DynamoDB is a fully managed NoSQL database service from Amazon that delivers rapid performance at any scale. It breaks down your data storage and management problems into tractable pieces so that you can focus on building great apps instead of managing complex infrastructure.
Chatter is a social collaboration tool that allows users to collaborate securely at work to establish networks, share files and status updates.
Chatter IntegrationsAmazon DynamoDB + Chatter
New Post in Feed Action in Chatter when New Table is created in Amazon DynamoDB Read More...Amazon DynamoDB + Chatter
New Post in Feed Action in Chatter when New Item is created in Amazon DynamoDB Read More...Chatter + Amazon DynamoDB
Create Item to Amazon DynamoDB from New Topic in Chatter Read More...Chatter + Amazon DynamoDB
Create Item to Amazon DynamoDB from New Group in Chatter Read More...Chatter + Amazon DynamoDB
Create Item to Amazon DynamoDB from New Post about Topic in Chatter Read More...It's easy to connect Amazon DynamoDB + Chatter without coding knowledge. Start creating your own business flow.
Trigger when new item created in table.
Trigger when new table created.
Triggers when a new group is created.
Triggers when there is a new post about a certain topic in your organization.
Triggers when any new post occurs in your Chatter Feed.
Triggers when a new topic is created.
Creates new item in table.
Create a new post in your Chatter feed.
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(2 minutes)
Amazon DynamoDB is a web service that provides scalable, low-latency performance with no configuration. It is fully managed and requires no setup or administration, and it has a pay-as-you-go pricing model.
Amazon DynamoDB is a fully managed NoSQL database service that delivers fast and predictable performance with seamless scalability. It is easy to use and offers query capabilities with server-side caching, making it simple to scale up when your application requires more throughput. Amazon DynamoDB supports both document and key-value storage models, so you can choose the one that best fits your application requirements.Amazon DynamoDB's primary data model is based on tables, which are collections of items. A table is defined by its primary key, which serves as an identifier for each item in the table. You can think of a table as a logical container for related items. For example, an online bookseller could create a table named Books that contains information about the books available for sale, including their prices and the categories they belong to. You can use different types of indexes to provide quick access to this information. A global secondary index lets you query all of the items within a single table using a single value. A local secondary index lets you query items within a single partition using multiple attributes. You can also create hash and range indexes to look up specific items within a single partition quickly.In addition to supporting basic CRUD (create, read, update, delete. operations on items in a table, you can also employ conditional writes to streamline your application's data management logic. For example, suppose you want to ensure that any new item added to your table has been approved by the appropriate department before adding it to the database. With conditional writes, you can first check whether the item meets certain criteria (in this case, approval by a department manager), and then either add or reject the item depending on what the criteria are.
Chatter is a social networking platform for organizations. It allows users to connect through the cloud with other people inside of an organization. It allows users to connect their Facebook and Twitter accounts to link them to their company profile, post updates and photos to share with co-workers and friends, discover what people like in common with team members and friends, share files and collaborate on documents, schedule meetings and events, start groups with topic conversations, and follow topics of interest.
B. What is Integration of Amazon DynamoDB and Chatter?Integration of Amazon DynamoDB and Chatter can be used in various applications such as:
3. An online chat service may want to store messages from their users in a persistent layer. The messages could be text messages, voice messages, pictures or videos sent from users' phones or computers or web sites interacting with their server. Because the chat service wants to store many types of messages from numerous users while still allowing for fast access, they may choose Amazon DynamoDB because it can support both document and key-value storage models so they can easily store any type of message without having separate databases for each type of message.C. Benefits of Integration of Amazon DynamoDB and Chatter
There are benefits of integration of Amazon DynamoDB and Chatter:
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