When working with Power BI, connecting to data sources is a critical step. One data source that is becoming increasingly popular is Hive LLAP. Hive LLAP is a data warehouse technology that allows for querying of large datasets stored in the Hadoop Distributed File System (HDFS). In this article, we will explore how to connect to the Hive LLAP data source using Power Query M Language code from inside Power BI.
Prerequisites
Before we begin, there are a few prerequisites that need to be in place:
– Power BI Desktop must be installed on your machine.
– The Hive LLAP data source must be accessible from your machine.
– The required ODBC driver for Hive LLAP must be installed on your machine.
If any of these prerequisites are not met, please ensure they are in place before proceeding.
Creating the Connection
To create a connection to the Hive LLAP data source, we will first need to open Power BI Desktop. From the Home screen, select the “Get Data” option in the ribbon. In the “Get Data” window, select “ODBC” from the list of available connections.

In the “ODBC” window, select the “Advanced” option. In the “Advanced Options” window, we will need to enter the connection string for the Hive LLAP data source. The connection string will look something like this:
Driver={ODBC Driver for Apache Hive};Host=;Port=;Schema=;UID=;PWD=;
Replace `` with the hostname or IP address of your Hive LLAP server, `` with the port number for the Hive LLAP server (default is usually 10000), `` with the Hive database name, `` with the username for connecting to the Hive LLAP data source, and `` with the corresponding password.
Once the connection string has been entered, select “Connect” to create the connection to the Hive LLAP data source.

Querying the Data
Now that we have created the connection to the Hive LLAP data source, we can begin querying the data. To do this, we will need to add a new query to our Power BI report. From the Home screen, select the “New Source” option in the ribbon. In the “New Source” window, select “Blank Query”.

In the “New Query” window, select the “Advanced Editor” option. In the “Advanced Editor” window, we can begin writing our Power Query M Language code to query the data. Here is an example of Power Query M Language code for connecting to the Hive LLAP data source:
let
Source = Odbc.DataSource(“dsn=“),
Query = “SELECT FROM
“,
Results = Odbc.Query(Source, Query)
in
Results
Replace `` with the name of the ODBC data source name configured on your machine and `
` with the name of the table you wish to query.
Once the Power Query M Language code has been entered, select “Done” to create the query. From here, you can manipulate the data as needed using Power Query transformations.
Conclusion
Connecting to the Hive LLAP data source from inside Power BI is a powerful capability that allows for querying of large datasets stored in the Hadoop Distributed File System. With the Power Query M Language code provided in this article, you can easily create a connection to the Hive LLAP data source and begin querying the data.
Power BI Training Courses by G Com Solutions (0800 998 9248)
In today’s fast-paced world, building connections and fostering meaningful relationships has become increasingly important. Whether it’s in business or personal life, the ability to establish profound connections can lead to success, happiness, and fulfillment. However, finding common ground and shared experiences can often be challenging. This is where the power of data analysis tools, such as Power Query, comes into play. In this article, we will explore how Power Query’s Current Date feature can help you unlock insights and build profound connections.
When it comes to business intelligence, Power BI has become one of the most popular tools in the market. With its ability to analyze, visualize, and share data insights, Power BI is a game-changer for businesses of all sizes. One of the key features of Power BI is its ability to connect to various data sources, including Azure SQL Database. In this article, we will explore the Power Query M Language code for connecting to the Azure SQL Database data source from inside Power BI.
Power BI is a business analytics service provided by Microsoft that allows users to create interactive visualizations and business intelligence reports. One of the popular data sources for Power BI is Marketo, a marketing automation software platform. In this article, we will explore how to use Power Query M Language code to connect to the Marketo data source from inside Power BI.
To obtain your MCSA: BI Reporting you need to pass two exams: 70-778 (Analyzing and Visualizing Data with Power BI) and 70-779 (Analyzing and Visualizing Data with Excel). However, there is a huge overlap between the two exams resulting from the common BI features found in both Power BI and Excel: namely data modelling using…
Are you looking for a way to connect to the Product Insights data source from inside Power BI? If so, you’ve come to the right place. In this article, we’ll explore the Power Query M language code that you can use to connect to the Product Insights data source, and we’ll provide step-by-step instructions to help you get started.
Power BI has revolutionized the way businesses analyze and visualize their data, providing valuable insights for informed decision-making. Among its powerful features, the Q&A (Question and Answer) functionality stands out as a dynamic and intuitive way to interact with data. In this comprehensive guide, we will explore how to implement and optimize the Q&A feature in Power BI, helping you supercharge your analytics capabilities.