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APOS Live Data Gateway (LDG) is a data connection and data transformation solution that enables live data connectivity and expanded data source options for SAP Analytics Cloud and other SAP solutions. When paired with CData Connectors, users can build semantic layer views for live Databricks data, enabling real-time analytics on Databricks just like working with a relational database.
With built-in optimized data processing, the CData Connector offers unmatched performance for interacting with live Databricks data. When you issue complex SQL queries to Databricks, the driver pushes supported SQL operations, like filters and aggregations, directly to Databricks and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Databricks data using native data types.
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
In order to access Databricks data through the APOS Live Data Gateway, you will need to download the connector files from APOS and install them on the machine hosting the Live Data Gateway. An APOS representative can deliver the necessary files.
Before establishing the connection to Databricks from the APOS Live Data Gateway, you need to configure the Databricks JDBC Connection String.
For assistance in constructing the JDBC Connection String, use the connection string designer built into the Databricks JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.databricks.jar
Fill in the connection properties and copy the connection string to the clipboard.
To connect to a Databricks cluster, set the properties as described below.
Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.
Your connection string will look similar to the following:
jdbc:Databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;
After installing the connector files and configuring the connection string, you are ready to connect to Databricks in the Live Data Gateway Admin tool and build a semantic layer view in the Live Data Gateway Web UI.
jdbc:Databricks:Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;
At this point, we are ready to build our semantic layer view in the Live Data Gateway Web UI.
With the Semantic Layer View created, you are ready to access your Databricks data through the APOS Live Data Gateway, enabling real-time data connectivity to Databricks data from SAP Analytics Cloud and other SAP solutions.
Please visit APOS Systems - APOS Solutions - Request Evaluation Software to request evaluation software or email [email protected] for more information on working with your live Databricks data in APOS Live Data Gateway.
Download a free trial of the Databricks Driver to get started:
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