Data Engineering, Big Data, and Machine Learning on GCP Specialization

开始时间: 12/21/2023 持续时间: Approximately 4 months to complete Suggested pace of 4 hours/week

所在平台: Coursera专项课程 课程类别: 计算机科学 大学或机构: CourseraNew

课程主页: https://www.coursera.org/specializations/gcp-data-machine-learning

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This online specialization provides participants a hands-on introduction to designing and building data pipelines on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and derive insights. The course covers structured, unstructured, and streaming data. This course teaches the following skills: • Design and build data pipelines on Google Cloud Platform • Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc. • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow • Manage your data Pipelines with Data Fusion and Cloud Composer. • Derive business insights from extremely large datasets using Google BigQuery • Learn how to use pre-built ML APIs on unstructured data and build different kinds of ML models using BigQuery ML. • Enable instant insights from streaming data This class is intended for developers who are responsible for: • Extracting, Loading, Transforming, cleaning, and validating data • Designing pipelines and architectures for data processing • Integrating analytics and machine learning capabilities into data pipelines • Querying datasets, visualizing query results and creating reports >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

GCP专业化方面的数据工程，大数据和机器学习：此在线专业化课程向参与者提供了动手介绍，以介绍如何在Google Cloud Platform上设计和构建数据管道。通过演示，演示和动手实验的结合，参与者将学习如何设计数据处理系统，建立端到端数据管道，分析数据并获得见解。该课程涵盖结构化，非结构化和流数据。 本课程教授以下技能： •在Google Cloud Platform上设计和建立数据管道 •使用Cloud Dataproc将现有的Hadoop工作负载提升并转移到云中。 •通过在Cloud Dataflow上实现自动扩展数据管道来处理批处理和流数据 •使用数据融合和Cloud Composer管理数据管道。 •使用Google BigQuery从庞大的数据集中获得业务见解 •了解如何在非结构化数据上使用预构建的ML API，以及如何使用BigQuery ML构建不同种类的ML模型。 •从流数据中获得即时见解 此类适用于负责以下工作的开发人员： •提取，加载，转换，清洁和验证数据 •设计用于数据处理的管道和架构 •将分析和机器学习功能集成到数据管道中 •查询数据集，可视化查询结果并创建报告 ＆gt;＆gt;＆gt;通过注册该专业，您同意FAQ中列出的Qwiklabs服务条款，该条款位于：https://qwiklabs.com/terms_of_service＆lt;＆lt;＆lt;

课程大纲

Course Link: https://www.coursera.org/learn/gcp-big-data-ml-fundamentals

Name:Google Cloud Big Data and Machine Learning Fundamentals

Description:Offered by Google Cloud. This course introduces the Google Cloud big data and machine learning products and services that support the ... Enroll for free.

Course Link: https://www.coursera.org/learn/data-lakes-data-warehouses-gcp

Name:Modernizing Data Lakes and Data Warehouses with Google Cloud

Description:Offered by Google Cloud. The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for ... Enroll for free.

Course Link: https://www.coursera.org/learn/batch-data-pipelines-gcp

Name:Building Batch Data Pipelines on Google Cloud

Description:Offered by Google Cloud. Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load ... Enroll for free.

Course Link: https://www.coursera.org/learn/streaming-analytics-systems-gcp

Name:Building Resilient Streaming Analytics Systems on Google Cloud

Description:Offered by Google Cloud. Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics ... Enroll for free.

Course Link: https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp

Name:Smart Analytics, Machine Learning, and AI on Google Cloud

Description:Offered by Google Cloud. Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from ... Enroll for free.

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