How Quotient's Data Leader Drove a BI on Hadoop Evolution

AtScale

As a leading site in the highly transactional online offers market, Quotient (aka Coupons.com) processes millions, and stores billions, of transactions daily. Immediate insight into what, when, and how those transactions take place is key to maintaining customer happiness and a competitive edge.How did Quotient innovate in the face of exploding data, while enhancing the value of existing investments in BI tools and skillsets? According to Eric Sit, Quotient’s Director of BI and Data Platforms, the key was starting a BI on Hadoop evolution.
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Spotlight

In this white paper, we’ll look at different approaches to multi-cloud, the major benefits and drawbacks, and how Snowplow Insights can help businesses take full advantage of multi-cloud strategies Why so many data teams are considering multi-cloud BigQuery vs Redshift, and the advantages of using both Technical considerations w


OTHER ON-DEMAND WEBINARS

“Under the Hood” - Ingesting and Analyzing Semi-Structured Data

HPE

Shine a light on semi-structured data with HPE Vertica Flex Zone. Learn how Flex Zone gives you the power to quickly and easily load and discover value in many forms of semi-structured and structured data.
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The Software-Defined Data Center: A Foundation for Digital Transformation

tierpoint

As reported in Forbes last year, 73% of companies are planning to move to a fully software-defined data center within two years. A software-defined data center is based on a virtualized environment of compute, storage, networking and security in conjunction with policy-based management and automation. The evolution from a traditional data center architecture to one that is software-defined can take months if not years but can yield immense benefits for the business. Join us for a discussion on the progress toward the fully software-defined data center, including benefits of infrastructure as code and overcoming challenges associated with traditional workflows.
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Emerging Design Patterns for Data Management

Teradata Aster

Organizations that seek to be data-driven are experiencing considerable change of late, because data itself, the management of data, and the ways businesses leverage data are all evolving at accelerated rates. These changes sound like problems, but they are actually opportunities for organizations that can embrace new big data, implement new design patterns and platforms for data, scale to greater volumes and processing loads, and react accordingly via analytics for organizational advantage.
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Visual Analytics - How to Deliver on Key Requirements – Webinars

Dundas Data Visualization Inc.

No matter what industry or department you work in, almost any BI and Analytics solution requires a similar set of key requirements at the core. Those requirements combine the capabilities of both business users and technical users that are critical to create a successful solution with higher adoption rates and greater impact on the business. As the key requirements and expectations changed dramatically with new modern self-service capabilities, many organizations are still struggling to deliver on all of those requirements at the pace the business requires. Often the failure to deliver is rooted in the fact that too many tools are required to deliver on all capabilities, making the process too complex and time consuming.
Watch Now

Spotlight

In this white paper, we’ll look at different approaches to multi-cloud, the major benefits and drawbacks, and how Snowplow Insights can help businesses take full advantage of multi-cloud strategies Why so many data teams are considering multi-cloud BigQuery vs Redshift, and the advantages of using both Technical considerations w

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