Atlantis: The Top 10 Considerations for Data Reduction
The unexpected rate of increase of growth of data is increasingly forcing customers to make a choice between managing their IT the traditional (and often expensive) way and looking at newer (and often smarter) alternatives that deliver more at lower costs using data reduction technologies. While every alternative generally delivers some sort of efficiency, customers might be surprised and dismayed when their chosen technology ends up delivering lower data reduction than they anticipated. A lower data reduction often forces IT leaders to go back to their businesses and ask for more budgets – an unwelcome conversation that no one looks forward to having. How can we avoid this and set the right expectations up front?
Understanding the available data reduction technologies, with their strengths and weaknesses is a good place to start with. But perhaps as important is to understand your own data set. E.g. hoping for a high level of data reduction on an already compressed file format is just that, a hope. On the other hand, there is a widespread misconception that introducing data reduction technology will necessarily, or at least in most cases, impact application performance. This used to be true in the early days of what I term as phase 1 of data reduction, where the general guidance seemed to be to turn off data reduction when CPU utilization went above a certain threshold (typically 30%). Thankfully it is possible to actually improve performance with data reduction technologies these days!
Read the entire article here, The Top 10 Considerations for Data Reduction