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Last week I presented on three separate occasions during what is considered the biggest Microsoft Data Platform conference of the year, the PASS Summit: Full-day pre-conference session Speaker Idol panel discussion 75-minute general session On account of the COVID-19 global pandemic going on right now the conference went virtual, which meant a lot of new-> Continue reading Setting yourself up for online streaming success, PASS Virtual Summit style The post Setting yourself up for online streaming success, PASS Virtual Summit style appeared first on Born SQL. The post Setting yourself up for online streaming success, PASS Virtual Summit style appeared first on SQLServerCentral.

I started to add a daily coping tip to the SQLServerCentral newsletter and to the Community Circle, which is helping me deal with the issues in the world. I’m adding my responses for each day here. Today’s tip is to be curious. Learn about a new topic or an inspiring idea. I try to learn often. Awhile ago, my daughter had some exposure to welding and wanted to take a class. We looked around and found one at a local shop. We booked it, and a few days ago, we went and spent a few hours welding. A neat experience, I learned a lot, and I think we’ll invest in one soon. I also learned I’m not very good at this and need a lot of practice. The post Daily Coping 18 Nov 2020 appeared first on SQLServerCentral.

We’re back! The first EightKB back in July was a real blast. Five expert speakers delivered mind-melting content to over 1000 attendees! We were honestly blown away by how successful the first event was and we had so much fun putting it on, we thought we’d do it again The next EightKB is going to be on January 27th 2021 and the schedule has just been announced! Once again we have five top-notch speakers delivering the highest quality sessions you can get! Expect a deep dive into the subject matter and demos, demos, demos! Registration is open and it’s completely free! You can sign up for the next EightKB here We also run a monthly podcast called Mixed Extents where experts from the industry join us to talk about different topics related to SQL Server. They’re all on YouTube or you can listen to the podcasts wherever you get your podcasts! EightKB and Mixed Extents are 100% community driven with no sponsors…so, we’ve launched our own Mixed Extents t-shirts! Any money generated from these t-shirts will be put straight back into the events. EightKB was setup by Anthony Nocentino (b|t), Mark Wilkinson (b|t), and myself as we wanted to put on an event that delved into the internals of SQL Server and we’re having great fun doing just that Hope to see you there! The post EightKB is back! appeared first on SQLServerCentral.

Quick video showing you how to failover your Azure SQL Database between your primary and secondary location. The post [Video] Azure SQL Database – Failing Over (Failover Groups) appeared first on SQLServerCentral.

Whether you caught a single session, took a pre-con, or filled your schedule last week with multiple sessions, l’m going to review last week’s PASS Virtual Summit 2020 conference! The week of November 9th to 13th held the annual PASS Summit conference this year. Normally it’s held in Seattle WA, but this year due to COVID-19 it was held this year online on a virtual conference platform. I’m very thankful that they decided to continue with the conference instead of canceling it like so many other events have done this past year. It was certainly different than previous years, but certainly good to continue the conference in whatever venue this year would allow. I was quite fortunate to have presented a pre-conference all day boot camp called Amplify your Virtual SQL Server Performance on Monday November 9th. We spent the entire day with performance and availability topics for virtual enterprise SQL Servers, and I’m really thrilled with the response from the attendees and their line of questions. If any of you who took my precon and have any follow up questions in the future, please don’t hesitate to reach out and let me know. Next, my general session was called 10 Cloudy Questions to Ask Before Migrating Your SQL Servers. The session was the first session as part of the Modernizing with SQL Server Learning Pathway series. Before you can modernize and advance your SQL Server data platform, especially if you’re looking at the cloud, I presented my most important questions that you should have answers to before you embark on your modernization journey. As before, if anybody who attended or watched this after the fact have any follow-up questions, please reach out and let me know and I’ll be happy to answer them. I spent the rest of the week watching in on other people’s sessions and learning as much as I could. I absolutely loved the variety of the sessions and how distributed they were amongst multiple time zones. Given that this is now a global event because of the online nature, it’s great to see the accommodations for people that are not located in North America. If you have not already done so, please fill out your session evaluations. As the speaker, I’m always interested in what worked well and what could have been presented better. Feel free to be critical, but make sure to be constructive at the same time period if you think I was terrible, tell me, but tell me what I can do better or what specifically you didn’t like. All of the speakers do this because we want to become better speakers over time. Any improvements that you can suggest we’re going to take seriously. As a side note, they do have prizes that you can win for filling out your evaluations. Please make sure to do so by Friday November 20th at 5:00 PM eastern Standard Time to be eligible to win the prizes. Overall, the conference exceeded my expectations. I knew with the change of delivery mechanism, it was bound to be different. The in-person nature of these events really adds to the feel and the impact of the conference, as it’s not just the technical sessions that I’m there for. Having that networking time to meet up with longtime friends and make new ones is critical for this community. I had no technical glitches or issues with any of the tools that I was given to do the presentations. The video-based community zone was also a very nice touch so I could see people face to face. Yeah, not being there in person wasn’t the most fun, but the social aspect was still appreciated with the Welcome reception and Birds of a Feather groups. I think the toughest part about attending any conference this year is that work always tends to get in the way of conference activities. When you’re there in person, it’s difficult for people to reach you, so you can focus on the conference. When your remote, work tasks and emergencies always seem to creep up, and it’s difficult to stay focused for an entire day. Thankfully, complimentary streaming for one year is available for all regular sessions at the conference, so I’ll be able to watch the few sessions that I wanted to see but missed at some point over the next 12 months. Like any other conference, there’s always things that could have been done better in hindsight. I’ve got a short list of things that I’ll be sending over to PASS for review. It’s all things that can help the experience. If the event needs to be virtual next year, these are things that I’d like to see to improve the community aspect, such as having the community zone hangout space available all of the hours of the conference each day instead of select blocks of hours. If you have any constructive suggestions for improvement, send them over as part of the event evaluation because I know they are going to review these carefully. I also appreciate the candor that the board presented during the open Q&A sessions with the PASS board. This year’s been quite challenging, and it was comforting to see the openness at which they described the challenges of the year and what they intend to do about them. The amount of pain that accompanies changing a big event from physical to online is really tough, Especially for things like venue and hotel contracts. I applaud their efforts in making these changes as transparent and painless as possible for the speakers, the sponsors, and the attendees. I’d just like to thank all of the PASS board and PASS HQ for all of their hard work to make this event happen. I know it’s been an incredibly challenging year for all of us, especially when this is the primary revenue stream for PASS. I feel the value in the conference, and understand that they still needed to charge something for it while other conferences were going free for the year. I’m glad so many people attended, and I’m looking forward to seeing the evolution of PASS and this conference for 2021. Thank you all for making it to the conference and to take the time to watch this wrap up discussion. If you attended any my sessions or watch them after the fact, thank you very much! Feel free to reach out if anybody has any follow up questions or thoughts, and I’d love to know your opinion on the conference. Everyone stay safe, and hopefully we’ll all be back in person this time next year! The post Virtual PASS Summit 2020 Wrap Up first appeared on Convergence of Data, Cloud, and Infrastructure. The post Virtual PASS Summit 2020 Wrap Up appeared first on SQLServerCentral.

Where Filtering I explored a bit on filtering objects with Go for the AWS SDK v1. Coming from PowerShell, I’m used to a lot of one-liners that do a lot of magic behind the scenes, so Go is both refreshing in it’s clarity, and a bit verbose at times since the language features are more sparse. In PowerShell, you can filter results with a variety of methods, including examples like below (but not limited to) $collection.Where{$_.Value -eq 'foo'} $collection | Where-Object {$_.Value -eq 'foo'} $collection | Where-Object Value -eq 'foo' When exploring the an unmarshalled result in Go, I found it a bit verbose compared to what I was used to, and wondered if there are no “Where” clause helper libraries that cut down on this verbosity, and also still considered idiomatic (Go’s favorite word ??). Scenario Let’s get all the EC2 Image results for a region and match these with all the EC2 instances running. Filter down the results of this to only the ami matching what the EC2 instance is using. In PowerShell this might look like $AmiId = $Images.Where{$_.ImageId -eq $Search}.ImageId. As a newer gopher, this is what I ended up doing,and wondering at my solution. This is without sorting optimization. amiCreateDate, ImageName, err := GetMatchingImage(resp.Images, inst.ImageId) if err != nil { log.Err(err).Msg("failure to find ami") } Then I created a search function to iterate through the images for a match. Yes, there was a lot of logging as I worked through this. // GetMatchingImage will search the ami results for a matching id func GetMatchingImage(imgs []*ec2.Image, search *string) (parsedTime time.Time, imageName string, err error) { layout := time.RFC3339 //"2006-01-02T15:04:05.000Z" log.Debug().Msgf("searching for: %s", *search) // Look up the matching image for _, i := range imgs { log.Trace().Msgf("t %s <--> %s", *i.ImageId, *search) if strings.ToLower(*i.ImageId) == strings.ToLower(*search) { log.Trace().Msgf("t %s == %s", *i.ImageId, *search) p, err := time.Parse(layout, *i.CreationDate) if err != nil { log.Err(err).Msg("failed to parse date from image i.CreationDate") } log.Debug().Str("i.CreationDate", *i.CreationDate).Str("parsedTime", p.String()).Msg("ami-create-date result") return p, *i.Name, nil // break } } return parsedTime, "", errors.New("no matching ami found") } I was impressed with the performance without any optimization of the api calls, and could see that with a proper approach to sorting the image ids I could improve the performance further. However, the verbosity of doing some filtering to find and return the object was surprising, so I wrote this up to get feedback from other gophers and see what other idiomatic approaches are a solid way to filter down matching properties from result set. Is there any library used by many to do this type of filtering, or is my .NET background coloring my perspective with dreams of Linq? #development #golang #tech The post Filtering Results in Go appeared first on SQLServerCentral.

Andy Cotgreave Technical Evangelist Director Tanna Solberg November 17, 2020 - 9:04pm November 18, 2020 Editor’s note: A version of this blog post originally appeared in Nightingale, a publication by the Data Visualization Society. How was US general election night for you? For me, it was underwhelming.  That emotion had nothing to do with the political story, but everything to do with the data storytelling of US TV networks. My goal on election night was to enjoy and comment on the way they told data stories, which you can find on Twitter under #ElectionViz. I came away disappointed. The gulf between the charts we find on news websites and US TV networks is enormous. News websites offer sophisticated experiences, whereas the networks offer—well, not much more than screens dominated by geographical shapes of counties in the US. There is not a great deal of difference between this year’s screens and those from 1968. Let’s take CNN as an example. John King, like all anchors on most networks, are amazing commentators. Their knowledge of the US political landscape and their ability to narrate events are hugely impressive. Unfortunately, their words were not supported by visuals that would have made it easier for an audience to follow along. Orange County, Florida map as seen on CNN at 8pm EDT on November 3, 2020. Almost without fail, when an anchor zooms into a county map, they make three data-driven observations: What is the current split between candidates? How many votes have been counted? How is this different from 2016? Also, once the narrator has zoomed into a county, the shape or location of the county is no longer a primary piece of information to focus on. Given that, how easy is it to answer the three questions the narrator needs to answer? It’s not at all easy.  What if we changed the display to focus on the three questions? It could look something like this: A reimagined screen for CNN.The geography is now just a small thumbnail, alongside a vote count progress bar. The candidate’s vote numbers, instead of a text box, are shown as bars. A slope chart on the right shows the swing from 2016.  These are not complex charts: bars and slopes use the most basic building blocks of data visualization, and yet, in an instant, we can see the information the narrator is describing. All the major networks I followed used the same template: map-driven graphics with little thought to the little things that could have greatly enhanced the stories being told. Steve Kornacki on MSNBC did take full advantage of the sports-style telestration board with extensive use of hand-drawn numbers and circles. These enhanced the visual power of his explanations. Steve Kornacki on MSNBC using annotations to enhance his story.Beyond the maps, I was surprised at how few visualizations the networks created. There was the occasional line chart, including a nice one from NBC. It was well laid out, with clear labeling and an identifiable data source. My only quibble was the positioning of the party annotations. It’s always nice if you can put the category label at the end of the line itself. In any TV coverage, it’s only a matter of time before you see a pie chart of some sort. The first I saw was also on NBC. Take a look at this, and try and decode the pie chart. Pay attention to how many times your eye moves across the chart as you do so: Let me guess, your eyes went on a chaotic path across the chart from legend to segment, to numbers, to legend, and so on. How about if we showed this as a bar chart instead? How long does it take to parse the information now? Which is easier and faster to read? The donut or the bars?As I watched the live feeds of the news websites though the night, it was clear that traditional print media are streets ahead in terms of data storytelling. It’s not because their browser-based graphical displays are complex, or that they appeal to data geeks like me. It’s because they consider the questions audiences have and focus the display on delivering answers as quickly as possible. What seems to be missing is the fundamental goal any data storyteller needs to ask: What are the key questions I need to answer? How can I present the information so that those questions can be answered as easily as possible? On reflection, I was surprised by the information design conservatism in the US TV Networks. Comparing today’s coverage to coverage in 1968, other than the addition of color, the displays are still tables of numbers and the odd map. I did #ElectionViz for the UK General Election in December 2019, and the visualization maturity of Sky News and BBC were far further ahead than that of the US networks. As the dust settles and we move towards 2024, I would love to see a little more visual sophistication to support the amazing anchors.   Ok Twitter! It's 3.30am in the UK and I don't think there are any more new charts the media have up their sleeves. So I'm calling it a night for #ElectionViz. Thank you for following, it's been quite the exprience. For now: a whisky to toast you all: pic.twitter.com/4QjZnkHglu — Andy Cotgreave (@acotgreave) November 4, 2020

Shweta Jindal Product Manager Jim Cox Staff Product Manager Tanna Solberg November 17, 2020 - 5:21pm November 17, 2020 Having access to your data while on the go is important for making decisions at the speed of business. But as a Mobile user, you may not always be able to connect to Tableau Server or Tableau Online—perhaps you’re on a plane or visiting a customer site where a network connection may be unavailable. Fortunately, Tableau Mobile provides offline access to all the interactive dashboards and views that you save as a Favorite. These downloaded vizzes are called Previews.    Today, we’re excited to announce that we’re introducing a change in the way that Tableau Mobile shows these previews to create a more seamless and intuitive experience—both when the device is connected and when it’s not.  When the device is connected to the server Current connected experience Up until now, when you launch a favorite view, the preview loads quickly with limited interactivity, and displays a ‘Go Live’ button.  Tapping ‘Go Live’ initiates a server request, and you’ll see a spinner while the view is calculated. You will be switched to the view once it is rendered. We thought this flow would work well for the majority of cases. The preview loads quickly and with sufficient interactivity—you can clearly see the data (pan, zoom, and scroll), tap any mark to see a tooltip, and see highlighted actions when a mark is tapped. Only when you attempt to change a filter value does the app warn that a server connection is required, and instructs you to tap ‘Go Live’. However, in the real world, we have observed that the majority of people tap ‘Go Live’ immediately. If the server is connected, they just want to see the latest version of the interactive dashboard. New and improved connected experience We want to reduce friction in your workflow so you can use the previews in a more helpful way. Now, when you tap on a view from Favorites, we show the preview immediately. We also make the server request for the latest view and load it in the background. There is no ‘Go Live’ button—instead, a banner message lets you know that the latest view is loading. If you haven’t interacted with the preview, the app transitions seamlessly to the latest view when it has loaded, and the banner disappears. With this flow, you see the preview immediately, while the latest view loads in the background—all without experiencing a spinner. Once the latest view is available and you haven’t interacted with the preview, you will be switched to it automatically.   If the latest view is taking a few seconds to load, you can opt to interact with the preview by scrolling or tapping. When this happens, we don’t automatically transition to the latest view—we don’t want to disrupt your flow. Instead, we added a button to the banner. The latest view, that has already loaded in the background, is surfaced when you tap ‘See Latest View’. When the device is not connected to the server Current offline experience Up until now, when you launch a view, the preview loads with limited interactivity. The Go Live button is presented as an option—even if the device is disconnected and can’t go live. When you tap the Go Live button, Tableau Mobile attempts to contact the server but fails and displays an error message. In this case, you benefit from having the preview available immediately, even when offline. But you may not know that the device is disconnected—so tapping ‘Go Live’ and getting an error message is not the greatest experience. New and improved offline experience Now, if you’re not connected, the banner reports that the app cannot load the latest view and offers you a button to see the reason. Tapping ‘See Error Details’ shows an error page explaining there is no server connection. In this case, you can continue to see and interact with the preview, but without a potentially confusing ‘Go Live’ button on the screen. Summary With these new flows, you’ll transition seamlessly to the latest view when connected—without having to ever see a spinner or tap a button. Plus, you can interact with the dashboard while the latest view is loading. And when you’re offline, the new flow shows the available preview without a confusing Go Live button. We hope these changes make using Tableau Mobile a faster and more pleasant experience for all. Download the latest version of the Tableau Mobile App to enjoy this new experience—available on both Apple Store and Google Play. If you have any questions or feedback, please reach out at sjindal@tableau.com.

Let’s take a look at how to display Always Encrypted Data in SSRS with a gMSA (Group Managed Service Account). We are mixing some technologies […] The post Always Encrypted Data Displayed in SSRS with a gMSA appeared first on Ryan Adams Blog. The post Always Encrypted Data Displayed in SSRS with a gMSA appeared first on SQLServerCentral.

I started to add a daily coping tip to the SQLServerCentral newsletter and to the Community Circle, which is helping me deal with the issues in the world. I’m adding my responses for each day here. Today’s tip is to change your speech. When you feel like you can’t do something, add the word “yet”. A number of things I used to do are out of reach for now. In talking with some friends from down under last week at the PASS Virtual Summit, I joked about coming down if they could get me into the country. Australia and New Zealand are locked up against Americans, and for good reason. We don’t seem to be able to control this virus. I was sad, but I should have added a “yet” to the end. I did manage to remember this with my wife. Colorado has restricted gatherings and I had to inform my team that we can’t practice together for now. My wife lamented us competing in upcoming tournaments, saying that we can’t really play. I reminded her this is a “yet.” We’ll find a way to do this again. The post Daily Coping 17 Nov 2020 appeared first on SQLServerCentral.

It’s been a while since I worked with compression and the other day I needed to check which of my indexes were compressed and which weren’t. Now, I knew the information wasn’t going to be in sys.tables and I couldn’t find it in sys.indexes or INDEXPROPERTY(). I’ll be honest it had me stumped for a little bit. Until I remembered something! Compression isn’t done at the table or even the index level. It’s done at the partition level. Something important to remember is that every table has at least one entry in sys.indexes, although in the case of a heap it’s just the unindexed table. So in a way you could say that every table has an index. Well every index has at least one partition. If you haven’t deliberately partitioned the index it’s just the whole index. Why would you want to compress just certain partitions? Well, remember that one reason for partitioning is to separate out older, less used, data from newer, more frequently accessed data. You might decide to use page compression, the strongest but slowest compression, on your oldest data to conserve space on data you aren’t going to have to de-compress very often. You might then have a group of data that you access a bit more often where you use row compression, which saves some space and takes a bit less CPU to undo. And on your current/more frequently accessed data you don’t compress the data at all. Anyway, back on point. The system view sys.partitions has the information we are looking for. This query has the table and index names along with the partition information. SELECT o.name, i.name, p.* FROM sys.partitions p JOIN sys.indexes i ON i.object_id = p.object_id AND i.index_id = p.index_id JOIN sys.objects o ON i.object_id = o.object_id The post How do I tell what compression level my tables/indexes are? appeared first on SQLServerCentral.

Emily Chen Product Marketing Specialist, Tableau Spencer Czapiewski November 17, 2020 - 12:48am December 15, 2020 The newest release of Tableau is here! Tableau 2020.4 brings practical enhancements to make analytics in your organization more seamless and scalable. Upgrade to take advantage of these new innovations and check out our playlist of Tableau Conference-ish highlights to hear more about what we’ve got coming next year.  Let’s recap some of the exciting features in the Tableau 2020.4 release: Prep your data all in one integrated platform on the web with Tableau Prep Builder in the browser. Enjoy multiple enhancements to bring your geospatial analysis to the next level, including multiple marks layers support for maps, Redshift spatial support, and more. Explore next-level analysis with two new predictive functions models. Proactively monitor and troubleshoot server health with the Resource Monitoring Tool, now available for Linux deployments. Now we’ll take a deeper look at some of the biggest new features in this release. Prep your data wherever you have access to a browser During Tableau Conference-ish we were thrilled to announce that the full functionality of Tableau Prep Builder was coming to the browser—and now it’s here in Tableau 2020.4! With more people needing access to data than ever before, Tableau Prep empowers everyone in an organization to easily prepare their data, now all in one convenient and integrated platform on the web. For analysts, you can now create and edit data prep flows all within web authoring—all you need is access to a browser. Say goodbye to context switching between the desktop to create your flows, and then Server or Online to publish and share them. For IT folks, this means that Prep Builder can now be centrally managed on your server, simplifying deployment, license management, and version control. Without the need to manage individual desktops, IT admins can now upgrade their server to get everyone in the organization on the latest version in one go. And since data prep flows are stored on the server, IT teams get more visibility into what is being created, and can better manage data sources and standardize on repetitive flows. Scaling up Tableau Prep in your organization as your needs grow is now easier than ever. IT admins can enable web authoring for Prep in the server or site settings. Once enabled, users will be able to create a new flow from the Start page, Explore page, or Data Source page by clicking on the “New” button and selecting “Flow” from the dropdown. We can’t wait for you all to start preparing your data in a way that fits your workflow. Unlock next-level web analytics with significant web authoring enhancements To continue our journey to the web, we are also happy to announce multiple enhancements to our web authoring experience, many of which we know will help unlock analytics in your business. Starting in 2020.4, extract creation, highlight actions, filters, fixed sets, and a Salesforce connector are all available in web authoring. Stay tuned for more details in a future blog post. Less is more? Not this time—level up your geospatial analysis with multiple marks layers support for maps, and more You asked, and asked some more, and today we are excited to release a fan-favorite feature that we announced at TC-ish—multiple marks layers support for maps is here! You can now add unlimited marks layers from a single data source to your map visualizations. We know that two sets of marks via a dual axis wasn’t always enough to bring together and analyze all of your location data. With this feature, bringing multiple spatial layers and contexts together for analysis in Tableau is not just possible, but simple—and with unlimited layers, the sky’s the limit. Adding multiple layers of marks is easy. Once you’ve created a map, simply drag a geographic field onto the “Add a Marks Layer” drop target that appears in the upper left corner of the map canvas—and that’s it! In the example below, you can see that we can now visualize DC Police Sectors, Police Department buffers, and 311 calls, all in one layered map view. But that’s not all. This release also brings a collection of significant spatial improvements. We’re expanding Tableau’s spatial database connections to make solving location-based questions easier than ever. You can now connect directly to tables in Redshift that contain spatial data, and instantly visualize that data in Tableau. We’re also introducing offline maps support for Tableau Server, ensuring that maps remain accessible to all users—especially helpful in organizations with strict internet access requirements. And finally, spatial support for Tableau Prep has arrived! Prep Builder can now import, recognize, and export spatial data to extracts and published data sources. Power up your predictions with new predictive modeling enhancements We introduced predictive modeling functions in 2020.3, and we’re continuing to build on this functionality to ensure that you have the power, simplicity, and flexibility you need to apply these functions to a wide variety of use cases. With Tableau 2020.4, you can now select from two additional models in predictive modeling functions—regularized linear regression and Gaussian process regression—in addition to the default model of linear regression. You’ll also be able to extend your date range, and therefore your predictions, with just a few clicks using a simple menu. In the example below, we want to see what kind of sales numbers we can expect in the following months. Setting this up is as simple as clicking the Date pill, selecting “Show Future Values,” and using the menu options to set how far into the future you want to generate predictions. Resource Monitoring Tool for Tableau Server arrives on Linux Lastly, we are happy to announce that the Tableau Resource Monitoring Tool, previously available for Windows only, is now available on Linux deployments as part of Tableau Server Management. Proactively monitor and troubleshoot server health with improved visibility into your hardware and software performance to get the most out of your deployment. Thank you, Tableau Community! You are at the heart of everything we do and the Tableau 2020.4 release is no different. We can’t do this without you, so thank you for your continued feedback and inspiration. Check out the Ideas forum to see all of the features that have been incorporated as a result of your brilliant ideas, and get the newest version of Tableau today.

Have you ever cringed when you received your monthly cloud bill? Does it feel like you’re overpaying for your cloud services, but don’t know how to reduce your monthly cloud spend? In this video, I am revealing the secret to save on cloud costs that vendors won’t tell you. This is a must watch for every CXO that wants to incorporate cloud and save money at the same time. The post The Secret to Saving on Cloud Costs first appeared on Convergence of Data, Cloud, and Infrastructure. The post The Secret to Saving on Cloud Costs appeared first on SQLServerCentral.

If you’re attempting to implement automation in and around your deployments, you’re going to find there is quite a steep learning curve for DevOps and DevOps-style implementations. Since adopting a DevOps-style release cycle does, at least in theory, speed your ability to deliver better code safely, why would it be hard? Why is there a […] The post The Learning Curve for DevOps appeared first on Grant Fritchey. The post The Learning Curve for DevOps appeared first on SQLServerCentral.

I started to add a daily coping tip to the SQLServerCentral newsletter and to the Community Circle, which is helping me deal with the issues in the world. I’m adding my responses for each day here. Today’s tip is to find out something new about someone you care about. I asked someone recently how they were doing during this tough time. They told me that they hadn’t been able to visit a parent in a retirement facility and only were able to video call with Skype. This surprised me, as the person was younger than I was, and I had assumed their parents would not be in that level of care. Shows what I get for assuming. I felt bad, and know what this is like, though my mother is far enough away that I can’t visit her often. I was supposed to go last month, but illness made me cancel. However, this person has their parent just a few miles away. Heartbreaking. The post Daily Coping 16 Nov 2020 appeared first on SQLServerCentral.