Remove 2016 Remove Big Data Remove Hadoop Remove R (Programming)
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7 Big Data Conferences You Should Attend in 2023

ProjectPro

Big data and Data Science are among the fastest growing professions in 2016 and there is no better way to stay informed on the latest trends and technologies in the big data space than by attending one of the top big data conferences.

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Top Big Data Certifications to choose from in 2023

ProjectPro

Big Data is in the middle of its journey, offering various life-changing career opportunities. If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. It might seem redundant to you.

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What career path should I take to become a Hadoop Developer?

ProjectPro

Having worked your way up in the IT totem pole in the same job role, you have decided this is the best to find new horizons, new environment and a new gig in the big data domain. What do recruiters look for when hiring Hadoop developers? Do certifications from popular Hadoop distribution providers provide an edge?

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

Acquire first-hand experience in learning Python packages for data processing and analysis. Big Data: Principles and best practices of scalable real-time data systems Big Data: Principles and Best Practices of Scalable Realtime Data Systems is an excellent resource for anyone who wants to learn the fundamentals of working with big data.

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15 Business Analyst Project Ideas and Examples for Practice

ProjectPro

In 2016, Mark Madsen, a research analyst, asked if there is a correlation between the sales of diapers and beers? You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language.