Tag Archives: performance

What is In-Database Archiving in Oracle 12c and Why You Still Need a Database Archiving Solution to Complement It (Part 2)

In my last blog on this topic, I discussed several areas where a database archiving solution can complement or help you to better leverage the Oracle In-Database Archiving feature.  For an introduction of what the new In-Database Archiving feature in Oracle 12c is, refer to Part 1 of my blog on this topic.

Here, I will discuss additional areas where a database archiving solution can complement the new Oracle In-Database Archiving feature:

  • Graphical UI for ease of administration – In database archiving is currently a technical feature of Oracle database, and not easily visible or mange-able outside of the DBA persona.   This is where a database archiving solution provides a more comprehensive set of graphical user interfaces (GUI) that makes this feature easier to monitor and manage. 
  • Enabling application of In-Database Archiving for packaged applications and complex data models – Concepts of business entities or transactional records composed of related tables to maintain data and referential integrity as you archive, move, purge, and retain data, as well as business rules to determine when data has become inactive and can therefore be safely archived allow DBAs to apply this new Oracle feature to more complex data models.  Also, the availability of application accelerators (prebuilt metadata of business entities and business rules for packaged applications) enables the application of In-Database Archiving to packaged applications like Oracle E-Business Suite, PeopleSoft, Siebel, and JD Edwards

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Posted in Application ILM, Data Archiving, Data Governance, Governance, Risk and Compliance | Tagged , , , , , , | Leave a comment

What is In-Database Archiving in Oracle 12c and Why You Still Need a Database Archiving Solution to Complement It (Part 1)

What is the new In-Database Archiving in the latest Oracle 12c release?

On June 25, 2013, Oracle introduced a new feature called In-Database Archiving with its new release of Oracle 12.  “In-Database Archiving enables you to archive rows within a table by marking them as inactive. These inactive rows are in the database and can be optimized using compression, but are not visible to an application. The data in these rows is available for compliance purposes if needed by setting a session parameter. With In-Database Archiving you can store more data for a longer period of time within a single database, without compromising application performance. Archived data can be compressed to help improve backup performance, and updates to archived data can be deferred during application upgrades to improve the performance of upgrades.”

This is an Oracle specific feature and does not apply to other databases.

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Posted in Application ILM, Data Archiving, Data Governance, Governance, Risk and Compliance | Tagged , , , , , | Leave a comment

Data Virtualization Quick Tips

The ability to create abstract schemas that are mapped to back-end physical databases provides a huge advantage for those enterprises looking to get their data under control.  However, given the power of data virtualization, there are a few things that those in charge of data integration should know. Here are a few quick tips.

Tip 1:  Start with a new schema that is decoupled from the data sources. (more…)

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Posted in Data Services | Tagged , , , , | Leave a comment

Three More Things to Consider Around Big Data and Data Integration

Those moving to Big Data, and that is a lot of enterprises right now, should also consider the need for data integration to support their new data platform.  In many cases, the use of proper data integration procedures and technology is an afterthought.  However, with a bit of planning and the right data integration technology, the transition to Big Data can be a smooth and productive one.  Here are a few things to consider:

Data quality becomes even more important.  Considering that Big Data systems, no matter if they are within the cloud or the data center, manage massive amounts of data, both structured and unstructured.  Thus, the ability to manage data quality becomes more of a priority. (more…)

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