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About OD M1 Introduction To Data Engineering
This document provides an overview of an introduction to data engineering module. It outlines the following key points: - The role of a data engineer is to build data pipelines to enable data-driven decisions. This involves getting data from various sources into a centralized data lake for storage and transforming the data into a usable format. - Common challenges in data engineering include handling different data types, scaling to meet demand, enabling high-throughput ingestion, implementing access controls, and allowing for integration with other tools. These challenges are often easier to address when building pipelines in the cloud. - Google Cloud products that are discussed for building pipelines include Cloud Storage for the data lake, Dataproc and Dataflow for batch ETL processing
Detailed Information
| Author: | ['obumnwabude'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 69 |
| Language: | English |
| Format: | |
| Price: | FREE |
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