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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Finally, make data visualizations to display your project's results and construct a website to showcase your work, whether it's a portfolio or a personal site.

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AWS vs GCP - Which One to Choose in 2023?

ProjectPro

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. But not long after Google launched GCP in 2008, it began gaining market traction. Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration.

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Hadoop Use Cases

ProjectPro

Hadoop clusters are used by banks to create more accurate risk analysis models for the customers in its portfolio. Hadoop has helped the financial sector, maintain a better risk record in the aftermath of 2008 economic downturn. Upon which you can build analytics application using Hive , MapReduce and Apache Spark.

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How LinkedIn uses Hadoop to leverage Big Data Analytics?

ProjectPro

All the batch processing and analytics workload at LinkedIn is primarily handled by Hadoop. LinkedIn uses Hadoop for development of predictive analytics applications like “Skill Endorsements” and “People You May Know”, ad-hoc analysis by data scientists and for descriptive statistics for operating internal dashboards.

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