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Snowflake Interview Questions and Answers 1. What ETL tools do you use with Snowflake?ĭo you want to enhance your skills and build your career in this cloud data warehousing domain? Then enrol in " Snowflake Training " this course will help you to achieve excellence in this domain.Top 10 Frequently Asked Snowflake Interview Questions Snowflake Developer Interview Questions.Snowflake Interview Questions and Answers.
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In This Interview Questions, You Will Learn If that is the career move you are making, and you are preparing for a Snowflake job interview, the below Snowflake interview questions and answers will help you prepare. According to, the average salary for a Snowflake Data Architect in the US is around $179k per annum. Therefore, there is always a demand for Snowflake professionals. Tech giants like Adobe systems, AWS, Informatica, Logitech, Looker are using the Snowflake platform to build data-intensive applications. It gives support for popular programming languages like Java, Go. Import .Snowflake is attaining momentum as the best cloud data warehouse solution because of its innovative features like separation of computing and storage, data sharing, and data cleaning. Spark Write DataFrame to Snowflake table complete example Ignore – Ignores write operation when the file already exists, alternatively you can use SaveMode.Ignore.Įrrorifexists or error – This is a default option when the file already exists, it returns an error, alternatively, you can use SaveMode.ErrorIfExists. Overwrite – mode is used to overwrite the existing file, alternatively, you can use SaveMode.Overwrite.Īppend – To add the data to the existing file, alternatively, you can use SaveMode.Append. Spark DataFrameWriter provides method mode() to specify SaveMode the argument to this method either takes below string or a constant from SaveMode class. When your column names do not match between Spark DataFrame schema and Snowflake table-use columnmap options with a parameter as a single string literal. Use mode() to specify if you wanted to overwrite, append, or ignore if the file already present. Use dbtable option to specify the Snowflake table name you wanted to write to Use Option() to specify the above-discussed connection parameters like URL, account, username, password, database name, schema, role and more. Use format() to specify the data source name either snowflake or
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sfUser : Snowflake user name, typically your login user.sfAccount : You account name, you can get this from URL for e.g “oea82”.To establish a connection from Spark to Snowflake account and database, we need to provide the following connection properties using Spark options. Val df = simpleData.toDF("name","department","salary") Here, “spark” is an object of SparkSession This Spark with Snowflake example is also available at GitHub project for reference.įirst, let’s create a Spark DataFrame which we later write to Snowflake table. Statement.executeUpdate("create or replace table EMPLOYEE(name VARCHAR, department VARCHAR, salary number)") Val statement = connection.createStatement Val connection = DriverManager.getConnection(jdbcUrl, properties) To create a table you can use either Snowflake web console or use the below program to create. In order to create a Database, logon to Snowflake web console, select the Databases from the top menu and select “create a new database” option and finally enter the database name on the form and select “Finish” button.