A beginner’s guide to using Apache Hudi for data lake management.
<p>Data lakes have become an essential part of data management in today’s organisations. They provide a centralised repository that can store structured and unstructured data at any scale. However, managing data lakes can be a challenging task, especially for beginners. Apache Hudi is an open-source data lake management tool that can help simplify this process.</p>
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<p><em>Apache Hudi is like a big box where you can put all your toys, but instead of toys, it’s data. And it helps you keep your data organised so you can find the toy you want easily. It also helps you to keep adding new toys to the box without making a mess, and if you don’t like how your box looks, you can undo the changes and make it look the way it did before.</em></p>
<p><strong><em>For example</em></strong><em>, let’s say the toy robot is exploring a park and it sends information to the computer every time it finds a new flower. Hudi will take all the information the toy robot sends and organize it by the type of flower, the color, and the location it was found. So, when you want to know about all the yellow flowers the robot found in the park, you can easily find that information in the toy box because of the way Hudi organized it.</em></p>
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<p>In this beginner’s guide, we will go over the basics of Apache Hudi and how it can be used to manage data lakes.</p>
<h1>What is Apache Hudi?</h1>
<p>Apache Hudi (short for Hadoop Upserts and Incrementals) is a tool that allows for easy management of data lakes. It provides a unified approach to storing, managing, and querying data in data lakes. Hudi supports both batch and streaming data and enables incremental updates, rollbacks, and point-in-time queries.</p>
<h1>Why use Apache Hudi?</h1>
<p>Apache Hudi simplifies data lake management by providing a consistent way to store and query data. It also allows for incremental updates, which means that you can add new data to your data lake without having to completely rewrite the entire dataset. This can save a significant amount of time and resources.</p>
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