Looker for Amazon Web Services

Learn how Amazon Redshift and Looker can help your company get real-time insights from all of your data with a simplified infrastructure and rapid scalability.

  • Using Redshift and Looker to Create a Data Culture at Casper57:55

    Using Redshift and Looker to Create a Data Culture at Casper

    Provide your employees with the ability to answer and ask their own questions using Looker on Amazon Redshift. Learn about the state of the data landscape and how companies are using their big data to

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  • See Looker on Redshift in action.

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  • How ISCS Plugged Looker into Its Flagship Product to Meet Customer Needs

    How ISCS Plugged Looker into Its Flagship Product to Meet Customer Needs

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  • Driving Data Democracy: Hadoop & Amazon Redshift1:03:24

    Driving Data Democracy: Hadoop & Amazon Redshift

    The Hadoop ecosystem has improved markedly over the past few years. Moreover, MPP databases seem to slot in nicely as complementary tools to map-reduce batch jobs, in that they allow analytics teams t

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  • Data Analytics on AWS Redshift Database

    Data Analytics on AWS Redshift Database

    AWS continues to set the standard for delivering infrastructure services in the cloud. This paper describes what you get when you add Looker for data analytics to the mix.

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  • Analytics on Amazon Redshift: Technical Overview

    Analytics on Amazon Redshift: Technical Overview

    In the post-cloud era, the traditional data warehousing model of moving “all data from everywhere” into an on-premises megaserver for advanced analytics breaks down

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  • Essential Guide to Amazon Redshift for Analytics

    Essential Guide to Amazon Redshift for Analytics

    Amazon Redshift is a fully managed, high-performance MPP data warehouse solution in the cloud that can scale up to a petabyte or more, while costing less than legacy data warehouses.

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  • Learn how Looker and AWS work together.

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  • Rapid Prototyping with Looker at Backstage & Sonicbids11:23

    Rapid Prototyping with Looker at Backstage & Sonicbids

    Mike Mepham speaks on the organizations use of Looker PDT's to create a self-sufficient data architecture. He shares how they used Looker, Redshift and Elasticsearch

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  • Driving Behavior with Data at HubSpot8:12

    Driving Behavior with Data at HubSpot

    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

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  • Centralizing and Democratizing Data at Market Invoice17:38

    Centralizing and Democratizing Data at Market Invoice

    In this presentation, Jeevan Param, head of data strategy at Market Invoice, will talk about how his team of 2 people democratized data and enabled the organization to be fully data-driven.

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  • From ETL to Insights - Centralizing Data at DonorsChoose.org17:35

    From ETL to Insights - Centralizing Data at DonorsChoose.org

    Vlad Dubovskiy, Data Scientist at DonorsChoose.org, talks about how DonorsChoose decentralize their tools and centralize their data. Some other topics covered are on how DonorsChoose.org offloads ETL

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  • Operations & Predictive Analytics: Using Looker for Everything at LendingHome12:43

    Operations & Predictive Analytics: Using Looker for Everything at LendingHome

    Connecting borrowers to investors, LendingHome is the world’s most advanced mortgage marketplace. In this presentation, Justin Palmer, Director of Data at LendingHome, talks about how the company uses

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