One of the most talked about capabilities since the launch of SharePoint 2010 is the Managed Metadata Service.  For those of you who aren’t already familiar with this service and the support it provides for modeling and deploying a rich corporate taxonomy, I’d recommend reading Pat’s post Introducing Enterprise Metadata Management.  For those of you who are familiar with the great taxonomy capabilities in SharePoint 2010, I’m sure many of you have spent time looking at an empty term store wondering where to start.  If you’re lucky, you already have a well defined corporate taxonomy and should by now have leveraged our import capabilities to pre load SharePoint with the vocabulary you want your users to leverage for tagging and finding content.  On the other hand, you could be like many customers I talk to who don’t even know where to start when it comes to developing a taxonomy, or have spent years in conference rooms debating what the right taxonomy should be.  You’ve probably even head someone say “I’m sure someone has already solved this problem”, and if that’s the case, that someone was the smartest person in the room for two key reasons.  The first is that there are professional taxonomists who have already modeled most business domains and the second is that the people responsible for creating content in your company have already developed a community vocabulary or folksonomy that they use extensively.

If you happen to be one of those customers who is stuck looking at an empty term store then I’ve got great news for you.  The SharePoint team have teamed up with WAND, a leading provider of Enterprise Taxonomies, to make their General Business Taxonomy available as a freely available download.  The General Business Taxonomy consists of around 500 terms describing common functional areas that exist in most businesses.  The General Business Taxonomy can be imported in to the SharePoint 2010 term store within minutes and provides a great starting point for customers looking to build a corporate vocabulary and take advantage of the Managed Metadata Service.  In addition to this freely available download, WAND provide a range of taxonomies covering a variety of domains including Products and Services, Local Search, Enterprise, Jobs, Travel, Medical, Lifecycle, Finance and Records Retention.

Download the General Business Taxonomy today and start to explore the benefits that taxonomy can bring to your business and your people. 

If you’re new to taxonomy and the benefits it can brings to your business, take a look at the following sites:

• TechNet – Managed Metadata and Taxonomy Resource Center
• Dan Kogan (Senior Lead Program Manager) – SharePoint 2010 Metadata Webinar
• WAND – Taxonomy 101
• WAND Blog

Ryan Duguid
Senior Product Manager
Microsoft Corporation

One of the most talked about capabilities since the launch of SharePoint 2010 is the Managed Metadata Service.  For those of you who aren’t already familiar with this service and the support it provides for modeling and deploying a rich corporate taxonomy, I’d recommend reading Pat’s post Introducing Enterprise Metadata Management.  For those of you who are familiar with the great taxonomy capabilities in SharePoint 2010, I’m sure many of you have spent time looking at an empty term store wondering where to start.  If you’re lucky, you already have a well defined corporate taxonomy and should by now have leveraged our import capabilities to pre load SharePoint with the vocabulary you want your users to leverage for tagging and finding content.  On the other hand, you could be like many customers I talk to who don’t even know where to start when it comes to developing a taxonomy, or have spent years in conference rooms debating what the right taxonomy should be.  You’ve probably even head someone say “I’m sure someone has already solved this problem”, and if that’s the case, that someone was the smartest person in the room for two key reasons.  The first is that there are professional taxonomists who have already modeled most business domains and the second is that the people responsible for creating content in your company have already developed a community vocabulary or folksonomy that they use extensively.

If you happen to be one of those customers who is stuck looking at an empty term store then I’ve got great news for you.  The SharePoint team have teamed up with WAND, a leading provider of Enterprise Taxonomies, to make their General Business Taxonomy available as a freely available download.  The General Business Taxonomy consists of around 500 terms describing common functional areas that exist in most businesses.  The General Business Taxonomy can be imported in to the SharePoint 2010 term store within minutes and provides a great starting point for customers looking to build a corporate vocabulary and take advantage of the Managed Metadata Service.  In addition to this freely available download, WAND provide a range of taxonomies covering a variety of domains including Products and Services, Local Search, Enterprise, Jobs, Travel, Medical, Lifecycle, Finance and Records Retention.

Download the General Business Taxonomy today and start to explore the benefits that taxonomy can bring to your business and your people. 

If you’re new to taxonomy and the benefits it can brings to your business, take a look at the following sites:

• TechNet – Managed Metadata and Taxonomy Resource Center
• Dan Kogan (Senior Lead Program Manager) – SharePoint 2010 Metadata Webinar
• WAND – Taxonomy 101
• WAND Blog

Ryan Duguid
Senior Product Manager
Microsoft Corporation

Hi there, my name is Pat Miller, and I am the development lead for the Enterprise Metadata / Taxonomy features in SharePoint 2010.  I’ve been working on the ECM team and its fore-bearers for the better part of 11 years now, first with NCompass Labs which was acquired by Microsoft in 2001, then on the Content Management Server team, then with the CMS team as part of MOSS 2007.  This is the first of many blog posts on the Enterprise Metadata Management (EMM) system in the 2010 release.  This will be the overview of the system, and future posts will drill into specific areas like event receivers, field editing and search refinements.

First, some background.  At one point during the development of Content Management Server 2002, we spent some time with the folks that run the Microsoft.com set of websites.  One of the things they were very keen on was this taxonomy system that they had built.  It seemed fairly useful, and we considered implementing something like it, but didn’t have the time, and there was a general concern that no one would actually do the work of tagging data.  During the development of MOSS 2007, we were spending most of our time rewriting our feature set to run on top of SharePoint, and once again, taxonomy fell off the list of things we were willing to tackle (and still, people would consistently say that people just don’t tag).

Around this time people started tagging things in their own world.  The rise of digital cameras and mp3 players brought a huge amount of data that for the most part, had to be marked up with metadata in order to be searchable.   Some metadata was added to the files automatically (things like date, size, camera model, etc.), but specific user information wasn’t there.  You quickly learned that if you categorized the images (either through folder location or tags) you could navigate your way through 10′s of thousands of files (images, music, etc.) the way that works for you personally, rather than relying on default information like date the picture was taken.  People became more familiar with the concept of navigating their content via metadata – "Let’s listen to all my Pearl Jam albums, I feel like listening to Electronica, find me photos of Dad".  It’s only a small step from that to wanting to impose some sort of hierarchy – find me photos of my whole family, my extended family, I want to listen to all classical music, or perhaps just from the Baroque period.  Tagging all that data really unlocked a lot of potential.

Perhaps the landscape had changed…

We decided to run with it in the 2010 release.  There were a few main tenets that we tried to let guide us:

1. No one (well, almost no one) apply metadata for the shear joy.  It’s always for a purpose.
2. #1 means that the reason for the system has to be for the end user benefit.  What can you do if you have this rich metadata applied?
3. In order for #2 to come to realization, the metadata has to be present, which means that applying consistent metadata needs to be as easy and ubiquitous as possible.

To that end, we set out to enable a bunch of new user scenarios for SharePoint 2010.

We started out the release with a blank sheet of paper and some very knowledgeable people in the information management space.  We also found that most people started twitching uncontrollably when the word "ontology" was mentioned.  ‘Tagging’ was fine, ‘metadata’ was OK, at ‘taxonomy’ they started looking for an exit.  Telling people that a taxonomy was just a hierarchy calmed them down, but the whole ontology thing was too much of a stretch.  It also complicated things considerably, and we could still get a huge amount of value out of a taxonomy, so this was our starting point.

Some features were very obvious – filtering list views based on hierarchy inclusion, search refinement, etc.  Some were a small step from this – if you have a consistent vocabulary across an enterprise, you can start to do some interesting things.  You can match areas of expertise to specific content or workflows.  You can start to relate content in totally different systems based on something with more context than a simple string.  What if you could relate your analytics content to your taxonomy system and get a real-time view of what topics people are viewing instead of simply guessing based on their position in a URL namespace?  How about overlaying your security model with your metadata so that certain people had rights to view content based on the metadata applied to it?  How about we get down to business and focus our resources and ship a compelling collection of features.

To that end, we came up with the following components in the system:

The taxonomy repository itself, we call it the Term Store.  Some companies have very top down strict taxonomies, so some term stores might have a very few people allowed to edit them.  We’ll have to support having multiple term stores.

The taxonomy system needs to be able to support a complex enterprise.  A simple flat list of strings isn’t going to be sufficient.  To that end, we support the following concepts and behaviors:

• Terms - A term is the central object in the taxonomy system.  It’s the concept itself.  It’s very hard to come up with a name for a concept and have it be sufficiently descriptive and not too vague.  Term is what we came up with.
• Labels - Terms have to be known by a bunch of different names.  When someone types "check" it should be the same thing as someone that types "cheque".  "USA" and "United States" and "United States of America" are all referring to the same term.  We call these names labels.
• Default Label - It’s a whole lot easier if one label is the default.  You can find it through any of its synonyms, but we’ll display the default label in most circumstances.
• Termset - A collection of related terms in a hierarchy is a termset.  Things like "locations" and "products".
• Term Reuse - This is a key point to the system.  If you have two termsets "Capitol Cities" and "Locations", the term "London" and all of it’s synonyms, etc. should be the same in both.  We don’t allow a term to have two parents in the same termset, but it can have two parents in different termsets.
• Homographs – A homograph is a word that is spelt the same, but has a different meaning.  You should be able to have a hierarchy that has "Paris" existing in both France and Texas.  To keep things a bit more sane for the user, we don’t allow homographs to have the same parent.
• Multiple language support - A given term has a bunch of meaning associated with it.  The translations belong to the term in the same way that synonyms do.  If a term doesn’t have a translation, we use the default language.
• Groups - Groups in the taxonomy system are simply collections of termsets that share a common security assignment.  Termsets and terms aren’t ACL’d, groups are.
• Deprecated terms - if a term shouldn’t be used any more, it can be deprecated.  This doesn’t remove it from the system, you just can’t apply it to new content moving forward.
• Terms that are unavailable for tagging - this is slightly different from deprecated terms.  A deprecated term is deprecated in all occurrences in the taxonomy and isn’t shown to the user when tagging.  Unavailable terms are only unavailable in a specific termset, and are still displayed when browsing the hierarchy at tagging time.  The purpose of this is to allow things to be hierarchical without allowing people to tag with the wrong term.  For example, in the Capitol Cities termset, you might have continents in it so that people can find a particular city, but they would be marked as unavailable for tagging (with respect to Capitol Cities) because they should not be selectable at tagging time.
• Merging terms - at times, you might get multiple terms in the system that really are the same thing.  They might be in the same termset, or they might be in different termsets.  When you merge them, you get a single term with all of the properties, and this new term will be reused in all termsets that the original terms existed.
• Open Termsets - There are times when a highly managed taxonomy makes sense.  You shouldn’t be able to add random countries to the list of known countries.  However, you probably don’t want to give taxonomy editing permissions to everyone that is creating a new codeword.  Open termsets allow content editors to add new terms to a hierarchy at content authoring time.  It’s a bit of a meeting point between bottom up folksonomies and top down taxonomies.
• Keywords - The degenerate case of a folksonomy is a simply flat list of strings.  They have no extra semantic meaning.  This is the enterprise keywords termset. Terms here don’t have a hierarchy, definitions, synonyms or translations.  However it is possible to move a keyword into a managed termset and add this additional data.
• Local termsets - The taxonomy field type gives you all sorts of useful features, but you probably don’t want "places to order food from" to wind up in your enterprise taxonomy.  Local termsets are only visible within a single site collection.

OK, that’s a nice set of features in the taxonomy system.  What do we want to do with all those terms and termsets?

The next set of features involve integrating the taxonomy system with SharePoint.  The primary place this happens is in the new managed metadata field type.  Think of it as a choice field that went to the gym.  It’s much more powerful.  The metadata field type is a normal field that can be applied to any content type (list or document library).  However it has a few nice things associated with it:

• Termset binding - You can specify what termset a field should be bound to.  You can have lots of fields bound to the same termset.  When you update the termset, all of the bound fields use the changes immediately.
• Path or node display - You can choose to display the default label of the term by itself "Paris" or its path "Europe > France > Paris".
• Multi-lingual rendering -   If a given term has been translated to a given language, when your UI is set to that language, the term translations are displayed.
• Content type syndication – This isn’t a taxonomy feature per se, but it’s part of the enterprise metadata feature set.  We allow a term store to have a site collection defined as it’s "hub".  On that hub you can publish content types, and these content types will be pushed out to all consuming site collections.  This means that in addition to having a consistent vocabulary across your enterprise, you can have a consistent set of content types using all that goodness.
• Rich editing - when you are applying a term to an item, you can search across the entire termset (including synonyms) or view the tree itself.  It makes it possible to choose from thousands of choices, which would normally break lookup and choice fields.
• Editing support in the rich client applications - the document information panel in the Office client applications allows for applying terms.
• Offline editing in the rich client applications - when you edit in the rich client applications, a copy of the bound termsets is cached locally.  You can tag on the plane.

Once data is in SharePoint, other SharePoint features can deliver additional goodness:

• Better listview filtering - not only can you filter in the normal "everything with value X" but you can also do inclusive filtering, displaying everything tagged with X or a child of X.
• Better metadata navigation behavior - The metadata navigation feature allows you to navigate through libraries using hierarchies other than the folder hierarchy.  The termset is one of the allowed hierarchy types, meaning that you can browse your libraries along multiple axes.  You can now free your data from the tyranny of the URL or folder namespace.
• Routing and policy - The document routing feature can direct your content based on the metadata applied to it.  Taxonomy fields can even be used to create folder hierarchies at the routing destination.  Retention policies can be driven off of taxonomy fields as well.
• File open / save - Can’t remember exactly where your document is stored in a large library?  You can use the taxonomy field to filter the open dialog display.

Now that we have all that nice consistent metadata on our content, we can do a few more things:

• Content by query Web Part enhancements - You can configure the CBQ to filter based on taxonomy fields, including descendent inclusion.
• Automatic search refinement - The search system is aware of all taxonomy fields, and if a result set has a sufficient amount of data with the same taxonomy fields, a search refinement will appear, allowing users to filter their data.
• Power user profile and social tagging - it doesn’t make much sense to have a corporate taxonomy and then do your social tagging using just string matching.  All of the social properties are actually sourced from the taxonomy system, meaning that you won’t get people asking you where a good place to stay in Paris, France when you are an expert on Paris, Texas.

And since we know that we can’t possibly implement every feature that everyone would want, everything is accessible through our API.  In future blog posts, we’ll go over how to use this API to deliver some compelling features.

Hopefully this is a nice introduction to the work we did around taxonomies and enterprise metadata.  We had a lot of fun coming up with the design and implementation, and hope that it resonates with you.

Thanks for reading.

Pat.Miller at Microsoft.com

SharePoint 2010 is more than just SharePoint 2007 plus a bunch of new bullet points on the box. We didn’t just haphazardly build a bunch of new features, look back at the fertile seeds we planted, and muse about how “everything should work pretty well as libraries get large.” We built, and more importantly, tested all the features you’re reading about with scale in mind. We are setting new scale targets for 2010 that go above and beyond what we set in 2007. These numbers are not final yet, but we’re shooting for tens of millions of documents in a single library, depending on some specific parameters of your scenario.

When I throw out numbers like that, I’m not talking about just big, static libraries with content that just sits there. We want you to do crazy things with SharePoint 2010 like stuff a million document sets in a single document library with workflows running every which way, a hundred different retention policies firing off actions when you least expect them, and users uploading, tagging, and searching day in and day out. All the goodness of the SharePoint platform will be available to you whether you’re building a team site, a collaborative repository, a knowledge base, or a super large archive.

Like a plump, juicy sausage, much of the good stuff in SharePoint 2010 to give it delicious scalability are things that most people don’t need (or want) to know about. For the most part, scale just works. However, the chef (or information architect) is still a super important player. A well-planned repository is one that will have your users coming back for seconds and writing rave reviews; a poorly-planned one is one that will have them chugging Pepto-Bismol the next morning. Just because you can stuff a bunch of documents in a SharePoint 2010 library without your server igniting in flames the next day at doesn’t mean that you should without first thinking through how to best use the tools available to deliver an excellent experience to your end users.

So, even though scale in SharePoint 2010 just works, you’re not going to install the bits on day 1 and have a massive, searchable, beautiful content storefront on day 2. Guidance still matters, and believe me, we know it; this blog entry is just the beginning of the content we’re planning on delivering to help you on this front. I wouldn’t even call this blog entry guidance; it’s just a primer on the features and capabilities of SharePoint 2010 that you will grow to love if you’re passionate about scale at the library level – if you want to shove a whole bunch of documents in one place and have it be a great experience for both IT and your end users.

So what are these features and capabilities? Here are a few of the most important ones that I’m going to blog about now and in the near future:

1. We protect your database backend from dangerous queries. If you run a query against any database that requires it to scan through millions of items to find the ones you’re asking for, you’re going to balk at how long it ties up the server’s CPU. Quite frankly, SharePoint is not an exception. Even in SharePoint 2010, there is a class of user operations in certain scenarios that make unreasonable demands on the backend. For these operations, our strategy is to nip them in the bud before they’re executed, which keeps your high-demand servers healthy and responsive. Knowing when this throttling will kick in and planning for it is an important part of large list planning.
2. We give end-users tools to find content. When you have a sea of documents, the specific one you’re looking for can seem like a needle in a haystack. Structured metadata, easy tagging, metadata navigation, and built-in search refinement make this a less daunting task in SharePoint 2010 out of the box. This is an area we are particularly passionate about; after all, what good is a hugely scalable library if your end users hate it and can’t find what they’re looking for?
3. We help developers write excellent code. In SharePoint 2007, we didn’t give developers the right tools to write code that scaled well as the amount of content in your site grew. Even worse, it was pretty hard to tell why and when code was bad, and if your site was running slowly, which one out of your ten custom web parts was bringing things down. You had to “build around” SharePoint and do things “just so” to avoid this from happening. In SharePoint 2010, we give you a bunch of tools to make this story better.

Dangerous Queries

One challenge we’ve consistently seen customers run into when building large repositories on SharePoint 2007 is trouble with large containers. As the number of documents in any single container grows – either at the root of a library, or in a folder – bad things start to happen. For one, as your document to container ratio increases, it becomes harder and harder to find exactly what you’re looking for. More serious are the performance implications of large containers. Any of the out of the box ways of retrieving content from containers in SharePoint 2007 – like the All Documents view, the Explorer view, or a Content Query web part – would work, but they don’t scale very well. Loading All Documents in a library with a million items at the root would take a long time to finish. The big problem here is that you wouldn’t be the only one affected; all your friends running SharePoint sites on that same database server would experience things slowing to a crawl as well, as the database server dutifully iterated over those million documents to find the right ones.

Why does this happen? Any time you ask for content from SharePoint, you have to specify how it’s sorted – for example, the All Documents view in SharePoint 2007 asks for the top 100 results, sorted by filename. But items aren’t sorted by filename in the SharePoint content database – so, to bring you this view, SharePoint has to gather up all these million items, sort them, and finally display the 100 ones at the top of the sorted list. Imagine this as being like flipping through the residential section of a phonebook to find the first 100 addresses, sorted in alphabetical order. This would be a miserable task, because the telephone book isn’t sorted in this way – so in order to ensure your sorted list was accurate in the end, you’d have to look through the entire residential section, from start to finish, because after all, the last person listed in the phone book might live at 1000 Aardvark Lane.

Large Lists and Fallback Queries

The laws of physics are the same in SharePoint 2010 as they were in SharePoint 2007; if you run a query that needs to touch a very large number of items, you’re going to have to wait a long time, and so will everybody else. One prominent thing we did in SharePoint 2010 is to nip these queries in the bud before they get executed. To make a long story short (you can read the long story here), a farm administrator can set a threshold which defines the maximum number of items a single SharePoint query can touch. By default this threshold is 5,000. Any library with more items than this threshold is a large list.

Let’s go back to our example of the library with one million items at the root. Say you had that library in SharePoint 2007, and you upgraded to SharePoint Server 2010. First thing you’ll see upon navigating to this library will look something like this:

See the yellow bar above the list view? That’s a sign you have the Metadata Navigation and Filtering site feature turned on and it’s causing something magical to happen! When you load this view, SharePoint 2010 knows that you’re being greedy and asking it to scan through those million items. Since this query exceeds the maximum number of items a single query is allowed to scan (5,000) it doesn’t run the query. But who wants to stare at an empty list view? Instead of running this query as-is, SharePoint finagles it a bit and transforms it into a query that’s almost as good as the one you were asking for, but won’t make the database buckle under the pressure. In this case, we assume that it’s fairly likely that the document you’re looking for is one of the most recently created items in the library – so instead of scanning all one million items, we only scan the top 1,000 or so recently created documents, sort those by filename, and show them to you in the list view. This is what we call a simple fallback query: a query that doesn’t specify an index and asks for too many items in return, so instead of considering the entire list as being eligible for the query, SharePoint considers only the thousand or so most recently added items.

“Wait a second. You’re telling me that SharePoint throttles queries without asking me first? How on earth am I supposed to find anything in this crazy world of fallback queries and partial results?”

Let me assure you; this throttling business is a good thing. It’s a core ingredient in what makes SharePoint 2010 a resource for addressing your scale challenges. Gone are the sleepless nights where you toss and turn and worry about page faults on your database cluster resulting from Mack in Accounting stuffing 6,000 beer pong tournament photos in the root of a library in a forgotten team site in the dusty corners of your SharePoint deployment. The SharePoint 2010 feature set replaces this overarching concern with a set of well-scoped challenges; instead of worrying about every library that might get big, you get to plan for and craft experiences for the set of libraries that need to get big for business reasons.

I should mention really quickly that throttling is about more than just list views. There is a whole class of operations that involve iterating through all the documents in a list, or all the documents in a folder, that will get throttled (in other words, they will not execute) when the list or container is large. These operations include things like:

• Adding a column to a library
• Creating an index on a library
• Deleting a large folder in a library

Metadata Navigation – finding and working on content in large lists

Above is another screenshot from my million item library. This time, we’ve put a couple of SharePoint 2010 features to work. See that I have “demonstration scripts” selected in the left hand side in the tree view, and my list view is rendering without the yellow bar that’s telling me I’m only seeing newest results. That hierarchy of tags you see there represents a taxonomy, Item Type. I am browsing the documents in this library according to their Item Type; in the screenshot, I am filtering to show all documents with the value “demonstration scripts”. Here are the steps that I took to make this happen:

1. I created a taxonomy that describes my content. You can look forward to some posts from our very own Dan Kogan on this very topic in this very blog in the near future. There’s a lot to learn here. Not just any taxonomy will do here; it needs to be one that broadly divides my content up into evenly-sized buckets. For example, if I had 990,000 demonstration scripts, the query you see above would not get me anywhere. In that case, it wouldn’t make much sense to use Item Type as a piece of metadata and a navigation hierarchy for this library; I would need to find another, more divisive way to pivot the data.
2. I bound that taxonomy to a field in my library called Item Type. Think of a taxonomy field as a choice field on steroids. Instead of picking values out of a flat list, you pick them out of a tree.
3. I configured that field as a navigation hierarchy. Every library now has a Metadata Navigation and Filtering settings page where you can configure navigation hierarchies (the filters you see arranged in the tree view) and key filters (the additional filters that show up beneath the tree view)

In these three easy steps, I made “Item Type” a first class navigational pivot over the data. Instead of just staring at a partial list of content at the root, I can now browse with impunity by this virtual folder structure.

Here’s a couple of cool aspects of this feature that aren’t apparent from a single nifty screenshot:

1. Metadata navigation lets you slice and dice multiple ways. I might have a bunch of taxonomies on my library that classify content in different ways; for example, I might have a Products field, a Region field and a Competitors field, all bound to domain-specific taxonomies that classify the content along those dimensions. Depending on my current task, it might make more sense to filter by the Region field (for example, if I’m looking for the latest sales figures for the North America region). I get more filters than just my virtual folder; I can combine this filter with any number of key filters or list view column filters to drill down to just the content I want (for example, I want to see all demonstration scripts by the ECM team created after 2007).
2. Metadata navigation thinks about indices and large lists so you don’t have to. Hey, remember just a few minutes ago when we were talking about large lists, indices, and being throttled? Well, metadata navigation thinks a lot about indices and how to run queries the “right way” to make them perform well and prevent throttling from happening. For starters, all the fields you configure as navigation hierarchies and key filters get indexed, and the resulting queries are written in a way that ensures the best index is used to make the query succeed.

You aren’t immune from the laws of physics; if you ask for documents tagged with demonstration scripts and there are 10,000 demonstration scripts, we’re not going to be able to show you all of them. In this case, though, you get something better than a simple fallback; you get an indexed fallback, which means that instead of considering the entire list, the query considers only the items that match the indexed portion of your query.

Wrap-up

This article was just the first in my series of posts about architecting and building large lists filled with discoverable content. Here’s what you can expect over the next few weeks:

• A deep dive on metadata navigation, how it works, and some tips to getting the most out of it
• A discussion on how other features, like Search and the Content Query Web Part, fit into the equation, and how to configure their metadata filtering capabilities
• Some geeky developer tips on writing code that plays nicely with large lists

After that, I’ll be widening my scope a bit to talk about the overall knowledge management story in SharePoint 2010 – which is about more than just browsing for content in a library!

Lincoln DeMaris, Program Manager, ECM