Best cloud data management for your data management
ABCAdda | Updated Jul 28, 2022
The need for a Cloud Data management system that is available and accessible to anyone, anywhere, has become a major challenge for countless businesses. Cloud data management platform has brought several benefits to businesses.
As a result, many organizations have migrated to the cloud to manage their corporate data better while keeping it secure. Cloud Data Management is a service you can use to assist you in this process.
In this article, I will explain cloud data management and how it differs from traditional data management. I will also list some use cases and the pros and cons of using cloud data management. Lastly, I’ll talk about some of the best practices you can implement and the future of this service.
First, let’s see what a cloud data management platform means.
What is cloud data management?
Cloud data management is using cloud-based solutions to manage enterprise cloud data management. Cloud data management services can also help you manage your company data wherever it is.
You can also apply it to work with data located on-premises, in the cloud, or even in multi-cloud environments. It can help you and your company to build and maintain a platform for storing, receiving, converting, mining, archiving, archiving, and protecting data.
Like other cloud-based services, the cloud data management platform allows you to pay as you use it, allowing you to manage, scale easily, and save upfront costs.
An effective cloud data management solution has the same capabilities as traditional on-premises data management services. However, they differ in several aspects. The following sections will demonstrate these differences.
Difference between cloud data management and traditional data management
As already mentioned, we can list some of the differences between cloud and traditional data management. To that end, I’ve created a simple table highlighting these differences. Feel free to use this table as a reference if you need it.
However, there are some key differences between cloud data management strategy and traditional data management.
Cloud data management
Traditional data management
Minimal control over infrastructure configuration
Maximum control over infrastructure and access
Requires minimal or no upfront fees
Includes upfront costs for setting up necessary infrastructure and hardware
This can be a problem as it is completely dependent on an active internet connection
Accessible and adaptable to the environment in which it is used
Simple and highly scalable
Scalability includes hardware purchase and setup costs
Service providers take care of maintenance
You must provide the necessary hardware and infrastructure
What’s the difference?
You should know how more modern cloud-based solutions compare to traditional on-premises data management solutions. Let’s also look at some of the data management cloud’s key features and use cases.
How to manage cloud storage?
Cloud storage is a great way to store your photos and videos, but it cannot be easy to keep track of where your files are. There are several ways to manage your cloud storage and data management; each has advantages. Here are four tips for managing cloud storage:
Use a file manager: Some programs like iCloud or Microsoft OneDrive have built-in file management features. Others, like DropBox, have online file management tools. Either way, a program will make your files easier to find and access.
Use multiple cloud storage providers: Not all cloud storage management services are created equal. For example, iCloud is great for storing photos and videos but not great for storing large files. If you need to store large files in the cloud, consider using another provider like Google Drive or Dropbox.
Automate your file transfers: If you regularly move data files between different devices or computers, you can simplify the process by automating the transfer with software.
Use a backup system: No matter how carefully you manage cloud storage management, there is always a risk of data loss. Make sure you have a backup system to ensure your files are always safe.
Install network security: Although cloud service providers have their security measures for data protection, installing network security software on your device is still a better idea to increase security so you don’t upload any security threats.
Example of cloud data management
Rubrix is a single cloud data management platform that manages data and all data in the cloud, at the edge, or on-premises for backup, disaster recovery, backup, compliance, analytics, and data copy management. Rubrik cloud data management instantly powers your data (for test/development recovery) and unlocks substantial savings through a converged architecture.
Cloud data management companies
Alfabets Headquarters: Cambridge, Massachusetts…
Apica. Headquarters: Palo Alto, CA
Jitterbit. Headquarters: Oakland, CA
Embotic. What it offers: V-Commander, Private cloud management.
Not intuitive. Headquarters: Reston, Virginia
Jamcracker. Headquarters: Santa Clara, CA
Pros and cons of cloud data management
Most of the pros and cons of this data management mimic traditional cloud services. I’ll go into more detail about these pros and cons in a moment!
Security: Modern cloud solutions are often considered more secure than on-premises deployments because they are supported by timely and automatic security updates and patches.
Accessibility and Collaboration: Cloud data management system allows employees to access the data they need anywhere, resulting in a better collaborative environment.
Cost: Unlike traditional data management setups, cloud partners do not require upfront infrastructure or high setup costs.
Scalability: As with other cloud paradigms, cloud data management services allow you to scale up or down based on your needs and requirements.
Customization: data management Cloud services can be customized to suit your organization’s needs.
Cross-platform compatibility: You can implement cloud data services to work with on-premises data, in the cloud or a combination of both.
Downtime: Any cloud-based service requires an active internet connection, sometimes resulting in interruptions and service downtime.
Limited control: Your service provider owns your data management services and hosts the infrastructure. It also means you don’t have full control and visibility of your data.
Vendor lockout: One of the most common drawbacks of cloud services is vendor lockout. Once you have decided on one provider, switching to another provider is quite real time consuming and very expensive. Migration of data or cloud services is also not a trivial process depending on how much data and services you need to move. Therefore, choosing the right cloud data management services provider is very important.
Cost Issues: While you can reduce your upfront setup costs, the pay-as-you-go model can incur unexpected usage charges if not monitored properly.
So far, I’ve covered the data management cloud’s opportunities, use cases, and pros and cons. However, you can make better use of it. To that end, I’m now going to highlight some of the best practices you can implement in your organization.
5 Best practices for managing cloud storage data
Owning and managing cloud storage of the data itself can be very challenging. However, protecting data and generating valuable insights gives you a competitive edge in today’s IT world. To do this, you need to have the right practices and strategies.
Here are 5 best practices to get the most out of your management services:
Define your goals and outline your strategy: Before selecting a service provider or uploading and storing data to the cloud, it is important to consider the functional and non-functional requirements specific to your needs.
It would help if you created a detailed data frame or plan that satisfies these requirements. You should also develop this plan before switching to a cloud provider. Overall, this ensures that you have a solid foundation for your business. Thus, it will help you choose the right service or provider.
Protect your data: Now that your data is in the cloud, protecting it is your primary responsibility. Analyze and plan existing data security and management policies, and negotiate with your vendors to ensure security standards meet your needs. You can also categorize data to provide different levels of security based on the nature and privacy of the data.
Do a backup: Like other cloud services, cloud-based data management relies on an active internet connection. This may also include downtime or service interruptions. No organization can afford to disrupt business continuity and, most importantly, lose data.
While you can’t control service interruptions, you can control the backup cycle. This ensures that all valuable information is regularly backed up.
Control access to your data: You must manage, control and monitor the permissions granted to your employees to access data for security purposes. Implementing user groups and separations to grant access rights and permissions can help limit the scope for data theft or loss.
Finally, apply the principle of least privilege as much as possible to limit access to the most sensitive data in your organization.
Automate data management tasks: Using automation can help reduce the need for human intervention in some simple data management tasks such as data integration and backup. Plus, it helps your team focus on more critical or mission-critical tasks, resulting in efficient use of resources and reduced costs.
Key benefits of cloud data management
The cloud data services DevOps approach to data management offers many advantages over manual internal data processing workflows:
Cost optimization: Instead of running a local server 24/7 and managing it in shifts even when most of your employees are asleep, you benefit from a lower total cost of ownership.
Because you’re shifting most of your costs from CapEx to OpEx and significantly reducing your initial investment, moving your data management to the cloud will help you save much money in the long run.
Improve the quality of data processing: Deploying cloud infrastructure enables the creation of automated data processing paths to filter out duplicate files, unnecessary file versions, and other obsolete data that consumes only storage space and resources.
Build a centralized cloud-based data storage: Instead of searching for the latest file versions and the most relevant data across multiple local repositories, everything is done on one easy-to-manage platform.
Reduce the work of the IT department: Instead of cataloging all devices and running update suites in separate environments, your IT department can focus their time and skills on adding value and helping your team achieve business goals—while the cloud provider handles hardware and software maintenance -Updates handles it.
Scale your system up and down as needed: Allocate money previously wasted on operational costs so your business can grow faster.
Protection of your mission-critical assets: Cloud deployment means using the latest technology in terms of software and hardware. Instead of investing your tight budget and efforts into a standalone cybersecurity solution, you can take advantage of the holistic security measures offered by cloud hosting providers.
Make remote access easier for your employees: Ensuring your employees can securely access the data they need anytime, anywhere is a great way to encourage collaboration and increase the productivity of your remote workers during a pandemic.
Ensure data consistency and compliance: The centralized data storage and data management processing platform removes the barrier to creating separate data silos to interact with each other. This eliminates duplicate data and processes while allowing you to set and enforce compliance standards.
Business contingency empowerment and disaster recovery: Detecting, responding to, and recovering from an impending disaster is much easier in the cloud if you have skilled monitoring, alerting, logging, and support services. This helps reduce MTTR significantly and ensures business continuity.
Use continuous updates: Because cloud-based data management platforms are designed to work with the latest technologies, they are constantly updated to ensure they support the latest innovations. Most importantly, it happens in the background, so you don’t have to reinstall and configure the data processing path.
Access knowledge pools directly: By working with the technical support of a cloud data management strategy platform, you benefit from direct access to knowledge holders that will help you get the most out of your investment.
Cloud data management challenges and use cases
There are several hurdles that the IT team must overcome to ensure cost-effective data management:
Minimize data storage: With the ever-increasing amount of data that every business has to use, long-term storage can be a significant expense. Therefore, every organization must find the best approach for its unique operational DNA.
Obedience: Regulators constantly update industry-wide compliance frameworks, so your IT team needs tools to adapt data management processes and demonstrate compliance when needed quickly.
Data management automation in complex environments: Whether your data is in a public, private, or hybrid cloud, managing it can be a burden for your IT department. Automation helps reduce the effort to establish fault-tolerant and optimized data processing channels.
Cost reduction: Every tool and solution you use should enable your organization to do more with less—and data management platforms are no exception.
As a result, many executives are turning to cloud-based data management as the best solution.
In 2017, Microsoft completed the acquisition of Cloudyn, a comprehensive cost monitoring and analysis solution for AWS, Azure, and other cloud platforms.
The acquisition forced the Cloudyn team to seek help setting up their server base and reorganizing their cloud environment in the most rational way possible. The Academy Smart team helped Cloudyn achieve this goal in 6 months.
The main obstacle to redesigning this workflow was that the Cloudyn API data structure used was inconsistent with the Azure and OpenStack architectures.
By working closely with the Cloudyn team, the architects at Academy Smart could restructure the APIs and data processing mechanisms used so that all new Cloudyn functionality would be integrated directly into Microsoft Azure starting in early 2020.
To avoid mistakes
After highlighting the four cornerstones of an effective data migration strategy, we also need to determine the biggest potential risk factors that could undermine your efforts:
No introduction to company policies: Centralized data management in the cloud is only possible if all departments use the same procedures for big data collection, storage, and processing.
When data is managed according to multiple separate workflows across the organization, errors and inconsistencies are inevitable.
Implementing data governance policies across the company helps minimize the number of wrong decisions and instances of big data breaches.
Finish moving to the cloud: All the advantages of the cloud are only available on one condition – when there is an internet connection. Therefore, some mission-critical digital assets, such as domain controllers and local file servers, must remain in place to ensure your operations are fault-tolerant.
Keep the data unstructured: Data must have the same structure to be organized. Classification by format and correct filename is easy and helps keep things tidy.
The future of cloud data management
The COVID-19 pandemic has increased the demand for reliable data management cloud services. While ResearchAndMarkets estimates that the global data management services market size will reach nearly $13 billion in 2020, the revised analysis predicts it will grow 27.6% to almost $71 billion in 2027.
Efficient and predictable data management in the cloud continues to replace outdated data warehouses. Faced with the need to work remotely and save on budgets, organizations increasingly turn to cloud deployments for their data storage.
Major technology providers such as AWS, GCP, and Azure offer various cloud computing services. Cloud data management companies like Oracle provide technology-specific solutions like the Java cloud.
Therefore, the transition from on-premises data storage is inevitable for every business that wants to stay competitive in its field.
We can highlight the following data management trends rising:
More and more companies are implementing centralized data management solutions that manage multi-cloud data management centers as a single entity.
Businesses must stay on top of their data to make decisions based on numbers rather than guesswork and intuition.
Organizations are increasingly investing in modernizing their public clouds, private, or on-premises clouds to support innovative technologies such as AI and machine learning. This creates room for improvement in their processes and workflows.
Enterprise cloud data management is leaving the boundaries of on-premises data centers and migrating to the cloud to help global enterprises stay agile and competitive in a rapidly changing business landscape.
However, data migration should only occur after the necessary strategies, frameworks, and policies are in place to ensure data governance and regulatory compliance.
With the transition to a cloud-first strategy across a wide range of industries, cloud-based data management is becoming critical to long-term business success. However, without the right skills, you are bound to make mistakes or get little benefit from migrating your data to the cloud.
Because of this, there are no set guidelines for cloud database management. It all depends on the operational maturity of your organization and current business needs. However, there is nothing wrong with knowing best practices and avoiding hidden pitfalls.
We have come to the end of this comprehensive article. Even if you have accumulated a lot of knowledge by this point, you should still be hungry for more. Before we conclude, let’s briefly review the future of cloud database management in the next section.