In today’s digital world, businesses need intelligent storage solutions to efficiently manage large volumes of data. HPE’s block, file, and object-based storage solutions enhance data management with increased security and scalability.
Storages
Block Storage
- HPE Alletra MP B10000: Delivers low latency and high I/O performance for high-performance applications, ensuring 100% availability.
- Use Cases: Databases, virtualized environments, and workload-intensive applications.
File Storage
- Qumulo: Optimized NAS (Network Attached Storage) solution for medium and large enterprises.
- Use Cases: Shared folders, document management, and media files.
Object Storage
- HPE Alletra MP X10000: A scalable and secure storage solution for managing large datasets and cloud-based applications.
- Use Cases: Artificial intelligence, machine learning, and big data analytics.
Impact Story
A media company leveraged Qumulo’s object storage solution to archive high-resolution videos more efficiently and securely, reducing data access time by 40%.
Data & Ops Services Catalog
Installation & Maintenance
Training & Performance Tuning
BI Assessment & Development
Big Data Services
Migration Services
Transformation Services
Data Quality & Profiling
Modeling Service
Data Assessment Service
CONTACT
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Questions & Answers
What is Data Discovery?
Data Discovery is a process that helps organizations find the data they need within their databases and document systems. It aims to identify the location and format of data.
What is the purpose of the Data Catalog service?
A Data Catalog organizes data inventory, allowing businesses to easily locate and understand all their data assets. It creates a data dictionary and a business terms glossary.
Why is data quality and profiling important?
Data quality and profiling are critical to ensuring the accuracy, consistency, and usability of data. This process helps detection and correction of errors within datasets.
What does the Data Product service offer?
The Data Product service transforms raw data into valuable products and develops contracts for their marketing and usage.
What does the Data Retention process involve?
Data Retention manages the secure storage of data for a specified period and ensures its proper disposal based on legal or business requirements.
What is the purpose of Data Masking?
Data Masking is used to protect sensitive data. It anonymizes or pseudonymizes data by hiding its true values, ensuring data security.
How does Data Governance Assessment help?
This assessment measures an organization’s data governance maturity and provides a roadmap for improvement. It helps refine existing practices and processes.
What is a Data Governance Framework?
A Data Governance Framework is a structure that defines how data governance is conducted within an organization. It includes policies, procedures, and standards to ensure data security, quality, and compliance.