System activity analytics is a feature that provides access to usage and performance information about the Looker instance via pre-built dashboards or ad-hoc queries. This brief details how Looker system activity analytics provides insights into Looker usage and performance. These insights help administrators grow their platform while encouraging use and improving overall efficiency.
With Looker, agencies can power digital transformation through data to help promote ethical governance, con...
With Looker, agencies can power digital transformation through data to help promote ethical governance, conscious design, and cultivate a learning culture.
Learn how LookML offers a new, efficient tool for making modeling faster and more reusable.
Access the ebook to learn how Looker's modern data modeling can help you identify problems, automate solutions, and future-proof your data strategy.
Analyze your analytics. This brief explains how system activity can be analyzed to simplify Looker administration, performance, and adoption.
For data scientists, the bottleneck to faster data modeling and model iteration can be how fast data can be accessed, transformed, and queried.
Learn about how GDPR’s regulations affect your business, how to create a data strategy to ensure compliance, and how Looker can help.
In this technical comparison guide we examine the most important criteria for evaluating embedded analytics platforms.
Complex data relationships deserve powerful visualizations. If the story your data is telling is best expressed through a chord, sankey, sunburst, or other diagram that isn’t a default option, we’re
You devote hours to crafting a great dashboard, only to be confronted later by the report that no one’s looking at it. Worse, they’re still coming to you with questions you already answered for them
Ever wonder how Looker uses Looker? Get a peek behind the curtain in this webinar series. Each lab session will focus on one of our favorite Looker features and highlight not just how to use it, but t
This paper summarizes the 5 Pillars of Analytics, and what's necessary to build a modern, scalable, mature analytics ecosystem in an organization.
In this presentation we will explore how innovative companies are modernizing their tech stack and workflows to allow data scientists to spend more of their time doing advanced and predictive analytic
In a typical data science workflow, the vast majority of effort is spent on the manual and repetitive work of preparing data and presenting results. Leave the data wrangling to Looker.
Looker speeds up the data cleansing and reporting steps of the traditional data science workflow. Anika explains the unique advantages of using Looker’s modern data platform.
Reap the rewards of agile warehousing through new-generation analytics and massively parallel processing (MPP) without capital expenditure.
Looker helps businesses get all the knowledge about what their data means out of analysts’ heads and into software, where everyone can access it.
All your data. Any SQL database. Custom business logic. A tool everyone can use.
Looker Product Managers Nate Pickens and Abby West took the stage at JOIN 2017 to walk through the data model and content features in Looker 5.
This informative tour of Powered by Looker’s features shows just how easy it is to integrate sophisticated analytics directly into your existing website or application.
Anika Kuesters Smith, Sales Engineering Manager at Looker, takes us through the process of connecting your data to Looker, generating a model, and exploring your data in Looker.