by
John, Ryan, author.
Call Number
005.1 23
Publication Date
2021
Summary
Canvas is an online learning management system (LMS) and one of the most powerful teaching tools that educational institutions worldwide have adopted thanks to its streamlined functionality, intuitive user interface, and robust features. This revised second edition of Canvas LMS Course Design will show you how to design, create, and teach engaging classes in online, hybrid, or fusion settings using the Canvas LMS. The book will guide you through the steps of setting up your Canvas account, creating activities and assignments, designing and customizing the course layout, and teaching your course. Whether you're using an institutional or Free-for-Teacher account, you'll be able to use Canvas for grading, feedback, and communication with and between students. As you progress, you'll learn how to integrate external apps and services with Canvas. Finally, the book features an exclusive section detailing how you can use Canvas' built-in resources as well as other resources to tackle challenges while working with the LMS. Throughout, this book will give you the technical knowledge you need to create unique learning experiences for students. By the end of this Canvas LMS Course Design, you'll be able to successfully teach online with the help of logical descriptions and step-by-step screenshots that clearly explain how to build a phenomenal course.
Format:
Electronic Resources
Relevance:
44825.0000
by
Ahmad Osama, Osama
Call Number
005.758 23
Publication Date
2021
Summary
Whether it is learning different techniques to monitor and tune an Azure SQL database or improving performance using in-memory technology, this book will enable you to make the most out of Azure SQL database features and functionality for data management solutions.
Format:
Electronic Resources
Relevance:
1.9609
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by
Osama, Ahmad.
Call Number
005.758 23
Publication Date
2019
Summary
This book is your one-stop solution to learning all that is needed to migrate a traditional on-premise SQL server database to a cloud-based solution with Microsoft Azure. Built with database administrators in mind, this book emulates different scenarios you might come across while working with large, complex SQL database migrations and ...
Format:
Electronic Resources
Relevance:
1.9351
by
Osama, Ahmad.
Call Number
004.6782 23
Publication Date
2021
Summary
Over 90 recipes to help you orchestrate modern ETL/ELT workflows and perform analytics using Azure services more easily Key Features Build highly efficient ETL pipelines using the Microsoft Azure Data services Create and execute real-time processing solutions using Azure Databricks, Azure Stream Analytics, and Azure Data Explorer Design and execute batch processing solutions using Azure Data Factory Book DescriptionData engineering is one of the faster growing job areas as Data Engineers are the ones who ensure that the data is extracted, provisioned and the data is of the highest quality for data analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis. It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. You'll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, you'll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. You’ll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, you'll learn how to process streaming data using Azure Stream Analytics and Data Explorer. By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure. What you will learn Use Azure Blob storage for storing large amounts of unstructured data Perform CRUD operations on the Cosmos Table API Implement elastic pools and business continuity with Azure SQL Database Ingest and analyze data using Azure Synapse Analytics Develop Data Factory data flows to extract data from multiple sources Manage, maintain, and secure Azure Data Factory pipelines Process streaming data using Azure Stream Analytics and Data Explorer Who this book is for This book is for Data Engineers, Database administrators, Database developers, and extract, load, transform (ETL) developers looking to build expertise in Azure Data engineering using a recipe-based approach. Technical architects and database architects with experience in designing data or ETL applications either on-premise or on any other cloud vendor who wants to learn Azure Data engineering concepts will also find this book useful. Prior knowledge of Azure fundamentals and data engineering concepts is needed.
Format:
Electronic Resources
Relevance:
1.8570
by
Krishnaswamy, Jayaram.
Call Number
005.7585 22
Publication Date
2010
Format:
Electronic Resources
Relevance:
1.5915
Call Number
658.872 23
Publication Date
2012
Format:
Electronic Resources
Relevance:
1.3613
by
Overton, David.
Call Number
004.6782 23
Publication Date
2012
Format:
Electronic Resources
Relevance:
1.3281
by
Chaganti, Prabhakar.
Call Number
005.74 22
Publication Date
2010
Format:
Electronic Resources
Relevance:
0.8760
by
Mitchell, Erik T., 1972-
Call Number
025.04 23
Publication Date
2013
Summary
By exploring specific examples of cloud computing and virtualization, this book allows libraries considering cloud computing to start their exploration of these systems with a more informed perspective.
Format:
Electronic Resources
Relevance:
0.8489
by
Dikmans, Lonneke.
Call Number
004.654
Publication Date
2012
Summary
"SOA Made Simple" is a concise and indispensable handbook for finally understanding exactly what Service Oriented Architecture is. Split into three clear sections, in this book you'll learn from both theory as well as step-by-step implementation examples to aid in your understanding of this often poorly- articulated industry term. If you are an architect who wants to be completely clear in your understanding of what SOA is, then this book is essential. In fact, anyone (designer, developer, administrator or team lead) who is implementing or about to implement an architecture in an IT environmen.
Format:
Electronic Resources
Relevance:
0.8416
by
Toraldo, Giovanni.
Call Number
004.6782 23
Publication Date
2012
Summary
This is a step-by-step practical guide to get you started easily with openNebula. It guides you to build, maintain, and configure your cloud infrastructure, providing real-world examples in a simple and coherent manner. If you are a GNU/Linux system administrator with no experience with virtualization or cloud computing but eager to learn about it, or you are thwarted by your current virtualized infrastructure, this book is for you. You are expected to have some basic knowledge of GNU/Linux, with knowledge of basic package management tools and system configuration.
Format:
Electronic Resources
Relevance:
0.0772
by
Carstensen, Jared.
Call Number
005.8
Publication Date
2012
Summary
Cloud Computing: Assessing the risks answers these questions and many more. Using jargon-free language and relevant examples, analogies and diagrams, it is an up-to-date, clear and comprehensive guide the security, governance, risk, and compliance elements of Cloud Computing.
Format:
Electronic Resources
Relevance:
0.0477
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