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Library items with class number 004.6782

Cloud computing solutions architect / Arshdeep Bahga

No review available on this record. Title : Cloud computing solutions architect : a hands-on approach, a competency-based textbook for universities and a guide for AWS cloud certification and beyond Material Type: printed text Authors: Arshdeep Bahga, Author Publisher: Self published, Arshdeep Bahga & Vijay Madisetti Publication Date: 2019 Pagination: 826 p. Layout: ill. Size: 26 cm ISBN (or other code): 978-1-949978-01-8 General note: Includes bibliographical references (p. 820-821) Includes index (p. 821-826) Languages : English (eng) Original Language : English (eng) Descriptors: Cloud computing Class number: 004.6782 Abstract: Cloud computing is a transformative paradigm that enables scalable, convenient, on-demand access to a shared pool of configurable computing and networking resources, for efficiently delivering applications and services over the Internet. Amazon Web Services (AWS), a leading provider of cloud platforms and services, defines a cloud solutions architect as one who can provide solution plans for the best architectural practices for cloud applications, can design and deploy highly scalable and fault-tolerant services, can assist in lifting legacy applications and shifting them to the cloud, and can identify and plan for data entry and exit from the cloud platform, choose suitable cloud services based on data, compute, and security requirements. Further, the cloud solutions architect also ensures that enterprise offerings conform to sound principles, such as AWS Well-Architected Framework (WAF) for cloud applications and services. Contents note: Concepts and technologies; Introduction to cloud computing; Virtual Machines & Compute Services; Cloud Application Development; Serverless Applications; Storage, analytics and security; Cloud Storage; Relational (SQL) Databases; NoSQL Databases; Big Data Analytics in the Cloud; Queues & Connectors; Batch Analytics; Real-time Analytics; Cloud App Monitoring & Benchmarking; Cloud Security; Other Cloud Services; AWS well-architected framework; AWS Wel Architected Framework; Applying the Operational Excellence Pillar; Applying the Security Pillar; Applying the Reliability Pillar; Applying the Performance Efficiency Pillar; Applying the Cost Optimization Pillar; Bibliography; Index; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=19535

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Barcode	Call number	Media type	Location	Section	Status
1702-002359	004.6782 Bah-Clo 2019	General Collection	Library "Max van der Stoel"	English	Available
1702-002217	004.6782 Bah-Clo 2019	General Collection	Library "Max van der Stoel"	English	Due for return by 04/22/2023

Fundamentals of data engineering / Joe Reis

No review available on this record. Title : Fundamentals of data engineering : plan and build robust data systems Material Type: printed text Authors: Joe Reis, Author Publisher: Sebastopol, Calif. : O'Reilly Publication Date: 2022 Pagination: xix, 423 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-1-09-810830-4 General note: Includes bibliographic references Includes index (p. 407-422) Languages : English (eng) Original Language : English (eng) Descriptors: Big data Data mining Database management Class number: 004.6782 Abstract: Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle Contents note: Foundation and building blocks : Data engineering described; The data engineering lifecycle; Desining good data architecture; Choosing technologies acrossthe data engineering lifecycle; The data engineering lifecycle in depth : Data generation in source systems; Storage; Ingestion; Queries, modeling and transformation; Serving datafor analytics, machine learning and reverse ETL; Security, privacy, and the future of the data engineering : Security and privacy; The future of data engineeringt; Index; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=22104

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Barcode	Call number	Media type	Location	Section	Status
1702-002522	004.6782 Rei-Fun 2022	General Collection	SEEU Library Skopje	English	Due for return by 06/09/2023
1702-002841	004.6782 Rei-Fun 2022	General Collection	SEEU Library Skopje	English	Available

Mastering cloud computing / Rajkumar Buyya

No review available on this record. Title : Mastering cloud computing : foundations and applications programming Material Type: printed text Authors: Rajkumar Buyya, Author ; Christian Vecchiola, Author ; S. Thamarai Selvi, Author Edition statement: 1st edition Publisher: Amsterdam : Morgan Kaufmann Publishers Publication Date: 2013 Pagination: xvi, 452 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-0-12-411454-8 General note: Includes bibliographical references (p. 429-437) Includes index (p. 438-452) Languages : English (eng) Original Language : English (eng) Descriptors: Cloud computing Computer sciences Class number: 004.6782 Abstract: Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won't live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout, and a live environment on the Aneka platform where you can experiment and test your work. Explains how to make design choices and trade offs to consider when building applications to run in a virtual cloud environment Test and experiment with a live cloud system on the Aneka platformReal-world case studies include scientific, business, and energy-efficiency considerations Download examples and instructor support materials on the book's companion page. Contents note: Introduction; Principles of Parallel and Distributed Computing; Virtualization; Cloud Computing Architecture; Aneka : Cloud application platform; Concurrent Computing : Thread programming; High-Throughput Computing : Task Programming; Data Intensive Computing: Map-Reduce Programming; Cloud Platforms in Industry; Cloud Applications; Advanced Topics in Cloud Computing; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=19026

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Barcode	Call number	Media type	Location	Section	Status
1702-002385	004.6782 Buy-Mas 2013	General Collection	Library "Max van der Stoel"	English	Due for return by 04/22/2023
1702-002384	004.6782 Buy-Mas 2013	General Collection	Library "Max van der Stoel"	English	Due for return by 08/15/2023