---
esco_uri: http://data.europa.eu/esco/skill/46ec0033-3c71-415e-bcff-b065675ba2dc
esco_label: "integrate ICT data"
relation: optional
onet_soc: 15-2051.00
source: model-knowledge
confidence: high
qa_count: 0
generator: gemma3:27b (prompt-designed and spot-checked by Claude)
generated: 2026-07-10
---

# integrate ICT data — Data Scientist

For a Data Scientist, 'integrating ICT data' isn’t just about *collecting* information; it's the core of building usable datasets for analysis. Daily tasks involve pulling data from diverse sources – relational databases (SQL Server, PostgreSQL), NoSQL stores (MongoDB, Cassandra), cloud storage (AWS S3, Azure Blob Storage), APIs (REST, GraphQL), streaming platforms (Kafka, Spark Streaming) and even flat files like CSVs or JSON.  It means writing scripts (Python with Pandas is dominant, but also R, Scala) to extract, transform, and load (ETL) this data into a consistent format suitable for modeling. Think joining customer transaction data with website clickstream data *and* social media sentiment – all needing cleaning, standardization, and deduplication.

## Weitere Anreicherung

Stage-2 source for future practitioner grounding: arXiv cs.LG/stat.ML (ML preprints).
