You can reduce storage costs AND improve performance when you choose Oracle’s approach to managing data growth. Read how Information
Processing Center reduced their operational database resources by more than
400% using Oracle Advanced Compression. Likewise,
found that it increased the performance of its
PeopleSoft reporting environment by reducing the time to complete certain nightly
extracts from 12 hours to four. Deutsche
Börse AG used a combination of compression and partitioning to reduce their
storage requirements which had grown by 50% to 24 terabytes and achieve optimal performance by partitioning fact
tables with more than 1 terabyte. Health
Market Science also used this combination to manage data growth more cost effectively.
To learn how they did it, listen to Oracle Database expert Kevin
Jernigan describe how to reduce your database storage footprint and costs.
Use these simple tools to help you compare the
savings with and without compression and assess your
storage environment for optimal performance and cost savings.
Oracle's approach to managing data growth is just one of three
compelling reasons to upgrade to Oracle Database 11g.
Have a happy and prosperous New Year!