Designing Data-Intensive Applications by Martin Kleppmann (2017, 1st Edition)

| 0

“Designing Data-Intensive Applications” by Martin Kleppmann is a comprehensive textbook focusing on the principles of designing reliable, scalable, and maintainable systems. Published by O’Reilly Media, this first edition book is aimed at adult and further education levels, with an advanced level of content. The book covers data modeling and design, as well as desktop applications and databases, making it a valuable resource for anyone looking to enhance their understanding of data-intensive systems. With 614 pages and a focus on big ideas behind data-intensive applications, this textbook is a must-read for those interested in the field of computers and data management.

Autodesk Civil 3D 2026 Fundamentals by Ascent ( Paperback) New in Shrink Wrap

| 0

The product is a new paperback textbook titled “Autodesk Civil 3D 2026 Fundamentals” by Ascent, published by SDC Publications in the United States. This textbook, with a total of 1000 pages, focuses on the subject area of computers and is written in English. It is specifically designed as a comprehensive resource for those learning the fundamentals of Autodesk Civil 3D 2026. The book is new in shrink wrap, ensuring that the content is in pristine condition for the student to study and learn from.

Martin Kleppman Designing Data-Intensive Application 2nd ed 9781098119065

| 0

The product is a textbook titled “Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by authors Martin Kleppmann and Chris Riccomini. Published by O’Reilly Media, it covers a range of subjects including Web Services, Data Modeling, Desktop Applications, Data Warehousing, Data Processing, and Data Mining. This 2nd edition book, set to be released in 2026, provides insights into designing data-intensive applications for adult education and further study. It is a comprehensive resource for students and professionals looking to enhance their understanding of building reliable and scalable systems.