From the course: Transition from Data Science to Data Engineering

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Shift from data scientist to data engineer

Shift from data scientist to data engineer

From the course: Transition from Data Science to Data Engineering

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Shift from data scientist to data engineer

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- [Pooja] Mission accomplished, data heroes. We have navigated the fascinating landscapes of data science and data engineering, equipped you with powerful tools, and ignited your passion for building insights from the raw power of data. In summary, you have learned about the fundamentals of data engineering including data ingestion, transformation, storage, and processing. You have explored various tools and technologies such as Apache Hadoop, Spark, and Cloud platforms like AWS, Azure, Google Cloud. Additionally, you have discovered the best practices for designing scalable and efficient data pipelines. Next steps. Practice, practice, practice,. Experiment with new tools, build personal projects, and keep learning. Join the data community. Network, share your knowledge, and learn from others. Remember, the first step is to apply what you have learned. Start by identifying a data engineering project or problem you want to solve, and deep dive into it. Practice and get hands-on…

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