Visualizing Geospatial Data at Scale

Arcadiadata

Geospatial data is everywhere today. Your mapping capabilities need to handle the growing volumes of “big data” to deliver location-based insights at any level. Large-scale mapping use cases require a scalable and real-time visualization platform that enables self-service analysis. End users need a fast, interactive system that can immediately display any view of their data on demand.
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Spotlight

Television continues to evolve from pure consumptive linear viewing to web-like interactive experiences. Emerging new applications, such as multi-screen discovery, consumption, and network DVR, all allow and support user interaction. This is possible due to the evolution of TV application architectures from dedicated hardware-centric functionality to a combination of hardware appliances controlled by modular software services. Big Data technologies can support these rich, interactive TV experiences by collecting, storing, and analyzing federated events and creating usable information for end-consumers, operators, and programmers. This paper provides an application’s view into how Big Data enables insight from user behavior, network / appliance operations, and content analysis.

OTHER ON-DEMAND WEBINARS

Data-driven control: Access Management as a Facilitator of Business Value

There’s a pervasive perception held by many organizations that data governance or effective access management for data somehow reduces the ability to leverage and derive insight from information. This could not be further from the truth. Full control of data is necessary for both data protection and data leverage. In this webina
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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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Modernize Your Data Architecture to Deliver Oracle as a Service

robin.io

The migration to cloud-based data architectures continues at a rapid pace, including databases and data management. Oracle databases are part of this trend, and during this webinar you will learn how to automate the provisioning and management of Oracle databases so that you can deliver an “as-a-service” experience with 1-click simplicity. Experts will walk you through the process of
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Strategies for Fitting a Data Lake into a Modern Data Architecture

McKnight Consulting Group

Whether to take data ingestion cycles off the ETL tool and the Data Warehouse or to facilitate competitive Data Science and building algorithms in the organization, the Data Lake a place for unmodeled and vast data will be provisioned widely in 2019. Though it doesn’t have to be complicated, the Data Lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the Data Swamp, but not the Data Lake! The tool ecosystem is building up around the Data Lake and soon many will have a robust Lake and Data Warehouse. We will discuss policy to keep them straight, send “horses to courses,” and keep up users’ confidence in the Data Platforms.
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Spotlight

Television continues to evolve from pure consumptive linear viewing to web-like interactive experiences. Emerging new applications, such as multi-screen discovery, consumption, and network DVR, all allow and support user interaction. This is possible due to the evolution of TV application architectures from dedicated hardware-centric functionality to a combination of hardware appliances controlled by modular software services. Big Data technologies can support these rich, interactive TV experiences by collecting, storing, and analyzing federated events and creating usable information for end-consumers, operators, and programmers. This paper provides an application’s view into how Big Data enables insight from user behavior, network / appliance operations, and content analysis.

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