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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. Download our free summary outlining the best big data examples! Discover 10.

Big Data 244
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So What’s the Buzz Surrounding VR Data Visualization?

The Data Visualisation Catalogue

One of the methods I used during my investigatation into the impact of Virtual Reality (VR) technology on data visualization and infographic design was to simply search online what other people have been saying. and So Far, VR-Enabled Data Visuailzation is Nonsense.

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Data-Driven Pitch Deck Examples for Inspiring the Next Big Screenwriter

Smart Data Collective

Big data has been very important in the creative and entertainment sectors. Many artists are using big data to improve the quality of their work. We mentioned in the past that big data has been very valuable for Hollywood. A growing number of screenwriters are discovering the wonders of big data.

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Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

to create forecast tables and visualize the data. To show this capability, we demonstrate two use cases: Forecast electricity consumption by customer Predict bike sharing rentals What is time series data? Time series data is any dataset that collects information at various time intervals. Bike Sharing Dataset.

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Getting started with Spark and batch processing frameworks

Insight

Getting started with Spark & batch processing frameworks What you need to know before diving into big data processing with Apache Spark and other frameworks. When I was an Insight Data Engineering Fellow in 2016, I knew very little about Apache Spark prior to starting the program. Companies, such as Looker , use NiFi.

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Dresner’s Point: How to Move the Needle in User Adoption

Howard Dresner

Some tweeted that the tangling of BI into the Big Data space causes confusion, it’s a mistake to try to get end users to adopt “analyst tools” and we must stop force-feeding generic analysis tools to end users even if they are “simple” to use. The tweets started with opinions about what hampers user adoption.

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6 benefits of data lineage for financial services

IBM Big Data Hub

Data lineage helps you answer these questions by creating highly detailed visualizations of your data flows. You can use these reports to accurately track and report your data to ensure regulatory compliance. Trust and data governance Data governance isn’t new, especially in the financial world.