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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. Data pipeline best practices should be shown in these initiatives. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

Examples of unstructured data can range from sensor data in the industrial Internet of Things (IoT) applications, videos and audio streams, images, and social media content like tweets or Facebook posts. Data ingestion Data ingestion is the process of importing data into the data lake from various sources.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

Big Data analytics encompasses the processes of collecting, processing, filtering/cleansing, and analyzing extensive datasets so that organizations can use them to develop, grow, and produce better products. Big Data analytics processes and tools. Data ingestion. Data cleansing. Apache Kafka.

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When To Use Internal vs. External Stages in Snowflake

phData: Data Engineering

Once the data is loaded into Snowflake, it can be further processed and transformed using SQL queries or other tools within the Snowflake environment. This includes tasks such as data cleansing, enrichment, and aggregation.