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

CIO

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data scientists are experts in applying computer science, mathematics, and statistics to building models.

Data 324
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Data Summit 2023 Event Recap

Datavail

From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone. I’ll recap our presentations and everything else the Datavail team learned at Data Summit 2023.

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OtterTune, which taps AI to optimize databases, raises $12M

TechCrunch

In conversations with executives, he was surprised at how much the company was paying administrators to do what he considered to be basic maintenance database tasks. “The database administrators were almost boasting about how much they were getting paid to do trivial things to keep their databases running,” Pavlo said.

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How to Hire Women in Tech: The Ultimate Guide

Mobilunity

In today’s fast-developing digital age, the technology industry has emerged as a key factor in national and international economies. This article delves into the current situation of women in technology by discussing the obstacles they face, inspiring success stories, and the upsides of encouraging more women to enter the field.

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Data engineers vs. data scientists

O'Reilly Media - Data

On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Creating a data pipeline may sound easy or trivial, but at big data scale, this means bringing together 10-30 different big data technologies. The need for machine learning engineers.

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Viva Las Vegas: Ten Sure Technology Bets for 2020?Part 4

TIBCO - Connected Intelligence

Your Third Ace: Advanced Data Management Technology. Unfortunately, vendors of data management solutions—metadata management, master data management, data governance, data catalog, data modeling, data quality, data security, and data integration to name a few—haven’t adopted this unified approach. Your Fourth Ace: Augmented People.

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Oracle 19c Manages Emerging Data Types

Datavail

They’re finding it almost impossible to co-opt their legacy database technology for use with cutting-edge data sources like Artificial Intelligence (AI) and the Internet of Things (IoT). Whether it’s written, spoken, or even sung, human language is replete with both obvious and subliminal communications.