Tag Archives: application archiving
Continuing the tour of our Data Governance Framework, it’s time to discuss the corporate policies that must be documented to form the foundation of your data governance efforts. When defined, approved, evangelized and enforced appropriately, these policies have the power to accomplish a feat that grassroots data governance efforts fail at repeatedly: Evolving your corporate culture to one that actually does manage data as an asset.
The “Dodd-Frank Wall Street Reform and Consumer Protection Act” has recently been passed by the US federal government to regulate financial institutions. Per this legislation, there will be more “watchdog” agencies that will be auditing banks, lending and investment institutions to ensure compliance. As an example, there will be an Office of Financial Research within the Federal Treasury responsible for collecting and analyzing data. This legislation brings with it a higher risk of fines for non-compliance. (more…)
Data center consolidation is much more than physical movement of servers and infrastructure. In fact, the facility costs and power savings are just the tip of the opportunity. The biggest benefits come from using the consolidation initiative as a catalyst to rationalize the application portfolio, archive inactive data and establish one version of the truth for the data that is left. (more…)
As a final part of our series, Architecting A Database Archiving Solution, we will review a process I use to assess a client’s existing Total Cost of Ownership of their database application and how to justify a database archiving solution. The key metrics I begin with are listed below and explained:
During this series of “Architecting a Database Archiving Solution”, we discussed the Anatomy of A Database Archiving Solution and End User Access Requirements. In this post we will review the archive repository options at a very high level. Each option has its pros and cons and needs to be evaluated in more detail to determine which will be the best fit for your situation.
Series: Architecting A Database Archiving Solution Part 3: End User Access & Performance Expectations
In my previous blog as part of the series, architecting a database archiving solution, we discussed the major architecture components. In this session, we will focus on how end user access requirements and expected performance service levels drive the core of an architecture discussion.
End user access requirements can be determined by answering the following questions. When data is archived from a source database:
- How long does the archived data need to be retained? The longer the retention period, the more the solution architecture needs to account for potentially significant data volumes and technology upgrades or obsolescence. This will determine cost factors of keeping data online in a database or an archive file, versus nearline or offline on other media such as tape. (more…)
Before we can go into more details on how to architect a database archiving solution, let’s review at a high level the major components of a database archiving solution. In general, a database archiving solution is comprised of four key pieces – application metadata, a policy engine, an archive repository and an archive access layer.
Application Metadata – This component contains information that is used to define what tables will participate in a database archiving activity. It stores the relationships between those tables, including database or application level constraints and any criteria that needs to be considered when selecting data that will be archived. The metadata for packaged applications, such as Oracle E-Business Suite, PeopleSoft, or SAP can usually be purchased in pre-populated repositories, such as Informatica’s Application Accelerators for Data Archive to speed implementation times.
Policy Engine – This component is where business users define their retention policies in terms of time durations and possibly other related rules (i.e. keep all financial data for current quarter plus seven years and the general and sub ledgers must have a status of “Closed”). The policy engine is also responsible for executing the policy within the database, and moving data to a configured archive repository. This involves translating the policy and metadata into structured query language that the database understands (SELECT * from TABLE A where COLUMN 1 > 2 years and COLUMN 2 = “Closed”). Depending on the policy, users may want to move the data to an archive (meaning it is removed from the source application) or just create a copy in the archive. The policy engine takes care of all those steps.
Archive Repository – This stores the database archive records. The choices for the repository vary and will be determined based on a number of factors typically driven from end user archive access requirements (we will discuss this in the next blog). Some of these choices include another archive database, highly compressed query-able archive files, XML files to name a few.
Archive Access Layer – This is the mechanism that makes the database archive accessible either to a native application, a standard business reporting tool, or a data discovery portal. Again, these options vary and will be determined based on the end user access requirements and the technology standards in the organizations data center.
In the next series, we will discuss how End User Access and Performance Requirements impact the selection of these components in further detail.
Julie Lockner, Founder, www.CentricInfo.com
Classifying databases data for an ILM project requires a process for categorizing and classifying that involves the business owners, Records Management, Security, IT, DBA’s and developers. In an ideal scenario, a company has documented every single business process down to data flows and database tables. IT can map database tables to the underlying infrastructure. Since most of us work in realistic scenarios, here is one approach you can take to classify information without knowing all the interrelations.�
Many of my clients struggle with how to design a database archiving solution. Database archiving is not as clean as email or file archiving. Project owners who have done their research understand why they need an archiving solution: either to address performance degradation or increased costs (or both) due to uncontrolled data volume growth in their production databases. Where help is appreciated is during the planning phase of a project and defining what requirements are critical and how those requirements translate into an archive architecture.
Oracle has been relatively quiet of late about Oracle Fusion Applications availability. But as the first applications are scheduled to rollout this year (2010), it might be a good time to revisit your upgrade to Fusion Applications plans. Is data archiving part a of it? If it isn’t, it should be.