Your connected device is constantly generating data.

Too many developers either overlook the value of this data, or spend an inordinate amount of time in application programming to harness it. You wouldn’t write your own GUI framework or roll your own OS, and similarly there is an off-the-shelf alternative for harnessing the potential of real-time data – dynamically monitoring and processing the incoming data stream, reacting, downsampling and storing

Invest 55 minutes to attend our Live Workshop, where you will practice and learn how to make the most of real-time data when developing your next data driven embedded IoT device.

Prerequisites

• Access to internet and required equipment to attend the session online
• Basic familiarity with C and C++ programming languages
• Familiarity with embedded and MCU/MPU devices characteristics
• You will receive an ITTIA DB evaluation license for the workshop if you wish to participate live

Attendees will be introduced to a global leading IoT data management platform to process and secure edge data. They will quickly be introduced to data management and data processing challenges and learn important options for countering them. They will learn how to:

• Silently embed an intelligent IoT data management platform to monitor, process, and manage embedded data
• Ingest data from multiple time series sources onto flash media at a high rate
• Minimize RAM, code, and storage media footprint
• Query from individual series and export from all series at once
• Store and secure data at the edge

Agenda

ITTIA provides a hybrid embedded database system with less administrative overhead and a small memory footprint but with robust features. ITTIA DB is suited for mission-critical embedded systems because to a number of characteristics. Our goal is to rapidly empower you to learn and experience both data processing and data management required for modern embedded systems.

First Section: How to Modernize Embedded Data Management Capabilities

• A dual hybrid time series database engine characteristic
• Process live IoT sensor data in real-time
• Advanced data analysis and management security features
• A typical use case study
• Major benefits of ITTIA DB for embedded platforms

Third Section: Remote Sensing, Preventive Maintenance, and Forecasting

• Design complex queries to concurrently process time-series data
• Monitor real-time data on STM32 (MCU) and i.MX8 (MPU)
• Manage throughput and latency to accelerate performance
• Use streams, time series, and tables to process data
• Build a streaming app on embedded systems

Enrollment

The workshop is free to attend – registration link above.