– TRUE UNSTRUCTURED DATA MANAGEMENT IN A MULTI‑VENDOR, MULTI‑CLOUD WORLD
By now it is common knowledge that unstructured data is growing out of control. So the question everyone is asking is, how do you truly manage unstructured data in the multi‑vendor, multi‑cloud environments that are becoming the norm?
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All For One And One For All: Improving Data Mobility With Version 5.12
If you’re already familiar with Datadobi, you know that we focus on unstructured data. This presents a unique data mobility problem domain separate from SAN-based block storage datasets.
It’s a huge challenge to migrate and/or protect the hundreds of millions to billions of files and objects that are common in today’s storage environments. To that end, Datadobi is constantly investing in new technologies and methods that allow us to work with these datasets in more and more efficient ways.
System Integrators Need to Modernize or Lose Out
For many enterprise-scale organizations, managed system integrators (SIs) have become the ‘go-to’ outsource partners for a vast variety of strategic technology requirements and niche challenges. Using this approach, a project is often transferred from the customer to the SI, and while this offers some very well-established benefits, customers can also become distanced from key processes and find they are unable to respond effectively to changing requirements.
How DobiMigrate is Winning the Data Migration Race
Enterprises are typically very concerned about how long it will take to complete a data migration project. After all, prolonged migrations can cost organizations hundreds to thousands of dollars. As a result, many data migration solution providers have prioritized speed over all other factors.
A Data Migration Mystery Solved – Can an Active Directory Object Have Two Security Identifiers?
Recently, I was working with a customer who wanted to test using a Security Identifier (SID) Map file in DobiMigrate. For those unfamiliar with SID mapping, DobiMigrate has the ability to replace source SIDs with new SIDs as the data is written to the destination file server, and can do the same for User IDs (UIDs) and Group Identifiers (GIDs).
DobiMigrate CTA Bypass with Unity and S3
In an earlier blog post, we provided details about a specialty data migration we call “CTA Bypass,” which is a unique way to speed up what is normally a very slow migration. And when I say slow, I mean periods involving months or even years to migrate the data – not exactly the speeds needed in the current world where the ability to do everything quickly, including migrating data, is of the utmost importance.
Cloud-Based File Storage in a Post-Pandemic Economy: Why Migration Matters
Cloud-based file storage has grown massively during the pandemic as organizations embraced remote working environments. Global enterprise companies were able to adopt effective, proven technologies offered by market-leading brands without the need for sudden infrastructure spend, while employees got the file storage they needed without having to think too much about the process or where files would reside.
Beyond Due Diligence: Why Reporting in Enterprise Data Migration Matters
The successful completion of a data migration project is highly dependent on the data management vendor you choose. Enterprise organizations need to evaluate several factors when choosing a data management vendor, including the level of effort and associated cost of the solution, the time it will take to complete the data migration project, and the support services the vendor offers.
Hyperscalers and Understanding Data Migration Software Solutions: The Key to Success is Smart Migration
Migrating large amounts of data between different platforms requires specialized software and knowledge — both of which inexperienced teams might lack. The key is for enterprises embarking on a data migration journey to focus on delivering the best possible outcome rather than choosing the path of least resistance hoping it will all work out.
Will History Repeat Itself?
We have come a long way since the days when companies believed that Robocopy, rsync, and vendor migration tools were good enough for their data center transitions. After experiencing pain with old tools, most of those companies are now loyal customers of Datadobi. Not if we can help it. The unstructured data management market is…
Many Public Cloud Providers (Hyperscalers) Don’t Understand Unstructured Data Migration – And That Creates Risk
As all traditional storage vendors now acknowledge, migrating large amounts of data between different platforms requires specialized software and specialized knowledge and cannot be effectively delivered by hastily assembled tools run by inexperienced teams.
Data Protection in the Cloud: Azure Blob Storage
Almost everyone has a treasured asset that they keep well protected. For individuals, it’s often a cherished family photo or family heirloom. For organizations, one of the most valued possessions they have is their unstructured data — and for good reason.
Are You Keeping an Immutable Copy of Your Unstructured Data in The Cloud?
More and more enterprises are struggling with a situation I have been talking about for some time: the accelerating growth of unstructured data. With this tremendous growth comes a requirement to protect this data in almost all instances.
Providing Data Migration & Protection Support, Not Just Solutions
Organizations face a growing challenge in a world where IT consumption of cloud services is increasing. Businesses now need data management vendors that can support the company in addition to technology itself, particularly when it comes to data migration and protection projects.
Oh, the Places You’ll Go with DobiMigrate and DobiProtect
Moving homes can be quite the stressful endeavor, especially when you choose a moving company that isn’t qualified to handle your belongings. The movers may not understand the city you are moving to and your things could get lost, stolen, or otherwise damaged.
Compare, Contrast, Confirm: DobiMigrate Embedded Visibility Features
For IT teams, data inconsistencies are top of mind and can often lead to many a sleepless night wondering if the source and target will match when a migration is done. How do you prove the data is consistent bit by bit throughout the migration process and ensure a successful outcome?