The Pennsylvania Anthracite Coal Industry, 1860-1902 [Paperback] Healey, Richar
Has a sturdy binding with some shelf wear. May have light markings on pages. Former library copy.
The Cambridge Handbook of English Historical Linguistics (Cambridge Handbooks in
The Cambridge Handbook of English Historical Linguistics (Cambridge Handbooks in Language and Linguistics). Title : The Cambridge Handbook of English Historical Linguistics (Cambridge Handbooks in Language and Linguistics).
VB & VBA in a Nutshell The Language Paul Lomax O’Reilly Visual Basic VBA
VB & VBA in a Nutshell: The Language by Paul Lomax. Very good used condition with light shelf wear. Pages are clean and unmarked throughout, and the binding is sound and secure.
VB & VBA in a Nutshell: The Language: The Language (In a Nutshell (O’Reilly)), L
About New Legacy Books. Condition : Very Good.
Social Psychology by Kassin, Saul M. Hardback Book The Fast Free Shipping
Author:Kassin, Saul M. Book Binding:Hardback. All of our paper waste is recycled within the UK and turned into corrugated cardboard. World of Books USA was founded in 2005. Book Condition:VERYGOOD.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable,
Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. What are the right choices for your application?. How do you make sense of all these buzzwords?.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. What are the right choices for your application?. How do you make sense of all these buzzwords?.
Martin Kleppmann Chris Ri Designing Data-Intensive Appli (Paperback) (UK IMPORT)
You’ll be guided through the maze of decisions and trade-offs involved in building a modern data system, from choosing the right tools like Spark and Flink to understanding the intricacies of data laws like the GDPR.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. What are the right choices for your application?.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable,…
Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. What are the right choices for your application?.