Highlights
Data Source:(xlsx)
Data from various source (battery data).
Data Ingestion: (Apache Kafka)
Apache Kafka is a distributed high throughput publish-subscribe messaging system (Kafka API).
Publish the topic(battery data) in Apache Kafka.
Distributed and Parallel Processing System: (Apache Spark)
We need parallel and distributed execution of data on multiple systems. There exist multiple tools that allow us to write parallel and distributed applications such as Apache Spark.
Subscribe that battery data in Apache Spark and process the data and visualize the data. The processed data is stored in database.
Data Visualization:(MATPLOTLIB)
The visualization displays real-time processed data, which helps in both decision making and visualization purposes.
Distributed Database System (Cassandra):
Cassandra is designed to handle huge amount of data across many commodity servers, providing high availability without a single point of failure.
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