Top 5 data migration trends for 2022
Data, it seems, still needs to be migrated. Whether it’s end-of-life systems to the latest and greatest, from premises to the cloud, or operational systems to a long-term archive, data is always on the move.
Here are five trends in the data migration market:
1. Migration of unstructured data
In 2022, CIOs will remain focused on infrastructure modernization projects that support evolving data and workflow requirements resulting from the continued explosion of next-generation applications, the cloud, Internet of Things (IoT), edge and work environments from anywhere. Topping the list of most priorities will be Digital Transformation (DX) initiatives that target unstructured data. While “structured” data (eg databases) is far from obsolete, “unstructured data” (documents, images, videos, etc.) is the fastest growing category of data. fast within the company.
“It will therefore be essential for CIOs and their teams to use solutions that allow them to migrate unstructured data quickly, securely and accurately to its ideal platform, and then to effectively manage its protection and its lifecycle”, said Steve Leeper, vice president of product. marketing at Datadobi.
“Most important, however, will be to move unstructured data to the right place to conduct analytics, machine learning and business intelligence activities, enabling profitable business decisions to be made quickly.”
He makes a good point. Many unstructured data migrations are done to make data accessible to artificial intelligence (AI) and analytics applications. In some cases this data is simply moved internally, but in other cases the information needs to be moved to the cloud.
2. Consolidation of the migration software
There was a time when software was only available for a specific type of migration, such as moving data from a legacy application to a modern system. More recently, cloud providers have designed software that has helped organizations move large amounts of capacity to the cloud. In addition, they developed hardware that could be sent to the site so that all the data could be loaded onto the box and then shipped to the cloud provider. This prevented network overload when trying to migrate all this data over the web.
But the reach of data migration software has widened, according to Surya Varanasi, CTO at StorCentric. Distribution solution providers and end users demand intelligent, cloud-ready data migration software that helps them break down data silos.
“In 2022, users will demand a complete software solution that enables vendor-independent file migration, replication and synchronization across heterogeneous storage environments, including disks, tapes, and public or private clouds,” said Varanasi. “By doing so, users will eliminate data silos, improve employee productivity, and provide an additional layer of data protection.
“Users won’t settle for less than a non-proprietary server capable of handling millions of files. It must be able to define intelligent policies based on the specific requirements of an organization and integrate with current infrastructure and supported S3 compatible clouds, so that users can take advantage of cloud infrastructures.
3. Data-driven migrations
Data migrations are widely seen as inevitable, risky and painful. Every three to five years, users had a hardware refresh that forced a lift and massive change. The move to the cloud only added to the complexity, as migrations had to be done over a wide area network (WAN).
The term data-driven migration is starting to gain popularity; rather than planning migrations in terms of storage volumes, a data-driven approach can divide work into smaller segments. By analyzing the data first, then migrating or moving by workload, data type, or other key value, you can be more agile. This breaks up what had been a massive and disruptive task into smaller bites that are also easier to manage with less risk.
“Data-driven migrations are especially relevant when customers transition to the cloud,” said Steve Pruchniewski, Director of Product Marketing at Komprise.
“The idea is that you’re not doing a mass migration from the on-premise site to the cloud, but rather moving the right set of data to the right cloud service to deliver the performance, functionality, and cost you want. This is also in line with the current trend for multi-cloud environments. “
This data-driven approach also offers the possibility of continuously optimizing data placement. With a data-centric approach, you can put data in the right place, so it’s always in the right place at the right time.
4. Database migrations
The databases were always internal. But John Kutay, director of growth and products at Striim, has a strategic migration of entire databases to optimize resources, reduce costs and embrace modern elements of the IT stack, such as moving the database to public cloud or hybrid cloud. Increasingly, internal databases are migrating to the cloud where they can more easily be linked to analytics, customer-centric strategies, marketing and other business systems.
5. Cloud-to-cloud migration
Previously, migrations were mostly from on-premises to the cloud. Nowadays, most migrations are done from one cloud to another. Whether it’s for resiliency, better discounts from another vendor, or for data recovery (DR) purposes, businesses are moving their data to the cloud.
“There is a definite trend to move data and applications cost effectively and quickly from one cloud to another,” said Greg Schulz, analyst at StorageIO Group.
Yes, there can be high speed networks between cloud providers. However, one of the challenges people are waking up to is that generally it’s free to put data in a cloud, but you are charged to remove it. Thus, there is a trend in awareness of data being released from the cloud and what can be done to reduce that impact.