Get Discount 5% Off
Subscribe to our newsletters now and stay up-to-date with new arrivals, updates and deals.
Currency
Couldn't load pickup availability
Understand modern data fabric and data mesh concepts using AI-based self-service data discovery and delivery capabilities, a range of intelligent data integration styles, and automated unified data governance--all designed to deliver "data as a product" within hybrid cloud landscapes.
This book teaches you how to successfully deploy state-of-the-art data mesh solutions and gain a comprehensive overview on how a data fabric architecture uses artificial intelligence (AI) and machine learning (ML) for automated metadata management and self-service data discovery and consumption. You will learn how data fabric and data mesh relate to other concepts such as data DataOps, MLOps, AIDevOps, and more. Many examples are included to demonstrate how to modernize the consumption of data to enable a shopping-for-data (data as a product) experience.
By the end of this book, you will understand the data fabric concept and architecture as it relates to themes such as automated unified data governance and compliance, enterprise information architecture, AI and hybrid cloud landscapes, and intelligent cataloging and metadata management.
What You Will Learn
Eberhard Hechler is an Executive Architect at the IBM Germany R&D Lab. He is a member of the Data and AI development organization and addresses the broader analytics scope, including machine learning (ML). After more than two years at the IBM Kingston Lab in New York, he worked in software development, performance optimization, IT/solution architecture and design, Hadoop and Spark integration, and mobile device management (MDM).
Eberhard worked with Db2 on the MVS platform, focusing on testing and performance measurements. He has worked worldwide with IBM clients from various industries on a vast number of topics such as data and AI, information architectures, and industry solutions. From 2011 to 2014, he was at IBM Singapore, working as the Lead Big Data Architect in the Communications Sector of IBM's Software Group throughout the Asia-Pacific region.Eberhard has studied in Germany and France, and holds a master's degree (Dipl.-Math.) in Pure Mathematics and a bachelor's degree (Dipl.-Ing. (FH)) in Electrical Engineering. He is a member of the IBM Academy of Technology, and has co-authored the following books:: Enterprise MDM, The Art of Enterprise Information Architecture, Beyond Big Data, and Deploying AI in the Enterprise (Apress).
Maryela Weihrauch is an IBM Distinguished Engineer in the Data and AI development group for IBM Z Technical Sales, and is a Customer Success leader. She has extensive experience with relational databases in terms of systems, application, and database design. She is engaged with enterprises across the world and helps them adopt new data and analytics technologies. Her former roles in Db2 for z/OS development have involved determining a Db2 for z/OS strategy for HTAP (Hybrid Transaction and Analytics Processing), including the Db2 Analytics Accelerator strategy and implementation as well as Db2's application enablement strategy.
Maryela consults with enterprises around the globe on many data modernization initiatives and leads an effort to develop a methodology to determine the best data architecture for a given application based on data architecture decision criteria.
Maryela holds two master's degrees in Computer Science from Technical University Chemnitz, Germany and California State University, Chico, California, USA. She holds a number of patents and is a member of the IBM Academy of Technology. She frequently shares her experience at conferences around the world.
Yan (Catherine) Wu is the Program Director at the IBM Silicon Valley Lab. She is an engineering leader with deep expertise in data governance, artificial intelligence (AI), machine learning (ML), enterprise design thinking, and pragmatic product marketing. She has extensive experience working with large clients to discover use cases for data governance and AI, explore how the latest technologies can be applied to resolve real-world business challenges, and deploy these technologies to accelerate enterprise digital transformation. She has a proven track record in translating customer needs into software solutions while working collaboratively with globally distributed development, design, and offering management teams.
Prior to her current position at IBM US, Catherine was the Lab Director of the Data and AI development lab at IBM China. In these roles, Catherine demonstrated her ability to think horizontally and strategically to bring teams together to create innovative solutions for complex problems.
Catherine is an ambassador for the Women in Data Science organization (https: //www.widsconference.org/). She is passionate about inspiring and educating data scientists worldwide, particularly women in this field. She organized WiDS regional events over the past three years.
Catherine holds a master's degree in Computer Science from National University of Singapore, and a bachelor's degree in Computer Technology from Tsinghua University.
You may return most new, unopened items within 30 days of delivery for a full refund. We'll also pay the return shipping costs if the return is a result of our error (you received an incorrect or defective item, etc.).
You should expect to receive your refund within four weeks of giving your package to the return shipper, however, in many cases you will receive a refund more quickly. This time period includes the transit time for us to receive your return from the shipper (5 to 10 business days), the time it takes us to process your return once we receive it (3 to 5 business days), and the time it takes your bank to process our refund request (5 to 10 business days).
If you need to return an item, simply login to your account, view the order using the "Complete Orders" link under the My Account menu and click the Return Item(s) button. We'll notify you via e-mail of your refund once we've received and processed the returned item.
We can ship to virtually any address in the world. Note that there are restrictions on some products, and some products cannot be shipped to international destinations.
When you place an order, we will estimate shipping and delivery dates for you based on the availability of your items and the shipping options you choose. Depending on the shipping provider you choose, shipping date estimates may appear on the shipping quotes page.
Please also note that the shipping rates for many items we sell are weight-based. The weight of any such item can be found on its detail page. To reflect the policies of the shipping companies we use, all weights will be rounded up to the next full pound.
Subscribe to our newsletters now and stay up-to-date with new arrivals, updates and deals.
Thanks for subscribing!
This email has been registered!
Product | SKU | Description | Collection | Availability | Product Type | Other Details |
---|