafka. in order to bring our C/C++, Python, Go and.NET clients closer to parity with the Java client.

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Kafka Java Cloud Metadata 21

Confluent

JULY 3, 2019

Ingesting Twitter data is very easy with Kafka Connect , a framework for connecting Kafka with external systems. Within the pre-built connectors, we can find Kafka Connect Twitter ; all we need to do is install it using the Confluent Hub client. confluent-hub install jcustenborder/kafka-connect-twitter:latest. Daily Mail.

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Data Analysis Kafka Datasets Java 21