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How to Become Data Scientist in 2024 [Step-by-Step]

Knowledge Hut

This career guide can assist you in taking the first steps toward a rewarding career in data science if you're wondering how to become a data scientist. What is Data Science? Big Data Technologies: Familiarize yourself with distributed computing frameworks like Apache Hadoop and Apache Spark.

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Top 20 Azure Data Engineering Projects in 2023 [Source Code]

Knowledge Hut

An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.

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SAP Hadoop Bringing Unique Big Data Solutions

ProjectPro

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise.

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Scenario-Based Hadoop Interview Questions to prepare for in 2023

ProjectPro

Having complete diverse big data hadoop projects at ProjectPro, most of the students often have these questions in mind – “How to prepare for a Hadoop job interview?” ” “Where can I find real-time or scenario-based hadoop interview questions and answers for experienced?”

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Spark vs Hive - What's the Difference

ProjectPro

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Hive is built on top of Hadoop and provides the measures to read, write, and manage the data.

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Top 15 Cloud Computing Projects Ideas for Beginners in 2023

ProjectPro

You can also exchange images securely utilizing the application. It is recommended to use SQL database for data storage as it comes with built-in security tools and features. Banking applications and systems use such applications to protect information and data sets.

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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. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. What are its limitations and how do the Hadoop ecosystem address them? What is Hadoop.