Introducing BigQuery ML for building predictive models with SQL

One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or in a big data environment such as Spark. But that takes some fairly technical programming and data science skills not often found among business analysts or SQL programmers. In addition, if you have to extract, transform, and load your datasets from your data warehouse to another data store for machine learning, you introduce delays in the process.

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