Leaderboard for Cloudera Data Platform
Check out the members with the highest scores who have reviewed Cloudera Data Platform.
#1. reviewer2784462
540
Points
Software Engineer at a tech vendor
Reviewed Cloudera Data Platform:
Unified data platform has improved governed analytics and supports faster enterprise delivery
#2. Miodrag-Stanic
175
Points
Senior Architect at a comms service provider
Reviewed Cloudera Data Platform:
Distributed computing improves data processing while upgrade complexity needs addressing#3. Shan Hasan
120
Points
Data Architect at a financial services firm
Reviewed Cloudera Data Platform:
ETL processes benefit from cost-effective offloading and could see improved deployment capabilities#4. Dhananjay Koyani
100
Points
ML Engineer - Director at a financial services firm
Reviewed Cloudera Data Platform:
Processes large volumes of heterogeneous data efficiently but faces challenges in cloud adoption and…#5. Ciro Porzio
100
Points
Data Platform Specialist at a integrator
Reviewed Cloudera Data Platform:
Manages large-scale data ingestion and transformation while improving job performance in hybrid…#6. reviewer2776239
100
Points
Data engineer at a tech vendor
Reviewed Cloudera Data Platform:
Uses handwritten notes and voice files to perform text analytics and gain real-time insights
#7. T Sarwar
85
Points
Data architect at a educational organization
Reviewed Cloudera Data Platform:
Has enabled efficient big data processing and querying but remains complex to manage and configure#8. reviewer2763942
80
Points
Cloud Data Administrator at a financial services firm
Reviewed Cloudera Data Platform:
Has improved data accessibility and control but still needs better innovation for AI and machine…#9. Review4321
80
Points
MES Consultant at a consultancy
Reviewed Cloudera Data Platform:
Has supported multi-source data integration and enabled real-time analytics across hybrid…#10. Mohammad_Ahmad
70
Points
Cloud data platform Admin at a financial services firm
Reviewed Cloudera Data Platform:
Has improved resource efficiency and lowered costs but still lacks full AI workload support