ADVANCING CANCER TREATMENT WITH SELF-SERVICE DATA PREPARATION

Paxata

PrecisionProfile – a bioinformatics technology company – focuses on enabling oncologists and research scientists to rapidly analyze genomic profiles and create personalized treatment plans for cancer patients. Like most organizations, PrecisionProfile struggled with the most time-consuming part of every analytics exercise - combing, cleaning, and shaping data into actionable information. With self-service data preparation, they were able to design and develop a platform to accelerate data pipelines, enabling scientists to spend more time analyzing data and formulating how they can leverage it to save lives. View this webcast to learn: Empower researchers and oncologists to spend a fraction of their time restructuring data. Reduced cycle time of a genomic clinical study from 1-3 months to 2-8 hours.
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Spotlight

Arcadia Data provides a unified visual analytics and BI platform for big data. Because it runs natively on your Hadoop cluster, neither extracts nor additional hardware are required.

OTHER ON-DEMAND WEBINARS

Better Data Means Better Business Decisions

focusvision

We all strive for great data and insights to feed into decisions that propel business’ forward. In today’s fast-spinning world we need to do that ever more quickly and cost-effectively. But when moving quickly, the research participant and their needs can be forgotten, and this can have negative consequences for data quality.
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Creating Your Product Analytics Data Language

When your teams are building products for competitive markets and demanding customers, the right insights can make all the difference. Join us for our monthly Coffee Chat webinars to learn how you help your whole organization make better decisions, take faster action—and deliver the kind of experiences that drive revenue, loyalty, and lifetime value.
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Augmenting BI and Analytics in the Age of AI and Big Data

Arcadia Data

Artificial intelligence (AI) and big data technologies are driving major changes in how organizations think about business intelligence and analytics. Rather than be limited to querying and reporting on just what is in traditional BI systems or data warehouses, many business users and analysts want to tap a fuller range of data in systems running Apache Hadoop, Apache Spark, or on cloud data platforms and storage. At the same time, AI practices and technologies (in particular machine learning and natural language processing) are changing how users explore, analyze, and interact with data and the types of insights they can generate.
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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

Arcadia Data provides a unified visual analytics and BI platform for big data. Because it runs natively on your Hadoop cluster, neither extracts nor additional hardware are required.

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