DataDrive’s Post

Stop dealing with incorrect data sources in Tableau. Master the three key methods of managing data in Tableau to work more efficiently. 📊 By understanding: ➟ Live Connection, ➟ Extract, ➟ and Published Extract, —so you can focus on your analysis. Let me break it down. — Live Connection: Ideal for instant access to your data. Examples: • Connecting directly to a SQL database. • Accessing an Excel file to reflect changes immediately. • Running real-time queries for dynamic data. Tips: • Use for quick work with small, local files. • Avoid large databases to prevent slow performance. — Extract: Cached and Efficient It is best for working offline or with static data. Examples: • Extracting data from an Excel file to your computer. • Loading a specific dataset for faster queries. • Using a subset of data for a focused analysis. Tips: • Extract only necessary data to save space and time. • Remember to hit 'refresh' if the source data changes. — Published Extract: Shared and Scalable Perfect for collaborative projects and reusable data. Examples: • Publishing an extract to Tableau Cloud for team access. • Reusing an extract across multiple Tableau workbooks. • Managing a central dataset for consistent analysis. Tips: • Use for data that multiple team members access. • Ensure extracts are updated regularly to maintain accuracy. — 📌 Which method do you use the most? ♻️ Share this post to help your network. https://lnkd.in/gJC_MqJy

😐 Feeling daunted by Tableau? Let's break it down for you! Here's everything you need to understand: 1)Introduction to Tableau: Definition Purpose Components (Tableau Desktop, Tableau Server, Tableau Online) 2)Basic Tableau Concepts: Connecting to data sources Building worksheets Creating dashboards Using filters and parameters 3)Data Types in Tableau: Text Numeric Date/Time Geographic 4)Tableau Calculation Language (TCL): Syntax and structure Calculation types (calculated fields, table calculations, LOD expressions) Advanced functions and techniques 5)Data Visualization: Best practices for visual design Chart types and when to use them Interactivity and dashboard actions 6)Advanced Tableau Features: Mapping and spatial analysis Data blending and joining Forecasting and trend analysis 7)Tableau Server Administration: Publishing workbooks and data sources User management and permissions Performance monitoring and optimization 8)Data Connectivity: Connecting to various data sources (SQL databases, Excel, web data connectors) Live vs. Extract data connections Data preparation and cleaning techniques 9)Tableau Extensions: Custom visuals and extensions marketplace Integration with R and Python for advanced analytics 10)Tableau Prep Builder: Data preparation and cleaning workflows Combining and reshaping data sources Automating data preparation tasks 11)Tableau Mobile: Designing for mobile devices Interactivity and performance considerations Deployment and management of mobile dashboards 12)Tableau Public and Community: Sharing visualizations on Tableau Public Participating in the Tableau Community forums and user groups Learning from community-created resources and examples 📚 Resources to Learn Tableau: Tutorials: Tableau Training Videos (official resource): https://lnkd.in/grtgm6fh YouTube Channels 🎥 : Tableau Software: https://lnkd.in/gFgRfY9U Books 📖 : "Tableau Your Data!" by Dan Murray and Christian Chabot "Learning Tableau" by Joshua N. Milligan Practice 🏋♂️ : Tableau Public Gallery: https://lnkd.in/g2uJFixE Makeover Monday datasets: https://lnkd.in/gnF2hZgK Now, embark on your journey into the realm of Tableau with confidence! 💪✨ #tableau #tableaudeveloper #tableautraining #tableaudesktop

🥁 🥁 🥁 Wanted to give a huge shoutout for Tableau for announcing/releasing all the amazing features in the release of 2024.3. Its extremely difficult just to pick one and say that is my most favorite of this release. All the features are my favorite and the following is just order of features and definitely not my ranking 🤣 1. Tableau Cloud Manager: More power to the Cloud Admins (new role) and whether you want to create a site in US/UK/Canada -> its your choice and seamless transition between the sites!! 2. Tableau Table Viz Extension: Lots of scenarios where everyone wanted to see a Table of Data and wanted more formatting options. Here you go!! 3. Spatial parameters: This is like next level for maps in Tableau. Refer to the blog for full details. 4. Multiple External Identity Providers on a site: You can now enable upto 20 identity providers on a single cloud site!! 5. Tableau App for Microsoft Teams : Tableau Pulse and dashboards will be there where you are!! Read full details in the blog by Jessica Walsh: https://lnkd.in/gxsJM69s

#Microsoft #PowerBI. I want to make sure you know there are some amazing webinars (on-demand and upcoming events) to enhance your Power BI usage and adoption. Check them out: https://lnkd.in/gs6qAg5B #Azure #Analytics #Cloud #BusinessAnalysis #Analyst #Data #DataAnalytics #Reports #PowerApps #Fabric

Enhancing Data Analytics with Tableau and Power BI In the world of data analytics, having the right tools can make all the difference. Tableau and Power BI are two platforms that consistently stand out for helping organizations turn complex data into clear, actionable insights. Tableau is known for its ability to handle large datasets and create in-depth, customizable visualizations, making it a go-to for those looking to dive deeper into their data. Its intuitive interface also makes it easier to explore data from different angles. Free learning platforms: https://lnkd.in/eDJp3uKZ YouTube: Channel “Chandoo" Power BI, with its seamless integration into Microsoft’s ecosystem, is another great tool. It allows teams to quickly create dashboards and reports, which helps keep decision-makers informed in real time. Plus, its ease of use makes it accessible for a wide range of users. Free learning platforms: https://lnkd.in/e9ZJabqa YouTube: Channel “Guy in a Cube" Both tools have their strengths, and together, they provide organizations with the flexibility and power needed to make better, data-driven decisions. What’s your experience with these tools? Do you have a favorite? #DataAnalytics #Tableau #PowerBI #DataVisualization #BusinessIntelligence

Before you sign up for Tableau's 14-day free trial, make sure you’re ready to maximize your time. This comprehensive guide walks you through every stage, from familiarizing yourself with the Tableau suite to creating interactive dashboards and sharing your insights on Tableau Cloud. Learn how to connect to your data, prepare it for analysis, craft stunning visualizations, and build interactive dashboards - all within the trial period. https://bit.ly/3WxQ6YF Don't miss this opportunity to elevate your data skills and discover the transformative power of Tableau. Start your data journey today!

Now is the time to start mapping out your Tableau Cloud Migration! If you were able to attend #TC24 in-person or virtually, it was clear that the future of Tableau lies in #TheCloud! - Innovation: With the help of Salesforce's AI Product Team, Tableau is introducing Tableau AI products left-and-right! Whether it's #EinsteinDiscovery in Tableau (EDiT), Einstein Copilot in Tableau, or Tableau Pulse, Tableau is supercharging their AI integrated feature list to help Tableau Users (End Users and Devs alike) make the most of their data - Cost: Tableau Cloud is often a cheaper setup than Tableau Server, allowing businesses to cut out hardware expenses, streamline IT management/maintenance, and offer scalability and global accessibility across the organization. Its typical subscription-based model also allows for predictable expenses and adaptability compared to the usage-based Server pricing model. - Security: We deal with a lot of FINS /HLS customers, where security is the #1 priority. There's a common misconception that Tableau Cloud may not be as secure; however, Tableau Cloud, being managed by Tableau itself, benefits from regular updates and security patches applied by Tableau's dedicated security teams. Additionally, Tableau Cloud also offers advantages in terms of physical security and data center certifications (i.e. HIPAA/SOC2), as Tableau typically hosts its cloud services in highly secure and compliant data centers. Scale: Tableau Cloud offers flexible resource allocation, automatic scaling, and a global infrastructure. By managing infrastructure tasks, Tableau Cloud allows IT teams to prioritize strategic initiatives, making it a superior choice for organizations managing growing data volumes and user bases. Though there are always edge use-cases where Tableau Server may be the right choice, we are finding more and more that customers would highly benefit from migrating (or deploying) Tableau Cloud - reach out today if you would like to talk through our typical Cloud Migration Process, and how we could work with your team to discover whether Tableau Cloud is the right fit for you! #Tableau #Cloud #Modernization #Analytics #Roadmap #AI

PowerBI was built for server-based, on-premise data warehouses with limited and costly storage and compute. Sigma is built for cloud data platforms (Snowflake, Databricks, GoogleBigQuery, AWS Redshift, et al.) that have commoditized data storage costs and virtually unlimited and instantly scalable compute layers. It's difficult to compare tools in the same category (BI) that were built for completely different technology eras, but this post explains it all. 💡 #Data #Cloud #Analytics

Thousands of joint customers are successfully using Microsoft Power BI while simultaneously enjoying all of the benefits of the Snowflake Data Cloud. Take a look at possible synergies. #snowflake #powerbi #datacloud #dataanalytics

Leveraging Azure Management Tools for Enhanced Data Management with Tableau Microsoft Azure, a leading cloud computing service, offers a range of management tools that can significantly enhance data management, especially when integrated with data visualization tools like Tableau. Azure's suite of management tools includes services for computing, analytics, storage, and networking. These tools are designed to provide a robust and scalable platform for data handling and analysis, which is crucial for businesses leveraging Tableau for their data visualization needs. Key Azure Management Tools: ▶️Azure Portal: A user-friendly interface for managing all Azure services. ▶️Azure PowerShell and Azure CLI: Command-line tools for managing Azure resources. ▶️Azure Resource Manager: Helps in deploying, managing, and monitoring Azure resources. ▶️Azure Monitor: Provides comprehensive monitoring of Azure resources. ▶️Azure Automation: Automates frequent, time-consuming, and error-prone cloud management tasks. Integration with Tableau: The integration of Azure with Tableau can be a game-changer for data management and analysis. Azure provides a secure and scalable cloud environment for storing large volumes of data, which Tableau can then access for creating powerful visualizations and reports. ⚫️Data Storage and Scalability: Azure offers vast data storage options, which are essential for handling big data used in Tableau. This scalability ensures that as your data grows, your ability to analyze it in Tableau does not lag behind. 🔹Security and Compliance: Azure's security features ensure that your data is protected, which is crucial when dealing with sensitive information in Tableau dashboards. ◾️Improved Performance: Azure’s powerful computing capabilities can enhance the performance of Tableau’s data processing, enabling faster and more efficient data analytics. 🔸Real-time Data Analysis: With Azure, you can set up real-time data analytics, which Tableau can visualize, providing up-to-date insights for quick decision-making. In conclusion, the integration of Azure's management tools with Tableau provides a powerful combination for businesses looking to enhance their data management and visualization capabilities. This synergy enables organizations to efficiently manage their data in the cloud while leveraging Tableau's advanced data visualization tools, making them more agile and insight-driven in their operations. #Azure #Tableau #cloudcomputing #dataanalytics