NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Managing Data as a Product. (Record no. 15209)

MARC details
000 -LEADER
fixed length control field 04029nam a2200277uu 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250710181507.0
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024 80 - OTHER STANDARD IDENTIFIER
Standard number or code 9781835469378
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 Andrea Gioia
Relator term author.
245 00 - TITLE STATEMENT
Title Managing Data as a Product.
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 368.
377 ## - ASSOCIATED LANGUAGE
Language code en
520 ## - SUMMARY, ETC.
Summary, etc. <p><b>Learn everything you need to know to manage data as a product and shift toward a more modular and decentralized socio-technical data architecture to deliver business value in an incremental, measurable, and sustainable way</b></p><h4>Key Features</h4><ul><li>Leverage data-as-product to unlock the modular platform potential and fix flaws in traditional monolithic architectures</li><li>Learn how to identify, implement, and operate data products throughout their life cycle</li><li>Design and execute a forward-thinking strategy to turn your data products into organizational assets</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Traditional monolithic data platforms struggle with scalability and burden central data teams with excessive cognitive load, leading to challenges in managing technological debt. As maintenance costs escalate, these platforms lose their ability to provide sustained value over time. With two decades of hands-on experience implementing data solutions and his pioneering work in the Open Data Mesh Initiative, Andrea Gioia brings practical insights and proven strategies for transforming how organizations manage their data assets.<br/>Managing Data as a Product introduces a modular and distributed approach to data platform development, centered on the concept of data products. In this book, you’ll explore the rationale behind this shift, understand the core features and structure of data products, and learn how to identify, develop, and operate them in a production environment. The book guides you through designing and implementing an incremental, value-driven strategy for adopting data product-centered architectures, including strategies for securing buy-in from stakeholders. Additionally, it explores data modeling in distributed environments, emphasizing its crucial role in fully leveraging modern generative AI solutions.<br/>By the end of this book, you’ll have gained a comprehensive understanding of product-centric data architecture and the essential steps needed to adopt this modern approach to data management.<h4>What you will learn</h4><ul><li>Overcome the challenges in scaling monolithic data platforms, including cognitive load, tech debt, and maintenance costs</li><li>Discover the benefits of adopting a data-as-a-product approach for scalability and sustainability</li><li>Navigate the complete data product lifecycle, from inception to decommissioning</li><li>Automate data product lifecycle management using a self-serve platform</li><li>Implement an incremental, value-driven strategy for transitioning to data-product-centric architectures</li><li>Optimize data modeling in distributed environments to enhance GenAI-based use cases</li></ul><h4>Who this book is for</h4>If you’re an experienced data engineer, data leader, architect, or practitioner committed to reimagining your data architecture and designing one that enables your organization to get the most value from your data in a sustainable and scalable way, this book is for you. Whether you’re a staff engineer, product manager, or a software engineering leader or executive, you’ll find this book useful. Familiarity with basic data engineering principles and practices is assumed.
538 ## - SYSTEM DETAILS NOTE
System details note Data in extended ASCII character set.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: Internet.
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Giulio Scotti
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element PACKT
773 0# - HOST ITEM ENTRY
Title Managing Data as a Product
Place, publisher, and date of publication GB,Packt,2024-11-29
Physical description 368
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://learning.packt.com/product/482411">https://learning.packt.com/product/482411</a>

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