Data Engineering
Overview
Data engineering is the process of making raw data from multiple sources and formats usable and accessible to people who want to analyze and apply it. Companies of all sizes have huge amounts of disparate data to comb through to answer critical business questions. Data engineering is designed to support the process, making it possible for consumers of data, such as Analysts, Data Scientists and MIS executives, to reliably, quickly and securely inspect all of the data available.
Topics Covered
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Introduction to Data Engineering
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Evolution of Data Engineering and Roles and Responsibilities
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Types of Data
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Different types of File formats
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Sources of Data
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Overview of Data Repositories
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Governance and Compliance
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Tools for Data Wrangling
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Querying and Analyzing
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Performance Tuning and Troubleshooting
Shri Guru School of Data Analytics
Building Next-Gen Data Analytics professionals