Huge amount of data is created every second of the day. The need of collecting this data and further adding it to a singular platform has led to the rise of data streaming, which is now used in all kinds of businesses and work spheres. As a result, Data Streaming has become an inseparable part of automobile technology as well.
Porsche, one of the world’s largest manufacturers of cars, has adopted and integrated data streaming with all its other functions. This begets the question: what purpose does data streaming serve anyway? What does Porsche hope to achieve with this?
These are fair questions indeed and to answer them we first need to take a look at what data streaming actually does. In the contemporary world, data rules everything. The system or organisation that can make the best use of this data will eventually come out on top. Data streaming is not nearly concerned with the production of data as much as it is concerned with its optimal collection, analysation and segregation. The efficiency with which an organisation deals with Big Data, that is transforming it into manageable data and then using it, will play a crucial role in defining the future of data streaming.
Porsche seems to understand the importance of streaming data and creating useable information to hopefully step leaps ahead of every other competitor. The company uses data streaming across a range of functions, from sales and supply chain to charging station too. One example of this is the placing of a number of sensors in the Porsche Taycan that determine the physical state of this vehicle, both inside and on the outside.
It is also apparent that this innovation has made cars more connected than ever, not just for the vehicle makers but for their drivers as well. From being a scarce source, to the advent of the information technology age, the growth of data has been off the charts. Porsche has categorised its collected data into two types. The first is behavioural data which depends solely on the driver’s usage of a car. It measures telematics factors like speed, steering etc. which are further transferred to an intelligent system for their application.
Diagnostic data is the information derived after reading collected vehicle data. This comes in handy for determining vehicle condition. Porsche’s decision to build a data streaming system to centralize all its operations was materialized in the form of Streamzilla, as introduced by a Platform Manager, Sridhar Mamella. This revolutionary system is set to become an all-inclusive service for all data streaming needs within the company. It works in perfect harmony with the Apache Kafka and Apache NiFi platforms for data streaming information and applications.
These two APIs and Streamzilla have been used to successfully create data lakes, stream that data and apply the generated results. It has also significantly reduced much work required to run production-level apps, all the while requiring less infrastructure and saving time. For its customers, Porsche has created a system that offers much better and connected assistance than before. Streamzilla, definitely holds much potential for the company and its future.
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