22 IT Pros & Data Specialists Reveal the Most Important Data Migration Trends for 2023 and Beyond

According to IndustryARC, the global data migration market is projected to grow at a CAGR of 18.37% between 2020 and 2025, reaching $10.98 billion by 2025. More companies are migrating their data due to a variety of factors, such as the proliferation of the Internet of Things (IoT) across business sectors (such as Industrial IoT or IIoT) and the substantial increase in data creation that makes on-premise data storage and management challenging. To help you plan your company’s data migration strategy with the latest practices in mind, we’ve curated this collection of the most important trends to look for in data migration in 2023 and beyond, such as:

• Increased data migration to the cloud
• The growing use of multi-cloud environments
• Increased use of AI in data migration
• The rapid growth of unstructured data
• Increased importance of data integrity and security
• …and more

We’ll get to these trends later in this article, but first, let’s take a look at what data migration is.

What is Data Migration?

Data migration is the process of moving information (in the form of data) from one database, storage system, or application to another. It may also involve reformatting data to a different file format.

While it sounds simple, it actually requires a great deal of planning and prepartion to ensure data security and integrity. In fact, data loss prevention might be one reason an organization migrates data, in this case from one enterprise security solution to another, or perhaps to a more secure database or cloud provider.

Companies also migrate data from on-premises to the cloud when adopting cloud computing solutions, upgrading databases, or are merging data from another source (such as after acquiring another company).

What are the Most Important Data Migration Trends You Should Know?

Given the variety of reasons companies may choose to migrate data in the coming years, there are some important trends in data migration you should know. We reached out to a panel of IT professionals and data specialists and asked them to answer this question:

“What will be the most important data migration trend in 2023 and beyond?”

Meet Our Panel of IT Professionals & Data Specialists:

Read on to learn what our panel had to say about the most important data migration trends you need to be paying attention to in 2023 and beyond.

Adam Crossling

Adam Crossling is the Marketing Manager at Zenzero.

“Two important data migration trends in 2023 and beyond are…”

Migrations of databases:

We've come a long way from the days when databases were kept solely in-house, with movement of whole databases to the cloud (either the public cloud or a hybrid cloud) to improve efficiency, reduce expenses, and incorporate cutting-edge technologies into the IT infrastructure. In-house databases are increasingly moving to the cloud so that they may be more readily integrated with analytics, customer-facing initiatives, marketing, and other corporate tools.

Migration between clouds:

Historically, on-premise-to-cloud migrations have been the norm. Most data migrations in the present day occur between different cloud services. Companies are constantly migrating their data to the cloud for a variety of reasons, including redundancy, lower pricing elsewhere, and disaster recovery (DR). There is a rising pattern of quickly and cheaply transferring information and applications across different cloud providers. There may be lightning-fast connections between several clouds. A problem that many are beginning to see is that although it costs nothing to upload information to the cloud, retrieving it will incur fees. This has led to a growing interest in the effect that cloud data exits may have and how to mitigate it.

Stavros Zavrakas

Stavros is the founder of Orthogonality, a software house offering high-quality digital solutions to businesses.

“The most important trend in data migration in 2022 will be…”

Shifting to the cloud on a large scale.

Large businesses quickly use up the capacity of local hard drive arrays due to the global spike in data volume. Data managers have to balance the ongoing need for more capacity with the need to anticipate hardware breakdown and obsolescence.

These problems are less urgent and less complicated as a result of data migration to the cloud. The hours of installation, configuration, testing, and troubleshooting needed to install physical hard drives are readily replaced with a few mouse clicks on the cloud interface.

The trend of moving more and more data to the cloud is fueled by the simplicity and potential automation of scaling storage, which has a great appeal for data administrators.

The largest businesses continue to operate above their present capacity, and Markets & Markets anticipates that they will continue to dominate the data migration market in terms of dollar volume. However, as the flexibility of the cloud gains more acceptance in 2023, small and medium-sized businesses are anticipated to drive the market's fastest-growing sector.

Effective data managers aim to move the correct data to the appropriate location when they transition their managers' data, though. Data managers now aim to restructure the data into more advantageous configurations rather than just replicating their current data storage solution on a wider scale.

Beyond mere storage, this transition serves higher objectives. Data managers work to enhance analysis, system integration, and other processes. For instance, an organization might construct global repositories by data classification, such as global marketing, operations records, logistics records, security log files, etc., rather than copying the local storage for 20 subsidiary offices.

Data managers will carry out data migration for particular data subcategories to particular tools or places in order to improve the usage of data.

Eric Florence

With a strong commitment to online security and digital freedom, Eric is working hard to deliver the content and analysis his audience is looking for when he is not coaching or consulting at SecurityTech. His other passions include web development and finding new ways to use VR.

“The most important data migration trend in 2023 will stay the same as in 2022…”

The shift to the cloud. There has been a monumental surge in the amount of data collected, and dealing with the everyday tasks of storing that on site are simply not worth the cost. Why deal with securing a facility, installing hardware, testing, and troubleshooting it?

Organizations will move their storage into the cloud even more than in 2023. All of the largest companies are exceeding max data capacity, and this will be the case for some time. Gordon Gekko said that “Information is the most valuable commodity that I know of.” It was true in the 80s and is especially true as we collect and store gargantuan amounts of information today.

Wojciech Syrkiewicz-Trepiak

Wojciech Syrkiewicz-Trepiak (CISSP; OSCP), is the Head of Security at Spacelift, a sophisticated CI/CD platform for Infrastructure as Code.

“The most important data migration trend in 2023 and beyond is…”

Still moving to the cloud.

Also, as the market is more and more mature, we will observe data migration between the clouds for cost optimization, security improvements, and introducing less complexity. Many companies decided that being a cloud agnostic is more challenging than it seemed at the beginning.

Last but not least, there are differences in the way users access databases in the cloud, which also might be a driver to migrate the data inside the existing cloud (i.e., using IAM roles to log in to the database instead of database users).

Boris Jabes

Boris Jabes is the CEO and Co-Founder of Census, a data integration platform that operationalizes data, creating a world of better, more agile business operations. They recently raised a $60M Series B on a $630M valuation.

“Data migration will continue to be an important trend in 2023 and beyond as…”

Organizations grapple with ever-changing data requirements.

The need to move data quickly and efficiently will only become more pressing as the volume and variety of data increases. In order to meet these challenges, organizations will need to adopt new technologies and strategies for data migration. Here are some specific things we can expect to see in data migration:

1. Increasing use of cloud-based solutions:

The cloud provides a flexible and scalable platform for data migration. More and more organizations are turning to the cloud to store and manage their data. This growth will continue as organizations realize the many benefits of the cloud, including lower costs, increased agility, and improved scalability.

2. Greater focus on data quality:

As data becomes more critical to business operations, there will be a greater focus on ensuring its quality. Data migration projects will need to pay close attention to data cleansing and validation in order to ensure that the data being moved is accurate and complete.

3. More use of automation:

Automation will play an increasingly important role in data migration as organizations look to speed up the process and reduce errors. Automated tools can help to automate many of the tasks associated with data migration, such as data mapping and transformation.

4. Improved planning and governance:

Data migration projects can be complex and time-consuming. As a result, there will be a greater emphasis on planning and governance. Organizations will need to carefully plan their data migration projects, taking into account all the potential risks and challenges. They will also need to put in place robust governance mechanisms to ensure that the project stays on track and meets all its objectives.

5. Greater use of artificial intelligence:

Artificial intelligence (AI) is expected to play a big role in data migration in the coming years. AI-powered tools can help to automate many of the tasks associated with data migration, such as data cleansing and transformation. In addition, AI can be used to identify patterns and trends in data that can be exploited to improve the efficiency of data migration.

Jeroen van Gils

Jeroen van Gils is CEO of LiFi.co, a website about LiFi technology.

“Data migration is a process of moving data from one location to another…”

This can be done for a variety of reasons, such as consolidating data stores, upgrading to a new system, or recovering from a disaster.

As businesses increasingly rely on data to drive decision-making, the need for efficient and effective data migration will only grow. While there are many different data migration trends that will emerge in the coming years, the most important will be those that enable businesses to move their data quickly and securely. In an increasingly competitive marketplace, the ability to migrate data quickly and efficiently will give businesses a major advantage as they seek to capitalize on new opportunities.

As a result, we expect to see a growing number of businesses adopting cloud-based data migration solutions that provide the speed and flexibility needed to stay ahead of the competition.

Daniel Nyquist

Daniel Nyquist is the Chief Marketing Officer at Crosslist, an easy-to-use tool that allows sellers to list quickly on the world’s largest online marketplaces using a browser extension.

“In 2023 and beyond, the most important data migration trend will be…”

The move to cloud-based services, which will allow companies to access their data from anywhere in the world.

The cloud has become a more attractive option for businesses due to the flexibility it offers in terms of cost and speed of deployment. Businesses are no longer required to purchase expensive hardware or software before being able to store and access their data.

Instead, they can simply sign up for a subscription-based service that allows them to use any device at any time without having to worry about licensing costs or other expenses associated with owning physical servers.

This shift has been happening gradually over the past few years but is expected to accelerate quickly as more people come around to its benefits and see how easy it is compared with traditional methods like tape backup systems or SAN storage arrays.

Zeeshan Arif

Zeeshan Arif is the Software Architect, DevOps at Whizpool Pvt Ltd. Zeeshan has 15+ years of IT experience in Application Architecture, Web & App development, Big Data, and Product designing. He has been an active part of many top 10 apps and enterprise websites for Fortune 500 companies.

“The most important data migration trend in 2023 and beyond will be…”

The need for companies to be able to move their data between cloud providers.

This is something that is already happening today, but it's going to become increasingly important as companies realize the benefits of using multiple cloud providers at a time in order to get the best of all worlds.

It's not just about being able to switch between providers at will; it's also about ensuring that you always have access to your data no matter what happens in the world around you. The best way to do that is by having some kind of backup plan that ensures your data is safe even if something happens with one of your cloud provider relationships.

Cole South

@ColeSouth

Cole South is the Co-founder of Synchronize. The company works on solving the pain points for eCommerce operators by eliminating the mistakes from manual data processing.

“Opting for a hybrid form of data migration will be sought in the future…”

Hybrid allows a situation that is the best of both worlds. It does not mean downgrading; it is more flexible. Using both private and public clouds will be preferred by many. It will make room for easier control for businesses and customers. It will also help manage the data with much more ease.

Andrey Ivashin

Andrey Ivashin is the CIO at Dyninno Group.

“We live in the IT era – our lives have been digitized…”

The traditional, written form of data has transformed into digital data, which is stored somewhere in the network. Data has become the new currency — based on digital data analysis, businesses are making strategic business decisions, and vital medical conclusions are also drawn from digital data analysis.

Since the value of data has been increasing, hackers and cyber attackers are interested in stealing any data they can possibly get access to. This means that hackers could steal sensitive commercial data and threaten to publish it, implement ransomware attacks on all systems, or violate data integrity and influence your business results and processes. The more we are digitalizing, the more vulnerable we become. Therefore, the importance of information security is increasing.

Unfortunately, professional hacking-as-a-service became a low-cost and more attainable service, too. Now intruders do not even need to invest in expensive hardware nor have deep IT knowledge; they can just inquire about such service on darknet markets. It increases the number of simple but massive cyber threats that harm both individuals and organizations. Talking about our experience, I can say that we see tens of thousands of cyberattack attempts on Dyninno Group systems daily.

More and more companies have started using cloud solutions in terms of economy and searching for more flexible business platforms. It is really speedy, convenient, and easy to use, especially in a distributed structure. Primarily, you should double-check the cloud provider's compliance and cyber security approach. Choosing a reliable and large cloud provider with a transparent security policy is better. The right choice of a cloud provider can even make your company more compliant (e.g., in terms of GDPR).

Data compliance is also a significant part of this trend. Many countries are tightening legislation in the field of personal data processing. Failure to comply can be the reason for expensive data breaches. Non-compliance can also lead to heavy fines, so it is vital for organizations to understand the data that they store and take steps to protect it.

One of the modern approaches is data taxonomy. To better data management, you should take a unified view of the data in an organization. Data taxonomy could establish a data hierarchy into categories and sub-categories in multiple systems and help with better analysis results. And with a clear data hierarchy, you could better manage all accesses and permissions.

Lucas James

Lucas James is the CEO & Co-Founder of AgencyGo. Lucas is a tech entrepreneur focused on developing CRISPR and sustainable technologies that capitalize on unique financial opportunities (like subsidies or grants).

“Data-driven migrations will increase further in 2023 and beyond…”

As data migration has been popular worldwide considering the increase of data and its management, modern data managers are rapidly moving data from local data centers to the cloud or between cloud resources. This can improve costs, performance, accessibility, and so much more.

However, when migrating data to other locations, the focus should be on moving the right data to the right place. Instead of simply creating existing data storage solutions on larger scales, data managers are working actively for improved configurations that make the transition simpler and much more effective for large amounts of data. Data migration may also be carried out for specific subcategories of data to specific tools or even locations.

Jake Bernardes

Jake Bernardes is the V.P. of Security and Compliance at Whistic.

“When it comes to trends and themes related to big data, data analytics, real time and quantum…”

I think we need to spend more time considering the misuse, or just misunderstanding of data creation and consumption. We live in a SaaS economy where users want immediate, on-demand access.

If we’re being honest with ourselves, I was once quoted as saying we'd probably brush our teeth in the cloud if we could. The majority of SMB companies now consume 75 percent or more of their compute and storage through hosted offerings, and that trend is moving up the food chain to the global financial players. This comes at an obvious cost and leaves a poignant question: Where is that data and who is looking after it?

AWS must have a significant portion of the global data estate, as must Slack, Google, Atlassian and others. The data that exists there is semi-managed and often wild. The biggest trend I'm seeing among my peers is a growing concern for better data management (understanding the currency & requirement/use for data as well as the applicable governance/regulations), data security (doing more to protect against access creep, insider threat or social engineering), and vendor management (doing more to ensure we adequately understand the risks and assess them for our vendors so we make better decisions about who we partner and trust with our data).

In 2023, we will see more and more companies trying to rationalize their supply chains, ensuring their data is shared in fewer places while ensuring they are taking the necessary steps to improve the security and privacy of that data in places it is shared.

So many of the recent data breaches have occurred in supply chains and third-party libraries/components. When you pair that with the realization that a CISO is no longer protected from personal jail time, we will see more security leaders weighing in on data strategies and having a say on how data is handled, where it's stored, and what to do to protect it.

Emmanuel Ekwedike, PhD

Emmanuel Ekwedike, Ph.D., is a Machine Learning Research Scientist and a collaborative problem-solver with 6+ years of research experience and a track record of delivering quality results in all facets of product development for businesses with either B2B or B2C business models.

“Data migration to the cloud will continue to be the most important data migration trend in 2023 and beyond…”

Data migration to the cloud will totally solve the local hard drives' capacity problem. Cloud storage is the future since it can handle large data sets, whereas traditional storage solutions cannot.

Gauri Manglik

Gauri Manglik is the CEO & Co-founder of Instrumentl, an institutional fundraising platform that

helps nonprofits find, track and manage their grants all in one place to save three hours a week and apply to 78% more grants within a year.

“In the future, we'll see a trend toward more data migration…”

The reason is simple: the world is becoming more connected than ever before. The amount of data being created is growing exponentially, and there's no sign that it will slow down anytime soon. In fact, it's likely to increase as the world gets even more interconnected through things like 5G networks and IoT devices.

The only way this data can be stored is on servers, which have to be migrated from time to time — unless you want your storage to become full or your system to crash. That's why we're going to see more and more migrations taking place over the next few years as storage needs continue to grow exponentially.

Anurag Gupta

Anurag Gupta is a maintainer of the open-source projects Fluentd and Fluent Bit, as well as a co-founder of Calyptia. Previously he has worked at Elastic, driving cloud products and helping create the Elastic Kubernetes Operator. He has also worked at Treasure Data, heading enterprise open source with Fluentd, and at Microsoft Azure Log Analytics working on Observability as a cloud provider.

“One of the major data migration trends we have seen this year and we expect to only become more prevalent is…”

Embracing a vendor-neutral approach to storing and accessing the data after the migration. Many of these migrations are being initiated because enterprises discovered after the last time the same data were migrated that they were locked-in to a particular vendor and their data were essentially being held hostage to rising licensing and storage costs.

It's certainly something we've seen in our own area, which is observability data. That's one reason for the growing adoption of OpenTelemetry, which is an open source observability framework consisting of a variety of tools for collecting telemetry data. It's one reason that Fluent Bit, the open source project that Calyptia maintains, has been downloaded and deployed over two billion times this year alone. Fluent Bit is completely vendor-neutral in the way that it collects, processes, and routes observability data, and it is totally compatible with OpenTelemetry, of course.

We have so many customers that come to Calyptia looking to solve this specific problem. They began an observability program a few years ago and it has proven its value to the business, but now they are being pressured to reduce costs or to make the data available to more and more parts of the business that want it but want to consume it with a different application.

If vendor neutrality is built into your data strategy, your business can respond to changing demands in a much more agile fashion.

Eliud Polanco

Eliud Polanco is the President of Fluree.

“From healthcare and finance to government and education, the world is becoming increasingly more digitized across industries…”

As a result, critical data that these sectors rely upon is housed in digital form, making the accessibility and security of that information all the more important.

In 2022, we’ve seen an increasing need for data – which comes from a variety of sources, companies and industries – to work harmoniously and integrate in a way that maintains the data’s integrity throughout the migration process.

As this trend of multiple data sources working in tandem is certain to continue, effective migration requires making sense of legacy data without compromising its content. This is far more than just cleaning the data. It entails putting data at the center of the company so industries from big banks to pharma and healthcare can get rid of systems that use data merely as a by-product.

With that shift comes a need to automate the pipeline and cleansing process through the use of trained artificial intelligence. This can speed up the process, saving resources and time for migration projects that typically would be abandoned or overextended due to the status quo manual process.

In fact, 83% of migrations fail or exceed their budget and scheduling constraints, according to Gartner.

But certain management tools – like Fluree Sense – create a data pipeline using AI and machine learning to normalize data across a variety of sources and eliminate any need for additional data governance, master data management or data quality software. All the while, this management system is operated by the customer and integrates with existing infrastructure, ensuring internal security and integrity.

Joshua Wood

@thisisjoshwood

Joshua is the Founder and CEO of Bloc. Bloc is a social events platform that helps create unforgettable events and experiences.

“By 2023, the trend for data migration will be…”

Towards more automation and artificial intelligence (AI). Data migration processes are often slow, tedious, and error-prone. Automation and AI can help to speed up the process, reduce human error, and improve accuracy.

Phil Ohren

Phil Ohren is the Founder and Head of Strategy at Intender, a people-first digital advertising, and performance marketing company. Intender was created to make advertising useful, instead of annoying. This is achieved by ensuring the right people see the right messages at the right time.

“Unstructured data migration will be a huge trend going forwards, as it offers an alternative to the other pertinent trend of…”

Moving data onto the cloud. While the cloud solves this issue by providing a universal structure to your data, if you choose not to use the cloud for whatever reason, the next big trend will be unstructured data migration.

In comparison to the cloud, unstructured data migration is what may occur when a company is acquired through a merger or data is being migrated to a new and updated system. In layman's terms, unstructured data migration describes the movement of large amounts of data from one platform to another. When the initial datasets and structure is shed in order to adopt a new one, you are left with unstructured data that has no predisposed locations or structure but is essentially just raw data without label or analysis.

Equally unstructured data migration is what will occur in the primary phase of migrating to the cloud itself. When moving from some other platform to the cloud, your data will become unstructured for a time, but the idea is that once you migrate to the cloud then this issue of unstructured data won’t occur again anytime soon.

There are some risks, obviously, in migrating such large amounts of data, which is why the cloud is such a popular option. You could easily experience some level of data loss just based on the size of data transfer, not to mention mismanagement as re-analysis of data to check. You could have departments of data analysts working on moving terabytes of data purely for migratory purposes.

There needs to be some level of quality control and assurance as well. It's likely much of this data can affect customers and investors, so the data has to be checked so that legal issues don’t arise in the future. This could cause some financial loss and much worse if important data gets misplaced. Knowing this alone, in addition to the number of additional issues that arise with unstructured data, some solution for migrating unstructured data is going to be an important trend within the general data industry.

There’s also the issue of shedding unnecessary data. In some environments, certain datasets aren’t fully understood and certain directories might end up keeping information that is not required in the data migration process. What could occur is that, in a merger type situation, an entity may ask for certain parts of a dataset to be left behind, which can require another level of sorting for the data managers.

With all this taken into account, it can be said that planning and preparing for success in the migration of large amounts of unstructured data is the key to migrating data effectively in the modern world. While the cloud helps stop this happening again, there still must be some solution for the amount of unstructured data migration that will become more and more apparent as people move to the cloud.

Gilad Zilberman

@SeatPick

Gilad Zilberman is the CEO of SeatPick and a long-time IT professional.

“In my years of experience working in IT, I truly believe that…”

The modernization of data is one of the most important trends today and beyond. To truly use data efficiently, we must get rid of all legacy databases and move to modern databases. It is a process of refining and restructuring data, and it's a huge trend in data migration. The modernization of data and databases is in full swing now, and it will be even more important in 2023 and beyond.

Marcin Gwizdala

Marcin Gwizdala is the Head Of Technology at Tidio.

“In the current challenging times, data security is more important than ever before…”

As more and more businesses migrate their data into the cloud, cloud providers have some serious thinking to do regarding how to safeguard their customers’ information. In 2023, the shift to the cloud will only increase as the quantity of data organizations possess today exhausts the capacity of any hard drive. With the increase in cloud adoption, cloud security is not just a buzzword that is nice to have; it's an absolute necessity for every enterprise.

Barbara Donatien

Barbara Donatien is manager of attest services at BARR Advisory, a cybersecurity and compliance solutions provider serving companies with high-value information in cloud environments like AWS, Microsoft Azure, and Google Cloud Platform.

“There are many different types of data migration that are relevant in our current tech environment…”

Data migration is beneficial because it helps improve performance and streamline processes. One example is cloud migration. Moving to the cloud can help organizations cut costs and improve security. This trend has been around for a while, and largely due to the savings and security benefits, it isn’t going anywhere anytime soon.

Looking beyond 2022, the most important and relevant data migration trend I foresee revolves around artificial intelligence (AI). We can think of AI as an umbrella term that encompasses many different tools and trends. For example, machine learning is just one type of AI that is similar to automation.

Artificial intelligence is the most important data migration trend to watch in 2023 and beyond because of the huge swaths of data that are generated today, by both humans and machines. AI forms the basis for computer learning, which improves analytics and represents the future of complex decision making.

Andrew Zhukovski

Andrei Zhukouski is the Chief Strategy Officer at software provider TYMIQ and Senior Consultant at IoT solution Prylada.

“The most important data migration trends in 2023 and beyond are…”

Cloud-to-cloud migrations

The trend to migrate a company’s IT infrastructure to the cloud is coming to an end, simply because the companies to which that applied already finished their migration. Every company selected a cloud provider several years ago, and now has deep expertise in this area. It's time to optimize costs and reconsider this choice. In the coming years, we will witness how more and many companies will be switching between different cloud providers and multi-cloud solutions, created not only to improve the systems, but also as a tool to reduce costs.

Data storage decentralization

Data differentiation by its type and purpose was always a critical aspect of storage control. The choice of a specific solution for the place and form of data storage opens up more opportunities for building an efficient system. The trend towards fragmentation and decentralization of data

storage will gain momentum in 2023. The hype from technologies like blockchain has already subsided, and conservative companies are starting to slowly dive into this and similar technologies to solve standard problems in a not quite standard way.

Greater migration from structured to unstructured data

Structured data is slowly becoming archaic due to the additional labor required to support the evolution of products and solutions. This is a limitation that companies are happy to get rid of at the earliest opportunity. Unstructured data partially solves this problem, and therefore it is gradually becoming the default choice for many companies. A complete rejection of structured data will hardly happen (there will always be “immutable” entities), but its use will inevitably decrease to a certain constant level, and then will be fixed.

Focus on complex data anonymization

Decentralization, unstructured data, mutl-cloud solutions, and other trends will directly affect the complexity of the anonymizing data task. This opens the market for solutions that can solve this problem for companies by offering a unified solution. In 2023, we will still observe in-house custom solutions, but the issue is already gaining ground.

Protection, protection, and once again protection

This issue is always present, but in 2023, it will become difficult for companies in terms of data protection. The complexity level of storage systems and solutions is growing. This will inevitably lead to an increase in dependencies and potential vulnerabilities. On the other hand, a data leak

from one source will become useless for the thieves, and they will have to compare data from different sources to profit. This will both complicate the life of thieves and raise the need for enhanced protection of even non-critical system data. Leakage of seemingly unimportant data may lead to serious damage when compared with data from other systems.

If you’re planning a data migration in the coming years, these trends are important considerations — such as cloud migration, the use of multi-cloud environments, and the power of AI and automation to streamline data migration processes — when developing your migration strategy. Keep your data secure, no matter where you migrate it to, with Digital Guardian's Enterprise DLP solution.