COMP08164 2019 Cloud Computing

The module cloud computing will introduce the learner to the domain of cloud computing, architecting for a cloud environment and evaluating appropriate cloud services. 

This module may also allow the learner the opportunity to undertake certification with a public cloud provider.

Over 90 hands-on recipes to design Internet scalable web and mobile applications with Amazon DynamoDB About This Book * Construct top-notch mobile and web applications with the Internet scalable NoSQL database and host it on cloud * Integrate your applications with other AWS services like AWS EMR, AWS S3, AWS Redshift, and AWS CloudSearch etc. in order to achieve a one-stop application stack * Step-by-step implementation guide that provides real-world use with hands-on recipes Who This Book Is For This book is intended for those who have a basic understanding of AWS services and want to take their knowledge to the next level by getting their hands dirty with coding recipes in DynamoDB. What You Will Learn * Design DynamoDB tables to achieve high read and write throughput * Discover best practices like caching, exponential back-offs and auto-retries, storing large items in AWS S3, storing compressed data etc. * Effectively use DynamoDB Local in order to make your development smooth and cost effective * Implement cost effective best practices to reduce the burden of DynamoDB charges * Create and maintain secondary indexes to support improved data access * Integrate various other AWS services like AWS EMR, AWS CloudSearch, AWS Pipeline etc. with DynamoDB In Detail AWS DynamoDB is an excellent example of a production-ready NoSQL database. In recent years, DynamoDB has been able to attract many customers because of its features like high-availability, reliability and infinite scalability. DynamoDB can be easily integrated with massive data crunching tools like Hadoop /EMR, which is an essential part of this data-driven world and hence it is widely accepted. The cost and time-efficient design makes DynamoDB stand out amongst its peers. The design of DynamoDB is so neat and clean that it has inspired many NoSQL databases to simply follow it. This book will get your hands on some engineering best practices DynamoDB engineers use, which can be used in your day-to-day

"This text should be required reading for everyone in contemporary business." --Peter Woodhull, CEO, Modus21 "The one book that clearly describes and links Big Data concepts to business utility." --Dr. Christopher Starr, PhD "Simply, this is the best Big Data book on the market!" --Sam Rostam, Cascadian IT Group "...one of the most contemporary approaches I've seen to Big Data fundamentals..." --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. * Discovering Big Data's fundamental concepts and what makes it different from previous forms of data analysis and data science* Understanding the business motivations and drivers behind Big Data adoption, from operational improvements through innovation* Planning strategic, business-driven Big Data initiatives* Addressing considerations such as data management, governance, and security* Recognizing the 5 "V" characteristics of datasets in Big Data environments: volume, velocity, variety, veracity, and value* Clarifying Big Data's relationships with OLTP, OLAP, ETL, data warehouses, and data marts* Working with Big Data in structured, unstructured, semi-structured, and metadata formats* Increasing value by integrating Big Data resources with corporate performance monitoring* Understanding how Big Data leverages distributed and para

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