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

Big Data is the confluence of three trends: Big Transaction Data, Big Interaction Data, and Big Data Processing,Data-centric protection (masking, encryption, tokenization) can address 3Vs and meet/exceed compliance and risk management requirements Without adequate sensitive
data protection, organizations resort to “Penalty Boxing” Hadoop.

OTHER ON-DEMAND WEBINARS

Fanatics Ingests Streaming Data to a Data Lake on AWS

awscloud.com

Fanatics, a popular sports apparel website and fan gear merchandiser, needed to ingest terabytes of data from multiple historical and streaming sources transactional, e-commerce, and back-office systems to a data lake on Amazon S3. Once ingested, the data would be analyzed to better identify, predict, and fulfill customer needs related to the products Fanatics offers in over 300 online and offline stores.
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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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ACCELERATE DIGITAL TRANSFORMATION WITH BIG DATA FABRIC

Paxata

We have reached the tipping point where all businesses recognize they cannot compete in a digital age using analog-era legacy data solutions and architectures. The winners in the next phase of business will be those enterprises that obtain a clear handle on the foundations of modern data management fabric. The modern big data fabric helps enterprise organizations accelerate insights by automating ingestion, curation, discovery, preparation, and integration from data silos. Watch guest speaker Noel Yuhanna from Forrester and Paxata’s Nenshad Bardoliwalla as they discuss: Latest trends, benefits, and use cases of big data fabric Challenges enterprise organizations must overcome. How to deliver faster time-to-value with an. enterprise-grade self-service data preparation solution.
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Data Analytics and AI Fraud, Waste, & Abuse

Join Google Cloud, SpringML, and Carahsoft for a webinar as we explore a framework for combating fraud, waste, and abuse. It’s not enough to chase down fraud after it happens — our solution helps you proactively identify fraud, waste, and abuse before it infiltrates your system and doesn’t penalize legitimate claims.
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Spotlight

Big Data is the confluence of three trends: Big Transaction Data, Big Interaction Data, and Big Data Processing,Data-centric protection (masking, encryption, tokenization) can address 3Vs and meet/exceed compliance and risk management requirements Without adequate sensitive
data protection, organizations resort to “Penalty Boxing” Hadoop.

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