Remove Data Processing Remove Prescriptive Analytics Remove Reference
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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. The term “Big” does not only refer to its size, but also to its capacity to acquire, organize, and process information beyond the capabilities of traditional databases.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

An e-commerce conglomeration uses predictive analytics in its recommendation engine. An online hospitality company uses data science to ensure diversity in its hiring practices, improve search capabilities and determine host preferences, among other meaningful insights.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

It is prudent to consolidate this data into a single customer view, serving as a primary reference for downstream applications, ranging from ecommerce platforms to CRM systems. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

And by “scale” I’m referring to what is arguably the largest, most successful data analytics operation in the cloud of any public firm that isn’t a cloud provider. OSCON , Jul 15-18 in Portland: CFP is open for the “ML Ops: Managing the end-to-end ML lifecycle” track that I’ll be hosting on Jul 16. See you at Rev 3 in 2020!

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021. Thanks for the overview Andrew. Education is one way.

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What Is Embedded Analytics?

Jet Global

Deployment Style The greatest flexibility comes from solutions that can be easily deployed on-premise at customer sites, hosted in your data center, and made available in the cloud through such data platforms as Amazon Web Services and Microsoft Azure. References Ask to speak to existing customers in similar verticals.