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How Next-Gen Data Management Can Help You Navigate the Hybrid Multicloud World

Chris Wiborg
Cohesity

Once upon a time data lived in the data center. Now data lives everywhere.

You have data in the data center, data at edge locations used by remote offices, data on mobile devices, and data in the cloud. And when a business has data in the cloud, it usually doesn't mean just one cloud.

Chances are good that you have data in SaaS applications like Microsoft 365, Salesforce, and other applications, clouds, and systems. Organizations are increasingly adopting hybrid multicloud strategies. So, some of your data might live on AWS, Google Cloud Platform, and/or Microsoft Azure.

All this signals the need for a new approach to data management, a next-gen solution — one that gives the power of choice to an organization to design a data management strategy that best meets its unique business needs. At the same time, the entire process of data management must be simplified. The era of multiple legacy point solutions to handle a company's data needs cannot meet the needs of a modern enterprise that must manage, protect, and derive business value from its data to compete and succeed.

Understand That Distributed Data Creates New Mobility and Security Implications

When your data lives in many different places, there are several implications.

You need to address data logistics — or how to get data from one place to another. In some cases you are moving data to the cloud. But sometimes you may want to repatriate data, which involves moving data back from the cloud.

Additionally, you have to rethink your approach to security. When all of your data lived in your data center, you could protect it with a hard perimeter around that data center. But because data is now everywhere, your security model must change and adopt zero trust principles.

Now you need to manage data everywhere in a way that is efficient and effective. Your data management approach should start with protecting and backing up your data. This will help you to recover if you have an outage or you are attacked by ransomware, which is growing at an alarming rate.

Take Responsibility Rather Than Assuming That Data in the Cloud Is Safe

You may think that when you put data in the cloud it is automatically protected. But just because your Microsoft 365 implementation is in the cloud, it doesn't mean Microsoft can bring back your data if things go wrong. Microsoft 365 retains customer content for 30 days at most.

Microsoft, Google, and AWS may offer guarantees related to their cloud services' uptime and availability. But you are responsible for making sure your data is secure and accessible for compliance, legal, and other purposes. This is known as the cloud's shared responsibility model. Under this model, you are responsible for your data — even if an employee mistakenly or intentionally deletes that data or you fall victim to ransomware or another type of cyberattack.

But not everybody operating in today's hybrid multicloud world understands that because SaaS and IaaS are relatively new models, and many IT operations teams and other talent responsible for resiliency aren't fully aware of the limitations and risks cloud poses when it comes to your data.

Avoid Creating More Silos By Taking a Centralized Approach

Your database provider may tell you that its database provides native online backup. But that is a siloed approach that adds complexity from a broader operations perspective rather than enabling modernization and simplification.

The best way to avoid silos is to implement a centralized data management solution that protects and lets you manage your data — in the cloud and on premises — using a single administrative interface.

Be Aware That As-A-Service Disaster Recovery Is An Effective Option

You may choose to back up all of your cloud, software-as-a-service, and on-premises data using a self-managed backup solution. But now data management companies also offer additional resiliency via disaster recovery-as-a-service (DRaaS) solutions. This means you now have the flexibility to choose between managing everything on your own or letting your DRaaS provider focus on managing the infrastructure, while you focus on the policies that will govern your data — where the value resides.

Whether you choose to manage your own infrastructure, consume as-a-service options, or adopt a flexible hybrid approach — as more and more organizations are choosing — make sure that your data management solution addresses all of your needs, wherever your data resides.

By consolidating "one off" solutions and adopting a next-gen data management platform approach you can simplify complexity and lower the costs involved with managing your data. At the same time, this approach will allow you to follow an operational strategy that is best for your business while helping you to avoid data mobility problems, and letting you recover faster when disaster strikes.

Now you can more easily protect your data. More importantly, you can protect your business.

Chris Wiborg is VP of Product Marketing at Cohesity

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How Next-Gen Data Management Can Help You Navigate the Hybrid Multicloud World

Chris Wiborg
Cohesity

Once upon a time data lived in the data center. Now data lives everywhere.

You have data in the data center, data at edge locations used by remote offices, data on mobile devices, and data in the cloud. And when a business has data in the cloud, it usually doesn't mean just one cloud.

Chances are good that you have data in SaaS applications like Microsoft 365, Salesforce, and other applications, clouds, and systems. Organizations are increasingly adopting hybrid multicloud strategies. So, some of your data might live on AWS, Google Cloud Platform, and/or Microsoft Azure.

All this signals the need for a new approach to data management, a next-gen solution — one that gives the power of choice to an organization to design a data management strategy that best meets its unique business needs. At the same time, the entire process of data management must be simplified. The era of multiple legacy point solutions to handle a company's data needs cannot meet the needs of a modern enterprise that must manage, protect, and derive business value from its data to compete and succeed.

Understand That Distributed Data Creates New Mobility and Security Implications

When your data lives in many different places, there are several implications.

You need to address data logistics — or how to get data from one place to another. In some cases you are moving data to the cloud. But sometimes you may want to repatriate data, which involves moving data back from the cloud.

Additionally, you have to rethink your approach to security. When all of your data lived in your data center, you could protect it with a hard perimeter around that data center. But because data is now everywhere, your security model must change and adopt zero trust principles.

Now you need to manage data everywhere in a way that is efficient and effective. Your data management approach should start with protecting and backing up your data. This will help you to recover if you have an outage or you are attacked by ransomware, which is growing at an alarming rate.

Take Responsibility Rather Than Assuming That Data in the Cloud Is Safe

You may think that when you put data in the cloud it is automatically protected. But just because your Microsoft 365 implementation is in the cloud, it doesn't mean Microsoft can bring back your data if things go wrong. Microsoft 365 retains customer content for 30 days at most.

Microsoft, Google, and AWS may offer guarantees related to their cloud services' uptime and availability. But you are responsible for making sure your data is secure and accessible for compliance, legal, and other purposes. This is known as the cloud's shared responsibility model. Under this model, you are responsible for your data — even if an employee mistakenly or intentionally deletes that data or you fall victim to ransomware or another type of cyberattack.

But not everybody operating in today's hybrid multicloud world understands that because SaaS and IaaS are relatively new models, and many IT operations teams and other talent responsible for resiliency aren't fully aware of the limitations and risks cloud poses when it comes to your data.

Avoid Creating More Silos By Taking a Centralized Approach

Your database provider may tell you that its database provides native online backup. But that is a siloed approach that adds complexity from a broader operations perspective rather than enabling modernization and simplification.

The best way to avoid silos is to implement a centralized data management solution that protects and lets you manage your data — in the cloud and on premises — using a single administrative interface.

Be Aware That As-A-Service Disaster Recovery Is An Effective Option

You may choose to back up all of your cloud, software-as-a-service, and on-premises data using a self-managed backup solution. But now data management companies also offer additional resiliency via disaster recovery-as-a-service (DRaaS) solutions. This means you now have the flexibility to choose between managing everything on your own or letting your DRaaS provider focus on managing the infrastructure, while you focus on the policies that will govern your data — where the value resides.

Whether you choose to manage your own infrastructure, consume as-a-service options, or adopt a flexible hybrid approach — as more and more organizations are choosing — make sure that your data management solution addresses all of your needs, wherever your data resides.

By consolidating "one off" solutions and adopting a next-gen data management platform approach you can simplify complexity and lower the costs involved with managing your data. At the same time, this approach will allow you to follow an operational strategy that is best for your business while helping you to avoid data mobility problems, and letting you recover faster when disaster strikes.

Now you can more easily protect your data. More importantly, you can protect your business.

Chris Wiborg is VP of Product Marketing at Cohesity

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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...