CData Excel Add-In for Azure Data Lake Storage

Overview

The CData Excel Add-In for Azure Data Lake Storage provides the easiest way to connect to Azure Data Lake Storage data from Excel. From the CData ribbon, you can select Get Data and choose From Azure Data Lake Storage to import tables and columns into the spreadsheet. The spreadsheet will then be linked with the remote data.

Key Features

Select tables and columns using the CData ribbon.
Schedule automatic data refresh in the data selection dialog.

Getting Started

See Establishing a Connection to connect your workbook to Azure Data Lake Storage. To easily share the workbook, store the connection in the workbook. Refresh the spreadsheet automatically or from the ribbon.

Using the Excel Add-In

See Using the Excel Add-In to use the CData ribbon to execute operations supported by the add-in:

Querying Data: You can use the Data Selection wizard (click Edit Query from the ribbon) to select tables, columns, and filters, building a query to Azure Data Lake Storage. You can also write your own SQL to query Azure Data Lake Storage just as you would query a traditional database; by Writing Parameterized Queries, you can create dynamic spreadsheets that take cell values as the query inputs. Click Refresh Worksheet in the ribbon to pull the latest changes.

See CData Excel Functions and Using the Excel Add-In (VBA) to programmatically access any of the functionality available on the ribbon.

Advanced Features

Advanced Features details additional features supported by the add-in, such as defining user defined views, ssl configuration, remoting, firewall/proxy settings, and advanced logging.

SQL Compliance

See SQL Compliance for a syntax reference and code examples outlining the supported SQL.

Data Model

See Data Model to find more information on how the add-in models the Azure Data Lake Storage APIs as tables, views, and stored procedures, as in a relational database.

Connection Properties

The Connection properties describe the various options that can be used to establish a connection.