Data Engineering with AWS
May Sherry
"Data Engineering with AWS" goes beyond just theory, offering hands-on tutorials, best practices, and insights into emerging trends. You'll explore the latest advancements in AI, machine learning, and serverless computing, and how they are reshaping the future of data engineering in the cloud. Whether you're working with structured or unstructured data, this book equips you with the knowledge to harness AWS's full potential and drive innovation in your organization.
With its clear explanations, detailed examples, and step-by-step guidance, this book is an essential resource for anyone looking to build and manage scalable data pipelines on AWS. Unlock the power of cloud-based data engineering and take your skills to the next level with "Data Engineering with AWS: Building Scalable Data Pipelines in the Cloud."
Duration - 4h 3m.
Author - May Sherry.
Narrator - Sam Finley.
Published Date - Sunday, 19 January 2025.
Copyright - © 2025 May Sherry ©.
Location:
United States
Description:
"Data Engineering with AWS" goes beyond just theory, offering hands-on tutorials, best practices, and insights into emerging trends. You'll explore the latest advancements in AI, machine learning, and serverless computing, and how they are reshaping the future of data engineering in the cloud. Whether you're working with structured or unstructured data, this book equips you with the knowledge to harness AWS's full potential and drive innovation in your organization. With its clear explanations, detailed examples, and step-by-step guidance, this book is an essential resource for anyone looking to build and manage scalable data pipelines on AWS. Unlock the power of cloud-based data engineering and take your skills to the next level with "Data Engineering with AWS: Building Scalable Data Pipelines in the Cloud." Duration - 4h 3m. Author - May Sherry. Narrator - Sam Finley. Published Date - Sunday, 19 January 2025. Copyright - © 2025 May Sherry ©.
Language:
English
Opening Credits
Duration:00:00:12
Introduction
Duration:01:24:13
Chapter 1 Getting started with aws
Duration:00:40:13
Chapter 2 Data ingestion and storage
Duration:00:46:39
Chapter 3 Data processing and transformation
Duration:00:39:57
Chapter 4 Data analytics and querying
Duration:00:31:01
Conclusion
Duration:00:01:01
Ending Credits
Duration:00:00:13