Import historical data into a stream table in chronological order as “real-time data” so that the same script can be used both for backtesting and real-time trading.
Learn how to implement a data pipeline that integrates Apache Kafka with AWS RDS and use AWS Lambda and API Gateway to feed data into a web application.
Implementing ML on IoT devices demands efficient software engineering. Optimize models, use hardware accelerators, manage resources, and prioritize security for success.
This article looks at the technologies behind these digital deceptions, their societal implications, and the AI-driven techniques designed to detect them.
Cloud-based business intelligence (BI) and visualization framework known for Salesforce data integration with external sources and predictive analytics.
The integration of data analytics tools into software development is not merely a trend but a fundamental shift setting new standard of excellence in software industry.
In the below article, learn how to use Karapace, an open-source Apache Kafka® schema registry, to prevent data errors by managing the data model across databases.
Learn more about software development kits (SDKs). Explore SDK examples, use cases, and characteristics of a good SDK for more efficient software development.
Use Flink and Kafka to create reliable, scalable, low-latency real-time data processing pipelines with fault tolerance and exactly-once processing guarantees.
In this article, we will deploy the TensorFlow Lite model to recognize the music genre from audio clips recorded with the microphone connected to the microcontroller.