Data-Driven
Cultures

Under Armour built the world's most comprehensive health and wellness application: the Connected Fitness Data Platform. It consists of event streaming pipelines and processing using big data technologies like Hive, Presto and Spark to derive the insights needed to keep their users fit and healthy. Discover their step-by-step process.

For years IT has been tasked to produce, gather, and store large volumes of internal and external data. We’re now engaged in developing the infrastructure to support analysis of that data. A cloud-based, self-service, big-data model can be the answer and provide numerous benefits and efficiencies. But with those benefits, there are cultural, organizational and architectural hurdles to clear. We will discuss the challenges we faced at Scripps Networks Interactive, and the successful team and architectural outcomes that emerged.

Talend provides the data agility businesses need to use the latest cloud technologies to act with insight across their organization and win in an economy being deeply transformed by exploding data volumes, technology innovation, and fundamental changes to the IT infrastructure. Join us to learn how Talend and Qubole together help companies’ business users execute data preparation workloads in the cloud at a fraction of the cost and resources.

Looker is the modern data platform that democratizes data analytics, creates meaningful insights, and powers critical business actions. The Looker platform allows you to analyze your data and act on it within a single interface, enabling both business users and analysts to add maximum value where it matters most. Stop jumping between tabs and tools – do it all in Looker.

We will look at how DevOps is making Data Science more mainstream with automation, release trains, agility and operational readiness. In this talk, we will look at the various tools and techniques in building a successful Data Science practice and how DevOps can be introduced to provide Continuous Integration, Delivery, and Deployment of Data Science Models.

This webinar is focused on: - Increasing collaborative friction between engineers, analysts, and business - Process-driven iteration i.e. balancing agility with discipline - Making the quantitative business case for moving from big bang to continuous enhancement (convincing your CFO/CIO to shift from CapEx to OpEx) - Case studies and outcomes from our clients

Qubole's CEO and CMO discuss Data Platforms 2017 highlights, favorite sessions, common themes, and future trends.