About Dundas BI
As a visually-focused business intelligence platform for enterprises, Dundas BI includes customizable dashboards, stunning visual analytics, and multi-age reports to present your data in a way that drives faster decisions. Through its customizable and interactive charts, maps, scorecards, gauges, and other features, Dundas BI offers fully open APIs and built-in functionality so users can finetune nearly every aspect of their visual presentations.
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 Dundas BI data to Amazon Redshift
Load your Dundas BI data to Google BigQuery
ETL all your Dundas BI data to Snowflake
Move your Dundas BI 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
Dundas BI's End Points
Dundas BI Customizable Dashboards
Dundas BI features real-time, self-service dashboards that measure vital performance and business metrics — so you can visualize, analyze, and understand information from different business systems on a single dashboard. The service allows you to build and customize your own dashboards with an easy, drag-and-drop interface for high-quality, professionally-designed presentations. More advanced users can also write scripts for more nuanced data requirements.
Dundas BI Data Visualizations
Dundas BI prides itself on offering powerful, flexible, customizable, and stunning data visualization features. When combined with the platform's built-in interactive dashboard features, Dundas BI's visualizations offer the ability to explore and interact with rich reports so you can drill into the exact details you want to understand.
Dundas BI Reporting Features
Dundas BI's reporting features empower the creation of multi-page and ad-hoc reports. The drag-and-drop functionality allows anyone to merge diverse data into a single report to create complex views of your information. In addition, automation tools let you preschedule the sharing of reports through email delivery, printing, and more.
Dundas BI Mobile Experience
Dundas BI is a 'mobile-first' platform that offers full compatibility with mobile devices through its use of HTML5. This allows you to design, interact with, and share Dundas BI dashboards, scorecards, and reports with either a desktop, laptop, or mobile device. Dundas BI even allows you to perform complex data analysis within your mobile device.
Dundas BI Analytics Tools
Dundas BI offers predictive data analytics, including real-time access to stunning visual analytics derived from your data. The analytics tools empower non-tech-savvy users to design, build, view, interact with, track, and share vital business metrics without any assistance from your tech team. Novice users can even set up data connectors, hierarchies, metrics, and make use of data cubes on a basic level.
Dundas BI Platform Compatibility
Whether you need to deploy Dundas BI on-premises or in the cloudDundas BI, the platform is compatible with the widest variety of IT standards. You can run Dundas BI under the protection of a firewall or on a public cloud solution like Amazon AWS, Google Cloud Platform, or Microsoft Azure. Compatible data sources include RDBMS and OLAP, Flat files, Web services, and more. Plus, the platform has a data cube layer that offers built-in ETL capabilities.
Dundas BI Integrations
Dundas BI's seamless data integration allows you to embed the solution into your web applications, software, and existing systems like Client Portals and CRM systems.
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.