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Software Architecture for Big Data and the Cloud

2017-06-12 Computers
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Release : 2017-06-12
Genre : Computers
Kind : eBook
Book Rating : 382/5 ( reviews)

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Book Synopsis Software Architecture for Big Data and the Cloud by : Ivan Mistrik

Download or read book Software Architecture for Big Data and the Cloud written by Ivan Mistrik. This book was released on 2017-06-12. Available in PDF, EPUB and Kindle. Book excerpt: Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data

Big Data Application Architecture Q&A

2014-01-24 Computers
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Release : 2014-01-24
Genre : Computers
Kind : eBook
Book Rating : 931/5 ( reviews)

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Book Synopsis Big Data Application Architecture Q&A by : Nitin Sawant

Download or read book Big Data Application Architecture Q&A written by Nitin Sawant. This book was released on 2014-01-24. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power of new big data opportunities which various enterprises use to attain real-time profits. Big Data Application Architecture Pattern Recipes answers one of the most critical questions of this time 'how do you select the best end-to-end architecture to solve your big data problem?'. The book deals with various mission critical problems encountered by solution architects, consultants, and software architects while dealing with the myriad options available for implementing a typical solution, trying to extract insight from huge volumes of data in real–time and across multiple relational and non-relational data types for clients from industries like retail, telecommunication, banking, and insurance. The patterns in this book provide the strong architectural foundation required to launch your next big data application. The architectures for realizing these opportunities are based on relatively less expensive and heterogeneous infrastructures compared to the traditional monolithic and hugely expensive options that exist currently. This book describes and evaluates the benefits of heterogeneity which brings with it multiple options of solving the same problem, evaluation of trade-offs and validation of 'fitness-for-purpose' of the solution.

Big Data Architect’s Handbook

2018-06-21 Computers
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Release : 2018-06-21
Genre : Computers
Kind : eBook
Book Rating : 383/5 ( reviews)

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Book Synopsis Big Data Architect’s Handbook by : Syed Muhammad Fahad Akhtar

Download or read book Big Data Architect’s Handbook written by Syed Muhammad Fahad Akhtar. This book was released on 2018-06-21. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book Description The big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights. Big Data Architect’s Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data solution. By the end of this book, you will be able to build your own design system which integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action. What you will learn Learn Hadoop Ecosystem and Apache projects Understand, compare NoSQL database and essential software architecture Cloud infrastructure design considerations for big data Explore application scenario of big data tools for daily activities Learn to analyze and visualize results to uncover valuable insights Build and run a big data application with sample code from end to end Apply Machine Learning and AI to perform big data intelligence Practice the daily activities performed by big data architects Who this book is for Big Data Architect’s Handbook is for you if you are an aspiring data professional, developer, or IT enthusiast who aims to be an all-round architect in big data. This book is your one-stop solution to enhance your knowledge and carry out easy to complex activities required to become a big data architect.

Multi-Cloud for Architects

2019-01-31
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Release : 2019-01-31
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Kind : eBook
Book Rating : 766/5 ( reviews)

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Book Synopsis Multi-Cloud for Architects by : FLORIAN. KLEIN KLAFFENBACH (MARKUS. SUNDARESAN, SURESH.)

Download or read book Multi-Cloud for Architects written by FLORIAN. KLEIN KLAFFENBACH (MARKUS. SUNDARESAN, SURESH.). This book was released on 2019-01-31. Available in PDF, EPUB and Kindle. Book excerpt: Your one-stop guide to work with multiple cloud service providers Key Features A practical step-by-step guide that will teach you to architect effective Cloud computing solutions and services efficiently You will learn the key differences in both platforms and how you can interconnect them to each other Eliminate the pain-points of architecting, interconnect and managing multi-cloud services and solutions. Book Description With the passing of time and with technology evolving, organizations all around the globe, from small- to medium-sized enterprises through to companies that are fully equipped, have started migrating or adapting to cloud computing. If you are looking at adapting entirely to any cloud and its services, this book will be your go-to guide to find perfect solutions, irrespective of the size of your infrastructure. This book will teach you effective solutions for overcoming various implementation scenarios. Our book covers two major cloud platforms (AWS and Azure) and provides practical use cases. You will start by designing the building blocks for infrastructure solutions that will involve core cloud platform services, such as compute, networking, storage, and identity, through various cloud providers. You will be able to plan and design solutions across major cloud providers and streamline interconnections and identities. Finally, you will understand the differences between, and the behavior of, both platforms, and you will be able to plan interconnects and identities for single-instance management. By the end of this book, you will know everything you need in order to be able to architect a multi-cloud solution for your organization. What you will learn Get to grips with different cloud offerings according to service and availability model Choose your cloud model, depending on real-world requirements Become familiar with interconnecting and designing multi-cloud solutions according to network, identity, and application Interconnect major cloud providers and frameworks, such as Microsoft Azure/Azure Stack, and AWS, and manage hosting solutions Resolve key show stoppers in a multi-cloud environment Familiarize yourself with example architectures based on real-world projects and solutions Who this book is for If you are a Cloud Architect, Solutions architect, system/network administrator, or a DevOps engineers aware of Cloud solutions and keen to successfully architect them to your organization then, this book is for you.

Software Engineering in IoT, Big Data, Cloud and Mobile Computing

2020-12-26 Computers
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Release : 2020-12-26
Genre : Computers
Kind : eBook
Book Rating : 730/5 ( reviews)

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Book Synopsis Software Engineering in IoT, Big Data, Cloud and Mobile Computing by : Haengkon Kim

Download or read book Software Engineering in IoT, Big Data, Cloud and Mobile Computing written by Haengkon Kim. This book was released on 2020-12-26. Available in PDF, EPUB and Kindle. Book excerpt: This edited book presents scientific results of the International Semi-Virtual Workshop on Software Engineering in IoT, Big data, Cloud and Mobile Computing (SE-ICBM 2020) which was held on October 15, 2020, at Soongsil University, Seoul, Korea. The aim of this workshop was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The workshop organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 17 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

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