Looker makes Google BigQuery available across the enterprise
Whilst most organizations recognize the importance of big data, the tools needed to obtain value from it are often complex and unweildy.
To make it easy for companies to build an organization-wide data analytics platform, business analytics specialist Looker is launching Looker Blocks for the Google BigQuery cloud analytics service.
BigQuery, unlike other databases, never runs out of storage and never gets slow, Looker claims its offering is the only tool that lets users harness the power of the underlying database with its unique in-database architecture. Looker operates on the data directly in BigQuery, never extracting subsets of data, making for incredibly fast queries against all of the data available to everyone.
"Looker and BigQuery are compatible because both technologies are, at the core, architected to scale. Whether you have 250GB or Petabytes of data, Looker makes data exploration easy and accessible to everyone at a company." says Frank Bien, CEO of Looker. "We aren't just a visualization tool that only analyzes subsets of the data, we are a reliable data platform for organization-wide analytics and business metrics".
Specific Looker Blocks and additional features to connect with the Google Cloud include Table Date Range Analytics which makes BigQuery's unique approach to data partitioning seamless for end users and optimizes query performance, making it easy to understand event data over time, and gain insight into every aspect of consumer behavior.
A Query Size Estimator lets data analysts determine the size of a query directly within Looker’s data platform -- before it's run -- giving data analysts greater insight for database management. The Google Analytics Premium Looker Block comes pre-built with a full suite of web analytics metrics such as funnels, bounce rates, and attribution analysis. Once up and running with the GA Premium Block, users can then layer on additional custom analysis to understand the metrics that drive their business.
More information on using Looker with Google BigQuery can be found on the company's website.
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