Azure Data Lake Storage Connector - Query Storage Data with AI

Connect Azure Data Lake Storage to Sourcetable, and query storage data with AI

You've never seen a spreadsheet do this before.

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	A	B	C	D	E
1	Table	Records	Updated	Size	Status
2	users	245,891	2025-12-14	1.2 GB	Active
3	orders	892,334	2025-12-14	4.8 GB	Active
4	products	12,445	2025-12-13	256 MB	Active
5	sessions	1,234,567	2025-12-13	2.1 GB	Active
6	analytics	445,223	2025-12-12	Syncing...	Syncing
7	logs	2,891,445	2025-12-11	8.9 GB	Active

Database tables from Azure Data Lake Storage

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Sourcetable

Use Azure Data Lake Storage, show me files and storage usage

See how simple it is to connect...

...and analyze Azure Data Lake Storage data.

“I used to export Azure Data Lake Storage data to spreadsheets and manually create reports. Now I query analytics data using plain English and get insights instantly.”

— Operations Manager

Top 10 Most Popular Azure Data Lake Storage connector actions from the Sourcetable community

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How do I connect Azure Data Lake Storage to Sourcetable?

Connect your Azure Data Lake Storage account to Sourcetable by clicking "Start connecting" and authenticating with your Azure Data Lake Storage credentials. Once connected, you can query storage data, create visualizations, and build reports directly from your spreadsheet using natural language commands.

What can I do with the Azure Data Lake Storage connector?

The Azure Data Lake Storage connector lets you query storage data, create custom reports, track key metrics, and build automated dashboards. You can query your Azure Data Lake Storage data using plain English and Sourcetable will fetch and analyze the data automatically.

Can I analyze my Azure Data Lake Storage data with AI?

Yes! You can analyze your Azure Data Lake Storage data using plain English queries. Ask questions like "Show me files and storage usage" and Sourcetable's AI will query your Azure Data Lake Storage account and create visualizations automatically.

Is my Azure Data Lake Storage data secure?

Yes. Sourcetable uses industry-standard OAuth 2.0 authentication and encryption to connect to your Azure Data Lake Storage account. Your credentials and data are encrypted both in transit and at rest. We follow enterprise security best practices and you maintain full control over your Azure Data Lake Storage account permissions.

How often does my Azure Data Lake Storage data sync with Sourcetable?

Your Azure Data Lake Storage data syncs automatically when you run a query or fetch data. You can manually refresh at any time to get the latest information. This ad-hoc approach means you always work with current data while maintaining control over when data is fetched.

How is this different from exporting Azure Data Lake Storage data to Excel or CSV?

Unlike static CSV exports, Sourcetable connects directly to your live Azure Data Lake Storage data. You can query current data using natural language without writing SQL, create dynamic dashboards that update on-demand, and analyze trends across any time period instantly. No more downloading files, copying data between spreadsheets, or manually updating reports.

Can I import historical Azure Data Lake Storage data from before I connected?

Yes! When you connect Azure Data Lake Storage to Sourcetable, you can access all historical data available in your Azure Data Lake Storage account. Specify date ranges in your queries like "Show me all data from the past 2 years" and Sourcetable will fetch the historical records from Azure Data Lake Storage's API.

How does Sourcetable replace my manual Azure Data Lake Storage reporting workflows?

Instead of waiting for scheduled reports or manually exporting CSVs, you can run any analysis instantly whenever you need it. Ask questions on-demand and get answers in seconds. Save your most common queries as templates, share them with your team, and build dashboards that anyone can refresh with a click. This ad-hoc approach means you're never waiting for reports - you create insights when you need them.

What data sources does Sourcetable support?

We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data like Azure Data Lake Storage and most plain text data. View all available connectors at sourcetable.com/connectors.

Can I generate data visualizations?

Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. For Azure Data Lake Storage data, you can create charts showing trends, distributions, comparisons, and more. All visualizations are downloadable and can be exported as interactive embeds.

What data science tools are available?

Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn to analyze your Azure Data Lake Storage data and create insights.

Is this free?

Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have usage limits. Users can upgrade to the Pro plan for more credits.

Is there a discount for students, professors, or teachers?

Students and faculty receive a 50% discount on the Pro and Max plans. Email support@sourcetable.com to get your discount.

Is Sourcetable programmable?

Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write Python code for you.

Sourcetable + Azure Data Lake Storage

Turn your data into actionable insights.

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