Build data-driven apps with real-time and offline capabilities
AWS AppSync makes it easy to build data-driven mobile and browser-based apps that deliver responsive, collaborative experiences by keeping the data updated when devices are connected, enabling the app to use local data when offline, and synchronizing the data when the devices reconnect. AWS AppSync uses the open standard GraphQL query language so you can request, change, and subscribe to the exact data you need with just a few lines of code.
Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We’re showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.
Although structured data remains the backbone for many data platforms, increasingly unstructured or semistructured data is used to enrich existing information or to create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in comma-separated value (CSV) or Apache Parquet files, data extracted from log files using regular expressions, and JSON-formatted data. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Amazon Redshift suggests to define primary key or foreign key constraint wherever applicable. But they are information only. Redshift does not enforce these constraints. In other words, a column with primary key accepts duplicate values as well as a foreign key column also allows such a value that does not exists in the referenced table. So why does Redshift consider defining primary or foreign key as their best practice list? Because query optimizer uses them to choose the most suitable execution plan. But you need to be very careful while defining these constraint in your table. Let us see why with some real-life example.