Archiving services enable organizations
to manage their electronic records over time, to ensure cost-effective
storage and retrieval capabilities that meet compliance requirements
and business needs. Archiving solution design and deployment services
cover all types of electronic documents and application data, from
structured databases and email to unstructured file systems -- as
well as process documentation and knowledge transfer.
Identify archiving targets, design an archiving architecture that
fits the organization’s needs and resources, and facilitate
deployment of an effective archiving solution.
- Data analysis and archiving target selection for major data
types:
- E-mail and instant messaging
- Structured data and enterprise database applications
- Unstructured data / file servers
- Technical requirements analysis
- Strawman archiving solution design
- RFI/RFP definition and project management with vendors and
staff
- Vendor comparison summary and recommendation
- Deployment plan and budget
- Pilot implementation & testing plan
- Detailed deployment plan
- Reduces risks of data loss and non-compliance, by moving static
data and inactive records to archival storage
- Increases application service levels by removing inactive
data from production systems
- Reduces the need for server additions and upgrades
- Lowers storage costs by selecting appropriate archiving systems
and storage tiers for inactive data
Most records and data become less active over time, and the volume
of static data keeps increasing. Application performance falls, backup
and recovery take longer, batch jobs can’t complete, and IT
organizations find themselves buying more servers and storage.
This is especially painful when the static data is mixed in with active
data on the same high-performance storage tier -- and then protected
with frequent backups and remote replication.
By moving static data out of the active data sets, and placing it
on a lower-cost storage tier, enterprises can significantly improve
service levels and greatly reduce their storage costs.
Once the initial data classification is complete, and application
data groups are placed on appropriate storage tiers, the next logical
step is to look more closely at each major application.
Where are the opportunities to improve performance and lower costs?
And who has the skills, tools and time to target those opportunities,
define the technical requirements and drive an archiving project from
design to deployment?
The simplest archiving approaches use file-system metadata to select
and move complete files. However, these methods provide little value
for e-mail messaging and database applications, where old and new
records reside inside the same file.
Even for unstructured data, such as office documents in a file system,
some methods and technologies are more effective than others.
Contoural offers Data Archiving Design and Deployment services that
help companies improve application service levels and reduce costs,
by migrating static data out of active data sets and into lower-cost
archival storage.
These services are structured as discrete projects that offer immediate
value, such as helping clients understand the requirements and opportunities
for archiving specific applications and data types. Or facilitating
the architecture, design, vendor selection and deployment of an effective
archiving solution for an impacted application.
The Data Archiving Design and Deployment Services data
sheet provides a more detailed description of the typical project
phases and deliverables.

Contoural application archiving consultants are involved in a variety
of development and deployment activities, including software installation,
testing, customization, and performance tuning. They have advanced
functional knowledge of areas such as Oracle Application financials,
order management, manufacturing or HR/payroll, or Sybase-based enterprise
applications. Experience includes RDBMS application implementations,
upgrades, customizations, and 3rd party reporting (Noetix, Discoverer,
Business Objects etc.). Skills include performance tuning for existing
application modules, including table optimization, indexing, cost-based
optimizer, and workflow.
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