With the advent of the IoT era of the Internet of Things, the data stored by IOT devices for sensing and alarming is getting larger and larger, and useful value data needs to be analyzed by data analysts. Big data analysis has become a very important link. Of course, the open source trend that has started in the past two years has provided ample tools for big data analysis engineers. But this also increases the difficulty for developers to choose the right tools, especially for newcomers. The cost of learning, the diversification and complexity of the framework has become a big problem. For example, the combination of kafka, hdfs, spark, hive, etc. can produce the final analysis result. The complexity of manually integrating various open source frameworks, tools, libraries, and platforms is one of the common complaints of big data development and data analysts, and it is also their support for the simplification and unification of big data analysis platforms The primary reason.
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