Google has rolled out a new beta of BigQuery, the data warehousing and analysis service available on Google Cloud Platform, which lets admins use standard SQL instead of one of its dialects.BigQue ...

Run SQL on BigQuery within R. If you’re comfortable writing SQL queries, you can also run SQL commands within R if you want to pull data from BigQuery as part of a larger R workflow.

BigQuery allows you to combine multiple dimensions for better insights Using SQL queries means you get a neat table. You don’t need to understand the ins and outs of SQL to make the best use of ...

One SQL-style statement and six functions have been added to BigQuery’s SQL dialect to support machine learning: the CREATE MODEL statement and the functions ML.EVALUATE, ML.ROC_CURVE, ML ...

BigQuery is one of the most underutilized tools in PPC.. While data professionals have been leveraging data warehousing and Structured Query Language (SQL) for years, many PPC specialists still ...

How to run SQL in BigQuery. In case you have millions of URLs, you may not be able to work in Google Sheets or CSV export because the data is too big. Plus, those apps have limitations on how many ...

Hasura today announced that it has successfully achieved Google Cloud Ready - BigQuery Designation, and Google Cloud Ready - Cloud SQL Designation. Go ...

Google BigQuery ETL is a cloud-based data warehouse that serves as an ETL solution through the help of SQL queries. In addition, users can gain analytical insights from the serverless product with ...

Google's Other Business Intelligence News: BigQuery SQL. This is not the only consolidation Google has announced. In recent months it combined two of its data platforms: BigQuery and Apache Spark.

BigQuery continuous queries (now generally available) allow SQL analysis of streaming data. New BigQuery multimodal tables (in preview) allow for unified storage and querying of varied data types.