Data Engineering with AWS Cookbook. (Record no. 15177)
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| control field | 20250710181506.0 |
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| Standard number or code | 9781805126850 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | PACKT |
| Transcribing agency | PACKT |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | en |
| 044 ## - COUNTRY OF PUBLISHING/PRODUCING ENTITY CODE | |
| MARC country code | GB |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Trâm Ngọc Phạm |
| Relator term | author. |
| 245 00 - TITLE STATEMENT | |
| Title | Data Engineering with AWS Cookbook. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | GB: |
| Name of publisher, distributor, etc. | Packt, |
| Date of publication, distribution, etc. | 2024-11-29. |
| 263 ## - PROJECTED PUBLICATION DATE | |
| Projected publication date | 2024-11-29 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | GB: |
| Name of producer, publisher, distributor, manufacturer | Packt, |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 528. |
| 377 ## - ASSOCIATED LANGUAGE | |
| Language code | en |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | <p><b>Master AWS data engineering services and techniques for orchestrating pipelines, building layers, and managing migrations</b></p><h4>Key Features</h4><ul><li>Get up to speed with the different AWS technologies for data engineering</li><li>Learn the different aspects and considerations of building data lakes, such as security, storage, and operations</li><li>Get hands on with key AWS services such as Glue, EMR, Redshift, QuickSight, and Athena for practical learning</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Performing data engineering with Amazon Web Services (AWS) combines AWS's scalable infrastructure with robust data processing tools, enabling efficient data pipelines and analytics workflows. This comprehensive guide to AWS data engineering will teach you all you need to know about data lake management, pipeline orchestration, and serving layer construction.<br/>Through clear explanations and hands-on exercises, you’ll master essential AWS services such as Glue, EMR, Redshift, QuickSight, and Athena. Additionally, you’ll explore various data platform topics such as data governance, data quality, DevOps, CI/CD, planning and performing data migration, and creating Infrastructure as Code. As you progress, you will gain insights into how to enrich your platform and use various AWS cloud services such as AWS EventBridge, AWS DataZone, and AWS SCT and DMS to solve data platform challenges.<br/>Each recipe in this book is tailored to a daily challenge that a data engineer team faces while building a cloud platform. By the end of this book, you will be well-versed in AWS data engineering and have gained proficiency in key AWS services and data processing techniques. You will develop the necessary skills to tackle large-scale data challenges with confidence.<h4>What you will learn</h4><ul><li>Define your centralized data lake solution, and secure and operate it at scale</li><li>Identify the most suitable AWS solution for your specific needs</li><li>Build data pipelines using multiple ETL technologies</li><li>Discover how to handle data orchestration and governance</li><li>Explore how to build a high-performing data serving layer</li><li>Delve into DevOps and data quality best practices</li><li>Migrate your data from on-premises to AWS</li></ul><h4>Who this book is for</h4>If you're involved in designing, building, or overseeing data solutions on AWS, this book provides proven strategies for addressing challenges in large-scale data environments. Data engineers as well as big data professionals looking to enhance their understanding of AWS features for optimizing their workflow, even if they're new to the platform, will find value. Basic familiarity with AWS security (users and roles) and command shell is recommended. . |
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| System details note | Data in extended ASCII character set. |
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| System details note | Mode of access: Internet. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Gonzalo Herreros González |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Viquar Khan |
| Relator term | author. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Huda Nofal |
| Relator term | author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | PACKT |
| 773 0# - HOST ITEM ENTRY | |
| Title | Data Engineering with AWS Cookbook |
| Place, publisher, and date of publication | GB,Packt,2024-11-29 |
| Physical description | 528 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://learning.packt.com/product/482414">https://learning.packt.com/product/482414</a> |
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