Informix Enterprise Replication is a powerful way to replicate data assets across distributed installations and keep them consistent.
Customized use of the Admin-Scout thanks to the new role concept
With the ONCONFIG Explorer, Admin-Scout 3.2 offers a completely new module for managing ONCONFIG variables.
The entire storage administration clearly arranged in one module!
Admin Scout 3.2 offers a long-awaited feature: easy comparison of the databases' structures in different instances.
Development
Revised user interface
We asked the question, which areas of an Informix database system have to be administered manually and where is it possible to set up an automated administration? The goal is to achieve increasing automation and independent optimization of the system through an interaction of sensors and tasks.
Already in the last versions many improvements were introduced for the security of the Admin Scout. It was very important for us that during a login no more passwords are transferred between Admin-Scout and the browser.
Important features for cluster configuration and better analysis of instances in a group
The Admins-Scout Dashboard is an extremely powerful and informative tool that gives you an overview of the state of your Informix servers
An Admin-Scout feature for fast analysis of DBSpacesSolving the Big Data Challenge of Sensor Data
IBM Webcast June-25-2013
Bernie Spang Director, Strategy and Marketing, IBM Database Software and Systems
Kevin Brown Chief Architect, IBM Information Management
Sensor Data Brings New Applications Across Industries
IT Challenges of Sensor Data Applications
- Sensors output data repeatedly over specified time intervals – Data system must be able to receive and process data at extremely high input velocities
- Data output is time-sequenced resulting in a different structure – Data system must be able to store large volumes of data in a scalable fashion and allow near real-time access to it
- Data naturally includes geospatial information – Data system must be able to efficiently store, correlate, and analyze data with repect to time and location
- There is a higher need to deal with communication failure – Data system must be extremely reliable and continue to operate in case of hardware failures
- Queries may need to access sensor data along with relational data – Data system must provide near real-time analysis of the collected data
Time Series Data is BIG DATA - Large amounts of data cause problems in 2 areas:
It’s expensive and difficult to manage
- Massive storage space required
- Sophisticated partitioning schemes needed
- Frequent reorganization leads to downtime
Poor query/analytic performance affects quality of service
- Compliance reports must be completed before the end of each day
- Customer portal queries must be handled in a timely manner
- Customer billing must be completed each day
Accessing TimeSeries Data with Informix
- Access through standard tabular view – Makes TimeSeries look like a standard relational table
- SQL Interface – 100+ functions
- Extensive library of API functions – Write your own functions in Stored Procedure Language (SPL), “C”, Java
Solving the Big Data Challenge of Sensor Data Webcast (2013-06-25)
Discover hassle-free data management with IBM Informix
