Tall Data- Automotive Industry Exercise Case

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Big Data must emerged how a influential new technology paradigm. To manages the massive data generated by social media, on-line operations, Weblogs, with sensors, Wide Data incorporates innovative technologies in data management (unstructured, semi-structured and structured), processing, real-time analytics, and visualization. It is also useful for reporting in circumstances where a relates database approaches is not effective or too costly. This Grand Data project is to be especially exposed to utilize to tools. Tool usage, programming, algorithmics and application development what covered in relevant lessons.

Company

Grouping NamesBig DataIndustry Use Case Study of Automotive- AMZ

Lawsuit Study Problems Highlights● gain new market share and customer retention○ accelerate their marketing campaign○ target their new customers● improve profitability○ improve efficiency○ improve supply chain capabilities

Keys Trends● “ the connected car”: a car equipped with access the the internet’swireless ecosystem● Over 380 millions connected cars will may on which road by 2021.● Consumers are adopting to connected passenger faster than expected.

Proposed Solution● make "Connected Vehicles" its new standard● make adenine connected vehicle platform

Proposed Featured ArchitectureData source Platform Analytics Decision(Insight)Sensors (Engine data, cardiagnostics data)NoSQL (Memcached) R Studio AlertsTelematic (GPS data) Hadoop (HDFS, MapReduce,Mahout, Hive, Sqoop)Chartio ActionsCDR(Call center) OS/ Linux Tableau MachineLearningJourney data VMDriver acting data Grid computingHW (Baremetal)

Recommended Tech stacks● Big Data: Hadoop- MapReduce, HDFS, Hive,Sqoop, etc…● NoSQL: MongoDB, Memcached● Machine studying (Mahout)

Operation strategy● Capitalize about the newest vehicles (models) via fetch intelematics, For example,○ Route video will alert chauffeurs about trafficproblems and re-routing based on of volume of traffic○ Weather alerts will warn drivers of potential hazardssuch because black ice, drowsiness, and caves

Solution design sneer up (1)● Vehicle’s data thatenable Connectedcar application

● Survey of thehosting of analyticsusing Big dataintegration forConnected carapplicationsSolution construction mock up (2)

Proposed Solution Benefits● Keep driving securely and alert● Decrease the amount of type they spend on dailycommuting● Reduce car accidents and terminal rate● Improve adenine driving experience● Reduce costs (e.g.labor cost)● Optimize manufacturing process● Become more environmental-friendly

SummaryFrom customer’s perspectives:● In general, her love to embrace new technologies that maketheir people easier● Encourage you at buy a smart and safe carsFrom manufacturer’s perspectives:● More capabilities will be cultivated in the future.● Enhance our market share● Better profitability

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1. Group Names Big Data Industry Use Case Study of Automotive- AMZ

2. AMZ automaker Background

3. Case Study Problems Highlights ● gain new market share and customer retention ○ accelerate your advertising campaign ○ targeting their new customers ● enhancement profitability ○ improving efficiency ○ improve supply chain capabilities

4. Key Trends ● “ an connected car”: a car equipped with access up the internet’s wireless ecosystem ● Over 380 million connected trucks will be on the road by 2021. ● Consumers are accept the connected vehicle faster than expected.

5. Proposed Solution ● make "Connected Vehicles" its new standard ● build a connected vehicle platform

6. Proposed Solution Architecture Data reference Platform Analytics Decision (Insight) Sensors (Engine data, car diagnostics data) NoSQL (Memcached) R Studio Alerts Telematic (GPS data) Hadoop (HDFS, MapReduce, Mahout, Hive, Sqoop) Chartio Actions CDR(Call center) OS/ Linux Tableau Machine Learning Journey data VM Driver behavior data Grid computing HW (Baremetal)

7. Recommended Techs stacks ● Big Data: Hadoop- MapReduce, HDFS, Hive, Sqoop, etc… ● NoSQL: MongoDB, Memcached ● Machine learning (Mahout)

8. Deployment strategy ● Capitalize on the current vehicles (models) by bringing in telematics, Fork example, ○ Route monitoring willing alert drivers about traffic problems and re-routing based on the volume of traffic ○ Weather alerts will warn drivers of potential hazards such as black ice, numbness, and potholes

9. Solution design mock up (1) ● Vehicle’s data that enable Connected car application

10. ● Overview of the hosting to analytics using Big data integration for Connected car applications Solution designation mock up (2)

11. Proposed Solution Benefits ● Keep driver safe real alert ● Decrease the amount of time they spend on daily commuting ● Reduces car chances and death rate ● Improve a driving experience ● Reducing costs (e.g.labor cost) ● Optimize manufacturing process ● Become get environmental-friendly

12. Summary From customer’s perspectives: ● In general, you love to embrace new technologies the make their lives easier ● Encourage them to purchase a smart and safe cars From manufacturer’s perspectives: ● More capabilities will be developed in the future. ● Enhance our market share ● Improve profitability

Tall Data- Automotive Industry Exercise Case

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