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FileNet Content Manager 5.2.1: search performance (F284G)

1.225,00€

Why searches are slow and what to do about it: how content-based retrieval works, how full-text indexes are built, how they are partitioned so each search only walks the stretch that concerns it, and how to optimize a query that mixes database search with content search.

SKU: 268. Category: FileNet
  • Description

Description

IBM course code:F284G
Delivery:Online, classroom or onsite
Duration:4 hours
Who it is for:Administrators responsible for maintaining FileNet Content Manager domains and their environments.
Recommended background:Content Manager concepts and terminology — object stores, objects, properties, content — and being able to navigate the Administration Console. Having taken object metadata (F282G) helps.

Who this course fits

  • Users complain that searching takes too long.
  • The content index has grown unmanageable.
  • An action has to be applied across thousands of documents and nobody wants to do it by hand.

Course content

  • Configure Content Search Services: what content-based retrieval (CBR) is, what a content index is, starting and stopping the service, what an index area is, using affinity groups to control server assignment, enabling CBR, domain level tasks and console commands
  • Configure index partitions: what they are, how they are configured, settability values, selecting a string property and using a date property for a partition
  • Create content based indexes: index areas and full-text indexes, states and automatic activation, enabling CBR at object store level, creating the index area object, index jobs, how a CBR search runs, the CBR SQL query format and CBR-enabled properties
  • Optimize CBR queries: combined CBR and database searches, how the mixed query works, query optimization and its configuration, and handling requests for ranked results
  • Use searches with bulk actions: performing searches and bulk actions, actions on multiple objects, types of multiple-object action and operations
  • Appendix: starting and stopping system components

Training with SIXE, IBM Business Partner

  • Labs on search: enabling content-based retrieval, creating the index area, running index jobs and executing CBR queries against the resulting index.
  • Taught directly by IBM Champion instructors from the SIXE team.
  • Credly badges on completion: credly.com/organizations/sixe/badges
  • Flexible format — online, classroom or onsite — in closed groups, priced per attendee, in the language of your choice (ES / EN / FR).

Instructors specialised in IBM FileNet

Taught by engineers from the SIXE team who have sized content indexes and wrestled with queries that took minutes to come back.

Frequently asked questions

What exactly is CBR?
Searching by the content of the document rather than its properties: finding the word that sits inside the PDF. It needs a separate full-text index, and that index is what you have to size and partition.

Why partition the index?
Because a single index over millions of documents ends up being the bottleneck. You partition it by a property — a date is usually the natural one — so each search only touches the relevant part.

Are mixed queries covered?
Yes: when a query combines conditions on properties and on content, the order they are resolved in changes the time completely.

Do we measure before and after?
Yes: you run a query against the unconfigured index, then set up Content Search Services with its partition and run it again. The difference shows on the clock, which is the only way to convince whoever pays for the hardware.

Group size and language?
Closed groups of four to ten people, in Spanish, English or French. We run it with fewer than four as well, though it usually pays to wait and fill the group.

Related courses

  • F282G — object metadata
  • F288G — full administration
  • F286G — sweep jobs

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    1.225,00€
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  • FileNet Content Manager 5.2.1: build the repository (F281G)

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  • FileNet Content Manager 5.2.1: object metadata (F282G)

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