Tableau 2024.1 Features : Coming Soon.

0:00Hey, it's Tim here, it's 2024 and 24.1 is

0:03round the corner.

0:05I think there's a bit of an elephant in the

0:06room that we need to discuss, but as ever,

0:08let's get stuck in.

0:09Okay, so I'm here in 24.1.

0:11Actually, I'm here in my recording screen,

0:14but nonetheless, we're here on the Tableau

0:16coming soon page.

0:17This is pretty much the hint that the next

0:19release of Tableau is just around the

0:21corner.

0:21And so it's always a good thing to come to

0:23this page.

0:24And I like to just do a video and go

0:25through this.

0:26If you're new here, hit the subscribe

0:27button.

0:28I make videos about Tableau and other tools

0:30as well.

0:31So let's have a look at what's in this

0:33particular release.

0:34Let's find out more about what Tableau has

0:36in plan.

0:37Now the very beginning, I talked about an

0:39elephant in the room.

0:40I think I'll just come out of the gate with

0:41it and just say, look, this looks like the

0:43release for Tableau Pulse.

0:45If you go to the coming soon page and you

0:47just scroll down, the first I'm going to

0:50say

0:50four rows are just Tableau Pulse.

0:53So to set some expectations, because this

0:55is a Tableau Pulse release and Tableau

0:57Pulse

0:58has many features in it, the bulk load of

1:00these features will be Tableau Pulse.

1:03The elephant in the room is that last year

1:06Tableau changed the cadence of its releases

1:08to align with Salesforce.

1:10So Salesforce has three releases a year

1:12pretty much to align with the seasons.

1:14And by doing that, what that has meant is

1:16that the cadence of when we expect features

1:18has changed.

1:19And what that has sort of done is it's

1:21moved things kind of out of place.

1:23And so I had assumed last year when the

1:26beta for Tableau Pulse came out that that

1:28was the

1:29Tableau Pulse release.

1:30But it looks like this is the release where

1:32it comes out of beta and it's going to be

1:34available to everyone.

1:36The elephant in the room, though, is that

1:38because it's a Tableau Pulse release, it's

1:40basically got nothing else in this

1:41particular release.

1:43And that's a bit of an unfair statement.

1:44There are other features in here, but I

1:46think it's fair to say if I was to just go

1:48to this

1:48page and go to the products dropdown and

1:51choose Tableau Desktop.

1:53There's only two features and they're not

1:55necessarily analytical features.

1:56And so I think it is fair to say that Table

1:59au Pulse has taken a large bulk of this

2:01release

2:02for more desktop and, you know, analytical

2:04related features.

2:05We might have to wait until the next

2:07release.

2:08But I'm also pretty excited about the

2:10things I think will come out this year.

2:12So I'm not too worried about that.

2:13I think it makes sense if Tableau Pulse

2:14comes out the beginning of this year.

2:16I really hope and expect that the next two

2:18releases, the only two releases for this

2:21year

2:21will be big blockbuster releases with

2:23things that we've been asking for.

2:25There's already lots of hints on social

2:26media about what that will be.

2:27I think chart types are going to be a big

2:29thing in that we're also potentially going

2:31to get desktop related features for AI.

2:34So something like Tableau Copilot, which

2:36has been demoed at Keynote, would be

2:38something

2:39that we'd expect to hopefully see this year

2:41alongside all of these other amazing AI

2:43features.

2:43So that's enough context for this release.

2:45That's the elephant in the room discussed.

2:47Let's go ahead and select all products and

2:49let's just go down this list in

2:50chronological

2:51order like I like to do.

2:52So let's do it.

2:54So we've got Tableau Pulse.

2:56This is just Tableau saying, hey, this is

2:58now out of beta.

2:59This is in production.

3:01I'm surprised.

3:02I thought this would come out in round

3:05about April, actually just after conference

3:08.

3:08After my one hour video where I went

3:10through it for the first time, there was a

3:12few bugs

3:12in there that I think maybe they're pushing

3:14to fix right now.

3:15Maybe they've known about them and they

3:16have fixes for them.

3:17In my eyes, I think there were just a few

3:19things about the UX and the experience that

3:22were missing a little bit.

3:23And I think to release those products

3:25without those questions answered in a more

3:27coherent

3:28way potentially causes a risk in two ways.

3:31Tableau often suffers from this problem

3:33where it releases a feature really quickly

3:35and the

3:35feature changes really quickly.

3:37And what that does is it creates a

3:38challenge for people who have to

3:39communicate the features

3:40within an enterprise context.

3:42It then makes it hard to adopt those things

3:44because those features don't stand still

3:46and

3:46you kind of need them to be out for a while

3:48to really know how best to use them.

3:50So by default, organizations don't use them

3:52and when they don't use them, Tableau doesn

3:54't

3:54get the feedback it needs about them.

3:56And then a year down the line, this whole

3:58big thing comes out and Tableau ended up

4:00having

4:00to pivot really hard because they didn't

4:02get the feedback they needed earlier on.

4:04So the beta is supposed to help with that.

4:06But in earnest, the catch here is that most

4:09people who have Tableau Pulse are on Table

4:12au

4:12Cloud.

4:13In fact, Tableau Pulse only works on Table

4:15au Cloud.

4:15And so you're already sort of narrowing

4:17down your user base because a lot of large

4:19enterprises,

4:20some of them actually prefer the Tableau

4:22server experience.

4:23I can't talk percentages, but I'm fairly

4:25confident to say there's a large body of

4:27Tableau users

4:28who are still going to be using Tableau

4:30server who won't have had any interaction

4:32with Tableau

4:32Pulse at all.

4:33They'll only get that experience when they

4:35move to the cloud.

4:36And judging by what Tableau is saying, it

4:38will never come to Tableau server.

4:40So to not have anything else for those

4:42people, I think is going to cause a

4:44challenge.

4:45And for the people who do have it, you won

4:47't have a critical enough user base giving

4:49insights

4:49and feedback onto that.

4:50Anyway, I think I've labored that point too

4:53much.

4:54The other thing to bear in mind is the way

4:56they've sort of grouped Tableau Pulse.

4:59In my mind, Tableau Pulse is the feature.

5:01But if you look at this page, they've gone

5:03Tableau Pulse, Tableau Pulse on mobile,

5:05Tableau

5:06Pulse next gen experiences.

5:08And if you click on that and you look at

5:09what that's talking about, it's essentially

5:12just

5:12the integration of Tableau Pulse into the

5:14rest of the platform.

5:15And they've kind of chopped it up into sort

5:17of smaller bits.

5:19These small bits are features, yes.

5:21But in my mind, they only exist because our

5:25data and the previous one, there was our

5:28data

5:28and there was our data, I forget the other

5:32one, metrics, our data and metrics were

5:35pulled

5:35from the platform.

5:36So these just replace those with a Tableau

5:39Pulse sort of front end.

5:40It's sort of like a rebrand/redo of some of

5:42those features.

5:44So I do think it's, again, a bit misleading

5:46to say that all of this was there because,

5:49yes, probably in the back end, it's a

5:51complete rebuild and rethink of how it

5:53works with Gen

5:54AI built in.

5:55But in all honesty, again, it's really hard

5:59to sort of clarify, you know, why isn't

6:03this

6:03just Tableau Pulse, right?

6:06It's really hard to break down the features

6:07.

6:07So Product Martin can answer that.

6:09I'm not a Product Martin specialist.

6:11But if we go through these features very

6:13quickly, I'll do a separate video on Table

6:15au Pulse once

6:16it's out in public.

6:17I don't like to do videos on betas because,

6:20yeah, things are still getting fixed.

6:22And I think it's fair to give companies

6:24building these things a chance.

6:25So Gen, the next Gen experiences, this is

6:28essentially the interface with Slack and

6:31the

6:32interface with Tableau Mobile.

6:34If I go to the next one, Tableau Pulse GAI.

6:38So this is essentially the AI capabilities.

6:44I always get frustrated with them because

6:46there's a lot of terminology.

6:48And to be honest, we've really not had a

6:50chance to sort of embed ourselves in them.

6:52So I'm going to read this paragraph and I'm

6:54going to try and break it down just to give

6:55you an example.

6:56So Tableau Pulse is powered by Tableau AI.

6:58Okay.

6:59So right.

7:00Tableau AI is a new feature.

7:02That's really not called out here, but we

7:05will sort of come back to it.

7:07Now you're probably wondering, well, what

7:10does the G in GAI mean?

7:12Let's keep reading this to find out.

7:13A suite of predictive and generative AI

7:16capabilities that simplify and democratize

7:19insight consumption

7:20and data analytics at scale.

7:23So Tableau Pulse GAI is just Tableau Pulse

7:26generative AI.

7:28Okay.

7:29The first feature of generative AI in Table

7:31au Pulse is insight summary.

7:33So Tableau Pulse GAI is like the headline

7:37feature.

7:38Tableau AI is the parent feature of Tableau

7:42GAI.

7:43And within Tableau GAI, pulse insight summ

7:46aries are a sub feature of Tableau GAI,

7:49which is

7:50a sub feature of Tableau AI.

7:52You see what I mean?

7:53Like it gets really complex.

7:55I'm 90% sure that's exactly what it means,

7:57but this stuff is not easy to comprehend.

8:00And it just feels like AI is being thrown

8:02everywhere to make the product look more

8:04exciting.

8:05But there is a little bit of a hierarchy in

8:06structure.

8:07And I think sometimes products just need to

8:09sort of get real with people and just

8:10simplify

8:11the naming a lot more than it currently is.

8:15Let's keep on reading.

8:16This is where the large language model LLM

8:18provides an overview of the metrics that

8:20matter

8:20to you in plain language.

8:22So it's basically giving a summary of what

8:25's going on.

8:26Tableau AI, the high level thing is built

8:29on the Einstein trust layer, meaning it

8:32enables

8:32trusted, ethical, and open AI powered

8:34experiences without compromised data

8:37security and privacy.

8:38The Einstein trust layer is in itself a

8:40separate technology, I think generally in

8:42the Salesforce

8:44platform.

8:45I'd almost sort of refer to it as a

8:46principle within the Salesforce platform.

8:48Now the thing about it is it runs in Table

8:50au cloud.

8:51So I think they can call it the one thing

8:53because it's all run from a central place,

8:56if that makes sense.

8:57So that's just me describing and sort of

9:00breaking down the AI specific terms in this

9:02and why

9:03all these features can kind of feel like

9:04they're repetitive, but there's actually

9:06subtle differences

9:07about them.

9:08So we've just talked about the insights,

9:11you know, summaries.

9:12Now we have the Tableau pulse insights

9:15platform.

9:16That's essentially this sort of interface

9:18that gives you information about the

9:21metrics that

9:21you're creating.

9:23If you watch my video on Tableau pulse, I

9:25do break down this sort of methodology that

9:26they go through of creating metrics

9:28definitions.

9:29And then from that, creating your metrics,

9:30I think it's actually quite a useful way of

9:32thinking about it.

9:33Even if you're not going to use Tableau

9:35pulse, it's a good way to think about your

9:36own dashboards

9:37and analytics to really drive home what it

9:39is people are trying to answer and the

9:41questions

9:41people are trying to answer.

9:43So this is pretty cool.

9:44So knowing where, when and why to pay

9:46attention to your business has never been

9:48easier with

9:49Tableau pulse, the insights platform

9:51automatically detects drivers, trends,

9:53contributors and

9:54outliers from the metrics you follow.

9:56It proactively flags changes the matter to

9:59you.

10:00It proactively flags changes that matter to

10:02you.

10:03God, I didn't read that right.

10:05Using natural language and supporting

10:07visual explanations, users can receive

10:09proactive

10:09guided questions to progressively reveal

10:11business insights via conversational

10:13interface.

10:14I'll put up a video of me doing that.

10:16I actually just kept on tapping the text in

10:18this particular instance to kind of get

10:20these

10:21loaded up and it was actually quite good.

10:23And I was quite fond of it.

10:24This experience has previously been

10:26possible in something called all tricks

10:28auto insights.

10:29But again, who's heard of all tricks and

10:31who is using all tricks insights?

10:33Good question.

10:34Exactly.

10:35So Tableau will be perceived to be the team

10:38that's bringing this to the mainstream.

10:40But it's not an entirely original thought.

10:43Some of this has appeared in other bits of

10:45products.

10:46Power BI users always tell me in the

10:48comments, hey, this has been in Power BI

10:50for years.

10:51And so, yeah, there you go.

10:52I can't come back to those comments because

10:54I don't use Power BI.

10:55So power to you.

10:57Let's go back to this list.

10:59So Tableau pulse metrics layer.

11:02This to me is just the metrics capabilities

11:04, but redefine say the interface and the

11:06capability

11:07to define your metrics, create those

11:09metrics, then instantiate those, you know,

11:12around the

11:12platform.

11:13So it starts with a metric definition.

11:14And then from there, you can create

11:16multiple metrics that feed from that metric

11:19definition.

11:20The powerful thing is you choose the

11:21dimensions and the elements that can cut

11:24your data.

11:24And then from there, the rest is all up to

11:26the user and how they interact and how they

11:28make cuts.

11:29So that's a pretty powerful feature.

11:31Tableau pulse recommended metrics.

11:33So this is actually quite interesting.

11:35So derive actionable pulse metrics from

11:38Tableau dashboard visualizations.

11:40Utilize a Tableau data guide feature.

11:42You can select a visualization within a

11:44dashboard to receive tailored

11:46recommendations for potential

11:47pulse metrics.

11:48So this is quite nice.

11:49I hadn't actually played and noticed this

11:52before in my little demo.

11:53So it gives you this area on the right hand

11:56side.

11:56You can just see here.

11:57And there's a little option in data guide

11:59that then pulls out metrics from these dash

12:01boards.

12:02So it seems like there's a way to use the

12:04data sources from dashboards to drive Table

12:07au

12:07pulse.

12:08And that's sort of a nice thing.

12:09Again, this is a replacement of metrics

12:11that was previously there.

12:13This time with Tableau pulse sort of

12:14layered on top.

12:15So let's go ahead to the next one.

12:17Tableau pulse and Slack makes a lot of

12:20sense.

12:20Tableau pulse email digest.

12:21I've been getting these.

12:22I really enjoy them.

12:23I don't have anything exciting in my data

12:25though.

12:25So they look boring.

12:27But I imagine if you're connecting these to

12:28real data sets, I think this would be a

12:30really

12:30powerful feature.

12:31I think a lot of people are going to love

12:33this once they build their metrics.

12:35Tableau pulse metrics search.

12:36This is also quite good.

12:37I showed this in my video.

12:39I think it's a shame that the search is not

12:41part of the Omni search experience across

12:43the whole entire Tableau cloud platform.

12:45But nonetheless, I think this is going to

12:47be a pretty nice addition.

12:49What I hope is it also starts to nudge

12:51metrics at things you should be aware of.

12:53So that's something that even Tableau

12:55server and Tableau cloud are capable of

12:57doing.

12:57Let's hope it comes to Tableau pulse soon.

12:59Tableau pulse web component.

13:01So you can take Tableau pulse out and embed

13:04it in other places.

13:05So this is an embedded example.

13:06And it makes sense that pulse gets an

13:08embedded story to go with it.

13:10And yeah, you can just go ahead and take

13:12pulse metrics and put them inside of your

13:13application.

13:14And you can, I think it looks like here you

13:16can embed the whole entire metric and the

13:18whole right hand side is just generated for

13:20you by Tableau, which is pretty fantastic.

13:23I think there's a lightning web component

13:25for putting Tableau pulse into Salesforce.

13:27That makes a lot of sense.

13:28You'd expect that given Tableau is a Sales

13:30force company.

13:31So no surprises there.

13:33And then we get to the rest of the features

13:34.

13:34So that's sort of the full range of Tableau

13:36pulse features.

13:37The next features are sort of just native

13:39features.

13:40So Tableau cloud on AWS marketplace.

13:42So you can essentially go to the AWS

13:44marketplace and set up a Tableau cloud.

13:47So you get a simplified billing experience,

13:49streamlined procurement, and a single view

13:51of IT spending.

13:52Why would you do this rather than just

13:54going to Tableau directly?

13:55Well, some companies enter into extremely

13:57large contracts with AWS and they have what

14:00are called AWS credits.

14:01They can actually use those credits to

14:03words Tableau cloud, which means their, you

14:05know,

14:05their essential sort of bill for AWS comes

14:08under one roof.

14:09And because they're thinking about the

14:10cloud, they can actually just conceptualize

14:12everything

14:13around the cloud in one place rather than

14:15having all these separate relationships.

14:18So that's quite a nice feature, especially

14:19I think for small organizations who are

14:21just

14:21getting started really quickly and need to

14:23stand up something quick, not really going

14:25to need to negotiate terms with Tableau.

14:26And they can just go to a webpage, stand

14:28something up quickly, run a trial for a

14:30couple of weeks

14:31or a month and see how it goes and then

14:32kill it as soon as it's done.

14:34That's sort of the kind of experience you

14:36want to be able to stand up project quickly

14:38.

14:38And then over time, you can kind of figure

14:40out how you transition from, let's say one

14:41cloud to another.

14:43But that's essentially the spirit.

14:46Migration SDK.

14:47So this is actually pretty important.

14:48We talked about Tableau server at the

14:49beginning of this video.

14:50If you're going to be moving from Tableau

14:52server to Tableau cloud, because you really

14:53want PaaS, maybe, you're going to need this

14:56because at the moment, migrating from

14:59server

14:59to cloud or cloud to cloud, it's actually

15:02pretty hard.

15:03And lots of companies are trying to make

15:05tools behind the scenes to make this easier

15:06to do.

15:07But there's also just a few challenges in

15:09terms of feature parity.

15:10So what Tableau are doing here is they've

15:12created a software development kit.

15:14That's what SDK stands for and allows

15:17companies and users to build applications

15:20that do that.

15:20They do this moving for you in a more

15:22automated way.

15:23So let's say you've got a workbook and you

15:24want to move not just the workbook, but all

15:26the associated users.

15:28An SDK would give you access to all the

15:30relevant tools like creating permissions,

15:32moving and

15:33publishing everything, moving data sources.

15:35That's what an SDK would let you do.

15:37So think of it like an API, but it's for

15:39applications to use to actually control

15:41Tableau and move

15:42things across.

15:43So that's pretty handy.

15:45Use data storage makes sense of your data

15:48in Tableau cloud with expanded storage.

15:51Now every site on Tableau cloud gets one

15:53terabyte of data storage.

15:55Enterprise SKU and advanced management

15:57customers get five terabytes of data

15:59storage per site.

16:00So these are for the Tableau cloud

16:02customers who are running what I would

16:04consider extremely,

16:06extremely large extracts or are running

16:08very, very large sort of capacities.

16:10Now the reason you probably do this is

16:13because your top sort of tier of customers

16:16are now

16:16sort of in that one terabyte scale.

16:19So essentially they've bumped up all the

16:21storage limits because you know people's

16:22cloud instances

16:23are just getting bigger and bigger.

16:25And so that makes a lot of sense.

16:26What I will say though, is that a lot of

16:28Tableau clouds and Tableau servers just

16:30have a lot

16:30of junk on them.

16:31So I think there's a lot of value to be

16:33said here.

16:33How about cleaning up your environment and

16:36getting into a healthy sort of state of

16:38hygiene

16:38to avoid hitting these limits rather than

16:40just buying on more storage and letting the

16:42problem grow?

16:43So that could be another approach to that.

16:45Tableau with MFA authentication

16:47enhancements.

16:48So protect Tableau with multi-factor

16:50authentication, the users from lockouts,

16:53recovery code set

16:54up in is now required when using a single

16:56multi-factor authentication verifier.

16:58Okay.

16:59So new configuration actions and error

17:01messages enable admins to better help users

17:03regain

17:04access.

17:05So essentially Salesforce implemented the

17:07multi-factor authentication mechanism.

17:10Now if you only have one MFA, then you're

17:13required to set up a protection basically

17:17to stop you from getting locked out.

17:18Because if you lose access to the multi-

17:20factor authentication, there is no way to

17:22really

17:22get it back other than probably resetting

17:24the account wholesale.

17:25So to avoid this, they're suggesting people

17:28create two.

17:29So if one doesn't work, you've got another

17:31fallback or having another way of basically

17:33unlocking yourself.

17:34So that's pretty handy.

17:37Generic OpenID connect protocol support for

17:39Tableau Cloud.

17:40Yeah, this is just OpenID support, I think,

17:43for Tableau Cloud.

17:44So use the identity provider of your choice

17:46on Tableau Cloud.

17:47OpenID I think is actually a standard.

17:49I don't think it's one specific thing.

17:51A good example is OpenID would let you, for

17:54example, use Google as an example login or

17:57I think Facebook, I think, also supports

18:00OpenID.

18:00But there are other authentication

18:02mechanisms and they're worth considering.

18:04But OpenID is, I think, a pretty big

18:06standard and you can get a lot of

18:08connectors for it.

18:09So yeah, authentication configuration

18:11enhancements.

18:12So prevent account lockouts with improved

18:14authentication configuration.

18:16Improvements include UI changes, field

18:18level validation, actionable messages, and

18:21improved

18:21inline warnings.

18:22So quite a few changes here.

18:23It feels like part of a big authentication

18:26push for Tableau Cloud.

18:27And this release is not a Tableau server

18:29release.

18:30There will only be one more Tableau server

18:33release this year because of the change

18:36last

18:36year on releases.

18:38So every other release will be a Tableau

18:40server release, which means we won't get a

18:42release

18:42for Tableau server in this release.

18:45The next one will be 24.2 and then we won't

18:48get the next one until 25.1.

18:50So 24.2 will be the next server release and

18:5325.1 will be the one after.

18:56And in 24.2, we should get some of these

18:59cloud features available in the server

19:02release.

19:03So that's how that works.

19:07Identify duplicate rows.

19:08Let's have a look at this.

19:09Oh, now I'm in the wrong place.

19:12Consume native Salesforce Data Cloud

19:14objects to Tableau catalog.

19:15So this is essentially objects inside of...

19:19This is interesting.

19:20So consume native Salesforce Data Cloud

19:22objects in Tableau catalog.

19:24That's a bit of a tongue twister.

19:25I don't think I know what native Salesforce

19:28Data Cloud objects are.

19:29If you know, let me know in the comments,

19:31but let's read this description.

19:32Make better informed decisions using Data

19:35Cloud objects, access to Salesforce Data

19:37Cloud

19:37objects, Data Lake objects, Data Model

19:39objects, calculated insights, and now

19:42distinct entities

19:43native to Tableau catalog.

19:45So I think this is just exposing more of

19:47the guts of Salesforce to the Tableau

19:49catalog

19:50so that in the catalog, you can actually

19:52see these working.

19:54It's not that they weren't available in

19:55Tableau already.

19:56I think people could already use these

19:59inside of their data sources.

20:02But I think specifically here, you're able

20:04to see the actual object as it comes from

20:07Salesforce rather than just seeing a data

20:09source connection or a name there.

20:10So that's pretty handy.

20:13Let's go back to the next one.

20:14Labels in web altering and custom label

20:15management improvements.

20:17So they've added more capabilities to add

20:20labels.

20:21These were released in the previous release

20:22.

20:23I've already made a video about those,

20:25check them out.

20:25But the nice thing here is it's now part of

20:27web authoring.

20:28So that's a pretty sort of nice enhancement

20:30.

20:30It's good to know that.

20:32Identify duplicate rows.

20:33This is in Tableau prep.

20:35Trusted data is clean and accurate with

20:37enhanced Tableau prep functionality to

20:39identify duplicate

20:41records across your data.

20:42With the visual and direct nature of Table

20:44au prep, it is now easy to understand the

20:45reason

20:46behind the duplicate records.

20:48This can fix the identified data issues or

20:50remove all the duplicates based on specific

20:53data prep needs.

20:55Prep just keeps knocking these out.

20:56I know, I think I'm just becoming a prep

20:58fan boy.

20:59If there's any t-shirts for Tableau prep,

21:01send them my way because I just love this

21:03part of Tableau.

21:04I don't know, it's because really I just

21:05enjoy doing data prep and I enjoy doing it

21:07in tools

21:08that make it easy.

21:10But I just think, again, we're getting

21:11features that we've been asking for.

21:13And every time a feature comes out, I just

21:14feel like new doors are opened in Tableau

21:16prep.

21:17I love it.

21:18So I'll stop being a fan of Tableau prep.

21:21Maybe I'll make some merch and it will all

21:22be about Tableau prep.

21:23Let me know in the comments if you'd be

21:26interested.

21:27Splunk JDBC Connectra enhance your

21:29liability to harness, your ability to

21:32harness valuable

21:33insights from your Splunk data experience,

21:35improved integration to Splunk Enterprise

21:37with Tableau's Splunk connector.

21:39So what this is, Splunk is a tool that

21:41essentially is really good at getting logs

21:43from systems.

21:44The idea here is that you can now connect

21:46all of those logs and all of this data to

21:48Tableau so you can visualize it and work

21:50with it easily.

21:51Previously you had to do a lot of, I think,

21:53parsing and scraping to get this to work.

21:55But to have a native connector via JDBC is

21:58quite good.

21:59I never understand what JDBC, I always

22:01forget, sorry.

22:03I know ODBC's open database connection.

22:05I think JDBC might be Java database

22:07connection, but I'm not 100% sure.

22:10So let me know if you know.

22:13Connect header and start row in Tableau

22:15prep.

22:15Oh, that's beautiful.

22:17That's just really good.

22:19Again another nice small feature.

22:20These are just tiny enhancements, but just

22:23bringing Tableau prep closer and closer to

22:25being something that I'd want to start

22:27using right out of the gate instead of

22:29something

22:29like Alteryx.

22:30So yeah, super interesting.

22:33I love it.

22:34This is pretty much as it says on the tin,

22:36you can choose the header and start row.

22:38Now the thing about this is that I'm not

22:40sure it's possible with Excel.

22:41I think it might only be for CSV.

22:43Oh no, users gain control over the Excel

22:45data.

22:46It is possible with Excel, but the example

22:49has a CSV.

22:50So I think what had happened previously is

22:52that it was possible in CSVs, but it wasn't

22:54possible in Excel and this is the Excel

22:56enhancement.

22:57So the screenshot here though is a CSV,

22:59which is why I was slightly confused.

23:02But anyway, nonetheless, pretty good,

23:05pretty good.

23:05Virtual connection support using Google

23:07service accounts.

23:08This is probably one of those enterprise

23:09things where if you're using a Google

23:10service account,

23:11your virtual connections were pretty

23:13annoying.

23:14Now they're supported.

23:15You can just go ahead and do that.

23:16So that's nice.

23:17This navigation text and visual navigation

23:19for text table.

23:20That's interesting.

23:21Navigate text tables seamlessly using only

23:23a keyboard.

23:24Okay.

23:25Accessibility feature.

23:26There's navigation for text tables enables

23:28customers using assistive technology to

23:29navigate

23:30through headers, access and visualization

23:32pane in all the ways they would be able to

23:34using a mouse.

23:35This is a great feature.

23:37I'm going to be doing a video on

23:38accessibility very soon with a chap called

23:40Ron in the community.

23:42He's a great ambassador on this and knows a

23:44lot more about accessibility than I do.

23:47And we've been working a little bit with

23:48Tableau to sort of understand some of these

23:50capabilities.

23:50So I'm looking forward to doing that video.

23:52Check out that soon when it drops.

23:55Visual segment creation to Salesforce Data

23:58Cloud.

23:58So create segments in Data Cloud directly

24:00from your visual data exploration within

24:03Tableau.

24:05Visual segment creation Salesforce Data

24:07Cloud provides you with a streamlined way

24:08to explore

24:09the data from your data model objects, DMOs

24:12, identify candidate audience segments and

24:14push

24:14these audience segments directly in Data

24:17Cloud from your web altering session.

24:19Okay.

24:20So we're thinking about web edit.

24:21We're pushing things to Data Cloud and it's

24:23just a little bit more integration between

24:25Salesforce and Tableau itself.

24:29Dynamic parameters in table extensions.

24:31Oh, that's very nice.

24:33Table extensions are quite powerful.

24:35Dynamic parameters in table extensions.

24:37Oh, unlock live data.

24:41Table extensions unlock live data, enhance

24:42security and transform analytics through

24:44automatic

24:44retrieval based on user parameters.

24:47Seamlessly connect Tableau dashboards to

24:49external services, parsing parameters

24:51securely to unlock

24:52the full potential of your data.

24:54So what that is is a huge change.

24:57I mean, this is one of those things where

24:59it's hard to know what it is, but let me

25:00explain.

25:01Table extensions allow you to call third

25:04party services, sometimes an API using

25:07Python or

25:07R. And in doing so, what essentially you

25:10can do is you can parse it dynamic

25:12parameters.

25:13So what this is, is potentially the

25:15capability of having a visualization, parse

25:18a parameter

25:19action to a parameter, which in turn then

25:23changes the table extension query that runs

25:27on the data, which then changes what's

25:29going on.

25:30So that actually makes dashboards that are

25:33calling APIs a little bit more sort of

25:36living

25:36and live because you can actually be

25:38running these things in the background,

25:40doing really

25:41powerful automations nicely.

25:43So I think that's pretty cool.

25:46Email customization.

25:47Oh, wow.

25:48You can actually use your own SMTP server

25:50rather than the Tableau email server.

25:53That's incredible.

25:54I mean, some big companies will love that.

25:55I'm assuming this is for Tableau cloud,

25:56right?

25:57So subscription and alert emails.

25:59Of course it has.

26:00There's no server release.

26:01This has to be Tableau cloud.

26:02And that's actually always worth noting if

26:04I'm reading this and you're thinking of a

26:05Tableau server, no, there's no server

26:07release.

26:08So this has to be Tableau cloud.

26:10Subscription and alert emails along with

26:12the included URL and it can now be

26:13configured

26:14to be sent from your company email domain.

26:16That's huge for some companies because they

26:18really want to be in control of everything

26:20and getting that email from Tableau.

26:22Sometimes it goes into the spam filter,

26:24especially in very sort of secure setups.

26:25So yeah, being able to customize that huge

26:29one.

26:29Steam embedded API via NPM node package

26:32manager.

26:33So the embedded API is now available as a

26:36node package in the API v3.

26:39I think that's previously available.

26:41I don't know if I'd seen that before and it

26:43's just come out again.

26:44But anyway, SCIM compatibility with grant

26:47license on sign in.

26:49So sign Tableau cloud license on an as

26:51needed basis.

26:53Okay, that's quite cool.

26:55SCIM is now compatible with grant license

26:58on sign in, GLSI for Azure AD and Okta IDP.

27:02So those are two authentication identity

27:04sort of systems that now support this.

27:06I don't know what SCIM means.

27:08So assign classes on as needed basis.

27:13SCIM compatibility with grant license.

27:16I have no clue.

27:18I'll find out and I'll let you know in the

27:20comments that's beating me already.

27:22It's idle time session out so enjoy great

27:24Tableau cloud performance.

27:26We've lowered the idle session timeout for

27:28vis ql sessions from 200 minutes to 30

27:30minutes

27:30to boost scalability.

27:32Okay.

27:33So that's not sold like a feature, but it's

27:38more of a change, right?

27:40Enjoy greater Tableau cloud performance.

27:43We've lowered the idle session timeout for

27:45vis ql.

27:46So basically what they're saying is vis ql

27:48will be faster because we've lowered

27:49everyone's

27:50idle time so that they're not hanging

27:52around for 200 minutes.

27:54It's only going to be keeping sessions live

27:56for 30 minutes.

27:57Could get annoying if you step away from

27:58your screen, go to a meeting, come back and

28:00you

28:00have to do the whole rigmarole of getting

28:02everything loaded up again.

28:03I think 200 minutes wasn't bad.

28:06So yeah, let's find out.

28:07Let's find out if people complain about

28:09that.

28:09Extract settings, UI enhancement.

28:12So managing parental refreshes in an

28:14improved extract setting UI, then new

28:17settings layout

28:18makes discovery navigation easier.

28:20Enhanced dialogue gives admins better

28:22visibility and deeper insights.

28:24So let's have a look at this little demo.

28:27So you can click edit and oh yeah, there's

28:29a little bit more of an interface on the

28:31extract

28:31interface.

28:32I think this is also going to apply for

28:34desktop.

28:34So you can see this looks like a desktop

28:40view.

28:41It's not blue across the top.

28:42So it looks like a desktop view, but they

28:44've changed that extract interface because

28:46they're

28:47probably bringing Tableau desktop to the

28:48web a bit more than they have done.

28:50So yeah, this is a nice small change.

28:52And the very last one is view acceleration

28:54rest API, manage view acceleration where

28:56the

28:57rest API call.

28:59Now you can turn view acceleration on and

29:01off, set data refreshness policies and get

29:03acceleration status updates with the API.

29:06So this is handy because you can

29:07essentially run some sort of script or

29:09logic to say, hey,

29:11which visualizations are getting absolutely

29:13hammered.

29:13And then you could use this API to go and

29:16selectively turn this feature on on behalf

29:18of them so that the people who are using a

29:20dashboard the most often are getting the

29:22best

29:22experience and that in turn can actually

29:24make your platform run better because view

29:26acceleration

29:27is kind of pre-clicking up the data sources

29:28.

29:29So as many people hit the cache rather than

29:31loading the data raw from the database

29:33every

29:34time.

29:35So there we have it, 30 minutes, we've gone

29:36through all of 24.1.

29:38As soon as this launches, this is just a

29:40Tableau pulse release really.

29:42So we'll get onto that.

29:44And if you haven't noticed, I've just not

29:46had time to make videos recently.

29:47So I am so behind, I've still not finished

29:5123.3 videos.

29:53It's actually crazy.

29:54I'm working through 24.1 sort of content.

29:58It's going to be mostly about Tableau pulse

30:00.

30:00I'd kind of imagined that 24.1 was going to

30:02have something about Tableau pulse after

30:04sort

30:04of a few hints from Tableau themselves.

30:09So yeah, 24.1 will be a pulse release.

30:12I'll try as much as possible to not just

30:14talk about Tableau pulse because I

30:16appreciate not

30:17everyone has it.

30:18And a lot of people in my audience probably

30:19will never use Tableau pulse out of the

30:21gate

30:21because they might not have Tableau cloud.

30:23So that's something to be aware of.

30:25Also, fun fact, we're super close to 100,

30:28000 subscribers.

30:29If you want to help me out, hit the

30:31subscribe button and I'll catch you in the

30:33next video.

30:34Thanks for watching.

30:35We'll see you soon.

30:35Bye.

30:44[ Silence ]