Mastering Hadoop, Part 3: Hadoop Ecosystem: Get the most out of your cluster

Author(s): Niklas Lang

Originally published on Towards AI.

Exploring the Hadoop ecosystem — key tools to maximize your cluster’s potential

As we have already seen with the basic components (Part 1, Part 2), the Hadoop ecosystem is constantly evolving and being optimized for new applications. As a result, various tools and technologies have developed over time that make Hadoop more powerful and even more widely applicable. As a result, it goes beyond the pure HDFS & MapReduce platform and offers, for example, SQL, as well as NoSQL queries or real-time streaming.

In this part, we explored the Hadoop ecosystem, highlighting key tools like Hive, Spark, and HBase, each designed to enhance Hadoop’s capabilities for various data processing tasks. From SQL-like queries with Hive to fast, in-memory processing with Spark, these components provide flexibility for big data applications. While Hadoop remains a powerful framework, alternatives such as cloud-native solutions and modern data warehouses are worth considering for different needs.

Read the full blog for free on Medium.

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Published via Towards AI