Introduction to Data Engineering

with Shashank Kalanithi

Data engineers prepare data for operational and analytical uses. Data engineering focuses on the collection, storage, management, transformation and presentation of data to make it useful for analytics, operational uses and data science. Data engineers build pipelines for data collection and storage taking into consideration security, reliability, scalability, fault-tolerance and efficiency. Main things are to be able to collect & ingest, store & manage and process data. Data engineering is important because it lays down the foundations for data analytics and data science capabilities.

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