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While the importance of data is now undeniable, companies have struggled to get value from their investments in massive storage infrastructures. Analytical tools that address these super large data sets have been too complicated, unwieldy, and slow, forcing business users to analyse subsets of the data, creating information silos across an organisation. Today, as both the amount of data and its importance to businesses have grown, companies are hoping to abandon tools that create data silos because extracting subsets or cubing data is counter to the core value of big data itself - big data isn’t big if you are only looking at a fraction of it.
Looker and BigQuery are at the heart of this transition. BigQuery, unlike all other databases, never runs out of storage and never gets slow. Looker is the only tool that lets users harness the power of the underlying database with its unique in-database architecture. Looker offers fast time to value by operating on the data directly in BigQuery, never extracting subsets of data, making incredibly fast queries against all of the data available to everyone.
“We have over 3.5 petabytes of data and our teams need access to all of it to run our business. While Google BigQuery is cost efficient and incredibly fast, only a few people know how to use it. Looker’s data platform lets us connect our campaign managers to all the data in BigQuery in a structured way so we are able to continually optimise ad performance and sales,” said Daniel De Sybel, Chief Technology Officer at Infectious Media.
“Looker and BigQuery are compatible because both technologies are, at the core, architected to scale. Whether you have 250 gigabytes or petabytes of data, Looker makes data exploration easy and accessible to everyone within a company,” said Frank Bien, CEO of Looker.
