Hello! Tell us a little about yourself...

First Name

Last Name

Company

Number of Employees

By registering, you have read and agree to the Terms of Use and Privacy Policy.

Thank you!

Error - something went wrong!

Using AWS Redshift for Advanced Product Analytics at Yahoo!

Listen to this webinar and learn how Yahoo! has harnessed the power of big data to perform advanced user retention and cohort analysis. See how Yahoo! deploys AWS Redshift for their analytics database, piping in data from on-premise Hadoop in order to analyze all their data with Looker.

Get more on:

Options for processing, analyzing, and visualizing data in Amazon Redshift
Extending the Amazon Redshift SQL query capabilities
Performing advanced user retention and cohort analysis

Previous Flipbook

5 Areas to Explore for Maximizing Business Growth

This paper describes five areas where startup companies have put data to work to grow their businesses.

Next Video

Driving Behavior with Data at HubSpot

Kevin will discuss HubSpot's strategy for creating a company where decisions and behavior are driven by mea...

Using AWS Redshift for Advanced Product Analytics at Yahoo!

Previous Flipbook

Next Video

Other content in this Stream

Why does Looker have a ‘Dept. of Customer Love’ (DCL) rather than mere Customer Support? William Lan, DCL Team Lead in Dublin explains the ethos and methods behind Looker’s unique ‘people first’ appro

Heads of Customer Support and Customer Experience have more data about their customers than ever before, but their customer’s experience is broken. Connecting customer information to your operational

In an economy where customer attention is fleeting, expectations are constantly changing, and competitors are just a click or a tap away, understanding customer behavior is critical. Before you can di

Today, Looker announces Looker Data Apps. What you say? The Looker Data Apps on top of the Looker Data Platform inject data into the fabric of your company - every moment, every conversation, every de

There are many considerations when it comes to embedding data and analytics. Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets.

Understanding whether your customers are happy, about to cancel their contract, or somewhere in between is critical to the success of every business. While crucial, this can be an extremely difficult

Understanding your customer data and creating actionable insights

This paper describes five areas where startup companies have put data to work to grow their businesses.

Kevin will discuss HubSpot's strategy for creating a company where decisions and behavior are driven by meaningful data. The success of an operation like this requires making the right data available

To accurately measure your users, you have to tie identities across anonymous and logged-in sessions, account for when people change their email addresses, and plan for cross-platform interactions.

Understanding customer lifetime value (LTV) is one of the most complex and important analyses a business can tackle. Every part of your organization affects the outcome of the calculation.