SQL backup

4 SQL Server Backup Methodologies and the Pros and Cons of Each (1 of 3)

This is part 1 of a multipart series on Microsoft SQL Server data.  We're talking about SQL backups and copy data, different methods of using SQL copy data and creating them. To start, let's review the different backup methodologies for SQL Server databases.  There are really four different approaches that people use:

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actifio and Azure UltraSSD

Data Protection for Transactional Applications Running on Azure Ultra SSD

Today, Microsoft Azure announced a brand new storage tier, Ultra SSD, which delivers extreme performance for critical applications such as SAP HANA, MS-SQL, and other databases. Some salient features are:

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4 ways to protect data in GCP

4 Ways to Protect Data in Google Cloud

One of the first question that you should ask when moving to Google Cloud is how to protect your data.  Given the increasing importance of information, data protection is more critical than ever. In this blog post, we will look at the pros and cons of four ways to protect data in Google Cloud.

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Data protection in the cloud

SAP HANA Data Protection in the Cloud

Jay Livens and Ashok Ramu dig into using Actifio for SAP HANA data protection in the cloud

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SAP Certified HANA data Protection

SAP Certified Data Protection Solution for SAP HANA

Jay and Ashok discuss Actifio, the SAP Certified data protection solution for SAP HANA

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What is Azure Stack

What to expect with Azure Stack

Learn about Microsoft Azure Stack from Ashok Ramu, Actifio's VP of Cloud Products and Partnerships.

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6 Questions You Should Be Asking About Your Disaster Recovery Plan

You can plan for it, you can train for it, and you can create as many systems designed to prevent it as you want, but at the end of the day, disasters still occur, and they happen when we least expect them. Whether it’s a natural disaster that knocks a data center offline, or a cyberattack that ravages critical systems, there’s no shortage of damage that can happen to the business. In fact, Gartner cites that companies can lose an average of $5600 per minute in an outage--equalling out to a whopping $300,000 per hour.

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Spreading the Joy of Backup

At Actifio, we’re all about the data. Your data. How you manage it, use it, share it, protect it. And, coming away from our participation in a recent Gartner enterprise IT event, I’m amazed at how frustrated so many enterprises remain in accomplishing each of these essentials. Again and again visitors to our booth made it clear that the challenges of Backup/DR have not been solved for the vast majority. They aren’t happy with the complexity, cost and resources consumed. They’re fed up with the proliferation of disparate uncoordinated tools. And, most of all, they’re exasperated by poor performance. Backups take forever and recovery even longer – if it works at all.

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Think Different: How to Modernize Modern Data Backup

Breakthroughs begin with new thinking. Last September marked the eighteenth anniversary of Apple’s “Think different” marketing campaign. Featuring pictures of Edison, Picasso, Rosa Parks, Einstein, Maria Callas and other well-known thinkers, we were encouraged to join in, to “Think different” – to stand out from a crowd. Few would dispute that Apple has successfully done that for nearly two decades. Thomas Watson’s famous “THINK” signs posted all over NCR and later, IBM, supposedly inspired the slogan. The implication being that Watson would agree with Jobs in honoring “the ones who see things differently”, because “they invent, they explore, they create.” “Because the ones who are crazy enough to think that they can change the world, are the ones who do.”

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Enterprise Data Control – How bad could it be?

Maintaining data control is an essential objective for Actifio customers. It’s much more than managing data copy counts. It’s providing data protection while managing appropriate access and assuring necessary compliance. It’s protecting the enterprise. In all of this, attaining confident data governance and control presents a broad set of challenges. It starts with clear visibility. How many data instances exist as backups, snapshots or development copies? What data is being copied or left unprotected? Who has access? Is there an audit trail? What steps are needed to improve control of enterprise data, to keep it both useful and safe?

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