#EASE DIAGNOSTICS CONNECT ANDROID#

also introduces support for the Google BigQuery Streaming API, optimizes integrating real-time change data into Snowflake and Azure Synapse, and adds support for Parquet in Cloud Data-Lake solutions. Key Features released in Striim 3.10.1 are directly available through Snowflake Partner Connect to enable rapid movement of enterprise data into Snowflake. PALO ALTO, CA вЂ“ JвЂ“ Striim, provider of an enterprise-grade platform for streaming cloud migration and cloud integration solutions, has introduced a broad set of enhancements to its on-premise and cloud marketplace offerings that adds additional cloud targets, provides more detailed visibility into on-going data movement, further enhances ease-of-use, and ensures on-going support for major enterprise data sources. Google BigQuery Streaming API, Now Includes Schema Conversion and End-To-End Lag Monitoring, G.Striim Version 3.10.1 Includes Expanded Support for Cloud Targets, Including Snowflake Partner Connect, and Geofencing, alerts for rash driving, engine errors and continuous idling Periodic scoring of the carвЂ™s performance and money saved based on fuel consumptionДЇ. Overview of car health and analysis of variation in driving patterns for preventive maintenanceД. The use of the OBD device and mobile apps helped the start-up company position its device and platform with the following benefits to its customer segments and end users:Д¬. The mobile app became the face of the companyвЂ™s IoT platform, from which the car owner and other business stakeholders get detailed reports of a vehicle to make critical decisions. The company brought its innovative ideas and product roadmap to the engagement while Vatsa backed them with its end-to-end product development expertise to craft a user-centric product. Mobile applications to connect carвЂ™s On-Board Diagnostics (OBD) device with backend IoT platform Data from these third party systems is also rendered alongside data from the carвЂ™s device for comparative study. The connected platform at the backend also collects data from third party systems to understand vehicle benchmarks such as average temperature or fuel consumption of a particular make and model etc. Vatsa designed the mobile appвЂ™s user interface in a way that the userвЂ™s interpretation of data was very easy and intuitive.

The data is processed by the app to show vehicle condition, engine status, fuel data and many more parameters before sending it to the server for recording and further analysis. The mobile applications connected with the OBD device over BLE (Bluetooth Low Energy) to pull data in real time. Vatsa collaborated with the companyвЂ™s hardware and microcontroller R&D teams to understand and implement the ELM327 command protocol for smooth and seamless communication between OBD device and the mobile app. The application development needed to be quick in order to meet stringent time-to-market requirements.

#EASE DIAGNOSTICS CONNECT ANDROID#

Vatsa developed iOS and Android mobile applications that connected to the OBD device on the one end, and the companyвЂ™s IoT platform on the other.

The company wanted to build robust connectivity between the OBD device, the mobile phone and the IoT platform, for which they approached Vatsa.

Ease diagnostics connect