Master Big Data Analytics
Zoomdata Master Class Makes It Easy To Get A Big Data Education
Raise Your Big Data IQ with Zoomdata Master Class
If you want to increase your big data smarts in topics like streaming analytics, IoT analytics, architecture and deployment, security, and more, Zoomdata’s free Master Classes are just the ticket. All the classes are made up of short videos so you can binge watch your way to a higher big data IQ.
Class Library
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Modern Data Sources and Characteristics of a Modern BI Platform
In this class, we examine modern data platforms such as Hadoop, and NoSQL, search enabled and MPP/columnar databases, which enable storing and analyzing data from a variety of sources.
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High Volume Analytics
In this class, we discuss the challenge analytics solutions face in visualizing, analyzing, and interacting with billions of rows of data at the speed of thought to get actionable insights.
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Streaming Analytics and the Internet of Things
In this class, we explain how streaming analytics differ from traditional analytics on historical data. Companies are increasingly challenged because their traditional approaches to data visualization and analysis are insufficient.
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High Variety Analytics
In this class, we discuss analytics on multiple data sources and quantitative analytics on unstructured data. Companies are finding that traditional visualization and analytics approaches for these use cases are obsolete.
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Embedded Analytics
In this class, we explore embedded analytics -- analytic capabilities that seamlessly integrate into software applications to provide in-context reporting, visualization, discovery or exploration of data directly from within the application.
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Architecture and Deployment
This channel discusses architecture and deployment topics such as on-premise, cloud, and software-as-a-service (SaaS) deployments of analytics, and how to optimize performance and scalability.
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State of the Market
In this class, we discuss modern data platforms and modern business intelligence and the visualization tools used to access, analyze, and gain insights from high-volume, high-velocity and high-variety data.
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