Using Big Data And Ai In Transport And Logistics
summary
Microlise runs a hybrid on‑prem big‑data platform to ingest telemetry from about 408,000 connected assets, claiming 21.9 billion events in the UK last year and 4.2 billion miles recorded, and moves from thousands of SQL Server silos to a Hadoop-style stack that stores full messages in HDFS and queries via Parquet/Hive. The pipeline uses CloudEra + Kafka + Spark + HDFS for real-time stream aggregation, batch analytics and Tableau dashboards and the pilot projects prove faster development and new predictive models.
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chapters (8)
- 0:00Introduction and company overview
- 8:58Big data vision and ecosystem
- 9:46Big data journey begins
- 16:35Alternative fuel vehicle tracking project
- 20:49Data insights and dashboards
- 23:02Challenges and lessons learned
- 26:15Future AI and prescriptive analytics
- 27:16Connected and autonomous vehicles
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