newsletter

Ricevi gli ultimi aggiornamenti da Hortonworks tramite e-mail

Una volta al mese, ricevi gli approfondimenti, le tendenze, le informazioni analitiche e la conoscenza approfondita dei big data.

AVAILABLE NEWSLETTERS:

Sign up for the Developers Newsletter

Una volta al mese, ricevi gli approfondimenti, le tendenze, le informazioni analitiche e la conoscenza approfondita dei big data.

invito all'azione

Per iniziare

cloud

Sei pronto per cominciare?

Scarica Sandbox

Come possiamo aiutarti?

* Ho compreso che posso disdire in qualsiasi momento. Sono inoltre a conoscenza delle informazioni aggiuntive presenti nella informativa sulla privacy di Hortonworks.
chiudiPulsante di chiusura
Hortonworks Customer

Nissan

The fact that HDP® is the most open-source compliant product available made a big difference. Unlike other products, HDP did not require installation of any proprietary (non-open source) modules.

Mr. Akinori Baba, Manager of IT Architecture and Production Services, Global IT Division

Download Nissan Case Study

Download Case Study

Nissan Motor Company Ltd is a Japanese multinational automobile manufacturer headquartered in Nishi-ku, Yokohama. The company sells its cars under the Nissan, Infiniti, and Datsun brands.

Business Challenges

Connected cars that leverage driving data are a vision that automobile manufacturers are aggressively pursuing. Nissan Motor Company Ltd (Nissan) is on this journey also. The company was experiencing a variety of business challenges, namely the need for infrastructure capable of storing huge volumes of vehicle driving data and product quality data on a long-term basis. Also, it had a need for a Hadoop platform capable of deploying a variety of data cross-functionally.


soluzioni

Nissan turned to Hadoop as the solution for its Big Data problem, relying on Hortonworks Data Platform (HDP). The open source model appealed to the company due to the large numbers of engineering talent in the market and the flexibility to pivot if circumstances changed down the road.

Results

The deployment has introduced a data lake capable of storing all types of company data. The demand for and deployment of data continues to increase significantly. While the project is still in the early stages, the expectation is that the platform will host up to 500TB of data by late 2017.