Securely integrate Twilio with Amazon Kinesis
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.
About Amazon Kinesis
Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don’t allow real-time precision in decision-making because they can’t rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.
Popular Use Cases
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
Bring all your Amazon Kinesis data to Amazon Redshift
Load your Amazon Kinesis data to Google BigQuery
ETL all your Amazon Kinesis data to Snowflake
Move your Amazon Kinesis data to MySQL
Integrate Twilio With Amazon Kinesis Today
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Twilio's End Points
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.
Amazon Kinesis's End Points
Amazon Kinesis Video Streams
Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.
Amazon Kinesis Data Streams
By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.