Cloud data management will break the island of storage and the island of team

The cloud has now proved to be one of the best choices for enterprises , Enterprises have the confidence to migrate critical workloads to the cloud . This brings us to the topic of cloud data management for unstructured data , And how customers can innovate by strategically blending cloud resources into their operations .

Although cloud data management (CDM) It can cover many aspects —— From cost management to architecture 、 Governance and security —— But in this article , We will focus on CDM Storage aspects of .

Although traditional or strict local data management is limited by the current infrastructure and lengthy procurement and deployment cycles , But cloud computing is about performance 、 durability 、 Availability offers endless choices . Of course , Each option has a different pricing .

Because there are huge differences in how storage is used and delivered in the cloud , Companies need new ways to manage all this . Again , As many enterprises adopt multi Cloud Architecture and store data at the edge , Complexity is increasing .

1、 Cloud computing brings data management to the next stage of maturity

In the context of enterprise data storage , Unstructured data management has been a practice for many years , Although it originated from the storage vendor platform . Enterprises are now using many different storage technologies , Includes block storage for databases and virtualization 、 For user and application workloads NAS、 Backup solutions in the data center or cloud —— A storage centric approach to data management no longer meets the requirements .

This is because , Among other reasons , Storage vendor data management solutions cannot solve the problem of managing data islands stored on different platforms . Islands hinder visibility and governance , Resulting in increased costs and low utilization . As more and more workloads and data migrate to the cloud to save money and achieve flexibility and innovation , Cloud data management has become a growing practice .

Cloud data management (CDM) Beyond storage , Meet the requirements of data mobility and access 、 Cost management 、 Security and the ever-changing need for growing data monetization . Cloud data management practices can help IT And storage managers take advantage of the latest cloud technologies , Without sacrificing control and measurement , Will not overspend .

They can move data securely between clouds , And move the data back to the local when necessary , And apply strategies , In this way, all data can be moved smoothly to the best position to meet the requirements of enterprises and departments .

2、 Get data value

Traditional data management storage methods focus on data protection . Now through cloud data management , The focus is expanding to include value . This means that the enterprise storage team needs to understand their file and object data .

Do that , The best way is to work with the team that created it , And collect it from machines such as the Internet of things and applications . Cloud data management is dismantling not only storage Islands , And the team island .

3、 Entry framework

Understand data and business ： Before determining the best cloud resource for unstructured data , Need to understand the business needs of key stakeholders . In the past , many IT Teams have little visibility into their unstructured data —— Just like truck drivers don't always know what their cargo is , But they get paid to take the goods from A Point delivery to B Point without damage or loss . However , Cloud data management is more than just keeping enterprise data safe and reliable .

Now you have to understand the value of different data sets , To inform their management ： Frequency of use 、 Business priorities and what level of protection is required . Modern unstructured data management platforms allow customers to index their data —— Thus, the visibility of making decisions on different data sets . for example , Analysis can be done by showing stakeholders why it is cheaper to move files that have not been accessed for a year to the cloud for storage , So as to provide a common basis for collaborative decision-making .

Data mobility ： Turn knowledge into action . With accurate data insight , It's time to take action and start moving data to the cloud . Major cloud providers now provide storage resources for all protocols ： With different performance 、 Blocks of cost and persistence characteristics 、 Documents and objects . The current workload of the enterprise may dictate the agreement —— However, enterprises still hope to access their data and maintain its portability in the future .

Cloud export fees are a major obstacle to reducing cloud storage costs . Make sure CDM Practice takes this into account , Accurately predict the demand for data recall , At the same time, learn how unstructured data management solutions that guarantee cloud native access can help prevent excessive costs . Proactive cloud data management strategies do not lock enterprises into a single cloud or storage resource . Enterprises will be able to manage their own data throughout its lifecycle .

Managing data for value ： This is it. CDM Differences from traditional unstructured data management ： Realize that an enterprise's data has value beyond the original application that created it , And the cloud analysis service can unlock these data . The following are the top considerations for the enterprise storage team as it seeks to expand its role as a data management professional to deliver this value proposition ：

• By supporting object storage API Ensure cloud native access .
• And the popular data warehouse analysis platform （ Such as Snowflake and Databricks） And cloud native services （ Such as Amazon Sagemaker、AWS Athena and Azure Data Lake Analytics） The opening of / Easy integration .
• Support unstructured data analysis by tagging and enriching file metadata throughout the lifecycle , In order to continuously utilize data in new ways .
• From storage technology as a service （STaaS） To data as a service （DaaS）; Today's focus is to provide overall data services to all departments , Not just lower storage costs .
• And business / Cooperation with departmental stakeholders , Understand data requirements , To achieve appropriate plans and long-term goals .

Cloud data management is still an emerging practice , But with data management 、 The emergence of unique tools and services from traditional storage and cloud providers, as well as security and expense management solutions , It will mature gradually .

Although cloud data management is an aspect of the whole unstructured data management practice , But it should be tightly integrated , In order to IT Managers can view all their data in one place 、 Strategy and expenditure .