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Written by Scott Koegler

Integrating Data from Multiple Sources and Formats
Data integration is the process consisting of merging data coming from a variety of sources and in different formats into a single, unified view. The process is necessary for businesses that rely on data to make crucial business decisions, because it allows them to access a more complete and accurate view of their data. Because of this, the article will… Read more...
Popular Article

Written by Danielle Loughnane

How One Nonprofit is Bridging the Gender Gap in the Data Industry
According to Kaggle, an online community for data scientists and… Read more...

Written by Danielle Loughnane

Why Machine Learning Failed at Predicting the Academy Awards
Can predictive analytics be used to forecast which movie will… Read more...
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Integrating Data from Multiple Sources and Formats

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Featured Article

Written by Scott Koegler

Creating Systems for Real-Time Processing and Analysis of Streaming Data
With the number of devices increasing each day, the amount of data being generated is equally increasing at an unprecedented rate. The data from various sources come in various forms, such as social media posts, sensor data, and the internet. It is important to have systems that can process and analyze data in real-time if you are to make sense… Read more...
Popular Article

Written by Danielle Loughnane

Careers in Analytics: How to Succeed as a Growth Manager
According to the Harvard Business Review, every company needs a Growth Manager. A growth manager’s… Read more...

Written by Danielle Loughnane

Starting Out in Data Science
Not everyone needs to be a data scientist, but every company should utilize data to… Read more...
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Creating Systems for Real-Time Processing and Analysis of Streaming Data

Creating Systems for Real-Time Processing and Analysis of Streaming Data

Using Machine Learning Algorithms to Make Predictions and Automate Decisions

Cleaning and Preprocessing Data to Prepare it for Analysis

Online Black Friday Spend Swells to a Record Breaking $9 bln

Disaster Relief and Big Data

Data Analytics May Change the World
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Featured Article

Written by Scott Koegler

What Happens to Big Data Projects
Big data is fast gaining momentum, and so are the big data projects. Companies are increasing in size and ambition. However, the rising number of big data projects does not mean that they all succeed. Gartner estimates that the number of big data projects that fail is about 60 percent in 2016. In 2017, Gartner revised the number of big… Read more...
Popular Article

Written by Scott Koegler

What Happens to Big Data Projects
Big data is fast gaining momentum, and so are the big data projects. Companies are… Read more...

Written by Scott Koegler

Big Data as a Service is Gaining Value
According to reports, the global big data as a service (BDaaS) industry is expected to… Read more...
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What Happens to Big Data Projects

Big Data as a Service is Gaining Value

Big Data is making a Difference in Hospitals
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Featured Article
Popular Article

Written by Scott Koegler

Big Data, AI and IoT: How are they related?
Ever since the invention of computers many developments have shaped… Read more...

Written by Scott Koegler

What Is Big Data Analytics And Why Do Companies Use It?
The concept of big data has been around for a… Read more...
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Big Data, AI and IoT: How are they related?

What Is Big Data Analytics And Why Do Companies Use It?
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Online Black Friday Spend Swells to a Record Breaking $9 bln

Monday, 28 November 2022

Online Black Friday Spend Swells to a Record Breaking $9 bln

Despite high inflation rates – online Black Friday sales in the United States set a new high. On Friday, Americans flocked to their computers, tablets, and cellphones and spent a whopping $9 billion in just 24 hours. An increase of 2.3% from last years’ sales - Adobe Analytics cited the increase was partially due to consumers waiting until November 25^th to purchase items versus taking advantage of the Black Friday deals that began earlier this year.

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- Mar 11 2019
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