Global Leader in Flash Storage Implements Unified, Secure Big Data Platform to Reduce Drive Errors and Predict Failures
PALO ALTO, Calif. – January 26, 2016 – Cloudera, the global provider of the fastest, easiest, and most secure data management and analytics platform built on Apache Hadoop and the latest open source technologies, announced today that SanDisk, a global leader in flash storage, has deployed Cloudera Enterprise as an enterprise data hub to store, process, analyze, and test all of its product quality data. With Cloudera, SanDisk is for the first time incorporating end-to-end analytics and machine learning into its manufacturing operations, reducing drive errors, predicting failures, and ultimately ensuring superior reliability, quality, and performance of its products.
SanDisk is one of the world’s leading producers of data storage products based on flash memory. The inherent nature of the technology manufacturing industry in tandem with its market growth translates into constantly increasing volumes of manufacturing data that SanDisk must write, cleanse, process, and log at every stage of the manufacturing process.
By implementing an enterprise data hub with Cloudera, SanDisk can collect, analyze, and test all data generated throughout the manufacturing pipeline -- from design to product assembly, and from groups spanning the company whose data traditionally resided in relational databases, NoSQL databases, Microsoft Excel spreadsheets and more, in a single, secure location. The Cloudera platform, including components like Impala, Apache Spark, and Apache Hive, allows users to search, query, and analyze their data, while also enabling machine learning across the vast dataset. Cloudera Navigator and Apache Sentry are critical components of the platform, ensuring real-time data encryption, fine-grained authorization policies, and role-based access controls to protect SanDisk’s intellectual property.
“With the creation and adoption of the Hadoop data platform and an Enterprise Data Centric Architecture, SanDisk and Cloudera are leading, driving, and enabling net new capabilities, to perform advanced analytics, machine learning, and pattern matching at scale on SanDisk data at different stages of the manufacturing process,” said Janet George, fellow/chief data scientist at SanDisk.
“Manufacturers have always been challenged to ensure that their products consistently meet the highest quality of standards, no matter the industry or scale,” said Dave Shuman, industry leader, Retail and Manufacturing, Cloudera. “In the technology landscape that SanDisk operates, this is especially complex; SanDisk has to manage petabytes of data and billions of sensors streaming in from machine processes. SanDisk is a perfect example of how big data is the future of manufacturing analytics, applying its modern data management platform to make real-time improvements and modifications to the manufacturing process that maximize efficiencies and output.”
Cloudera delivers the modern data management and analytics platform built on Apache Hadoop and the latest open source technologies. The world’s leading organizations trust Cloudera to help solve their most challenging business problems with Cloudera Enterprise, the fastest, easiest and most secure data platform available for the modern world. Our customers efficiently capture, store, process and analyze vast amounts of data, empowering them to use advanced analytics to drive business decisions quickly, flexibly and at lower cost than has been possible before. To ensure our customers are successful, we offer comprehensive support, training and professional services.
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Cloudera, Cloudera’s Platform for Big Data, Cloudera Enterprise Data Hub Edition, Cloudera Enterprise Flex Edition, Cloudera Enterprise Basic Edition and CDH are trademarks or registered trademarks of Cloudera Inc. in the United States, and in jurisdictions throughout the world. SanDisk is a trademark of SanDisk Corporation, registered in the U.S. and other countries. All other company and product names may be trade names or trademarks of their respective owners.