登录查看更多内容

How do you manage cloud data effectively?

由人工智能和领英社区提供技术支持

Cloud data management is the process of storing, organizing, securing, and analyzing data in the cloud. It can help you reduce costs, improve performance, and enhance scalability. However, it also poses some challenges, such as data quality, security, governance, and integration. How do you manage cloud data effectively? Here are some tips to help you.

此文章中的业界达人

由社区从 4 条内容中精选。了解更多

1 Choose the right cloud service

Depending on your data needs, you may opt for different types of cloud services, such as infrastructure as a service (IaaS), platform as a service (PaaS), or software as a service (SaaS). Each service offers different levels of control, flexibility, and responsibility over your data. For example, IaaS gives you more control over your data infrastructure, but also requires more management and maintenance. PaaS provides you with a ready-made platform to run your data applications, but limits your customization options. SaaS delivers you a complete software solution to access and use your data, but restricts your data ownership and portability. You should evaluate the pros and cons of each service and choose the one that best suits your data goals, budget, and skills.

添加您的观点

Rafi Mohammed

Vice President @ Maximus
举报内容
The best way to adapt to cloud is to start leveraging Software as a service(SaaS) which encourage quickly turning around and implementing cloud strategy easily into legacy applications. On the other hand platform as a service(Paad) and infrastructure as a service (Iaas) are relatively larger effort but can result better business outcomes.

已翻译

赞

2 Implement data governance policies

Data governance is the set of rules and standards that define how your data is collected, stored, accessed, and used in the cloud. It helps you ensure data quality, consistency, security, and compliance. You should implement data governance policies that cover aspects such as data classification, data lifecycle, data ownership, data access rights, data encryption, data backup, data retention, and data deletion. You should also monitor and audit your data activities and enforce your policies with tools and processes.

添加您的观点

Rafi Mohammed

Vice President @ Maximus
举报内容
Data governance usually is considered as biggest challenges at enterprises and shy away from leveraging distributed systems which results in duplication and inconsistencies of data. Leverage data governance strategies and promote different groups at enterprise to use synergies.

已翻译

赞

3 Optimize data storage and performance

Cloud data storage and performance can affect your data availability, reliability, and efficiency. You should optimize your data storage and performance by choosing the right storage type, format, and location for your data. For example, you can use object storage for unstructured data, block storage for structured data, or file storage for shared data. You can also use compression, deduplication, or partitioning to reduce your data size and improve your data throughput. Moreover, you should consider the latency, bandwidth, and cost of your data location and select the optimal region, zone, or edge for your data.

添加您的观点

Jeannette Fackler

Technology Strategist - Helping state and local governments map strategic initiatives to real, actionable technology plans. All thoughts are my own. (My company made me say that. Legal thing, I guess.)
举报内容
Many governmental entities have data sovereignty legislation to comply with, depending on the type of data. These are often best with an on-premise solution structured with cloud-like scalability and management to still receive the benefits of cloud.

已翻译

赞
Jonathan V.

Azure Integrator / Data Integrator / Office 365 - Security Admin / SharePoint Admin - Developer
举报内容
Optimize data storage and increase data performance is a crucial aspect of the environment, it can significantly impact the cost, reliability and efficiency in you cloud based applications. A good consideration is to implement a data lifecycle management, I would say is a must to have in all the companies, establishing policies for data retention. In the optimization side indexing and query optimization techniques can enhance the performance and identify bottlenecks.

已翻译

赞

4 Integrate data sources and systems

Cloud data integration is the process of connecting and transferring data between different cloud services or between cloud and on-premise systems. It can help you consolidate, synchronize, and enrich your data. However, it can also be complex and challenging due to the diversity, volume, and velocity of data sources and systems. You should integrate your data sources and systems by using the appropriate methods, tools, and techniques. For example, you can use APIs, ETL, ELT, or iPaaS to facilitate your data integration. You can also use data pipelines, workflows, or orchestration to automate and streamline your data integration.

添加您的观点

5 Analyze data and generate insights

Cloud data analysis is the process of applying statistical, mathematical, or machine learning methods to your data in the cloud. It can help you discover patterns, trends, anomalies, or correlations in your data. You should analyze your data and generate insights by using the suitable tools, frameworks, and platforms. For example, you can use cloud-based data warehouses, data lakes, or data marts to store and query your data. You can also use cloud-based data analytics, business intelligence, or data visualization tools to explore and present your data.

添加您的观点

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Cloud Computing

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

How do you manage cloud data effectively?

1

2

3

4

5

6

1 Choose the right cloud service

2 Implement data governance policies

3 Optimize data storage and performance

4 Integrate data sources and systems

5 Analyze data and generate insights

6 Here’s what else to consider

Cloud Computing

给文章评分

感谢您的反馈

更多Cloud Computing相关文章

更多相关阅读内容

How do you manage cloud data effectively?

1

2

3

4

5

6

1 Choose the right cloud service

2 Implement data governance policies

3 Optimize data storage and performance

4 Integrate data sources and systems

5 Analyze data and generate insights

6 Here’s what else to consider

Cloud Computing

给文章评分

感谢您的反馈

查看其他技能