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. It would be too easy to compare Nealon’s debut to another young female Irish writer. Yes, that one. And maybe that one, too. But if those works zeroed in on the uncomfortable realities of being a young person, Snowflake subtly debunks the misconceptions around what it’s like to come of age today.

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 learn 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.Use Snowflake Time Travel and zero-copy cloning to produce a sensible data recovery strategy that balances system resilience with ongoing storage costs 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 White grew up milking cows on a dairy farm in Kildare, with her uncle Billy living in a caravan on the property and her mother Maeve living in her dreams, sleeping the days away. When she’s accepted to study English in Trinity College Dublin, she swaps the brutality of farm life for that of the city, where guards laugh at her for asking for directions and classmates sneer at her naiveté. There’s a desire for her tortured experience to be unique to hers, when – as may of realise with age – it’s exceptionally common: "Great", she says when told she may have generalised anxiety. "It’s not just anxiety, it’s generalised too." Even I wasn’t this much of a dope. The ‘exceptionally smart’ Debbie also doesn’t realise she has to register for her course online and has to ask directions to Trinity. From Grafton Street. Um, okay.

The preceding SQL script will allow you to create two tables, customers_temp and customers_trans. The two tables are not permanent, but the tables have limitations. If you end the web UI session at this point, then the customers_temp table will not be recoverable after a re-login. Transient tables are available after a session has been closed and will retain data in a subsequent session created by user login; however, they don't consume fail-safe storage. This is an important mechanism for retaining data across sessions and can have applications in scenarios that require state management or in ETL jobs. 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. In an interview with the Irish Times, author Louise Nealon provided the roots of the novel as being personal. When she was 18, she awoke in the middle of the night convinced she was dreaming someone else’s dream. This was immediately dismissed as delusions. In Ireland, psychiatry is not thought of as being necessary, although it’s improving. Nealon wanted to write a story about the silence of mental illness in Ireland because for her, psychiatry didn’t help her, but reading literature did. I tend to avoid some books when they're being hyped up in the media for fear they will not live up to that hype, this is one of those books I avoided at all costs for weeks. I then started to see comparisons being made to Sally Rooney's Normal People and decided hell no not for me. (Apologies Sally Rooney fans!) Fast forward to a Borrowbox update and this beauty popped up in the audiobook section, I thought what have I got to lose.Discover how Snowflake’s unique objects and features can be used to leverage universal modeling techniques through real-world examples and SQL recipes Transient tables are non-permanent tables, but unlike temporary tables, transient tables exist until explicitly dropped and are visible to any user with the appropriate privileges. Transient tables have a lower level of data protection than permanent tables. Data in a transient table may be lost in the event of a system failure. Transient tables should only be used for data that can be recreated in the event that the data is lost.

A key thing to know about databases and tables used for ETL processing is that the data in those tables will be repeatedly inserted and deleted. If such tables are not specifically configured, you will be unnecessarily incurring costs for the time travel and fail-safe that is stored with every data change that happens for those tables. We will set such databases to be transient (with TRANSIENT) so that the fail-safe option is not the default for the tables in that database. Setting this option does mean that such databases are not protected by fail-safe if a data loss event occurs, but for temporary databases and tables, this should not be an issue. Also, we have set time travel to be zero so that there is no time travel storage as well. 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… In this article, we list free resources and tools to help you learn the nuts & bolts of Snowflake. Courses & modules Snowflake Documentation 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. Let's start with the creation of views in Snowflake. We shall look into the creation of simple views on tables and then talk about materialized views:The following examples can be run either via the Snowflake web UI or the SnowSQL command-line client. Please make sure that you have access to the SNOWFLAKE_SAMPLE_DATA database in your Snowflake instance. The SNOWFLAKE_SAMPLE_DATA database is a database that is shared by Snowflake automatically and provides sample data for testing and benchmarking purposes. How to do it… What we now have created is a deep copy of the CUSTOMERS table and a new table, which has received all data from CUSTOMERS and is called CUSTOMERS_DEEP_COPY. The deep copy means that the table structure and data has been copied, as opposed to a shallow copy, which would copy the table structure only. This copied table is now an independent copy that can have a life cycle of its own with no changes or side effects originating from any operations performed on the CUSTOMERS table. A SELECT QUERY statement on this new table would generate the same results as shown in the previous table.