When looking at Apache Spark from the perspective of a dataframe library, I guess Use CrateDB with DataFrame libraries is the right slot to add corresponding information, unless someone will share any objections about it.
The section should quickly outline/summarize the features, characteristics, and ingredients of Apache Spark, and its PySpark Python language binding.
The section should also absorb the link to this tutorial:
amotl
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6 months ago
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When looking at Apache Spark from the perspective of a dataframe library, I guess Use CrateDB with DataFrame libraries is the right slot to add corresponding information, unless someone will share any objections about it.
The section should quickly outline/summarize the features, characteristics, and ingredients of Apache Spark, and its PySpark Python language binding.
The section should also absorb the link to this tutorial:
References
/cc @karynzv, @marijaselakovic, @surister