5 ways DBAs Enable application development to grow topline revenue

5 Ways DBAs Enable Application Development to Grow Topline Revenue

Not so long ago, there used to be a time when the roles of DBAs and application developers (using the databases) were fairly distinct. DBAs, true to their name, were really database administrators. They were primarily tasked with creating objects (views, tablespaces, indexes), backed up and recovered data, and managed the use of disk resources and in general, looked after the database environment end to end.

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why you need data masking for Oracle test data management

5 Reasons Why You Need Data Masking for Oracle Test Data Management

In the world of Oracle DevOps, agility is key and yet it must be balanced with information security.  Unfortunately, the headlines are filled with stories of companies who have not gotten the balance correct resulting large scale data breaches that cost companies millions of dollars financially and countless more in reputation.  As you think about your risk, ask yourself “how many copies do I have of my critical databases with private customer information?” For most companies, the answer is “more than we would like.” Every database copy represents a potential target for a hacker, and so it is critical to have central control and to provide consistent and reliable masking.

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oracle data capture

Revolutionary Oracle Data Capture: The Pros and Cons of Oracle Backup Methods

Actifio's Mike Salins is back for another in-depth data focused review covering revolutionary Oracle data capture.

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oracle backup recovery test data management

Oracle Backup, Recovery & Test Data Management: Actifio vs Legacy Vendors

Even top cloud vendors like Salesforce & Amazon use Oracle database for one or more critical apps. The odds of finding an enterprise running a mission-critical application without an Oracle database is extremely low.

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Using SQL Copy Data for Data Protection, Test Dev and Analytics (3 of 3)

This is part 3 in our multi-part series on Microsoft SQL server, backups, recoveries, copy data management. In parts number one and two we covered SQL backups and SQL restores, in detail and talked about a lot of considerations, different approaches, pros and cons, and performance impacts. If you haven't watched those I highly recommend you do as we're building on that based on that knowledge for this particular part of the series.

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The Benefits of Deploying Data Management at Scale for Large Enterprises

We’re witnessing a very large digital transformation that’s happening in industry.  Everybody wants to leverage the cloud to make their enterprise data centers run like the cloud.  And one of the fundamental reasons to do this is the scale at which the data is evolving.

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test data management for devops

Implementing Test Data Management for DevOps: 5 Consideration Points

The new buzzword for DevOps is “continuous.”  We have continuous integration, continuous delivery, continuous obsolescence and for many developers, continuous consumption of Five Hour Energy.  Yes, the world of DevOps has radically changed development as we know it and will continue to do so for the foreseeable future.

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What it takes for a solution to scale with Enterprise applications

What it Takes for a Solution to Scale with Enterprise Applications

The last 5 years of IT evolution has forced enterprises to re-think their corporate strategy to stay relevant and competitive.  These enterprises are looking to become lean so they can focus on their core business while outsourcing the rest. Applications and the associated data, the crown jewels of an enterprise are meanwhile anchored in legacy data-center environments.  

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