You’d probably remember how big of a player was Yahoo in the big tech scene in the late ’90s to the 2000s, and I surely still remember how their CEO rejected the buyout offer by Microsoft for $44.6 billion in 2008 – ouch!
Now Yahoo is part of Verizon Media. They have just finished a massive migration of Hadoop and Enterprise Data Warehouse (EDW) workloads to Google Cloud’s BigQuery and Looker, becoming a big part of their MAW – Media Analytics Warehouse.
I don’t need to vouch for the power and flexibility of BigQuery as a tool, is well known: analytics real-time or batch, warehouse or even as an AI tool, without having to move out the data from processing and just using SQL.
I’ve been using it lately in that capacity – BigQuery ML – and it’s really easy, even from Jupyter Notebooks:
%load_ext google.cloud.bigquery
%%bigquery
SELECT source_year AS year,
COUNT(is_male) AS birth_count
FROM `bigquery-public-data.samples.natality`
GROUP BY year
ORDER BY year DESC LIMIT 15
Read more in the following article about the Verizon’s migration:
