AI-Native Data Engineering : Designing Intelligent Data Platforms, Pipelines, and Architectures for Foundation Models
Language: English
Published by Independently Published Sep 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 31.15
Quantity: 2 available
Add to basketItem description from seller
Neuware.
Seller Inventory # 9798176340198
- Title
- AI-Native Data Engineering : Designing Intelligent Data Platforms, Pipelines, and Architectures for Foundation Models
- Author
- Arjun Mehta
- Publisher
- Independently Published Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798176340198
- Item weight
- 270 grams
- Dimensions
- 216x140x12 mm
Are your data platforms truly ready for the demands of modern AI—or are they still designed around assumptions from a pre-AI era?
What happens when traditional data pipelines must support foundation models, generative AI applications, real-time intelligence, vector search, massive datasets, and constantly changing workloads? How do you design infrastructure that can move beyond simply storing and processing data to actively supporting intelligent systems?
AI-Native Data Engineering: Designing Intelligent Data Platforms, Pipelines, and Architectures for Foundation Models explores these questions and provides a practical guide to building data infrastructure for the rapidly evolving AI era.
But where should you begin?
How should data be collected, transformed, governed, stored, and delivered when AI applications depend on high-quality, fresh, contextual, and machine-ready data? How do you connect traditional data engineering practices with the requirements of foundation models and intelligent applications? And how can you build architectures that remain reliable and scalable as your data volumes, models, users, and workloads continue to grow?
This book takes you through the essential concepts behind AI-native data engineering and shows how modern data platforms can be designed to support demanding AI workloads. You will explore the principles behind scalable data pipelines, modern data architectures, real-time processing, data quality, metadata, governance, and model-ready data.
What about the data layer itself?
How do vector databases, embeddings, retrieval systems, data lakes, lakehouses, and modern processing frameworks fit together? How can structured and unstructured data be prepared for foundation models? How do you create pipelines capable of delivering the right information to AI systems at the right time?
You will learn how to think about data engineering not simply as moving data from one system to another, but as designing the infrastructure that enables intelligent applications to work effectively.
The book also examines practical architectural considerations surrounding scalability, reliability, observability, security, data governance, and performance. You will gain insight into how different components can work together to create robust platforms capable of supporting machine learning, generative AI, retrieval-augmented applications, and other intelligent workloads.
Are you concerned about building systems that work today but become difficult to maintain tomorrow? What happens when data requirements change, AI workloads increase, or new models and technologies emerge?
This guide helps you approach those challenges with architectural thinking, practical engineering principles, and a focus on systems that can evolve.
Whether you are a data engineer, AI engineer, platform engineer, cloud professional, software developer, architect, technical leader, or someone looking to understand how modern data infrastructure supports AI, this book offers a practical foundation for understanding the technologies and decisions shaping AI-ready data platforms.
If you want to understand how modern data engineering is evolving for foundation models and intelligent applications, this book gives you the knowledge to start building with purpose.
Are you ready to rethink your data architecture for the AI era?
Get your copy of AI-Native Data Engineering today and start building data platforms, pipelines, and architectures designed for intelligent systems.
"Synopsis" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 7 to 10 business days | 5 to 7 business days |
|---|---|---|
| First item | £ 29.20 | £ 37.54 |
Payment methods
- Bank Wire Transfer
- Check
- Paypal
Store description
Das Unternehmen AHA-BUCH GmbH: Seit der Gründung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisgünstig wie möglich ihren Bücherwunsch zu erfüllen. Unsere Firma beschäftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine Wünsche! Auf über 3700 m2 Fläche haben wir über 100.000 Bücher, Modernes Antiquariat und Spiele auf Lager.
Specialty
Kinderbücher & Kinderhör Casetten, German Books, Software, Natur & Tiere, Ratgeber, Sachbücher, Englische Bücher, Medizin & Gesundheit, Universität & StudiumSeller's business information
AHA-BUCH GmbH
Garlebsen 48
Einbeck, Germany 37574
Terms of sale
Imprint
Seller Info:
AHA-BUCH GmbH
represented by the managing director Christel Glass
Garlebsen 48
37574 Einbeck
Deutschland
Telefon: 055639996039
Telefax: 055639995974
E-Mail: abebooks@aha-buch.de
USt-IdNr.: DE261904229
registered at Commercial register Amtsgerichtes Göttingen
Handelsregisternummer HRB 200691
Alternative dispute resolution:
The European Commission provides a platform for out-of-court online dispute resolution (ODR platform), which can be accessed under https://ec.europa.eu/odr.
We have been a member of the "FairCommerce" initiative since 25.05.2018.
For more information, see www.fair-commerce.de.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to AHA-BUCH GmbH, Einbeck, Germany, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
We ship your order after we received them
for articles on hand latest 24 hours,
for articles with overnight supply latest 48 hours.
In case we need to order an article from our supplier our dispatch time depends on the reception date of the articles, but the articles will be shipped on the same day.
Our goal is to send the ordered articles in the fastest, but also most efficient and secure way to our customers.