Teradata
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Back in the day, when data warehouses weren’t just cloud services you spin up on a Tuesday, Teradata emerged as the titan of parallel processing. The promise? To finally conquer the sheer volume of information businesses were desperately trying to hoard, offering lightning-fast analytics that would leave traditional relational databases weeping in the corner. It wasn’t just a database; it was a platform, a complete ecosystem…and a rather expensive one at that.
The reality? While undeniably powerful, Teradata demanded a dedicated priesthood of highly skilled (and highly compensated) administrators. Its proprietary nature meant vendor lock-in of epic proportions. Now, while still a formidable player in certain industries – finance, telecom, the places with truly monstrous data sets – it’s facing a world increasingly dominated by cloud-native solutions like Snowflake and BigQuery. Quite clever, really, though one does wonder if all that parallel processing power was simply masking the slow march of technological progress around it.
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analytics engineer
Solutions Architect @ snowflake-computing
NL | 2025-12-23
Snowflake pitches Amsterdam as a hub for post-sales brilliance: a Solutions Architect role that blends enterprise data platform design with hands-on coaching, governance, and multi-vendor...
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Snowflake, AI/ML, Cloud Computing, Data Management, Management, Teradata, Spark, Databricks, Hadoop, Oracle, SQL Server, Data Vault, Fabric, Data Governance, Data Lake, DWH, dimensional modeling, 3NF, AWS, Azure, SQL, dbt, Talend, Informatica, Python, PySpark, Parquet, Avro, Iceberg, Delta, Analytics, Tableau, Power BI, Thoughtspot, SAS, NLP, Marketing, Data Analytics |
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