AUDIOBOOK
About
One of the core things the firms require to innovate, grow, and make decisions within the digital economy is data. Managing this, however, has been a complex task that's not only technological but also strategic vision combined with great understanding concepts in databases. Written to help readers with the complexities in database systems with wise, major decisions, this book, "Choosing the Right Database Management Strategy: Behind the Scenes of Data: Principles and Practices of Database Management " has been authored for a purpose.
From new trends to database models and the optimization strategies that are current trends, this book mentions some of the fundamental ideas related to database administration. The reader will clearly get the point in relational and NoSQL databases, as well as hybrid systems that take advantage of both methodologies. Useful frameworks are also available regarding performance optimization, data integrity assurance, and selection of storage strategies.
Organized into five exhaustive parts, following a step-by-step methodology, this book would appeal to every kind of skill level. However, while such mature professionals are going to tackle topics like scalability, distributed systems, and storage in the cloud, beginners get their basic concepts defined concisely.
This book has something unique- the fusion between theory and practice. It's because it harmoniously fuses practical examples to informative information equipped for the precise challenge that's required to overcome a specific reader's data-setting settings. Through this book, you will gather information that should allow you fully exploit your data as a student, data professional, or enthusiast.
From new trends to database models and the optimization strategies that are current trends, this book mentions some of the fundamental ideas related to database administration. The reader will clearly get the point in relational and NoSQL databases, as well as hybrid systems that take advantage of both methodologies. Useful frameworks are also available regarding performance optimization, data integrity assurance, and selection of storage strategies.
Organized into five exhaustive parts, following a step-by-step methodology, this book would appeal to every kind of skill level. However, while such mature professionals are going to tackle topics like scalability, distributed systems, and storage in the cloud, beginners get their basic concepts defined concisely.
This book has something unique- the fusion between theory and practice. It's because it harmoniously fuses practical examples to informative information equipped for the precise challenge that's required to overcome a specific reader's data-setting settings. Through this book, you will gather information that should allow you fully exploit your data as a student, data professional, or enthusiast.