Posted on Aug 14
Apache Kafka: Detailed Overview for Work
Introduction
As the world keeps evolving to become increasingly digital, so are companies emerging to build live-streaming platforms that can transfer data in real-time and pseudo-real-time. Stream processing engines can perform actions such as analysis, transformation or summation of collected data.
People seek to be able to watch real-time videos, which is one reason why the community of developers have developed and maintained Apache Kafka for this purpose. Let’s look at Apache Kafka and its fundamentals in the next section of this article.
What is Apache Kafka and its Fundamentals?
Apache Kafka is an open-source stream processing platform used by different companies and organizations. To explain this in simpler terms, let’s create a scenario. If a group of friends come together to share their work (videos) so that their other friends can stream. They need to share it on a platform where it will be possible for their friends to watch and listen.
This is where Apache Kafka comes in. The group of friends need to publish their work on Apache Kafka so others can access it. Kafka then ensures that the work is properly saved and safely stored so that even if the author of one of the works exits the platform, their work is still intact and can be watched by other friends subscribed to it.
Apache Kafka can store a large network without cracking since the software is well-built to carry such a load. With this countless people can create, store and share on Apache Kafka most reliably.
Importance and Uses of Apache Kafka
Apache Kafka is important in the tech place as a result of the following factors;
- Scalability: Apache Kafka’s architectural nature allows it to add more nodes to its system to cope with more demands.
- High Throughput: Kafka’s built-up enables it to process millions of data without breaking down including large data.
- Real-time Data Processing: It helps build real-time data channels and for streaming applications.
- Integration: Apache Kafka is well-integrated with other technologies by Apache
- Open-Source: Kafka is open-source which means it can be publicly accessed, modified and distributed.
Resources to Learn Apache Kafka Skills
Apache Kafka can be learnt through different resources so you can rest assured that you can have this skill. Here are some of the resources where you can learn Apache Kafka skills;
- Short Course: You can take courses online to learn Apache Kafka skills such as courses on Udemy or Euderika.
- Projects: Another good way to learn the Apache Kafka skill is to get on projects even with little knowledge. An example is Apache Kafka projects on Github.
- Visual Lessons: You can get YouTube videos on Apache Kafka that will teach you the skill from scratch. Different videos will suit your level of expertise.
- Tutorials are also a great way to learn Apache Kafka skill. Check out this free tutorial from Class Central
Job Prospects for Apache Kafka Skills
It is expected that you want to earn with the skill that you have learnt so we put together a list of job prospects for you to check out.
Here is a list of remote jobs that require Apache Kafka skills so you can check them out. You don’t need to become frustrated while trying to get a remote job as long as you get good with the skill and show this to potential employers.
Remote Jobs for Apache Kafka
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Internet Software & Services Company
Senior Java Backend DeveloperAbout us Here, we are continuously building a fantastic team and would love for you to join us.
Aug 01
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IT / Telecommunication Services Company
Engineering Manager (EMEA)Location: This is a 100% remote role open to candidates residing in the EMEA region. Due to our comp
Jul 29
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Internet Software & Services Company
Data EngineerSummary Our and its sister projects reach billions of users monthly across 300+ languages and are po
Jul 15
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Internet Software & Services Company
Lead Engineer, CMS BuilderAbout Us We building the world’s leading all-in-one platform for online communities. We make it poss
Jul 08
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Internet Software & Services Company
Senior Data EngineerSenior Data EngineerWikipedia and its sister projects reach billions of users monthly across 300+ la
Jul 08
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