Snowflake is the first analytics database built with the cloud and delivered as a data warehouse as a service. It can run on popular providers like AWS, Azure, and Google cloud platforms. There is no hardware (virtual or physical) or software needed to install, configure, and manage, entir...
data science, data engineering, data warehouse and many more. Snowflake is called the fastest-growing application because of its unique features, allowing it to analyze
easier to set up, and significantly more adaptable than typical data warehouse systems. This tutorial provides only a brief synopsis of the data warehouse in Snowflake, which we will go through in more detail.
For this tutorial you need to: Download a Snowflake provided Parquet data file. Create a database, a table, and a virtual warehouse. Database, table, and virtual warehouse are basic Snowflake objects required for most Snowflake activities. Downloading the sample data file To download the sampl...
Tutorial: Create a mirrored database from Azure SQL Database Tutorial: Create a mirrored database from SnowflakeCreate a shortcutYou first need to create a shortcut from your mirrored tables into the Lakehouse, and then build notebooks with Spark queries in your Lakehouse.In...
For more detail on LATERAL FLATTEN, read Snowflake'sLATERAL FLATTEN and JSON tutorial. About the author Ron L'Esteve is a trusted information technology thought leader and professional Author residing in Illinois. He brings over 20 years of IT experience and is well-known for his impactful books...
1.Downloadand install the Progress DataDirect ODBC driver using the15-day trial software. In this tutorial, we are connecting toSnowflakeDatabase. 2.After the DataDirectSnowflakeODBC driver has been installed, open ODBC Administrator to configure the connection. Go to System DSNand click onAdd...
1.Downloadand install the ProgressDataDirectODBC driver using the15-day trial software. In this tutorial, we are connecting toSnowflakeDatabase. 2.Configure a data source for your database. See theDataDirectdocumentationfor assistance with setting up your data source. You will learn how to c...
Alternatives (Snowflake/Redshift) Duration: 1-1.5h Week 4: Analytics engineering Goal: Transforming Data in DWH to Analytical Views Instructor: Victoria Basics (15 mins) What is DBT? ETL vs ELT Data modeling DBT fit of the tool in the tech stack Usage (Combination of coding + theory) (...
Basically you’ll be able to take your laptop-based, Python and Pandas data science and data engineering code, and scale it out directly to run on the Snowflake cluster with extremely high compatibility. The numbers we’ve seen are 90% to 95% compatibility. So you might have this situation...