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

Google is abandoning its homegrown SQL variant as the recommended default query language for its BigQuery service in favor of a new standard-compliant dialect in the works for the managed data ...

Previously, customers had to use ETL tools such as Dataflow or self-developed Python tools to copy data from Bigtable into BigQuery; however, now, they can query data directly with BigQuery SQL.

This addition enables users to translate Dataprep jobs into SQL statements executed on BigQuery. Further, Dataprep enables BigQuery Upsert, which is the ability to update or insert data into BigQuery.

Once you get an SQL code, copy and paste it into the BigQuery SQL editor, but I bet the initial code you will get will have errors. For example, table column names may not match what is in your ...

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 ...

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.

Google describes BigQuery as a “fully managed, petabyte scale, low-cost analytics data warehouse”. The service is priced on a pay-as-you-use model, and Google believes the new SQL dialect will ...

Google has long made it possible for its users to run Hadoop -- a framework for storing and processing large amounts of data -- on its Cloud Platform. Until now, however, the only way to get in ...