Posted by: Margaret Rouse
“When asked where Google fits into the pantheon of big cloud players, panel experts at Cloud Connect Santa Clara all agreed it could be a big player — if it wanted to.” — Mark Eisenberg
Today’s WhatIs.com Word of the Day is BigQuery, a cloud-based big data analytics service for processing very large read-only data sets. BigQuery was designed as a query tool for analyzing data on the order of billions of rows, using a SQL-like syntax. It runs on the Google Cloud Storage infrastructure and can be accessed with a REST-oriented application program interface (API). Continued…
The name Google was chosen for its resemblance to the number googol (a tribute to the vast amount of information in the world). If you were to write down the number googol, how many zeros would you use?
a. one hundred
b. one thousand
c. one million
Entry-level big data analysis with Google BigQuery
Hadoop can be intimidating, but for enterprises keen on SQL, Google BigQuery may be an easy choice for big data analysis.
Google’s big data infrastructure: Don’t try this at home
Jeromy Carriere spoke about Google’s big data infrastructure at a TDWI Boston chapter meeting. The work is impressive, but should it influence other data warehouse efforts?
Is Google mature enough for the enterprise?
Some experts say yes, but warn that IT will also need to work in a more Google-like way.