From the course: Apache Iceberg for Data Analytics and Machine Learning
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Conclusion - Apache Tutorial
From the course: Apache Iceberg for Data Analytics and Machine Learning
Conclusion
- So just like that, we've done so much so fast. So you were able to log into Dremio to open up multiple files to create essentially data products and logical views on top of physical files. We turned them into Apache Iceberg tables by turning on Reflections, we're able to create multiple levels of logical views, which run super fast because of the way Dremio executes against them. We are able to connect that logical view, that data product to Power BI with one click, and we are able to connect our dataset to Jupyter Notebook to do advanced analytics and some basic machine learning right on top of that dataset. So remember, the power of the setup really lies not just in the individual components but how you can use them all together, the ecosystem of Apache Iceberg through Dremio allows you to really work with so many tools, whether you're a data analyst or a data scientist, or even an AI engineer. And so thank you so much for following along. Remember the complete code and…
Contents
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Why Apache Iceberg?3m 44s
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Setting up your project2m 19s
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Dremio login and overview2m 42s
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Adding sources and creating data products with SQL15m 23s
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Connecting to Power BI4m 5s
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Data analysis and machine learning with Jupyter Notebook18m 57s
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Conclusion1m 21s
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