The standard CREATE SCHEMA command uses the defaults set at the database level. If you have not changed any of the configuration, the created schema will have fail-safe enabled by default. Also, time travel is enabled for the schema automatically and is set to be 1 day by default. Both these features have costs associated with them and in certain cases, you can choose to turn off these features. Do note that although we have set the database to have no time travel and no fail-safe, we can still set individual tables within the database to be protected by the fail-safe and time travel. Setting these options at the database level only changes the defaults for the objects created within that database. In this article, we list free resources and tools to help you learn the nuts & bolts of Snowflake. Courses & modules Snowflake Documentation This recipe shows you how to create a table and insert data to explain different behaviors in storing data. Here you will be introduced to the different options that are available from a life cycle perspective, such as tables being permanent, temporary, volatile, and so on. Most of the concepts are not new, so the focus is going to be on the specifics related to Snowflake. We will start with a simple example that creates a table. We shall insert some sample data into it and then try out different variations on creating tables in Snowflake. Getting ready

It is important to note that creating a database sets the current database of the session to the newly created database. That would mean that any subsequent data definition language ( DDL) commands such as CREATE TABLE would create a table under that new database. This is like using the USE DATABASE command. There's more… Let's now look at how the parquet file can be loaded into an external table. We shall be creating an external table called ext_tbl_userdata1. The creation of the table would require a location from which data can be read into the table. It would also require a file format. In this case, the file type is parquet: create or replace external table ext_tbl_userdata1 Trotz dieser tragischen Geschichte ist das Buch unglaublich humorvoll, die Charaktere sind alle miteinander ein wenig skurril. Gerade für einen Debütroman ist auch die Sprache hervorragend. Ich wurde förmlich hineingesogen in das Buch. Sehr gut gefallen haben mir auch die etwas magischen Elemente. Sie geben dem Roman nochmal einen ganz eigenen Ton. Yet, we must ensure that these solutions are developed using recommended design patterns and accompanied by documentation that’s easily accessible to everyone in the organization.

About Snowflake Books

Aside from the two main reasons I bought this book – supporting Irish authors and keeping up with the zeitgeist – I genuinely thought this might actually hit my buttons. I too was once a sheltered country girl going to the big city for college and feeling horribly lost from day one. However, right from the start I lost sympathy with Debbie. When 18-year-old Debbie makes the transition from secondary school student to college student, she's overwhelmed by the adulting decisions she now faces in school, the pressure to socialise with other students and she lives a life treading between two worlds - that of a more metropolitan Dublin, and her home on the family dairy farm caring for her unstable mother, and talking Greek mythology with her beloved uncle Billy. The time travel configuration can also be changed at a later time by altering the database with ALTER: ALTER DATABASE temporary_database

By the end of this Snowflake book, you’ll have learned how to leverage Snowflake’s innovative features, such as time travel, zero-copy cloning, and change-data-capture, to create cost-effective, efficient designs through time-tested modeling principles that are easily digestible when coupled with real-world examples. What you will learnLouise Harland narrated the book and there could not have been a better person. She epitomises Debbie and really brings her character and little quirks to life. The following example DDL statement will be executed to create a table called CUSTOMERS in Snowflake: CREATE TABLE customers (

This recipe will introduce you to different variations of views that are specific to Snowflake and in what scenario a variant of a view should be used. The recipe will cover simple views and materialized views and will provide guidance on when to use what type of view. Getting ready Ingest and transform real-time data feeds in both structured and semistructured formats and deliver meaningful data insights within minutes These are read-only tables that maintain metadata that's helpful in interpreting the contents of a file, which could be formatted as parquet, csv, and so on. While time travel is normally required for production databases, you wouldn't normally need time travel and the fail-safe for temporary databases such as databases that are used in ETL processing. Removing time travel and the fail-safe helps in reducing storage costs. Let's see how that is done: CREATE TRANSIENT DATABASE temporary_database As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization.A local temporary table (also known as a volatile table) persists for the duration of the user session in which it was created and is not visible to other users. A temporary table's definition and contents are dropped at the end of the user session. Debbie isn’t the only funny one. She comes home drunk, and her Uncle Billy gives her one glance and tells her he needs to teach her how to drink. Billy takes her to the local pub, and the lessons are hilarious. This is a quirky story laced with serious themes. Use Snowflake Time Travel and zero-copy cloning to produce a sensible data recovery strategy that balances system resilience with ongoing storage costs The basic CREATE DATABASE command creates a database with the defaults set at the account level. If you have not changed the defaults, the default for time travel is 1 day, which is the value that appears in retention_time when you run the SHOW DATABASES command. The database will also have a fail-safe enabled automatically. Both these options will cost you in storage, and in certain cases, you might want to reduce those storage costs. As an example, databases that are used for temporary ETL processing can easily be configured to avoid these costs. Louise Nealon's novel explores the trauma of leaving the nest, as it follows a young woman’s transition from her upbringing on a Kildare dairy farm to the throngs of Trinity College, all while shouldering both everyday and profound burdens.

Snowflake: The Definitive Guide” written by Joyce Kay Avila, a certified Snowflake and Data Superhero with more than 25 years of experience as a business and technology leader. She is currently the Snowflake practice manager for a Snowflake partner consulting firm. Let's start by creating a table for storing customer data. We shall start with the DDL statement for creating a table: Besides being a coming-out-age story filled with complications and quirky moments, the story is also about self-acceptance and familial relationship. As Debbie steps out of her comfort zone, she has to navigate between new peers and the family bubble. Things eventually fall apart and the dark issues surrounding the family history and mental health are uncovered.

Table of contents

In step 3, when the Parquet file is loaded into the external table, the table rows have all the field names captured, as shown in step 4. But in step 5, when the CSV-formatted file is loaded into the external table, there are dummy column names created by Snowflake, as can be seen in step 6. This is because a Parquet file has metadata stored inside the file, while a CSV file does not have that metadata embedded in it. This is a major difference and would usually require additional steps as shown in step 7 to generate meaningful column names, plus the casting of data types. There's more… I can’t imagine someone going through life without grasping the concept of the iconic six-armed snow crystal,’ I say. Let's query the newly created external table. This would show each row of the result set as a JSON document. Within each row, you should be able to see different columns with their respective values as key-value pairs: select * from ext_tbl_userdata1; The output should show retention_time as zero or a blank value, indicating that there is no time travel storage for this schema, and also the options column should show TRANSIENT as the option, which essentially means that there will be no fail-safe storage for this schema. How it works… Eighteen-year-old Debbie was raised on her family’s rural dairy farm, forty minutes and a world away from Dublin. She lives with her mother, Maeve, a skittish woman who takes to her bed for days on end, claims not to know who Debbie’s father is, and believes her dreams are prophecies. Rounding out their small family is Maeve’s brother Billy, who lives in a caravan behind their house, drinks too much, and likes to impersonate famous dead writers online. Though they may have their quirks, the Whites’ fierce love for one another is never in doubt.