TiVo: How to Scale New Products with a Data Lake on AWS and Qubole

Amazon Web Services

Big data technologies can be both complex and involve time consuming manual processes. Organizations that intelligently automate big data operations lower their costs, make their teams more productive, scale more efficiently, and reduce the risk of failure.
In our webinar, representatives from TiVo, creator of a digital recording platform for television content, will explain how they implemented a new big data and analytics platform that dynamically scales in response to changing demand. You’ll learn how the solution enables TiVo to easily orchestrate big data clusters using Amazon Elastic Cloud Compute (Amazon EC2) and Amazon EC2 Spot instances that read data from a data lake on Amazon Simple Storage Service (Amazon S3) and how this reduces the development cost and effort needed to support its network and advertiser users. TiVo will share lessons learned and best practices for quickly and affordably ingesting, processing, and making available for analysis terabytes of streaming and batch viewership data from millions of households.
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Spotlight

With a traditional data warehouse powering big data, it’s not unusual for data loads and complex queries to run for days, which hinders the analytical process. Plus, these data warehouse environments are often designed to analyze structured data only, and not valuable unstructured data generated from new external sources such as social media and mobile computing.

OTHER ON-DEMAND WEBINARS

Metadata Management for the Governance Minded

DATAVERSITY

Do you have data governance on your mind? Do you envision an environment where people are held formally accountable for the data they define, produce and use? Does metadata play a big role in that governed environment? Of course, it does. To manage any “thing” requires that you have quality information about that thing. Join Bob Seiner, of KIK Consulting and TDAN.com, with Gal Alon, Senior Director of Business Development for an industry leading metadata management automation software provider Octopai, as they discuss the who’s, what’s, why’s and how’s of automating and leveraging your metadata environment to successfully govern your organization’s data. Bob and Gal will spend the hour chatting about the role metadata management plays in data governance as well as discuss specific use cases to improve probability of Data Governance success.
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Webinar SAS Academy for Clinical Programming

SAS

You want to launch a career in the pharmaceutical industry? Then become a SAS® Certified Clinical Trials Programmer. This training program from SAS and OCS Life Sciences prepares you to work as a SAS® Certified Clinical Trials Programmer. The combination of coursework and hands-on learning helps you build a foundation of clinical research theory and data manipulation and analysis skills – which can open doors to new opportunities. Check out this On-Demand webinar and discover how SAS can help you accelerate development of life-changing therapies.
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Designing a Successful Governed Citizen Data Science Strategy

datarobot

To compete in today’s digital economy, enterprises require new ways to expand AI across their entire organization. Nearly all firms want to do more with data science, but they don’t know where to begin or how to properly empower citizen data scientists to avoid common AI gone wrong accidents. In this session, we will discuss how to approach your journey into citizen data science with existing analytics talent. Proven best practices and lessons learned from successful early adopters of augmented data science will be shared. We will walk through example initiative roadmaps, recommended staffing, upskilling, mentoring and ongoing governance.
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Data Science for Spreadsheet Users

DataCamp

In this webinar, DataCamp Account Executive Chris Cardillo will challenge anyone spending their days in and out of spreadsheets to pick up a coding language. He’ll cover the tangible benefits of incorporating coding into an everyday workflow, as well as examples of where coding enhances or replaces work done in spreadsheets. Finally, he’ll cover some R language equivalents for spreadsheet techniques, and where to get started when you’re ready to take the first step.
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Spotlight

With a traditional data warehouse powering big data, it’s not unusual for data loads and complex queries to run for days, which hinders the analytical process. Plus, these data warehouse environments are often designed to analyze structured data only, and not valuable unstructured data generated from new external sources such as social media and mobile computing.

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