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Recap of Hadoop News for January 2017

ProjectPro

News on Hadoop-January 2017 Big Data In Gambling: How A 360-Degree View Of Customers Helps Spot Gambling Addiction. The largest gaming agency in Finland, Veikkaus is using big data to build a 360 degree picture of its customers. Source : [link] How Hadoop helps Experian crunch credit reports. Forbes.com, January 5, 2017.

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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data. What is Data Modeling?

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Forge Your Career Path with Best Data Engineering Certifications

ProjectPro

Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs. Businesses rely on the knowledge and skills of data engineers to deliver scalable solutions to their clients.

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Data Engineer vs Data Scientist- The Differences You Must Know

ProjectPro

Difference between Data Science and Data Engineering Data Science Data Engineering Data Science involves extracting information from raw data to derive business insights and values using statistical methods. Data Engineering is associated with data collecting, processing, analyzing, and cleaning data.

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Data Engineer Roles And Responsibilities 2022

U-Next

Data Engineer roles and responsibilities have certain important components, such as: Refining the software development process using industry standards. Identifying and fixing data security flaws to shield the company from intrusions. Employing data integration technologies to get data from a single domain.

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.