Tableau 2024.2 Features

0:00Hey it's Tim here.

0:0124.

0:012 is about to come out.

0:03Let's find out what's in this release.

0:04Let's get stuck in.

0:06Okay, so right off the back of conference, 24.

0:092 is about to come out

0:10And Tableau have released the coming soon page.

0:12The coming soon page is typically when Tableau says, hey, this is what's going to be in this release.

0:17Sometimes, sometimes those features don't come out on release day.

0:20They get maybe phased later into the month

0:23But with only three releases a year now, 24.

0:262 is a critical update because it's also the only update for Tableau server.

0:30Yes

0:30If you have Tableau Server, you don't get updates with each release.

0:34You only get them every other release.

0:36So that's super important to bear in mind.

0:38This is going to be the server release for this year.

0:41So the pages here, I'm just going to scroll down and what we're going to do in this video is I just like to do a rundown of these features.

0:46Tableau tend to have them in a funny order, but what they do do is group similar features together.

0:51So we'll try and go through this in the logical order.

0:53If you haven't seen already, I've got timestamps here, so you can just jump ahead to the specific features and you can drop something in the comments if you want to know a bit more about one of the other features.

1:03I will do a breakdown on each of these features once 24.

1:062 is out

1:07I'm trying to hold tight with my principle of only doing videos of features that were released.

1:11I kind of broke it with Viz extensions and lots of people got upset with me for making a video about something they couldn't use.

1:16So I'm trying to stick with that.

1:18We're gonna make videos once this is released

1:20Right, let's start with Einstein Copilot.

1:22So Einstein Copilot is a capability I've covered on this channel already.

1:26It's essentially a capability that works pretty much like other AI assistants where it helps you do a specific activity

1:33within Tableau.

1:34The advantage here is it's trained and it operates within Tableau itself.

1:38So if we click on the first one here, let's go to uh this one.

1:41Oh my mouse is sensitive today.

1:43Einstein co-pilot for Tableau data exploration.

1:47So

1:47You can see this area here on the right hand side if you just follow my cursor.

1:52And that's essentially an Einstein tab.

1:54Now what I will say is that for a long time now, actually three years now, this right hand side panel

1:59has been the place where Tableau's traditionally put AI, uh, explained data, uh, uh data guide, all of these capabilities have lived on this right hand side.

2:08And so it's not actually that new of a thing.

2:11There's always been AI and machine learning in Tableau for quite some time, but this is the first time we have a chat-like interface to that capability.

2:19And it's

2:19It's kind of the advantage of large language models.

2:21We can take some sort of intention and use that to drive Tableau in the way we want.

2:26And so if you've been part of this beta process, you maybe already know a bit about Copilot, but it's pretty straightforward.

2:32You can essentially use it to help guide you through specific steps in your particular workbook in this case, and you can essentially ask it questions to sort of support you.

2:41It will also do things like hint things you can do as well in certain contexts.

2:45So I think a super useful feature.

2:46I won't I won't dive into too much here because

2:49We don't have the product in front of us, but just to call out, this is coming and it's going to be great for data exploration.

2:54Just opening up a workbook.

2:55If you're doing this inside of Tableau Desktop, it makes total sense.

2:59The big question, the big question I'm not clear on is will this be available in Tableau Public um desktop edition?

3:05Essentially the free version of Tableau.

3:08I'm not sure.

3:08That's not always been clear.

3:10And I think the AI features haven't always come across to that uh public edition.

3:14So that's that that's just something to be aware of.

3:16But

3:16Nonetheless, good to see that this is coming.

3:19We also get it for Tableau Prep.

3:21Now, Tableau Prep is actually where I'm excited because Tableau Prep is a really powerful tool that I don't think enough people use

3:28It's underused 100% and there's so much it can do for people, especially if you've got something like the data management add-on where you can then get Prep Conductor to automate certain flows for you.

3:38You can use it to solve and make workbooks just that much more performant because essentially what you can do is you can pre-compute certain things that are going to be at a row level and then you can take all of that complexity out of Tableau and just leave your workbooks doing the dynamic work.

3:52What Einstein Copilot does here is it helps people find new ways of solving problems that they might not have been aware of.

3:58For example, in this case, I think in this case they want to extract information from a specific field

4:04So they want to get the uh book ID.

4:06And so in here, Einstein Copilot has essentially come up with a formula.

4:10Now, if you're good with formulas, then this isn't going to be a sort of a big deal for you.

4:14But here's the thing, Tableau has a lot of analysts who are new to the field

4:17And they don't have this sort of encyclopedic knowledge of functions.

4:21So this is actually a really useful feature because it exposes those functions and also plays an educative role actually in helping people understand how the product works

4:29And once you do this a little bit, you'll actually just naturally find you start using the functions without copilots.

4:34So it's very much that, a wingman or wingwoman to help you get through your specific use cases.

4:39And I think Tableau Prep is going to be super powerful.

4:42So again, we'll play with that once it's available.

4:46Unsigned copilot for Tableau Catalogue.

4:48Now this is different.

4:49What this is essentially doing is it's uh creating descriptions based on metadata in your data.

4:54So it's essentially gonna go and add that really sort of high quality metadata that lots of people don't have time to type in, but actually something like AI can help bridge that gap.

5:04Now, I haven't actually used this, so I don't know how good these are going to be, but from the demos we've seen, it's been able to add some pretty interesting descriptions about data sets that people just don't bother with.

5:13What I hope this doesn't do is add noise essentially.

5:16You know, these sort of um the these sort of descriptions can can almost come across with a sense of someone trying too hard to write really detailed descriptions when in actual fact all you really need to know is maybe a couple of sentences about

5:27What does this data set do?

5:29Where does it come from?

5:30And what is it answered?

5:31And sometimes you don't even need a sentence.

5:32You could just break that down in the metadata, and that's enough.

5:35So it'll be interesting to see how this sort of plays out, see what the uptake is on this.

5:39They're obviously doing this because not enough people use these descriptions.

5:42So they've clearly deployed AI to sort of solve that problem.

5:45Okay.

5:46Tableau Pulse embedded components.

5:48So this is really cool.

5:49Now Tableau Pulse has been out for a while.

5:51You know, it came out in beta towards the end of last year.

5:54This year we've had an update already with capabilities.

5:57What we're getting here is the ability to embed it inside of um uh any particular web page.

6:03So you can see here what's actually going on.

6:04We're in a we're in a web page, home product catalog analyze.

6:07You can see you've got the standard web menu up here

6:10And then you've got these buttons which don't look like pulse metrics, they look like uh things generated from another sort of uh let's say web uh portal or something else.

6:20They don't look like Tableau Pulse metrics, they don't have the design, but when you click on bike sales,

6:25it actually opens that specific pulse metric down here below.

6:28So this is really really handy.

6:30Um it it was always going to get an embedding component right and this is sort of

6:34the paths to maturity with features with Tableau.

6:36You get the initial release and then over multiple years you slowly start to get the rest of the components.

6:41I've built an embedding uh series that I just have not edited.

6:45I'm so sorry.

6:46I need to just get on and edit it and then release it.

6:49Because I've done part one of that video, but I haven't I haven't released the rest.

6:52So man, editing is hard.

6:54I'm telling you.

6:54It's like, and maybe it's just me.

6:56I need to just lower my pride and put the videos out.

6:58But

6:59It's on its way, it's on its way, and this will obviously be part of that series.

7:03So let's carry on.

7:05Tableau Pulse Dynamics Sorting and Grouping.

7:08So we now have a new sorting capability in Tableau Pulse.

7:11You know, these are sort of the growing pains of a of a young feature, right?

7:14That just basic things like sorting just didn't exist on day one.

7:18You can now sort by the data source, the metric name recently followed.

7:21I'd love to see that sort of get a little bit richer.

7:24Um I'd also like the ability to delete one.

7:26I think that is coming.

7:27But for whatever reason that is hard and didn't exist out of the the the the the

7:32out of the gate.

7:33I I won't sort of make a joke about not being able to delete not being sort of a a simple feature to do because with every platform, when you've got a ship, you've got a ship.

7:42And then sometimes the most seemingly simple things

7:45are actually quite complex given how they're implemented.

7:48So um I don't know enough context about that.

7:50So we can come back to that.

7:51Tableau pulse metrics in catalog.

7:53So this is just essentially an extension of the Tableau Catalog

7:56Now showing Tableau Pulse metric definitions linked to data sources.

8:00Tableau catalog is a feature you only get if you have the data management add-on, but if you do have that add-on, you get this wonderful view of data lineage that is available to you pretty much all the time.

8:10And so adding Tableau pulse metrics adds that assets to the list of capable assets like workbooks, sheets, owners, uh data sources, flows.

8:19And it's kind of interesting where it's put it in the hierarchy just after flows.

8:22Because essentially flows can feed uh metric definitions.

8:25But what is super interesting, I I think this is a very subtle clue where Tableau is going.

8:30Metric definitions is in between flows and workbooks, which which suggests that

8:35Tableau has a few more opinions we yet to see on semantic definitions of metrics being done prior to the workbook.

8:42And I think that's super interesting.

8:43We saw a bit of that at Tableau Conference and I think we're going to see more of it here.

8:47So a little subtle placement there, but I think it speaks volumes to sort of some other thinking going on.

8:52That kind of is exposing itself here.

8:54So uh really interesting to look out for that.

8:56Viz extensions, custom charts for Tableau.

8:59Yes, this is this is sort of long coming.

9:01I've been absolutely

9:02uh you know uh looking forward to this and I will say I did a video now nearly nine months ago about how to do a Sanky chart.

9:10This very Sanky shot.

9:11And it's had a ton of views and the biggest the the most annoying comment on that thing is when will this be available?

9:16And I've never known.

9:17We now know 24.

9:192 is when this will be available.

9:20But there's a lot more to this than sort of meets the eye.

9:24Number one, I think this will only come to Tableau Desktop, not Tableau Desktop Public Edition.

9:29I think they're building a community version of the Tableau Exchange to enable this to work more generally.

9:34The other thing I'll say is that look, we haven't seen this all in their final form because the features haven't launched.

9:41We haven't seen sort of the pricing models that are going to start coming up in the shop say

9:45Um jump at this, play with this, learn how to use it.

9:48But I think there's a few mechanics that we're yet to see play out properly, and it's it's quite a simple thing.

9:53But we also haven't seen like all the charts that Tableau are gonna build.

9:57Sankey is their first one.

9:58They previously did a radio chart as well.

10:00I think they're gonna build some vanilla ones that are all sandbox and won't sort of need uh the internet to work

10:05But that's definitely a detail to sort of make sure you you dig into when you explore these.

10:10Now, multi-fact analysis.

10:12There are a few features in Tableau that come around.

10:16The fundamentally change the way you think about, not just not just the task in hand, like data modeling or whatever, but fundamentally change what's possible as well as how you do the things you think about on the flat pool

10:29Multi-fact analysis is absolutely one of those changes.

10:32Multi-fact analysis, I think, is also going to expose the lack of awareness of relationships within Tableau because you're not going to be able to achieve this without using relationships

10:42And in summary, multi-fact analysis allows you to do something where you can use shared dimensions across multiple logical models inside of Tableau.

10:50If you have no idea what I'm talking about, just Google a Tableau relationships and watch a video by me, SQL Bell.

10:56Many people have made videos, right?

10:57Just watch that video, give it the 30 minutes or 20 minutes it deserves because it does take that long to get into the topic

11:03But once you realize the potential of relationships, you basically will never want to do a join again.

11:08I rarely do joins as it is.

11:10I only do joins when I want really specific behaviors.

11:13that can't be achieved with relationships and relationships can pretty much do most things.

11:17So there's basically never really a complex use case that justifies me not using relationships.

11:23So definitely check that out.

11:25Now multi-fact analysis take that sort of one step further.

11:28Before with relationships, you couldn't have a dimension shared between two logical models.

11:33You now can.

11:34So in this chart here, you can see that inventory and marketing are sharing like a dimension between each other.

11:41Now I don't know what that dimension is.

11:42You can see this here, it's sort of not super clear

11:45But that thinking can go even further.

11:47So you can have inventory, marketing, sales, and support, having shared models across this whole entire data model.

11:53And this starts to represent the kind of thing you see in Salesforce.

11:56It starts to represent the kind of thing you see in organizations where you've got products

12:01that you know you you want to monitor their sales but see how that relates to marketing spend but also see how that relates to inventory but then also see how that relates to support tickets.

12:10You want to be able to have all those perspectives without joining multiple data sets on each other and just being able to create a single data source that answers those questions and let Tableau handle how it handles X-Tracts.

12:20Let Tableau handles

12:22how it sort of brings all these together.

12:23Let Tableau handle the speed and performance and figure out what kind of relationships need to work between the data sets.

12:29This is going to be an absolute game changer.

12:32So

12:32I cannot wait for them to do this.

12:34And the other really powerful thing, it's a subtle flex.

12:37It's sort of not obvious.

12:38But if you just look over here, we're doing this across different types of data sources.

12:42So this this this this to me represents what really happens within business, right?

12:46Google Sheets, Microsoft Excel, Microsoft SQL Server, and Oracle.

12:50That is literally the standard like enterprise setup.

12:53Flat files where they shouldn't be.

12:55Uh and a mixture of architecture because one team, let's say marketing has gone down the SQL Server is your route, whatever, and another team has been, you know

13:03snapped by Oracle and they've gone down that route, right?

13:06And it might just be that those databases are also better for the sort of front facing production systems that feed into them.

13:12So very standard use case, very standard challenge, and something that is now going to be so easy in Tableau.

13:18But it's just a fundamental change to how you think about creating a connection.

13:22If the first thing you do is you open Tableau and you go in and create a join, you need to start rethinking how you're going to learn Tableau.

13:29and start thinking about relationships.

13:30So I can't stress this enough.

13:32I've gone on for too long already.

13:33Multi-fact analysis is gonna be a huge, huge thing.

13:36I'm gonna probably try and do like a 40 minute video about this.

13:39to really try and walk people through an example.

13:41I'm sort of building a good sample data set.

13:44Kirk Monroe has done a fantastic session.

13:46I can't say this enough at conference.

13:48Go ahead and check this out.

13:49I'll probably put something on screen now so you can go see it.

13:52So be sure to do that.

13:54Right, from one fundamental thing to the next.

13:57VisQL Data Service API.

13:59Now, VisQL data service is a capability that allows you to essentially take data from a data source inside a Tableau and instead of pushing it to a visualization.

14:07You can push it to a third-party system.

14:09So think of it as an API way, a bit like D3, where you can take some sort of data from somewhere and plug it into your own visualization front end.

14:18In fact

14:19When we looked at this capability, where is the Tableau Pulse embedding thing?

14:26Where did it go?

14:26Here we go.

14:27This Tableau pulse embedded metric, I have a funny suspicion that those numbers here at the top are using VizQL data service to actually pull those metrics through.

14:36from Tableau Pulse itself.

14:38That's my home.

14:38So those two metrics at the top are using VizQR data service to get those numbers from a data source.

14:44When you click on that it fires up the pulse embedded component so you can get the rest of of that capability.

14:50So

14:51Um, really, really important capability.

14:53Now they've done a lot of talks at conferences, but I think this is quite an abstract thing to understand and undersact how it works.

14:59But I think the the API is super important because the API is going to make that a little bit more programmatic and it's going to allow developers to really scale up the potential there.

15:07So be sure to check that out.

15:09Okay, custom schedules for Prep Conductor.

15:12Now, this is an interesting one.

15:15I think it just means you can choose the exact times your data sources get refreshed.

15:18And of course, with Prep Conductor, you need to have the data management add-on.

15:23And the nice thing about this is a little bit more control.

15:26Now, I don't know if this is specifically for Tableau Cloud.

15:30Streamline blah blah blah blah blah blah blah.

15:32So I think it's Tableau Cloud, because in Tableau Server you wouldn't really have had this issue.

15:36So

15:36Let's go ahead and just do this very quickly.

15:38Let's go ahead and select Tableau Cloud and just go back and see if we can find that issue.

15:43VisQL data service spell check.

15:45No, so

15:46It I think it's just Tableau server catching up.

15:49Here I am sort of thinking, oh, isn't this a massive new thing?

15:52But no, um, no, it's not.

15:55It's not um

15:58Interesting, it's just in prep conductor.

16:00So tablet prep conductor.

16:02So this must be across the whole board.

16:04It must be across the whole board.

16:05And maybe there's a specific thing I didn't realize before, which is previously the schedules were preset.

16:12Whereas this Whereas this looks like you can define it specifically for a single flow rather than having having it sort of sit sit sit on a schedule.

16:23So

16:24This is a good example of something you have to dig into a little bit more when it launches to understand what's different.

16:29And probably what I should do now is go and check what it looks like now and understand what is net new.

16:34Uh this always happens.

16:35Um so really it's really good to sort of just get the detail of what exactly is new.

16:40Okay, local file saving for Tableau Public Desktop Edition.

16:44This is huge.

16:45What this essentially means is that there's a free version of Tableau Desktop, which doesn't require you to use Tableau Public or publish the Tableau Public.

16:52or connect to Tableau Public in any way whatsoever.

16:55I've already made a video about this.

16:56It's already on the channel.

16:58Go ahead and check this out.

16:59This this is going to open up opportunities.

17:01Let's say you're in an organization, you're trying to prototype whether or not to use Tableau for something.

17:06Well

17:07Now you can just export a flat file from your system just to prototype this solution, go get this, build a solution tableau, iterate through it a bit more, put it in front of your execs and say, hey, is this useful?

17:18And if they say yes, well, you can say, right, in order to productionize this, we're going to need one Tableau desktop license and uh we've already got a Tableau server, so let's go turn that on.

17:26Or if it's something where you don't have any analytics solution, you can start that discussion to get the enterprise capability to share these and govern these and put everything you need around these.

17:36But

17:36This is gonna be an absolute game changer.

17:38Now everyone says, oh, game changer, game changer, game changer.

17:41Yes, it can be sort of overused a little bit.

17:45But from a learning perspective, this is huge.

17:48I will make videos going forward now with an assumption that everything I show you can be done in Tableau Desktop Public Edition.

17:55This opens up new opportunities for content to things to show you because it just means that we can all use the same data set rather than go into your superstore all the time.

18:04I can now start sharing on GitHub or through a link

18:07the exact data source I'm using, you can follow on in the exact version that I'm using.

18:11I can actually link to you the version that I'm using and you can just do the exercise and learn along with me.

18:16So

18:16Again, for learning, for tutorials, for education.

18:19It's going to be huge.

18:20Just think how many people need to learn about data and just need a tool that they can use to explore data with.

18:26Here you go, they have it.

18:27It's perfect.

18:28So really really cool.

18:29Um autosave as part of Tableau Public Desktop Editions kind of important.

18:33If you can save locally, you need to be able to autosave.

18:36So you kind of get autosave for free.

18:38Um, no sort of big deal there.

18:39Spell check on cloud and server.

18:41My word.

18:42It's funny that this comes on tablet cloud and server, but not on the desktop product.

18:47Kind of says something.

18:48So Tablet Desktop and uh Tablet Cloud and Tablet Server are built on different technologies.

18:53Inherently, cloud and server are web technologies, right?

18:56So

18:57In web authoring in those environments, Spacheck is pretty easy to do because it's just a native part of the browsing experience.

19:02So you can kind of bring it in for free with a library.

19:05Inside of Tableau Desktop though, that's not built on web technology.

19:08It's going to be slightly tricky.

19:10But I wonder if this will come to Tableau Prep, because Tableau Prep is essentially a web wrapper.

19:14So it'd be really nice to have spell check in those.

19:17But nonetheless, really nice to have the very basic feature.

19:20Um, nice to have.

19:21Tableau prep right to S3.

19:23It does exactly what it says in the tin.

19:25You can export to S3.

19:28Writing CSV and parquet files on Amazon S3.

19:31Now I don't know enough about Parque, but I know that everyone gets super excited about parquet support and S3 and Tableau.

19:37So I will do my due diligence, learn up on parque, and uh we'll come back to you on the significance of parquet versus CS3.

19:45Okay.

19:46Um CS3?

19:48S3.

19:49CSV, sorry.

19:50Incremental extracts with subrange refresh.

19:53This is pretty cool.

19:55I think this says exactly what it says on the tin.

19:57So an incremental extract.

19:58Let's send the let's blah blah blah

20:00An incremental extract essentially allows you to run an extract that doesn't refresh the full data source, but just looks at a key column.

20:07It could be date.

20:08And when it spots new records based on that date field, it will bring those additional records in.

20:13This is good if you're working with a data set where

20:16Historic records aren't changed.

20:18Only new records are added.

20:20And so it saves you having to refresh the entire thing.

20:23And it means you don't get this sort of nasty sort of

20:26Real buildup of large data sets that are just taking forever to refresh.

20:30Instead, incrementally, you can just be adding a thousand rows maybe every hour and it's just staying to staying afresh.

20:35And that hour task takes minutes.

20:37Whereas refreshing the whole entire database every single time could be taking 10, 20 minutes, taking up database resources and slowing things down.

20:45What a sub-range refresh seems to suggest.

20:48As you can um let's just read it.

20:51Keep data fresh and reduce costs associated with full actual refreshers by setting a date range to refresh for incremental refreshers.

20:58So

20:59What this kind of suggests is taking that paradigm a little bit further.

21:03So you're still using dates, you're still doing a number increment, but

21:07You can do it for a range.

21:08So maybe you can say, look, go back the last month and get everything that's new as as as a as a concept, right?

21:15Or

21:16Go back the last year and get everything that's new because you know that everything beyond a year doesn't typically change and you don't actually care about it.

21:23So you can create data sets where you can tell people that the data as of the last 30 days is always uh fresh

21:29Data older than that is stored as a snapshot in my dataset.

21:33So that's kind of nice because it kind of means you can have the best of

21:37Both worlds.

21:38Do what's kind of current and new, but then also have a snapshot in the same data set and then just create a calculation to s to mark the old records as snapshots and the new records as fresh.

21:47Nice and easy.

21:48Really, really cool.

21:50Um attribute-based access control for content access.

21:54So attribute-based access control essentially looks at an attribute coming through from your application and it's able to use that

22:01for accessing content.

22:02So this means you could essentially dynamically leverage information in your identity provider, let's say Okta, to onboard users and assign the kind of level of access they have.

22:11Let's say you're

22:12uh um identity provider says that this person is a manager you can automatically add them to a manager group and managers all become explorers and therefore they get the explorer role under assigned access at the point they're logging in automatically no prior work needed to be done

22:26or to request stuff.

22:27So that's sort of a really uh powerful capability.

22:30Tableau ID single sign-on.

22:32So get a seamless single sign-on across all products and services on the Tableau platform with a Tableau ID.

22:37Now this is new

22:39This is very new.

22:39I don't know what a Tableau ID is, but across all products and services on the Tableau platform.

22:46Now this

22:48This could be interesting.

22:49This could be the groundwork towards some of the stuff we saw at conference, and this is all speculation.

22:54I'm just saying, why would you need a tableau ID?

22:56What's wrong with the Salesforce ID?

22:58Number one.

22:58I know everyone maybe is not a fan of Salesforce, but that would to me would be the sort of universal ID.

23:03So one ID that's specific to Tableau to use across all the applications.

23:08It sounds to me like Tableau is trying to bring all these experiences into one experience.

23:12So really, really good to have that.

23:15Multiple external IDPs on a site.

23:18So get increased user access flexibility with single sign-on from multiple identity providers on a single site.

23:24Enable up to 20 identity providers on a site.

23:27So really, really cool to have this.

23:30Previously you could only have one identity provider on a single site.

23:33And so it was kind of difficult to get that to work in some scenarios because companies have slightly different structures in terms of identity providers.

23:41Uh an organization might have different identity providers because they maybe um have different types of business units.

23:48So if I take a delivery company, for example, it might have

23:51One identity provider that's suited for you know back office staff and another identity provider for um staff who are out doing deliveries as an example.

23:59That that sometimes happens for very good reasons.

24:02Um so yeah, this is uh this is a nice capability to be able to have.

24:05Activity log enhancements.

24:07Activity log gives you information about what's going on in Tableau Cloud.

24:10And this one, new events record failed and successful login attempts and audits prep flow data external outputs.

24:18Admins can interrogate data with SIEM monitoring tools

24:22to provide security risk, alerting and analytics.

24:26So that's um that's a nice sort of uh enhancement I guess resource monitoring enhancements

24:32Uh get alerted to low disk space and use RMT admin status to determine if database cleanup is needed.

24:39An expanded set of tasks are now linked to data query execution.

24:42Cool.

24:43Service intelligence integration.

24:44Service intelligence is a capability within Salesforce.

24:47So this sounds like uh an integration into the Tableau ecosystem.

24:52So let's read this.

24:53Explore data from service intelligence for Salesforce using Tableau with just the click of a button.

24:57Click the explore and tableau button to connect service intelligence to Tableau Cloud for a deep exploration.

25:02So if you've got Tableau Cloud and you've got Salesforce intelligence integration, you just click the button and boom, it opens up a data source.

25:08We think we saw this at a demo nearly a year ago and now it seems to be kind of coming out.

25:13So Trailhead Integration, a free introductory course, a Tableau on Trailhead, Salesforces' learning platform.

25:19You can now complete

25:20Guided hands-on learning modules with the real Tableau Interface and get instant feedback on Viz as you build within the course

25:28Oh, that's incredible.

25:29Shit, seriously, that is really good.

25:32Contextual interface of Tableau inside of Trailhead.

25:35That is that is Chef's Kiss.

25:37That is it.

25:37That's gonna be a huge capability.

25:40Profile organization.

25:41With a few clicks, Einstein generates categories for public visas and groups your visas into these categories, creating an organized profile.

25:48So um

25:49That's kind of nice.

25:50It sounds like we're getting a lot more enterprise features.

25:53Things are sort of getting a little bit more designated to their homes and just feeling it's just getting a sense that things are starting to come together.

26:01Um, which is nice, which is nice.

26:03Last one, recommended visas.

26:04Uh are you interested in what other Tableau Public Users are creating?

26:07Easily discover content relevant to you.

26:09Simply scroll to the bottom of any given viz page to see personal recommendations for what viz to check out next.

26:15So

26:16They're essentially using some smarts to see what you might be interested in and they're offering those to you as visualizations.

26:21So I think that's it

26:23Now, this is not the full list.

26:25What you always want to do is go out and check the Tableau release navigator that has the full list of capabilities.

26:30There will be sort of small enhancements in there as well that won't be on this list.

26:33This is very much the marketing list.

26:35This is what they're going to go to town with and tell people is new in this release.

26:39But there'll be a ton of small things as well that don't get mentioned.

26:42It's happened before, it's going to happen again.

26:43So be sure to look out for those.

26:46But yeah, that's pretty much it.

26:47As ever, be sure to tune in as I start to make videos for these over the coming weeks.

26:51I might start early.

26:52I might break my rule and start early because there's a lot here and some of them I don't understand.

26:55So we might start making the easier ones early because they're generally available already.

27:00And then we'll start to kind of um break through some of the others as the release comes out.

27:05All right, thanks for watching, and I'll see you in the next one