A comprehensive text with a mix of positive and negative feedback. Readers appreciate the detailed content on distributed systems and architecture, making it a valuable resource for beginners and experienced professionals alike. However, some reviewers highlighted issues with book quality, missing pages, and repetitive content. Despite these shortcomings, the book provides valuable insights into data technologies and system design, enhancing understanding of modern applications. Recommendations include better quality control for physical books and clearer product descriptions.
Source: Amazon Product Reviews of Designing Data-Intensive Applications:Starting from $18, you can purchase the complete report, offering advanced filters, buyer personas, and SWOT analysis, with Excel, PDF and PowerPoint exports.
Explore insights from our analysis on 'Designing Data-Intensive Applications' book feedback focusing on content and book quality.
Super detailed yet also high leveled. Abstract but concrete. Easy enough for a layman to understand and a developer to implement. This is the standard for technology writing.
Content of the book itself is excellent, however seller sent me a fake version of original. Physical bookâs quality is veru poory with darker pages and distorted words and images.
Book is great. Only complaint is the author's choice of using Bill Gates to illustrate a relational database. Of all the people to select, why pick the creepy weirdo Bill Gates. And the example has a picture of him smiling at you like a creeper. Otherwise, good info on the topic.
The book is great but the physical book has poor quality, and looks old. you better buy the book on ebay, will be much cheaper and same quality.
I went through lots of books around distributed system and architecture, and this one is the only one I would recommend. It's just technically, down to earth, full of important and useful things to know and understand.
It was selled as new but the book has clear signs of being used before. It is still in good shape, but doesn't seem fair to sell something as new when it isn't.
Have the complete report in your inbox with Excel, PDF and PowerPoint attachments. Need to play with the data? Enjoy our lightning-fast dashboard for further analysis.
One-time purchase without hidden or recurring costs!Every purchase starts a new scraping process, so you can have a report containing the analysis of the most recent reviews. It's fast, it's easy, and it brings you the most valuable form of customer feedback.
This page displays purchase options and a preview of the customer feedback analysis report for Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable based on online reviews collected from Amazon. The analysis helps Software Engineers, Data Scientists, System Architects, Product Managers, Technical Program Managers to discover insights into what people love, dislike, and need.
This report contains qualitative analysis with Net Promoter Score, Sentiment Analysis, content classification, most popular phrases, languages and a trend graph to display how the context changes over time. After purchasing the report, you can search in customer feedback and filter results based on classification labels and popular phrases. Also, the analysis is available in PDF and PowerPoint formats, and all the reviews are available in Excel.
Yes, this page is publicly available for everyone on the internet to see. You can copy and share this link with a friend, college or on social media.
Yes, you can, and this is the fun part about Kimola! Kimola turns customer feedback into market research by analyzing online reviews from various sources.
Yes, you can have this research report analyzed with more reviews. The page you are viewing displays a limited preview with the analysis of 30 recent reviews. Starting from $18, you can buy the complete version of this research report containing all reviews. Click here to see the purchase options.
We would like to clarify that this product is not created by Amazon and is not associated with or supported by Amazon in any way.
As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to Amazon's terms of use, including copyright regulations, when utilizing the extracted review data.