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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? As part of similar research, Felipe Hoffa analysed gigabytes of data spread over many publications from Google's BigQuery data collection. Which queries do you have?

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Top Big Data Hadoop Projects for Practice with Source Code

ProjectPro

Having multiple hadoop projects on your resume will help employers substantiate that you can learn any new big data skills and apply them to real life challenging problems instead of just listing a pile of hadoop certifications. Get started now on your big data journey.

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How to Become a Big Data Engineer in 2023

ProjectPro

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

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How Big Data Analysis helped increase Walmarts Sales turnover?

ProjectPro

Big Data Analytics Solutions at Walmart Social Media Big Data Solutions Mobile Big Data Analytics Solutions Walmart’ Carts – Engaging Consumers in the Produce Department World's Biggest Private Cloud at Walmart- Data Cafe How Walmart is fighting the battle against big data skills crisis?

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Unlock Answers to the Top Questions- What is Big Data and what is Hadoop?

ProjectPro

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data.

Hadoop 52
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100+ Big Data Interview Questions and Answers 2023

ProjectPro

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Steps for Data preparation.

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50 PySpark Interview Questions and Answers For 2023

ProjectPro

PySpark SQL, in contrast to the PySpark RDD API, offers additional detail about the data structure and operations. ’ A DataFrame is an immutable distributed columnar data collection. After creating a dataframe, you can interact with data using SQL syntax/queries.

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