HDFS is a Java-based file system that provides scalable and reliable data storage, and it was designed to span large clusters of commodity servers. HDFS has demonstrated production scalability of up to 200 PB of storage and a single cluster of 4500 servers, supporting close to a billion files and blocks.
Twilio offers scalable, cloud-based communications for web and mobile apps. This includes the ability for companies to call, SMS, chat, or video conference without having to create a communications infrastructure on their own. Further, Twilio can track tasks, evaluate worker performance and availability, and gather event data that can be used to create historical analytics reports.
Bring all your Twilio data to Amazon Redshift
Load your Twilio data to Google BigQuery
ETL all your Twilio data to Snowflake
Move your Twilio data to MySQL
Retrieve data about Twilio tasks that are part of your team’s workflow and filter those tasks using an array of fields including priority, assignment status and name. This data can be gathered from within Twilio or integrated from external sources and added to Twilio’s workflow.
Track each workspace event that occurs, including things like the creation of a new Twilio task, a worker being assigned to a task or a change in a worker’s activity status. You can use this data to both generate current analytics and store historical record data for future use.
Get data about your workers, including their activity, availability and relevant skills. This will help you both assign your workers the tasks that are most suited to their skill sets and ensure that those tasks are only assigned when workers are ready to tackle them.
Monitor a worker’s Twilio activity status and use it to determine whether or not to assign an open task to a specific worker.