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Scalable Data Architecture with Java: Build efficient enterprise-grade data architecting solutions using Java, (Paperback)
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€ 58
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You'll be able to successfully orchestrate data architecture solutions using Java and related technologies as well as to evaluate and present the most suitable solution to your clients.
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What Stands Out
Produkto Aprašymas
- Learn how to adapt to the evolving data architecture technology landscape
- Understand how to choose the best technology, platform, and architecture for effective business value
- Implement effective data security and governance principles
- Explores data architecture responsibilities and various data formats, storage, databases, and application platforms
- Discusses batch and real-time data processing pipeline and Java data processing patterns
- Covers evaluating, recommending, and presenting architectural alternatives, and publishing Data as a Service
| Manual & guide type | Instruction Manual |
| Book format | Paperback |
| Edition | 1 |
| Skill level | Expert |
| Pages | 382 |
| Language | English |
| Brand | Sinchan Banerjee |
| Author | Packt Publishing |
| Subgenre | Data Science |
| Genre | Computing & Internet |
| Bisac subject heading | Computers |
| Series title | No Series |
| Dimensions | 7.50 x 0.79 x 9.25 in (19.1 x 2 x 23.5 cm) |
| Age group | Adult |
| Retail packaging | Single Piece |
| Original languages | English |
Who Should Buy?
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Java Developers
Java developers looking to enhance their skills in data architecture will find practical insights and methodologies in this book.
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Enterprise Architects
Enterprise architects seeking to design scalable data solutions will benefit from the comprehensive strategies and examples presented.
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Students and Learners
Students pursuing data management courses can gain valuable knowledge about scalable architectures using Java based on real-world applications.
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Beginners in Java
Those with no prior experience in Java may find the content overwhelming and challenging to grasp effectively.
PRODUKTO APRAŠYMAS
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Sinchan Banerjee Data Modeling & Design Books Editorial Review
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Savybės ir privalumai
- Learn to adapt to evolving data architecture technologies.
- Choose the best technology and architecture for business value.
- Implement data security and governance principles effectively.
- Understand various Java data processing patterns.
- Architect batch and real-time data processing pipelines.
- Evaluate, recommend, and present optimal architectural solutions.
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