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Cloudera Data Platform review
Miodrag-Stanic
Senior Architect at a comms service provider with 1,001-5,000 employees
Distributed computing improves data processing while upgrade complexity needs...
There are challenges with upgrading or updating various services like Spark, Impala, and Hive on on-premise and bare metal solutions. We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services. We also wish to implement lakehouse capabilities with Iceberg or Delta Lake frameworks.
Cloudera Data Platform review
Shan Hasan
Data Architect at ubl
ETL processes benefit from cost-effective offloading and could see improved...
The foremost benefit is offloading data from the warehouse to Cloudera Data Platform ( /products/cloudera-data-platform-reviews ), which allows for cheaper storage. We use it to push transformations and run ETL processes, leveraging tools like Spark. Cloudera also supports various functionalities, including AI and Gen (...
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