We’ve just published our most recent case study! This one gives an in-depth look at how Nissan Motor Company Ltd (Nissan), is now able to store huge volumes of data and deploy a variety of data cross-functionally.
Nissan is a Japanese multinational automobile manufacturer headquartered in Nishi-ku, Yokohama. The company sells its cars under the Nissan, Infiniti, and Datsun brands.
The company has embarked on a Big Data journey to help solve the business challenges presented by the growth and diversity of data. Nissan turned to Hadoop as the solution to its Big Data problem. After a thorough and competitive evaluation, Hortonworks Data Platform was selected to power its data lake infrastructure.
One of the key factors in their decision to partner with Hortonworks was the open source model. With such large numbers of engineering talent in the market and the flexibility to pivot if circumstances changed down the road, open source technology has a tremendous appeal to 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,” said Mr. Akinori Baba, Manager of IT Architecture and Production Services, Global IT Division.
The connected car is a vision that many automobile manufacturers are aggressively pursuing. HDP has enabled Nissan to collect data across the whole business, specifically data related to driving and vehicle quality. Nissan can now use big data applications that require cross-functional data analysis, such as analyzing the battery usage in electric vehicles and quality management to ensure users have a smooth driving experience. Previously, the company lacked the infrastructure necessary to store and analyze all this data on a long-term data.
As part of Nissan’s efforts to fully implement HDP, it is in the process of constructing a data warehouse. The deployment has introduced a data lake capable of storing all types of company data. The internal demand for and deployment of data continues to increase significantly.
“HDP proved very effective in managing the large volume of quality data we had. Thus, HDP was deployed to other functions in order to meet internal demand,” says Mr. Satoshi Kitsuki, General Manager, Nissan Global IT Division.
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. The company continues to expand into new areas of business by seeking fresh applications for its valuable data. Through partnering with Hortonworks, Nissan is transforming their business and the future at the company is brighter than ever.
To read the full story of Nissan’s use case, visit: https://hortonworks.com/customers/nissan/