The Use of Python in the Data World
summary
Accenture’s Data Studio claims data shifts from nightly batches to real‑time decision loops and cites 180 zettabytes by 2025 with 40% in the cloud. Concrete tooling includes AWS S3 and Python libraries, PySpark and Google’s Vision API. Examples: an NLP pipeline that catalogued 7,000 documents into searchable outputs, a location‑analytics build that uses Wi‑Fi beacon logs to measure dwell times and predict visits, and productionized models feeding dashboards and campaigns.
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chapters (28)
- 0:00Introduction
- 0:35Data Science
- 0:57Epic Disruption
- 2:42Accenture
- 3:19Accenture Philippines
- 4:13Accenture Innovation
- 6:58Accenture Advanced Technology Center
- 7:58Century Digital
- 8:24Website Journey
- 9:31IoT Toys
- 10:09Smart Products
- 10:47Big Data
- 13:19Data in the New By 2025
- 17:53Torture the Data
- 18:49Where to use Python
- 20:06Python vs Java
- 22:58Natural Language Processing
- 24:53Python Architecture
- 27:08Transportation Hub
- 28:20Customer Identification
- 29:14Customer Keamy
- 29:56Location Analytics
- 32:20Google Vision API
- 33:55Thank you
- 34:26Lais background
- 39:42Why should I answer this
- 41:25Security
- 44:38Data
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