Web Reference: Mar 18, 2016 · In this Scala Notebook, I show how to process IoT Device JSON structured data using Apache Spark on a Databricks Community Edition. I use both the DataFrame... Metadata ultimately enables semi-structured data to be better cataloged, searched and analyzed than unstructured data. Examples of semi-structured data include JavaScript Object Notation (JSON), comma-separated values (CSV) and eXtensible Markup Language (XML) files. Mar 28, 2016 · With DataFrames (introduced in 1.3) and Datasets (previewed in 1.6), in this notebook I use both sets of APIs to show how you can quickly process structured data (JSON) with an inherent and inferred schema, intuitively compose relational expressions, and finally issue Spark SQL queries against a table.
YouTube Excerpt: In this Scala Notebook, I show how to
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