Category Archives: Application Retirement
Healthcare and Application Retirement Part 1
In this video, Richard Cramer, chief healthcare strategist, and Claudia Chandra, senior director, product management, ILM, Informatica, discuss healthcare and application retirement.
During this discussion (the first of two videos), Richard and Claudia cover the following topics as they relate to healthcare:
- The business case for application retirement
- Additional drivers for application retirement
The second video, discusses application retirement project scope, enterprise IT initiatives and how application retirement is the fastest way for IT to save money now.
How Do You Handle the Recent Storage Shortage?
Gartner hosted a webinar on January 10, 2012: Gartner Worldwide IT Spending Forecast. One of the topics covered was industry IT spend for 2012.
In covering that topic they made a point of saying that due to severe flooding in Thailand, they expect storage to become in short supply (as much as a 29% global shortfall) through the end of 2012. It is expected that the price of storage/GB will increase as a result and supplies will fall short of demand. They recommended finding alternatives to purchasing storage to keep costs down. (more…)
Enterprise Applications Myth #2: You Only Need to Focus on the Application in Any Modernization Initiative
This is the second in a series of myth-busting posts. Myth #1 was “Apps and Data Live and Die Together“.
Myth #2: When embarking on an application modernization initiative, either doing a significant application upgrade or entirely replacing legacy applications, you really only need to focus on the application and making sure that it aligns with your business processes.
Fact: Managing and migrating data is a top priority in any application modernization initiative, and neglecting the data can introduce huge risk to the project. (more…)
What You Should Know When Buying a Home in the Cloud for Your Archived Data
A recent IDC report says that we should expect enterprise spending on private cloud storage will grow by 28.9% between now and 2015. At the same time, the report also indicates that big data and archival are among the key drivers of this growth. It is not surprising that organizations are seeking new cost savings alternatives. Private and public cloud deployments are just the next extension of outsourcing. By definition, archived data are inactive data that’s infrequently or rarely accessed, and perhaps needed only for compliance audits or eDiscovery. It is therefore ideal for storage in the cloud. Cloud storage also accommodates for the on demand, elastic growth of aged, archived, and retired data. (more…)
Dodd-Frank Legislation and Structured Data Retention
The “Dodd-Frank Wall Street Reform and Consumer Protection Act” has recently been passed by the US federal government to regulate financial institutions. Per this legislation, there will be more “watchdog” agencies that will be auditing banks, lending and investment institutions to ensure compliance. As an example, there will be an Office of Financial Research within the Federal Treasury responsible for collecting and analyzing data. This legislation brings with it a higher risk of fines for non-compliance. (more…)
Don’t Forget to Manage the Retention and Disposal of Data on Hadoop
According to an article written by Mark Brunelli interviewing James Kobielus of Forrester Research: Forrester’s Kobielus: It’s time for a Hadoop standards body, Hadoop is still a bit immature and needs adoption of standards. Mr. Kobielus goes on to indicate that when implementing Hadoop, “whether it’s through a data warehouse or Hadoop cluster, you’re talking about petabytes or multiple hundreds of terabytes worth of storage.” Hadoop, while designed to access these large data volumes (which can include social media data), does nothing to manage retention of that data. (more…)
Enterprise Applications Myth #1: Apps and Data Live and Die Together
This is the first in a series debunking three common myths about enterprise applications and the data that drives them.
Myth: Enterprise applications and the data in them live and die together.
Fact: Applications and data have different lifecycles. Sometimes the life of the data is shorter than the application. Sometimes it is longer. Either way, the friction between the two raises the cost and complexity of sustaining your applications. To get this under control, you have to have a separate approach for managing the data vs. managing the application. (more…)
Seven Essential Best Practices For Data Center Consolidation
Data center consolidation is much more than physical movement of servers and infrastructure. In fact, the facility costs and power savings are just the tip of the opportunity. The biggest benefits come from using the consolidation initiative as a catalyst to rationalize the application portfolio, archive inactive data and establish one version of the truth for the data that is left. (more…)
Addressing the Big Data Backup Challenge with Database Archiving
In a recent InformationWeek blog, “Big Data A Big Backup Challenge”, George Crump aptly pointed out the problems of backing up big data and outlined some best practices that should be applied to address them, including:
- Identifying which data can be re-derived and therefore doesn’t need to be backed up
- Eliminating redundancy, file de-duplication, and applying data compression
- Using storage tiering and the combination of online disk and tapes to reduce storage cost and optimize performance (more…)
The Future of Applications (2): Lowering Costs and Complexity
This is my second blog in a series on the subject of “Informatica & Applications”. You can read my previous blog here:
It’s strange how IT has become so complex. When we started out so many years ago computing was the answer to everything. It was going to make us more productive and was going to allow us to spend so much more time with our loved ones. Do you remember that time when people said “we’ll have a paperless office, and we’ll be finished by 5pm.”?
I wish!
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