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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
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Disclaimer Shroff Publishers do not endorse the preview pages of kindle linked to our ISBNs. All Indian Reprints of O'Reilly are Printed in Grayscale. Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What are the right choices for your application? How do you make sense of all these buzzwords? In this second edition, authors Martin Kleppmann and Chris Riccomini build on the foundation laid in the acclaimed first edition, integrating new technologies and emerging trends. You'll be guided through the maze of decisions and trade-offs involved in building a modern data system, learn how to choose the right tools for your needs, and understand the fundamentals of distributed systems. Peer under the hood of the systems you already use, and learn to use them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Learn how major cloud services are designed for scalability, fault tolerance, and consistency Understand the core principles upon which modern databases are built

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Brand NameSPD
ManufacturerShroff/O'Reilly
Item TypeDatabases & Big Data · Books
Shipping Weight1.08 kg
Package Dimensions22.9 × 17.8 × 3.4 cm
CategoryBooks › Computers & Internet › Databases & Big Data
Category Rank#369 in Books
Marketplace Rating4.2 out of 5 (252 ratings on the source marketplace)
EAN9789368089049

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, 2nd Edition (Greyscale Indian Reprint)

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