Keys to Effective Data Visualization

DATAVERSITY

Data visualization is central to big data analytics because the volumes of data involved are beyond the scale that can be effectively manually reviewed by humans. Data visualization provides techniques for quickly viewing, understanding, and identifying patterns in big data that can’t otherwise be reasonably absorbed by humans through detail inspection. Join our discussion and get insights on: Best practices in effective big data visualization. Transformations necessary to enable effective visualization. Visualizing patterns. Data discovery versus descriptive analytics visualization.
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Spotlight

Every day, the world creates 2.5 quintillion bytes of data. In fact, 90 percent of the data in the world today has been created in the last two years alone. While there is much talk about big data, it is not mere hype. Businesses are realizing tangible results from investments in big data analytics, and IBM’s big data platform is helping enterprises across all industries. IBM is unique in having developed an enterprise-class big data platform that allows you to address the full spectrum of big data business challenge.

OTHER ON-DEMAND WEBINARS

Adapting Your Data Science & Data Analyst Career

The explosion of data means that data scientists and analysts need to understand how to manage big data and how to use automation tools to help deal with the data overload. What do you need to do to prepare your career for this emerging reality?
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Choosing the Right Database for Time Series Data

MemSQL

In this webinar, MemSQL Product Marketing Manager Mike Boyarski describes the growth in popularity of time series data and talks about the best options for a time series database, including a live Q&A. You can view the webinar and download the slides here. Here at MemSQL, we’ve had a lot of interest in our blog posts on time series data and choosing a time series database, as well as our O’Reilly time series ebook download. However, this webinar does a particularly good job of explaining what you would want in a time series database, and how that fits with MemSQL. We encourage you to read this blog post, then view the webinar.
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Top 7 Capabilities for Next-Gen Master Data Management

Reltio

This session will discuss how the master data management platforms are evolving to meet needs of digital economy. A modern master data management platform incorporates graph technology, infuses insights from the data using advanced analytics and ML, and offer big data scale performance in the cloud. Join this webinar to learn about these and other critical capabilities that power connected customer experience, compliance, and business alignment.
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Modernizing the Legacy Data Warehouse – What, Why, and How

cloudera

The Eckerson Group's Dave Wells and Cloudera's Eva Nahiri share the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.
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Spotlight

Every day, the world creates 2.5 quintillion bytes of data. In fact, 90 percent of the data in the world today has been created in the last two years alone. While there is much talk about big data, it is not mere hype. Businesses are realizing tangible results from investments in big data analytics, and IBM’s big data platform is helping enterprises across all industries. IBM is unique in having developed an enterprise-class big data platform that allows you to address the full spectrum of big data business challenge.

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