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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Hadoop and Spark are the two most popular platforms for Big Data processing. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? scalability.

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Data Analytics Projects: 9 Project Ideas for Your Portfolio

Edureka

As a data analytics professional, building a strong portfolio of projects is essential to showcase your skills and expertise to potential employers. This article will discuss nine data analytics project ideas for your portfolio. A well-curated portfolio can help you stand out from other candidates when applying for jobs.

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10 Best Hadoop articles from 2023 that you should read

ProjectPro

We know that big data professionals are far too busy to searching the net for articles on Hadoop and Big Data which are informative and factually accurate. We have taken the time and listed 10 best Hadoop articles for you. To read the complete article, click here 2) How much Java is required to learn Hadoop?

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8 Best Python Data Science Books [Beginners and Professionals]

Knowledge Hut

There are many books on Python for data science accessible; in this article, we'll look at the top 8 of such Python books for data science as rated by Goodreads users. This book introduces data scientists to the Hadoop ecosystem and its tools for big data analytics. Make a data science portfolio while you are learning Python.

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Data Science Prerequisites: First Steps Towards Your DS Journey

Knowledge Hut

In this article, we will look at all the technical and non-technical prerequisites to kickstart a career in Data Science. There are also exceptions in the industry, where Data Scientists do not have a Bachelor’s degree or a Master’s degree in a related field, but have an impressive project portfolio, showcasing their skills.

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Hadoop- The Next Big Thing in India

ProjectPro

Big Data Hadoop skills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming big data to valuable information and the power of Hadoop in impeding it. The talent pool is huge.”

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Data News — Week 23.10

Christophe Blefari

Sorting all the eggs of the landscape ( credits ) Dear readers, this week Data News lands on Saturday and will be a little bit different than usual because I found less relevant article and as promised last week I wanted to speak about the MAD Landscape. Evolution between 2012 and 2023.

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