Data Management
Data Management news, analysis, research, how-to, opinion, and video.
Making sense of application data management
Business solutions start with clear definitions of data
GDPR may well kill enterprise blockchain databases
The secure ledger technology sounds like a godsend for all sorts of databases—until you examine how GDPR’s PII management gets in the way
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70 Petabytes, One Cloud Backup Solution: The Oath Story
In our new webinar, you'll learn how Oath, Inc., a global enterprise digital media company, was able to reduce its data protection costs by 67% while realizing increases in scalability and backup ingest performance. Working with AWS
The 3 Cs from data to digital transformation
Designing the right data solution for modern applications requires sound research and understanding of what is available both outside and, more important, inside your company
How to choose the right data-integration tools
For data integration, pipelining, and wrangling data: Here are the seven types of tools you should build your data tool set from
Making intelligent data hubs a reality
Beyond buzzwords and analyst-speak, putting data into practice
Helping your workforce become data-literate
How to start building a data-literate organization without extensive training
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Availability for Today's Multi-Cloud Enterprise
In today's era, organizations are increasingly adopting multiple cloud services, including public, private and hybrid clouds to meet increased agility, innovation and cost management goals. Veeam ensures Availability in these
GDPR and the cloud: What you need to know
The new data regulations from Europe will cause issues for enterprises that use cloud computing. Here is what you need to know to stay out of trouble
Think protecting your unstructured data is hard? Imagine protecting the data generated by the Olympics!
Something to think about the next time you watch downhill skiing!
MongoDB will support multidocument ACID transactions
MongoDB 4.0 will be released in summer 2018 but is in public beta now
Grand stack aims to simplify data-intensive app development
The JavaScript-centered beta stack from Neo4j uses a strict schema for the API, driving the database model, and translating GraphQL queries
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Should Backup Software Companies Build and Appliance?
There are many choices when it comes to backup appliances. Whether they are integrated hardware and software solutions or specialized devices used as backup targets, backup appliances can streamline deployment and scalability while
Shopping for data: what’s fit for your purpose?
The data catalog (or data marketplace) makes finding and accessing data easier, another step toward data democratization
Data governance: the key to building consistent, outstanding digital experiences
The investment required for data governance is the price organizations must pay for their teams to have access to the right data at the right time
Data quality goes big-time with GDPR in 2018
To the extent an organization can get back to the basics of mastering their data, they will not only meet the new requirements imposed by GDPR, but treat that data with the respect it deserves
AWS cloud services guide: The right tools for the job
Here are the most common uses for the cloud and which Amazon Web Services components you need for them
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Migrating Data in a Legally Defensible Manner
This PREX17 session summary, "Migrating Data in a Legally Defensible Manner," offers answers. It covers data migration in detail, laying out the risks, rewards and potential pitfalls.
Hybrid storage in 2018: still the Achilles heel of hybrid cloud strategies?
Hybrid has become better understood and less risky, but is still far from simple
Your company is getting pumped about AI—but is your data ready?
Before you can implement AI, it’s important to get your data in order. Here are some steps to effectively accomplish that goal
In the rush to big data, we forgot about search
In the cloud era, we need to look at search to be the glue that lets us find the data and analyze it together, no matter where it lives
No, you shouldn’t keep all that data forever
Most of your old data is useless trash. So throw it away, rather than spend all the time and money hoping AI will figure something out about it
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