Overview
Cloudera Cluster Data Platform is a core component of the University’s Data Analytics and Management Infrastructure (DAMI). It provides a scalable software platform for enterprise data management and analytics, built on open-source technologies including Apache Hadoop, Apache Spark, and Apache Hive. This service enables ITS and data teams to store, process, and analyze large-scale datasets efficiently.
Key Features
- Big Data Storage & Processing: Supports large-scale data storage and distributed processing using Hadoop and Spark.
- Data Modeling & Analytics: Provides tools for data transformation, aggregation, and analysis.
- SQL-Based Queries: Enables structured queries using Hive for analytics and reporting purposes.
- Scalable Infrastructure: Allows clusters to expand as data volumes and analytic workloads grow.
- Data Security & Governance: Implements policies, access controls, and auditing for sensitive data.
Benefits
- High-Volume Data Management: Enables efficient storage and processing of large, complex datasets.
- Advanced Analytics Capabilities: Supports sophisticated data analysis, machine learning, and reporting workflows.
- Scalable & Flexible: Adjusts to increasing data volumes and evolving analytic needs.
- Centralized Governance: Ensures data security, compliance, and consistent management practices.
- Supports Institutional Analytics: Provides the foundation for DAMI-supported reporting and research initiatives.
Available to
Cloudera Cluster Data Platform services are available to ITS data teams and other authorized departments participating in DAMI-supported analytics and data management initiatives.
Cost
This service is provided as part of institutional data infrastructure. Additional costs may apply for expanded cluster usage, specialized support, or advanced analytics workloads.*
*Questions regarding access, eligibility, or pricing, please contact the ITS Service Desk*