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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures. Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data.

Data 331
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Turning petabytes of pharmaceutical data into actionable insights

Cloudera

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. Ensure content can be reused within the data hub to support pharmaceutical use cases.

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The rise of the data lakehouse: A new era of data value

CIO

The giant pharmaceutical chain had put its lakehouse in place to address just such challenges in its quest, to, as Guadagno puts it, “To get the right product in the right place for the right patient.”. You can intuitively query the data from the data lake. “We leveraged the lakehouse to understand the moment,” the CIO says.

Data 350
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Data Virtualization: Process, Components, Benefits, and Available Tools

Altexsoft

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

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How to Hire Women in Tech: The Ultimate Guide

Mobilunity

Her machine learning and computational biology work has revolutionized online education and the pharmaceutical industry. Parisa Tabriz : Known as Google’s “Security Princess,” Tabriz is a Director of Engineering at Google and has been a stalwart in enhancing the company’s security infrastructure.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes.