DBeaver’s Post

⚡Feature update⚡ We've made our tables even more user-friendly. Now, as well as being able to customize them by hiding columns, grouping information, and filtering to see exactly what you need, you can also export your data directly to CSV or JSON formats. Whether you need to analyze data outside of Port or just prefer it in a different format, we’ve got you covered. But with all the great features Port offers, we wouldn't be surprised if you never wanted to leave! 😉 Want to find out more? Get in touch: https://hubs.la/Q02vVTfp0 #platformengineering #devex #developerproductivity

Last week we released our new open-source framework for data apps and embedded analytics. Here's a quick demo using a local CSV file + DuckDB. Let me know what you think!

#SAPDatasphere #July #LatestFeatures #AnalyticModel 1)Data Export from Preview In the data preview of the analytic model, you can now export the data as an Excel or CSV file. This enables you to share the intermediate results with colleagues, and to validate the calculations and measures. 2)Undo/Redo When you edit an analytic model, you can now undo or redo your changes. 3)Diagram Orientation You can now change the orientation of the layout of the diagram of the analytic model. https://lnkd.in/gDfMdUmP

Transform your CSV files into actionable insights with our new CSV Analyzer - no database required, just upload and query in plain English at AI2SQL.io .

📊 Introducing CSV Analyzer: Your data, your queries, no database required! ✨ Upload your CSV 💡 Ask questions in plain English 🚀 Get instant insights Turn your spreadsheets into powerful databases. Try it now at AI2SQL.io and unlock the potential of your data! #DataAnalysis #CSV #NoCode #AI2SQL

Utilize the Split Types feature in our Stats+ tool for in-depth analysis of stat tables. Sort and filter data by scenarios like bases empty or two outs. View the dynamically filtered tables right inside 6-4-3 Charts (or Export directly to CSV or PDF) for unmatched, actionable insights for your team or opponents!

Upload a CSV file with up to 5MB of data to populate your cascading dropdown options. 🔥 Calling all form enthusiasts and business dynamos—let's make it happen! Check it out now: https://lnkd.in/gVbQmczg #PlatoForms #dropdownoption #onlineform

Delta Lake makes it easy to apply column level constraints which helps ensure data quality of your Polars analyses. The following example shows how to apply a column constraint that the age column is positive and how Polars appends that violate this constraint will be rejected. Some data pipelines are constructed with such data quality constraints in external tools, but it's better to have column level constraints embedded in the table itself. This ensures that no writers can ever append data that violates the constraint. Column level constraints are a significant advantage compared to other file formats like CSV or Parquet!

Curious about CSV files? Discover what they are, how they work, and why they're essential for data handling in our latest article. Learn everything you need to know about this versatile file format. https://lnkd.in/eFxbtKEZ #DataHandling #CSV #TechTips

Export your as-built layout data to Excel for analysis. Steven Ostrowski walks through four simple steps for how to do it: - Save data - Data table - Export to CSV - Use in Excel #Construction #BuildingConstruction #MEP #Utilities