Skip to content 
el cat en
База данных: ELS EBSCO eBook
Page 1, Results: 2
Отмеченные записи: 0
1.
Подробнее
T 30
Technology road mapping for quantum computing and engineering / / Brojo Mishra, editor. - Hershey PA : : Engineering Science Reference,, [2022]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4BA681EC-07AD-4E9F-93A6-DB7D181D23AD. - ISBN 9781799891857 (ebook). - ISBN 1799891852 (ebook). - ISBN 9781799891864 (electronic bk.). - ISBN 1799891860 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Technology road mapping for quantum computing and engineering. - Hershey PA : Engineering Science Reference, [2022]. - ISBN 9781799891833
Содержание:
An introductory study to quantum programming / Ankur Biswas, Amartya Chakraborty, Stobak Dutta, Anirban Mitra, Brojo Mishra -- Quantum software engineering and technology / Subramaniam Meenakshi Sundaram, Tejaswini Murgod -- Introduction and beginners guide to quantum computing : introduction to quantum computing / Poornima Nedunchezhian, Rajkumar Rajasekaran -- Tunable attenuator based on hybrid metal-graphene structure on SSPP Waveguide / Aymen Hlali -- A review on applications of quantum computing in machine learning / Subrata Paul, Anirban Mitra -- A taxonomy of quantum computing algorithms : advancements and anticipations / Lopamudra Hota, Prasant Dash -- Tunable attenuator based on hybrid metal-graphene structure on spoof surface plasmon polaritons waveguide / Aymen Hlali, Hassen Zairi -- Tunable attenuator based on metal and graphene structure on SSPP Waveguide / Aymen Hlali -- Recent developments in quantum computing and its challenges / R nagarajan, Kannadhasan S, Kanagaraj Venusamy -- Simulation of bloch sphere for a single qubit / Harsha Garine, Atul Mishra, Anubhav Agarwal.
~РУБ DDC 006.3/843
Рубрики: Quantum computing.
Quantum computers.
Computer engineering.
Computer programming.
Informatique quantique.
Ordinateurs quantiques.
Ordinateurs--Conception et construction.
Programmation (Informatique)
computer programming.
Computer engineering.
Computer programming.
Quantum computers.
Quantum computing.
Аннотация: "The aim of the book is to publish in all the aspects of quantum computing concepts, engineering, technologies, operations, and applications from basics to future advances"--
Доп.точки доступа:
Mishra, Brojo Kishore, (1979-) \editor.\
T 30
Technology road mapping for quantum computing and engineering / / Brojo Mishra, editor. - Hershey PA : : Engineering Science Reference,, [2022]. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4BA681EC-07AD-4E9F-93A6-DB7D181D23AD. - ISBN 9781799891857 (ebook). - ISBN 1799891852 (ebook). - ISBN 9781799891864 (electronic bk.). - ISBN 1799891860 (electronic bk.)
Description based on print version record and CIP data provided by publisher; resource not viewed.
Параллельные издания: Print version: : Technology road mapping for quantum computing and engineering. - Hershey PA : Engineering Science Reference, [2022]. - ISBN 9781799891833
Содержание:
An introductory study to quantum programming / Ankur Biswas, Amartya Chakraborty, Stobak Dutta, Anirban Mitra, Brojo Mishra -- Quantum software engineering and technology / Subramaniam Meenakshi Sundaram, Tejaswini Murgod -- Introduction and beginners guide to quantum computing : introduction to quantum computing / Poornima Nedunchezhian, Rajkumar Rajasekaran -- Tunable attenuator based on hybrid metal-graphene structure on SSPP Waveguide / Aymen Hlali -- A review on applications of quantum computing in machine learning / Subrata Paul, Anirban Mitra -- A taxonomy of quantum computing algorithms : advancements and anticipations / Lopamudra Hota, Prasant Dash -- Tunable attenuator based on hybrid metal-graphene structure on spoof surface plasmon polaritons waveguide / Aymen Hlali, Hassen Zairi -- Tunable attenuator based on metal and graphene structure on SSPP Waveguide / Aymen Hlali -- Recent developments in quantum computing and its challenges / R nagarajan, Kannadhasan S, Kanagaraj Venusamy -- Simulation of bloch sphere for a single qubit / Harsha Garine, Atul Mishra, Anubhav Agarwal.
Рубрики: Quantum computing.
Quantum computers.
Computer engineering.
Computer programming.
Informatique quantique.
Ordinateurs quantiques.
Ordinateurs--Conception et construction.
Programmation (Informatique)
computer programming.
Computer engineering.
Computer programming.
Quantum computers.
Quantum computing.
Аннотация: "The aim of the book is to publish in all the aspects of quantum computing concepts, engineering, technologies, operations, and applications from basics to future advances"--
Доп.точки доступа:
Mishra, Brojo Kishore, (1979-) \editor.\
2.
Подробнее
W 65
Widjaja, Adi,.
Data engineering with Google Cloud Platform : : a practical guide to operationalizing scalable data analytics systems on GCP / / Adi Widjaja. - Birmingham : : Packt Publishing,, 2022. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/8F1FC074-4A68-497E-94E4-63F8B79DCB25. - ISBN 1800565062. - ISBN 9781800565067 (electronic bk.)
Print on demand edition. Description based on CIP data; resource not viewed.
Параллельные издания: Print version: :
~РУБ DDC 005.7
Рубрики: Big data.
Cloud computing.
Web services.
Computer organization.
Données volumineuses.
Infonuagique.
Services Web.
Ordinateurs--Conception et construction.
Big data.
Cloud computing.
Computer organization.
Web services.
Аннотация: Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineer Key Features Understand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solution Learn how to use the various GCP products to ingest, consume, and transform data and orchestrate pipelines Discover tips to prepare for and pass the Professional Data Engineer exam Book Description With this book, you'll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards. Starting with a quick overview of the fundamental concepts of data engineering, you'll learn the various responsibilities of a data engineer and how GCP plays a vital role in fulfilling those responsibilities. As you progress through the chapters, you'll be able to leverage GCP products to build a sample data warehouse using Cloud Storage and BigQuery and a data lake using Dataproc. The book gradually takes you through operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. You'll learn how to design IAM for data governance, deploy ML pipelines with the Vertex AI, leverage pre-built GCP models as a service, and visualize data with Google Data Studio to build compelling reports. Finally, you'll find tips on how to boost your career as a data engineer, take the Professional Data Engineer certification exam, and get ready to become an expert in data engineering with GCP. By the end of this data engineering book, you'll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP. What you will learn Load data into BigQuery and materialize its output for downstream consumption Build data pipeline orchestration using Cloud Composer Develop Airflow jobs to orchestrate and automate a data warehouse Build a Hadoop data lake, create ephemeral clusters, and run jobs on the Dataproc cluster Leverage Pub/Sub for messaging and ingestion for event-driven systems Use Dataflow to perform ETL on streaming data Unlock the power of your data with Data Studio Calculate the GCP cost estimation for your end-to-end data solutions Who this book is for This book is for data engineers, data analysts, and anyone looking to design and manage data processing pipelines using GCP. You'll find this book useful if you are preparing to take Google's Professional Data Engineer exam. Beginner-level understanding of data science, the Python programming language, and Linux commands is necessary. A basic understanding of data processing and cloud computing, in general, will help you make the most out of this book.
W 65
Widjaja, Adi,.
Data engineering with Google Cloud Platform : : a practical guide to operationalizing scalable data analytics systems on GCP / / Adi Widjaja. - Birmingham : : Packt Publishing,, 2022. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/8F1FC074-4A68-497E-94E4-63F8B79DCB25. - ISBN 1800565062. - ISBN 9781800565067 (electronic bk.)
Print on demand edition. Description based on CIP data; resource not viewed.
Параллельные издания: Print version: :
Рубрики: Big data.
Cloud computing.
Web services.
Computer organization.
Données volumineuses.
Infonuagique.
Services Web.
Ordinateurs--Conception et construction.
Big data.
Cloud computing.
Computer organization.
Web services.
Аннотация: Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineer Key Features Understand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solution Learn how to use the various GCP products to ingest, consume, and transform data and orchestrate pipelines Discover tips to prepare for and pass the Professional Data Engineer exam Book Description With this book, you'll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards. Starting with a quick overview of the fundamental concepts of data engineering, you'll learn the various responsibilities of a data engineer and how GCP plays a vital role in fulfilling those responsibilities. As you progress through the chapters, you'll be able to leverage GCP products to build a sample data warehouse using Cloud Storage and BigQuery and a data lake using Dataproc. The book gradually takes you through operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. You'll learn how to design IAM for data governance, deploy ML pipelines with the Vertex AI, leverage pre-built GCP models as a service, and visualize data with Google Data Studio to build compelling reports. Finally, you'll find tips on how to boost your career as a data engineer, take the Professional Data Engineer certification exam, and get ready to become an expert in data engineering with GCP. By the end of this data engineering book, you'll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP. What you will learn Load data into BigQuery and materialize its output for downstream consumption Build data pipeline orchestration using Cloud Composer Develop Airflow jobs to orchestrate and automate a data warehouse Build a Hadoop data lake, create ephemeral clusters, and run jobs on the Dataproc cluster Leverage Pub/Sub for messaging and ingestion for event-driven systems Use Dataflow to perform ETL on streaming data Unlock the power of your data with Data Studio Calculate the GCP cost estimation for your end-to-end data solutions Who this book is for This book is for data engineers, data analysts, and anyone looking to design and manage data processing pipelines using GCP. You'll find this book useful if you are preparing to take Google's Professional Data Engineer exam. Beginner-level understanding of data science, the Python programming language, and Linux commands is necessary. A basic understanding of data processing and cloud computing, in general, will help you make the most out of this book.
Page 1, Results: 2