Modern Data Architecture In Ai: Optimize Ai Data Storage, Versioning, And Partitioning With Lakehouse
Language: English
Published by Bpb Publications, 2025
- Softcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
£ 38.13
Quantity: 1 available
Add to basketItem description from seller
344 pages. 7.50x0.78x9.25 inches. In Stock. This item is printed on demand.
Seller Inventory # __936589977X
- Title
- Modern Data Architecture In Ai: Optimize Ai Data Storage, Versioning, And Partitioning With Lakehouse
- Author
- Choudhury, Abhik Amudala Puchakayala, Praneeth Reddy Badlani, Aishwarya
- Publisher
- Bpb Publications
- Publication year
- 2025
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 936589977X
- ISBN 13
- 9789365899771
- Item weight
- 0.6 kilograms
Description
Building effective AI solutions demands a robust data architecture capable of handling vast, diverse, and real-time data. This book aims to provide a deep exploration of the tools, technologies, strategies, and best practices that necessitate the design, implementation, and management of data architectures tailored to AI.
The book starts by introducing fundamental concepts of modern data architecture for AI, laying the groundwork for understanding its importance. It then digs deep into the aspects of data ingestion and collection strategies. Subsequently, it discusses data storage and management techniques that cater specifically to AI workloads. Readers will understand the concepts of data processing, transformation, and building scalable and efficient data pipelines, and how to orchestrate interconnected processes. The book further explores the topics of scalable ML infrastructure and stream processing, concluding with insights into visualization, explainable AI, and future trends.
By the end of this book, the readers will have a comprehensive understanding and the skills to develop and manage scalable and efficient AI systems. They will have a firm grasp on the collection, storage, processing, and transformation of data, ensuring data governance and security. After reading this book, you will be well-equipped to design, build, and manage cutting-edge data architectures for diverse AI workloads, empowering your strategic initiatives.
What you will learn
● Build data pipelines with automated orchestration and monitoring.
● Design scalable data lakes and lakehouse architectures for AI workloads.
● Learn data governance, security, and compliance frameworks.
● Leverage emerging technologies like quantum and edge computing.
● Optimize infrastructure for distributed ML training and serving.
● Visualize AI insights and apply explainable AI methods for transparency.
● Understand LLMs, generative AI, federated learning, and their data architecture impact.
● Architect real-time AI systems with online learning and low-latency stream processing.
Who this book is for
This book is for data engineers, ML engineers, and enterprise architects who are at the forefront of designing and implementing scalable AI data systems. It is an essential guide for building robust data foundations. Software developers transitioning into AI infrastructure roles and technical leaders planning AI initiatives will also benefit significantly.
Table of Contents
1. Introduction to Modern Data Architecture for AI
2. Data Collection and Ingestion Strategies
3. Data Storage and Management for AI Workloads
4. Data Processing and Transformation for AI
5. Modern Data Pipeline Management
6. Data Governance, Security, and Compliance in AI
7. AI Algorithms and Their Impact on Data Architecture
8. Scalable Machine Learning Infrastructure
9. Real-time AI Systems and Stream Processing
10. Data Visualization and Explainable AI
11. Emerging Trends in AI Data Architecture
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 14 business days | 2 to 3 business days |
|---|---|---|
| First item | £ 12.50 | £ 30.00 |
Payment methods
Seller's business information
Edward Bowditch Ltd
Exstowe, Exton
Exeter, United Kingdom EX3 0PP
Terms of sale
Legal entity name: Edward Bowditch Ltd
Legal entity form: Limited company
Business correspondence address: Exstowe, Exton, Exeter, EX3 0PP
Company registration number: 04916632
VAT registration: GB834241546
Authorised representative: Mr. E. Bowditch
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 Revaluation Books, Hounslow, United Kingdom, 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
Orders usually dispatched within two working days.