Remove 2021 Remove Big Data Tools Remove Datasets Remove Machine Learning
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Top Hadoop Projects and Spark Projects for Beginners 2021

ProjectPro

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. Scalability 4.Link Link Prediction 5.Cloud

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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.

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

ProjectPro

FAQs on Learning Data Science Is data science a hard job? Is data science hard than software engineering? Is it hard to get into data science with a master's in statistics? What are the requirements to learn machine learning? Is Data Science Hard to learn? is considered a bonus.

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Hadoop Salary: A Complete Guide from Beginners to Advance

Knowledge Hut

An expert who uses the Hadoop environment to design, create, and deploy Big Data solutions is known as a Hadoop Developer. They are skilled in working with tools like MapReduce, Hive, and HBase to manage and process huge datasets, and they are proficient in programming languages like Java and Python.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

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Top 20 Data Analytics Projects for Students to Practice in 2023

ProjectPro

The rise in the number of CDO’s is proof that more and more businesses are realizing the importance of adopting big data analytics. With more complex data, Excel allows customization of fields and functions that can make calculations based on the data in the excel spreadsheet. This number grew to 67.9%

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. ETL is the acronym for Extract, Transform, and Load.