There is a silent problem in many organizations and that problem is data, or more specifically, the lack of governance over data. The penalty for lack of data governance is permanent and pervasive; the negative consequences can vary from merely annoying to facilitating the downfall of an organization. Read on to learn more.
A big data environment means a change in the way database administrators design and manage corporate data. These changes will affect the way applications must be coded and tested in order to ensure data availability and application performance.
Data warehouses are different. They are not a system of record, they are designed for data availability, database recovery has a low priority, and the physical database design is typically non-relational. Consequently the database administrator tends not to implement things such as referential integrity, triggers, and regular backups, forcing the DBA to look at performance tuning the data warehouse in a different way.
Thinking about upgrading to a new version of DB2 for z/OS? Of course you are! What are the biggest migration concerns? Lockwood Lyon shares the top ten migration issues.
In the z/OS environment, tuning a DB2 subsystem may require the DBA and systems programmers to wear multiple hats and approach overall performance tuning from several different angles. What approaches are best in which situations?
Data warehouses pose unique management challenges for DBAs, business analysts and others. Here's a template for getting everyone to work together for the good of your organization.
Here are the best strategies that define a successful and competent database administrator (DBA). They are presented in the context of DB2 on z/OS, but are applicable across all hardware platforms and database management systems.
Monitoring an ERP application suite involves using several basic measurement techniques - and separating ERP package performance measures from those of other applications.
A Guide to Better Risk Management for DB2 LUW DBAs02/10
IBM DB2 DBAs intuitively deal with risk identification and management every day, yet they may still be impacted by risk management in ways that they may not recognize. Rebecca Bond discusses seven steps to help DB2 LUW DBAs better understand Risk Management.
Data in Memory01/28
In-memory databases are becoming increasingly popular and an ever-more important factor in performance-critical activities such as stream processing and deep data analytics. Join Julian Stuhler as he delves into the world of in-memory databases: a technology thats both reassuringly familiar and intriguingly novel at the same time.