Certificate in Serverless Data Pipelines Design

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The Certificate in Serverless Data Pipelines Design is a comprehensive course that focuses on building, deploying, and managing data pipelines without the need for physical servers. This course is essential in today's industry, where businesses are increasingly relying on cloud services for their data needs.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

This course equips learners with the skills to design, build, and operate serverless data pipelines using AWS, Azure, or Google Cloud. It covers key topics such as data ingestion, processing, storage, and visualization. Upon completion, learners will have a deep understanding of how to create scalable, cost-effective, and resilient data pipelines. In addition to the technical skills gained, this course also helps learners develop their problem-solving and critical thinking abilities. These skills are highly valued in the industry and can lead to career advancement opportunities. With the increasing demand for serverless architecture, this course is an excellent investment for anyone looking to advance their career in data engineering or cloud computing.

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ใฉใ“ใ‹ใ‚‰ใงใ‚‚ๅญฆ็ฟ’

ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Unit 1: Introduction to Serverless Data Pipelines
โ€ข Unit 2: Serverless Architecture and its Benefits
โ€ข Unit 3: Overview of Serverless Data Pipeline Services (AWS Glue, Azure Data Factory, Google Cloud Data Fusion)
โ€ข Unit 4: Designing Serverless ETL Data Pipelines
โ€ข Unit 5: Data Orchestration in Serverless Architecture
โ€ข Unit 6: Implementing Security and Compliance in Serverless Data Pipelines
โ€ข Unit 7: Cost Optimization Strategies for Serverless Data Pipelines
โ€ข Unit 8: Monitoring and Troubleshooting Serverless Data Pipelines
โ€ข Unit 9: Real-World Use Cases and Applications of Serverless Data Pipelines
โ€ข Unit 10: Best Practices for Serverless Data Pipeline Design

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The Certificate in Serverless Data Pipelines Design program prepares professionals for innovative roles in the data engineering landscape. This section highlights relevant job market trends, focusing on four key roles: Data Engineer (Serverless), Data Scientist (Serverless), DevOps Engineer (Serverless), and Machine Learning Engineer (Serverless). In the ever-evolving data engineering world, serverless architectures are becoming increasingly popular. This shift is driven by the need for cost-effective, scalable, and efficient data processing pipelines. **Data Engineer (Serverless)** Data Engineers specializing in serverless technologies design, build, and maintain data pipelines using cloud-based serverless platforms. They are responsible for ensuring seamless data flow between various services and optimizing pipeline performance. **Data Scientist (Serverless)** Data Scientists working with serverless architectures develop predictive models, machine learning algorithms, and statistical analyses using managed cloud services. They focus on data exploration, preprocessing, and model deployment in a scalable environment. **DevOps Engineer (Serverless)** DevOps Engineers skilled in serverless technologies streamline the development, testing, and deployment processes for data pipelines. They manage infrastructure as code and automate the delivery pipelines to ensure rapid application updates and maintenance. **Machine Learning Engineer (Serverless)** Machine Learning Engineers with serverless expertise develop and deploy machine learning models at scale using managed cloud services. They focus on building end-to-end ML pipelines, optimizing model training, and performing inference tasks efficiently. By understanding the demands and requirements of these serverless-focused roles, professionals can make informed decisions about their career paths and benefit from the growing trend of serverless data pipelines.

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
CERTIFICATE IN SERVERLESS DATA PIPELINES DESIGN
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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