TABLUM.IO is a DataPrep SaaS that quickly transforms any data file, such as CSV, JSON, XML, or spreadsheets, into a live SQL database, pipelined to your favorite analytics software. It makes data cleansed, normalized, and accessible via SQL without coding.
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I'm eager to test TABLUM.IO and see how it handles various data formats and scenarios. It would be great to know more about the range of data sources supported by TABLUM.IO, as well as any customization options available during the data transformation process.
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Maker
@sky_clever TABLUM.IO can read and parse data in various formats:
XML, JSON, CSV, MS Excel (old binary and new formats), LOG files with custom separator, unstructured texts (via regexp parser), ODT, Google Sheets.
It can load files from local and remote servers via URLs, fetch the results of API requests, parse RSS/ATOM feeds, and many others.
Besides the data ingestion, TABLUM.IO recognizes the type of data parsed and generates the corresponding SQL table schema automatically. Thus, you get a ready-to-use SQL table out of any unstructured or semi-structured files, feeds or APIs responses.
Finally, you can share loaded data via a standard database connector with any data apps, data analytics software, or self-service BI solutions.
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Kudos on your launch, and I'm looking forward to delving deeper into TABLUM.IO! I'll make sure to provide my feedback and thoughts as I explore its features and capabilities. Keep up the fantastic work! 👏
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Maker
@andrzej_krzysztof Your feedback is valuable! Feel free to test it and reach out to me with any questions.
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Congrats Guys! Good job - Turning raw data into analysis-ready SQL tables in just a matter of seconds is an exciting prospect. Your tool has the potential to significantly improve data preparation efficiency, allowing users to focus more on extracting valuable insights from their data.
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Maker
@brian_bench This is what we're aiming at - to get rid of the routine tasks related to data preparation. Now a lot of things can be done automatically with TABLUM.IO. Including cleansing and normalizing. Thank you for your comment!
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Hey, I've been using TABLUM for App Store competitor analysis for a while. Congratulations on the launch, and good luck!