Addressing Key Issues experienced within a Hybrid, Multi-Cloud Data Strategy with Cloudera
The Cloudera data management platform runs everywhere – private and public cloud and manages the end-to-end data lifecycle.
Enterprise data is spread everywhere with rough estimations of data allocation across an organisation’s hybrid IT environment to be.
Cloudera is fixed on the future of data and believes in creating the platform that will support the possibilities that data will unlock today.
Performance and scalability are critical to managing vast volumes of data when upscale or downscale as per demand.
Connectivity and the ability to integrate both new and historical data sources is essential. With Hadoop and Spark Integration align your processing and distribution workflows on top of Apache Hadoop from multiple external databases while facilitating the dissemination of data from you data lake throughout parallel computing clusters.
Adopt a bullet proof hybrid data management strategy.
Key Issues within a Hybrid or Multi-Cloud Data Strategy
When faced with implementing an existing or any data strategy within a hybrid and/or multi-cloud environment be aware of the following issues:
- Distributed data source management: know which data to move to the cloud and which to keep on-premise.
- Solution performance: have a responsive data solution to business users and customers with effective data allocation and load distribution.
- Security and access: ensure the correct access is provided, to the correct people and any potential vulnerabilities are identified and mitigated.
- Integration difficulties: identify integration needs between different data sources.
- Cost allocations and overruns: estimate the costs of allocating data to different cloud providers and services. How do you monitor and measure the costs of growing data loads?
- Data governance and compliance: monitor distributed data sources, manage distributed policies, minimise security breaches, or exposing the business to financial risks for non-compliance.
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