There have been several high visibility data exposures in the news over the last year or so. As a Db2 DBA, one of your responsibilities is the protection of the data your business needs to run. Your auditors, internal and external, may be demanding action to protect your valuable Db2 data.
As the size of database and the volume of transactions increase, many of Db2 transactions tend to spend significant amount of wait time in database read and log write I/Os.
zHyperLink is introduced to help reduce b2 transaction latency.
In 2007, Db2 Version 9 introduced decimal floating point (DECFLOAT) as a new SQL data type. Since then, the storage and data manipulation of DECFLOAT(16) and DECFLOAT(34) data types have been supported. But what about DECFLOAT performance? And performance improvements of this datatype?
IBM’s Db2 Analytics Accelerator (formerly called “IDAA”) has been available for over 8 years, as IBM bought Netezza in 2010. However, many Db2 professionals still don’t have exposure to this technology.
In this article, we get an overview of IBM Watson Machine Learning for z/OS (WMLz) as a machine learning solution that can run on IBM Z as a solution to automate machine learning workflows and how it can offer essential insight from your Db2 environments.