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Development Discover how cloud computing development platforms let you fire up and test the upper limits of an application in minutes and shut it down just as fast. This section covers all the latest information on developing apps in the cloud, test and development in the cloud, technical advice on writing code in the cloud, cloud APIs and platform as a service. This topic covers Microsoft Windows Azure, workflow for development in the cloud, AWS, EC2, Google App Engine, application performance testing in the cloud, Hadoop, open source cloud and Eucalyptus.

TeamCity can put Build Agents on Amazon EC2, while SparkBuild offers intelligent build avoidance to reduce build time

Many AWS customers demand a data storage and processing option that is more agile and flexible than conventional systems for handling data. A data lake is a modern and growing method of storing and data analysis because it enables businesses to handle many data types from various sources and save this information, organized and unorganized, in a centralized database. A lot of the building blocks needed to help businesses establish a safe, adaptable, and cost-effective data lake are available on the AWS Cloud. These comprise AWS managed services for ingesting, storing, finding, processing, and evaluating data that is both structured and unstructured. AWS provides Data Lake on AWS, which provides a highly available, cost-effective data lake infrastructure on the AWS Cloud together with a user-friendly User experience for searching and requesting datasets, to assist customers who develop data lakes.

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