Remove 2006 Remove 2020 Remove Big Data
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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. Big data and data warehousing.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2006: Amazon spearheads the cloud initiative, drops EC2 and S3 into the market. 14 years later, in 2020, the pandemic demands for remote work, and overnight revisions to business strategy. Hadoop was developed in 2006. An efficient big data management and storage solution that AWS quickly took advantage of.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

In the year of 2020, with everyone working from home, better cloud storage and computing strategies have helped many organizations to grow higher while some were struggling to adapt to the changes. It is loud and clear that Cloud Computing is fundamental to the new wave of digital transformation. Follow Mark Lynd on Twitter and LinkedIn.

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Layman’s Guide to Machine Learning and Customer Data Privacy

Actian

But in 2020, ML and AI have been considerably demystified. In order to shield individual privacy in the context of big data, different anonymization techniques have conventionally been used. AI technologies have not historically been developed with privacy in mind. Differential Privacy .

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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

Data Pine

Based on the structure of the chart, it does in fact appear to show that the number of abortions since 2006 experienced substantial growth, while the number of cancer screenings substantially decreased. Here they speak about two use-cases in which COVID-19 data was used in a misleading way. Let’s look at one of them closely.

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