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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

A powerful Big Data tool, Apache Hadoop alone is far from being almighty. Hadoop uses Apache Mahout to run machine learning algorithms for clustering, classification, and other tasks on top of MapReduce. Yet, for now, its most highly-sought satellite is data processing engine Apache Spark. Hadoop limitations.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Also, explore other alternatives like Apache Hadoop and Spark RDD.

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How to Become a Big Data Engineer in 2023

ProjectPro

You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets. Machine Learning: Big Data, Machine Learning, and Artificial Intelligence often go hand-in-hand. Data Scientists use ML algorithms to make predictions on the data sets.

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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. Ability to demonstrate expertise in database management systems.

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

Knowledge Hut

Data Aggregation Working with a sample of big data allows you to investigate real-time data processing, big data project design, and data flow. Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop.

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Is Data Science Hard to Learn? (Answer: NO!)

ProjectPro

So, to clear the air, we would like to present you with a list of skills required to become a data scientist in 2021. Knowledge of machine learning algorithms and deep learning algorithms. Experience with Big data tools like Hadoop, Spark, etc. Efficient at managing and organising a variety of tasks.

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15 Business Analyst Project Ideas and Examples for Practice

ProjectPro

Project Idea: In this project, you will work on a retail store’s data and learn how to realize the association between different products. Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. You will also compare the two algorithms to understand the differences between them.