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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: Use Stack Overflow Data for Analytic Purposes 4.

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The Ultimate Modern Data Stack Migration Guide

phData: Data Engineering

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Map tasks deal with mapping and data splitting, whereas Reduce tasks shuffle and reduce data. Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. When to use MapReduce with Big Data. Step 3: Data Cleansing This is one of the most critical data preparation steps.