February 2016 Blog Posts (5)

DB2 11 for z/OS Optimzer Complimentary Whitepaper and Webcast Replay

Did you miss Terry Purcell present the  webcast yesterday Title:- "Real Time Analytics Query Performance with DB2 for z/OS" ? Don't worry it is available on replay. Listen to this top preforming webcast anytime, any place using any device. Just Click here to access the recording: http://ow.ly/VCVfY.

We had nearly 800 registrations so this is another record…

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Added by Surekha Parekh on February 24, 2016 at 12:06 — No Comments

IBM DB2 for z/OS in the age of cloud computing

IBM DB2 for z/OS in the age  Of cloud computing

Reliability, availability, security and mobility

 

 

Highlights

• Highly virtualized server that supports mixed workloads

• Self-serving capabilities in private, membership or hybrid cloud environments

• Divisional support of responsibilities

• Customized implementations to suit…

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Added by Surekha Parekh on February 22, 2016 at 12:00 — No Comments

Convert JSON data to Relational Format

DB2 11 for z/OS offers document storage support for JSON. The JSON data is stored internally as BSON (Binary-encoded Serialization of JSON) in inline BLOB column.

 

DB2 11 for z/OS provides the following SQL APIs to manipulate JSON data:

 …

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Added by Jane Man on February 19, 2016 at 19:00 — 2 Comments

Using the new DB2 for z/OS Temporal Special Registers

“As time goes by…..” DB2 for z/OS continues to enhance support for temporal data. Since the availability of the initial temporal support with DB2 10 for z/OS, the functionality has been extended several times. The subject of this article is one of the temporal extensions, the temporal special registers, introduced in DB2 11 for z/OS. The temporal special registers allow you to easily “travel in time” as you run a query, and they are especially useful with packaged…

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Added by Claire McFeely on February 11, 2016 at 20:38 — No Comments

Why all this hype about Spark ? There's actually a very simple answer.....

I keep getting asked "Why is Spark so popular?"  My view is it comes down to addressing Four  major requirements :

(1) Easy access to the right data - spark abstracts a lot of complexities when accessing data and handles it in a uniform way using Resilient Distributed Data Sets and DataFrames - more on this in other blogs.  It can access local and remote data - depends on how critical performance is.

(2) Cognitive capabilities - the machine learning capabilities enables Spark…

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Added by Mark Simmonds on February 9, 2016 at 17:05 — No Comments

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ADM10501W - Health indicator "Database Automatic Storage Utilization"

Started by ONLO in Application Development and DB2 Jun 16. 0 Replies

AIX Version 6.1DB2 10.5.6Hi every body,I got the above error:MESSAGE : ADM10501W Health indicator "Database Automatic Storage Utilization" ("db.auto_storage_util") breached the "upper" warning threshold of "80 %" with value "88 %" on "database"…Continue

DB2 Future

Started by Peter E Saxe in Application Development and DB2 May 20. 0 Replies

Has anyone ever submitted ideas of new functions in DBMS software like DB2?   have an idea for a future enhancement to DB2 that I would like to see.  Is this discussion area a good place to discuss this ?  Thanks.Continue

Tags: Enhancements, Future, DB2

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