0:00Hey it's Tim here, 23.3 is nearly out let's
0:02go through the coming soon page and find
0:04out
0:04what's coming in this release. Let's get
0:06stuck in. Okay so 23.3 is coming soon as
0:09Tableau liked to
0:10say on this page. This page came out a
0:12couple of weeks ago, I'm a little late to
0:14the game but
0:15I'm really keen to go through it. This is
0:18the second release since we had conference
0:21and the
0:21interesting thing about this is that at
0:24conference there was a whole pitch around
0:26new capabilities,
0:27Tableau GPT, Tableau Pulse and this concept
0:30of decoupling. I went through all of this
0:32in my
0:33keynote roundup, check that out if you
0:34haven't seen that. And some of the things
0:38we saw at the
0:39conference are yet to be released and so
0:41what's always interesting a couple of
0:43releases after
0:44conferences to see what's actually shipping
0:47because of course we've only got really one
0:50more release before I think they start
0:52saving features for the next conference. So
0:54this release
0:55and the next release will pretty much have
0:56everything we're going to get this year and
0:59then everything after that will probably be
1:01saved for availability at some point next
1:03year just to
1:04give conference a bit of content that
1:06people can actually talk about and
1:08something that sells
1:09people can actually sell. So a little bit
1:11behind the scenes there. So yeah here we
1:13are with 23.3
1:15let's start going through this. I'd like to
1:16do this before every release is out before
1:18I even
1:18do the videos where I cover them. If you're
1:21new here don't forget that I make videos
1:23covering
1:24all of the features of Tableau as they're
1:26released the most prominent ones not every
1:28single one.
1:29We're trying to address that problem very
1:31very soon but yes I make videos covering
1:32most of the
1:33features that are released and I have been
1:35for three years so go ahead and check those
1:37out I
1:38have playlists for each of them. Let's
1:41start today with Dynamic Axis Ranges. So
1:44this is actually
1:46quite nice because it comes off the back of
1:48Dynamic Axis titles which was released a
1:51couple
1:51of releases ago. This essentially allows
1:54you to map the axis to a specific parameter
1:56so as you
1:57select the data set you can actually get
1:59the axis to change. Now you could kind of
2:02simulate this
2:03with some capabilities around min and max
2:06values and parameters but this is nice
2:08because this feels
2:09more native and so it's really a follow-on
2:12to the previous feature. Now one question I
2:15have for you
2:16is this I've been talking to a few people
2:18and I can't come to an opinion about
2:20whether it's better
2:22that Tableau releases all the features
2:24behind the capability in one go or if they
2:27drip feed these
2:28capabilities. A good example is ask data
2:31another example is the data model when
2:33these were new
2:33features they gave us features over maybe
2:36five or six releases would you prefer that
2:38at the end of
2:39that six release you just got everything in
2:41one go then so you could plan and organize
2:43how you deploy
2:44your features across your organization or
2:47do you prefer this sort of drip feeding.
2:49The interesting
2:50thing is that with this drip feed approach
2:52my opinion is that most people don't get
2:54the features
2:55until two years down the line because in
2:57essence every organization's sort of
2:59upgrade cycle means
3:00that they get the feature kind of when it's
3:02half baked and when it's half baked you can
3:04't really
3:05do anything with it so you actually get
3:06this lag effect unless you're on Tableau
3:08cloud where
3:09everything comes sort of in real time and
3:12so in real terms I just wonder if people
3:14hold off
3:15developing ways and best practice of using
3:17things until they feel a feature is sort of
3:20fully
3:21realized and as a result Tableau think
3:22people aren't interested in the feature and
3:25they sort
3:25of start barking down the wrong tree. It's
3:27an interesting question I don't have the
3:28data of
3:29course if you're at Tableau and you have
3:30the data in the telemetry let me know we
3:32can chat
3:33but nonetheless let me know what you think
3:35in the comments. Okay let's go to the next
3:37feature custom
3:38data labels now I actually saw this in
3:40Tableau online the other day when I was rum
3:42maging around
3:43I realized that I was in a beta instance
3:44and this was already enabled so I'll do a
3:46video on this
3:47very very soon. It's a really nice
3:48capability essentially it's building off
3:51the previous data
3:52sensitivity feature that was available in
3:54the previous release this now gives you a
3:55place to
3:56manage these so this will be great for
3:58admins who want to start to use this
3:59labeling across the
4:00platform. I think this is going to need the
4:03data management add-on because the data
4:05sensitivity is
4:06part of the data catalog and so this feels
4:08like it's going to be part of that as well
4:10if you have that add-on. Always important
4:13to note that add-ons do affect the
4:15availability of certain
4:16features so whenever you see anything to do
4:18with data lineage or data catalog unless it
4:20's the
4:20metadata API you need an add-on in order to
4:23access those features. Okay let's go to the
4:25native
4:26lightning web component for Tableau. So
4:28lightning web components are from the Sales
4:30force world they're
4:31sort of a bespoke HTML web component that
4:34works really really well with Salesforce.
4:37It makes it
4:38easy for developers to work with the Sales
4:41force platform and so what we have here is a
4:43native web
4:44component for Tableau so you can go ahead
4:46and embed Tableau visualizations inside of
4:49Salesforce using
4:50this lightning web component and the
4:52benefit here is that you can actually start
4:54to integrate
4:55Salesforce and Tableau more closely. It's
4:57kind of felt like all of the embedding API
4:59capabilities
5:00that we've been getting from the last
5:01couple of months has actually been leading
5:03up to this sort
5:04of capability they needed to sort of
5:06implement all the little bits personal
5:08access tokens all of that
5:09stuff needed to come together to enable
5:11this and so you can actually see that they
5:13do call out
5:14connected apps trusted tokens all inside of
5:16this particular announcement so this is
5:18really nice to
5:19see I'm really excited to see what comes of
5:22this. On demand access this is part of the
5:25embedding
5:25story now embedding is just on a march I'm
5:28making a video series about this so be sure
5:31to check that
5:31out very soon over the next few weeks and
5:34in that sort of topic and domain on demand
5:37access has been
5:38a hugely requested feature the context here
5:40is let's say you're building an application
5:42let's say
5:42you're a bank Tableau likes to use a bank
5:45as an example and you want to build a
5:47platform where
5:48people can come in and check their balances
5:50and you want to use Tableau as the
5:51visualization
5:53tool to visualize that data well what you
5:56don't want to do is to go and buy licenses
5:59for all your
5:59customers because what if they never log in
6:02what if they don't actually use the service
6:05the other
6:05thing is and you might actually be on
6:07something called a usage-based licensing
6:10system so there is
6:11an ability to buy tokens and embedding has
6:13a capability to basically pay as you use so
6:16you can
6:16buy a certain number of tokens up front and
6:18then it doesn't matter sort of how many
6:20people log on
6:21you can essentially use up these tokens
6:23over a period of time and so what you need
6:24to be able
6:25to do is say hey I'm going to give all 12
6:27000 people access to this system but I don
6:29't know
6:30when they're going to turn up and I don't
6:31know when they're going to sign in but when
6:33they sign
6:33in I want you to go ahead and create a
6:35username some credentials for them and then
6:37let them log
6:38in and see what they're supposed to see all
6:40in that one step and so what that this is
6:43actually
6:43doing is enabling that when a user then
6:45goes to log in it automatically licenses
6:47them and make
6:48sure they're allowed to see what they're
6:50allowed to see it passes through any sort
6:51of permissions
6:52and general things that your application
6:54needs to control and then you have the
6:56availability to just
6:58go ahead and let them into your platform so
7:00really really a useful feature and the
7:03embedding API NPM
7:04library this is one of these web
7:06development terms but I'll try and simplify
7:09it for you
7:09NPM stands for node package manager I think
7:12I think it's node package manager and what
7:16essentially you can think of it as is a way
7:18of bundling the necessary code you need to
7:20run a
7:21certain set of capabilities in your
7:23application let's say I want to build a
7:25clock I don't want
7:26to have to you know go and do the maths to
7:28figure out the time right maybe I want to
7:30connect to a
7:31computer or a satellite that has the time
7:34what I can do is I can go get a package
7:36that knows how
7:37to call the API for this particular
7:39satellite or clock and I can include that
7:41in my application so
7:42that my application always knows the time
7:44that's a very simple example what they're
7:46doing here is
7:47taking the embedding API and creating a
7:50library of tools and what you can do is
7:52actually use this
7:53library you can call up these libraries
7:55like components and these components allow
7:57you to
7:58quickly and more easily build capabilities
8:01on the embedding platform now the nice
8:04thing about this
8:04is that the package management is all done
8:07for you you don't have to sort of go and
8:09find out I'm
8:10on the right version of this which version
8:12of the API am I using am I using embedding
8:14API version
8:153.5 3.6 the package manager should really
8:18sort of tie all these in and then also
8:20allow you to lock
8:22into specific versions so you really
8:23tightly control the experience and so that
8:26's that's sort
8:26of a really really good capability and the
8:29additional benefit here is that the API can
8:32be
8:32pulled from a CDN so you can go ahead and
8:34call it as you would do with any other
8:36package and it'll
8:37be pulled down and available in your
8:39application so a much easier way to deploy
8:42the embedding API
8:43and the nice thing is I think they do
8:45mention about applications applications on
8:48premise
8:49without the option to connect to CDN so you
8:51can essentially take this package and
8:54include it in
8:54your application without needing access to
8:56the internet which a lot of things kind of
8:58come with
8:59the basic assumption that you do need
9:01especially if you're a Tableau cloud
9:02customer so yeah
9:04really good set of capabilities if you know
9:06more about this and I'm
9:07sort of murdering this description let me
9:09know in the comments below
9:10okay the next feature is stratified
9:13sampling in prep now stratified sampling is
9:16one of these
9:17things where I'm always like I bet you
9:19people don't even know this is a problem
9:21and this is
9:22going to fix it for them so when you open
9:24up Tableau prep by default it samples over
9:27a certain
9:28number of records it basically doesn't load
9:30all the data in and when you're working on
9:32certain
9:32data sets this can actually affect the
9:34spread of data that you get inside of the
9:37way you build your
9:38flight and so you get the scenario where
9:39you build a flow you think you've solved
9:41all the problems
9:42you hit run the full data set comes through
9:44and actually you discover more problems
9:46because
9:46something you designed isn't quite working
9:48for the specific subset that you were using
9:50when you
9:51built the flow because of sampling what
9:53stratified sampling allows you to do is it
9:55essentially allows
9:56you to pick a field and it will use that
9:59field to I guess better proportion the way
10:01it samples
10:02so it kind of uses that field to say hey I
10:04'm designing my workflow around this column
10:07this
10:07is really the absolute sort of you know
10:10most important level of grouping in my data
10:13set
10:13I want you to pick a representative sample
10:16of data using this grouping and that's
10:18essentially
10:18what this is doing so it's a really nice
10:21feature I'm glad this is coming in most
10:23people probably
10:23won't know this is going to help them but
10:25it's a great option to have in there
10:26especially if
10:27you're working on data sets I kind of wish
10:29it was default I kind of wish Tableau just
10:32figured out
10:32the best field to use and just went for it
10:35you know figure out the level of detail and
10:37just use
10:38this as a way of sorting things out I'm
10:39sure something like that already happens
10:41but nonetheless
10:43really really nice okay fill down and
10:45running calculations so multi-row
10:48calculations were added
10:49in the previous release of Tableau in this
10:52release they're adding a few more options
10:54to fill down and
10:55essentially do running calculations what I
10:57loved about this feature when it was
10:59launched is that
10:59it's got this nice beautiful interface and
11:01I like that they're adding more
11:03capabilities to it
11:04another example of something that I think
11:06this should have all come in one go in this
11:08release
11:09rather than being the last release because
11:11in real terms when you want this feature
11:14you kind of want
11:14the full gamut of what it can do but hey in
11:16this particular instance I think this is an
11:19exception
11:19because even the previous set of features
11:22delivers value out to the gate next up set
11:24a header and
11:26data start row for CSV and text files again
11:28another enhancement for prep it feels like
11:31prep is
11:31starting to sort of edge a little bit
11:33closer to altrix I don't think it's
11:35anywhere near a sort of
11:36taking altrix market share or anything like
11:39that I just do think it's going to make
11:42those altrix
11:42use cases a little bit more difficult to
11:45justify because all the sort of ground
11:47level capabilities
11:48can just be done in prep anyway set header
11:51and data start row for CSV slash text files
11:54and this
11:55is a nice feature it's kind of an
11:56expectation really for CSV and text files
11:58just being able
11:59to choose the row you start from but it's
12:01finally here and so we're going to be able
12:03to use this
12:04okay the next feature is write data sets to
12:07data cloud from tableau prep now this is an
12:11interesting
12:11one because of course salesforce are
12:14pushing salesforce data cloud tableau genie
12:17cdp all these
12:18things I never understand what they mean
12:20but at least for now you can use tableau
12:22prep to push
12:23data to the data cloud in real times I don
12:25't know what that means it does suggest here
12:28there's an
12:29ingestion api connector I think this
12:32specifically allows you to pull to certain
12:34objects inside of
12:36salesforce but honestly I don't know enough
12:38about salesforce yet to be able to talk
12:40about this but
12:41that's definitely something we're going to
12:43try and address long term still working my
12:45way through all
12:45those knowledge bits and bobs that I need
12:48to kind of get through but salesforce is
12:50dense and salesforce
12:51is a very complicated platform especially
12:54if you approach it as like an analytics
12:56person coming
12:57from the world of tableau and you're trying
12:58to understand salesforce there's just a ton
13:00of things
13:01where you're basically sifting through
13:03marketing terminology rather than actual
13:05sort of core
13:06features so and yeah that's that's just
13:08something to be aware of okay virtual
13:10connections support
13:11for all connectors in tableau this is nice
13:14so they've been slowly adding capabilities
13:16to
13:16virtual connections what this means is that
13:19they are pretty much done adding all of the
13:21capabilities that I think you can access
13:23through the web edit features so the
13:25connectors for
13:26one drive apache spark cloud adara cloud
13:29era hadoop hive the data rama dreamy all of
13:33these
13:33have been added along with a list of other
13:35ones I'll do a separate video on this
13:36because there's
13:37been a few virtual connections additions in
13:39the last release and in this release so I
13:41'll kind of
13:41round up everything that we've got so far
13:44maybe do a 2023 update for virtual
13:46connections containerize
13:48bridge for linux so what does this mean um
13:49you can basically make your tableau
13:51architecture more
13:52streamlined with support for linux and
13:55deploy tableau bridge within a container in
13:57linux now
13:58containers are an interesting concept in
14:00computing if you take your computer as an
14:02example and it's
14:04basically right in front of you you can
14:06always access it let's call that a bare
14:07metal it's
14:08physically in front of you the next concept
14:10is you take your computer and then you chop
14:12it up into bit
14:13but then you say each of those bits are a
14:15small bit of your computer in that case you
14:17could take
14:18your laptop and say it's in six bits you
14:20could say you have six virtual machines
14:23they all run on
14:24one machine one physical machine so bare
14:27metal one machine virtual machine six
14:31computers okay
14:33a container is when you take an application
14:36and you put it inside of a box typically
14:39inside of
14:39a virtual machine and it has no awareness
14:42of anything else okay so it knows that it's
14:45running
14:46on windows or it knows that it's running on
14:47linux but it doesn't have any concept of
14:49any other
14:50application that could be running on what's
14:52the value of this well when it breaks you
14:55can just
14:55replace it you can just set up more and you
14:57can in fact take the exact same settings
15:00and put it
15:00in another virtual machine or do do
15:03something else with them the nice thing as
15:05well though is because
15:06it's not aware of anything else you can
15:08actually run multiple containers on a
15:10specific virtual
15:11machine which makes it much more portable
15:13and it means that you can manage your
15:15virtual machines
15:16and your physical hardware separately from
15:18how your applications work you could update
15:20let's say
15:20your operating system without really
15:22worrying too much about the containers and
15:24the applications that
15:25are running on that system so it just sort
15:27of modularizes things and it makes it
15:29easier for
15:29it professionals to manage infrastructure
15:32in a more sort of a flexible way and so
15:34being able to
15:35run tableau bridge in a container on linux
15:37is actually a pretty good capability
15:39because it means
15:40companies can do a couple of things firstly
15:41it's linux which means you don't have to
15:43pay for a
15:43windows license just to keep tableau bridge
15:45running and then secondly the container is
15:47the preferred method because again
15:49containers are just a little bit more
15:50flexible and portable
15:52okay the next update is actually quite
15:54useful bridge support for embedded data
15:57sources now make
15:58connecting your data easier with bridge
16:00enhancements um tableau bridge now supports
16:02embedded data sources and published data
16:04sources you might think what on earth does
16:06this mean well
16:07when you go from tableau server to tableau
16:09cloud tableau bridge is what you use to
16:11update data
16:12sources that sit within your firewall that
16:14need to be pushed to tableau cloud for
16:17availability
16:17and workbooks and other data refreshes
16:20until now you couldn't do that with
16:22embedded data sources
16:23and embedded data sources simply a data
16:25source that only exists inside of a work
16:28book it is not
16:28separately published and so what that means
16:30is that when companies were going from
16:32tableau server
16:33to tableau cloud they'd get this sort of
16:35painful awakening that their embedded data
16:37sources would
16:38no longer be supported and so you'd have to
16:40work out a whole new data flow to get data
16:42sources
16:42stood up on side of tableau cloud so inside
16:46of tableau cloud so this update me means
16:49that
16:49essentially the effort required to migrate
16:52from tableau server to tableau cloud goes
16:53down
16:54unfortunately though you'd have to go to
16:56this release as soon as it's launched to
16:57realize that
16:58benefit so in real terms in two years time
17:00this benefit will actually come to life and
17:03an existing
17:04content requiring bridge can now be
17:06migrated as is rather than converting
17:08embedded data sources
17:09to publish once it takes a whole load of
17:11effort it seems like a feature that's been
17:13designed to
17:14make migrations easier rather than a
17:16feature that's been designed to bring
17:17parity that's
17:18sort of how it's being framed here um but
17:20yeah a nice feature i think a lot of people
17:23doing
17:23server to cloud migrations will appreciate
17:26this activity log enhancements the activity
17:29log has
17:29been the place where tableau has been
17:31adding capabilities to allow you to see
17:33what's happening
17:34from your tableau service perspective or
17:36tableau cloud perspective think of it as a
17:38really detailed
17:39auditing capability they've added a hundred
17:42types of usage events the activity log
17:44including access
17:45create update and delete events across all
17:47content types so that's basically if you
17:49take each of those
17:50and you split them up there's probably 20
17:52things in each and you've got them all
17:53covered through
17:54the activity log i need to do a video on a
17:56whole range of activity log this is sort of
17:58the release
17:59where i realize i've got so many small
18:00technical bits that have been accumulating
18:02over a while
18:03that i've not covered and i should probably
18:05cover them in one go admin insights tokens
18:08uh data
18:09source so this is a strange one when i saw
18:11this the first time i sort of thought
18:12thought hey why
18:13do we not get the workbook as well in
18:16essence admin insights is a data source and
18:18what they're
18:19adding is a tokens data source a specific
18:21data source that tells you about your
18:23access tokens
18:24and how they're being used it also has uh o
18:26auth client tokens and oauth database tokens
18:29so all of
18:30your tokens will sit in one place tell you
18:31when they're being used when they're exp
18:33iring i hope
18:34you get this dashboard with it i hope you
18:36don't have to build that out of the gate
18:37because this
18:37dashboard looks useful but i'm also certain
18:39people will be able to build better ones so
18:41if you're
18:41sitting out there thinking of a good work
18:43book that you could build this would be a
18:45great one to kind
18:46of get stuck into suspend extract refres
18:48hers for inactive data sources oh god this
18:51is like one of
18:52those low-hanging freaks that i'm glad they
18:54've solved um if an extract refresher is
18:56running and
18:56no one's using the data source why is it
18:58running it's one of those things where if
19:00you do an order
19:01of tablo server every tablo server has a
19:03certain number of workbooks that sort of
19:05meets this
19:05criteria so thank goodness this is being
19:09enabled i think you might be able to
19:11control um when a data
19:13source is labeled as inactive i think there
19:15's a there's either a variable that you can
19:17sort of
19:17apply or there might be a way of um sort of
19:20toggling that a little bit so i'm not sure
19:22if
19:22you have control of that through something
19:25like tsm or if you're able to set a
19:26threshold but that
19:27would be really good to see once the
19:29features launch i'll have a look around on
19:31that feature
19:32once we get it through and see what we can
19:35do autosave enhancement so autosave is the
19:39capability that allows you to save it is
19:41only web edit specific don't get tricked
19:43into thinking this
19:44is coming to desktop but you now get more
19:46support from tablo autosave to improve
19:48productivity the
19:50latest enhancement autosave automatically
19:52modifies wait this is weird automatically
19:55saves
19:55modifications made while editing a new
19:57never published workbook to a draft so
20:00basically as
20:00soon as you open a workbook it's
20:02automatically saving and they're saving it
20:04to a draft which
20:05means you no longer need to publish your
20:06work immediately to be able to get the
20:08ability to
20:09save draft essentially so this is really
20:11nice and the update allows you to pick up
20:13where you left
20:14off conveniently and this is great if you
20:15're working in the browser because
20:17ultimately it
20:17means if your browser dies or your
20:19connection drops off you've already
20:20automatically got like
20:21a backup that you can fall on the login
20:24flow has been enhanced essentially this has
20:26been redesigned
20:27it's a little bit nicer and a learn more
20:29link for the site uri has been created i
20:32had to create
20:32a video on what the site uri is because
20:34when tablo cloud kicked into action lots of
20:37people
20:37didn't know what their uri was because it
20:39got removed from this login page that was
20:41typically
20:42there back in the tablo days so um this is
20:45now uh been updated to sort of make it a
20:48look nicer
20:49look smoother whoever this is uses last
20:51pass you can see the last pass thing
20:53logging in
20:54that should really be first photoshop that
20:56's free advertising for last pass but anyway
20:58um uh really nice to see this what i think
21:01would be nicer is that if tablo just
21:04centralized all
21:04its login um there's there's currently i
21:07currently have four tablo logins and they
21:09did sort of merge
21:10them all but the problem is is that because
21:12i've had years and years of people using
21:14separate
21:14accounts for separate things it was an
21:16absolute mess so i still just keep
21:18everything in separate
21:19accounts because it's easier than trying to
21:21merge everything into one especially for
21:23people who have
21:23a work profile and a personal profile and
21:26are trying to figure out what to do and
21:28also if you
21:28have an email tied to tablo cloud
21:30unfortunately it's so hard to move things
21:32off that account
21:34that it just becomes impossible so um yeah
21:36never never really sign up to anything that
21:38you want to
21:38keep personally using your work account
21:41sign up using your personal account and
21:43those can move
21:43with you including tablo.com as well so
21:47just bear that in mind okay editable viz
21:50all text is now in
21:51desktop this is not really new this is a
21:53feature coming from web edit to desktop so
21:56this is nice
21:56the ability to edit this in desktop is now
21:59available um command cancellation this is
22:02one
22:02of those things where if you clicked cancel
22:04when a data source was updating it wouldn't
22:06actually
22:07cancel it would do some other weird thing
22:08and so what they've actually done is made
22:10this do what it
22:11says and um it also has an ability to pause
22:14and uh enable auto updates as well baked in
22:17so they've
22:18kind of done everything you'd want to do
22:19when you hit this feature so you don't get
22:21it spinning again
22:22automatically as soon as you go to load the
22:24workbook which is kind of nice.
22:25Accelerators are getting more enhancements
22:28they keep tweaking this sort of design
22:31and I think they're trying to make them
22:32more and more prominent you can kind of see
22:33it's
22:34sort of slowly creeping up you've got quick
22:37start and it's taken up half the page now
22:39I'm sure very soon you'll let you load up a
22:42start page and ask you what do you want to
22:45do and it'll
22:45say here are three accelerators ready to go
22:48and off you go I think that's pretty much
22:51what's
22:51well where this is heading it's um it's
22:53pretty obvious to me but hey let's let's
22:56wait and see
22:56where a tablet end up with this um if we go
22:59to the next one table fonts for web author
23:02ing
23:02uh this is interesting because obviously
23:04web edit is still catching up with desktop
23:06fonts were one of those areas where it's
23:08behind and now you can edit the fonts for a
23:10table
23:11inside of web edit which is kind of handy
23:14red hat enterprise linux that's what rel
23:17stands for it says
23:18so right here red hat enterprise linux
23:20version 9 is now supported for tablo server
23:23so you can now
23:24update to that version of linux or put
23:26server on that version of enterprise linux
23:29dynamic parameters in table extensions so
23:32table extensions are to me this is this is
23:36easily
23:37the um the most uh capable part of tableau
23:41that I think people can use chat gpt for
23:44because
23:44previously you really needed to understand
23:47python and art in order to interact with
23:49table extensions
23:50I now believe it's possible in chat gpt to
23:52basically code your way through this and
23:55feel
23:55like you know what you're doing dangerously
23:58obviously um and build some really
24:00incredible
24:00capabilities um what you need to do is
24:02understand how the table extensions
24:05capability works
24:06but I'll definitely do a video on this
24:07because I've had great success trying a few
24:09things out
24:10that I just never really had the balls to
24:12try before so I'm really interested to see
24:14how this
24:15works and so we can kind of push on with
24:17this and and see where it ends up but when
24:20you have dynamic
24:22parameters inside of table extensions what
24:24you can essentially do is dynamically
24:26change what the
24:27table extension is doing and that means you
24:30can change the query you can change the
24:32call being
24:32made in python and r and you can also
24:34change the way in which you're interacting
24:36with the dashboard
24:37so because these can be part of a data
24:39model by changing the parameter you can
24:41also do things like
24:42change the relationships and how they work
24:44so that's a really really nice set of
24:46features but
24:48that's it that's 23.3 I'm not gonna lie it
24:51does feel a little lighter than usual I
24:53think tableau
24:54gpt and tableau pulse are stealing a lot of
24:57exogen for upcoming releases all the effort
24:59is going into
25:00making that work making that ship I'm sure
25:03tableau just pivoted tons of dev work
25:05towards
25:06ai there's probably a company-wide memo if
25:08it's not ai related I don't want to hear
25:10about it or
25:10something like that and but also we can see
25:13through these little little features here
25:15and there that
25:16there is something there what I like to do
25:18is go to desktop like this and I just like
25:20to look at
25:21this and say hey what's new in desktop
25:23there's a little less that's appreciated if
25:25I go to tableau
25:26cloud there's a little bit more and so what
25:29you start to realize is that yes tableau
25:32really is
25:32heading more towards the cloud I just don't
25:36understand how anyone can not agree that
25:39tableau
25:40cloud will be the best version of tableau
25:42to use because that is the version that
25:44gets just a
25:46boatload of releases every year and tableau
25:48server is getting a bunch of features in
25:50this release
25:51that were also available in the previous
25:53release remember this is the server release
25:55so it's
25:55actually available in this release it'll
25:57get all the previous features not all of
26:00them because some
26:00of them are cloud specific as well as these
26:02releases so this will actually sort of make
26:04its way to tableau server now as well as
26:06everything in the previous release anyway
26:08thanks so much for
26:10watching it's been really good to kind of
26:12go through these features dream forces next
26:14week
26:14look out for that I'm pretty excited to see
26:16what tableau has in store for us at the
26:17dreamforce
26:18keynote the tableau dreamforce keynote as
26:20well as salesforce of course and what they
26:22have to say
26:22about everything and maybe do a reaction on
26:25the salesforce keynote and the tableau
26:27keynote just
26:28to see what they have to say about ai and
26:29chat gpt but I don't really know much about
26:32it so we'll try
26:32and figure out what's going on there and I
26:34'll catch you in the next one thanks for
26:36watching
26:36and I'll see you soon
26:38you
26:48[BLANK_AUDIO]
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