Though seemingly unable to escape comparisons with Sally Rooney, this book is in an entirely different register from Rooney's work. While Rooney is interested in philosophical questions about our place in the world and how relationships work, Nealon's work is much grittier and down-to-earth. This is not a slight on either author: I've really enjoyed both of their work, but I think the similarities between them are superficial. Though Nealon's novel begins with Debbie going to university, this story is rooted in the world of a rural dairy farm. The world of Dublin and of Trinity college are secondary to the beating heart of the novel, which is Debbie's immediate family: her mother, Maeve, and her uncle, Billy. The family is loving, but struggles to function: Billy blames himself for his mother's death, and drinks heavily, while Maeve seems constantly on the point of breakdown. Debbie also uses alcohol to cope: it's all she's learnt. Though she was alienated at school, she also feels dislocated in university, and struggles to find her place, though she befriends the privileged but depressed Xanthe. This book is also an indictment of the struggling mental health systems and of clueless therapists, as characters try to seek help and meet bureacratic walls. This book is raw, dark and heartwarming all at the same time, and I absolutely loved it. I think Louise Nealon captured a girl on the cusp of the rest of her life so well, this absolute fine line between childhood and adulthood. A girl who absolutely does not know herself at all, does not know how to look after herself, and just needs to be kinder and more understanding to herself in all ways. This is very much a coming of age type novel, interspersed with some magical realism in a way thanks to Debbie and her mother's penchant for prophesising dreams, and Uncle Billy's reputation as a wise man. But is it really magical realism, or just a family with a bloodline that mean they are more sensitive to those around them, and the knowledge of the other plane of the world others have forgotten. It is important to note that creating a new schema sets the current schema of the session to the newly created schema. The implication of this behavior is that any subsequent DDL commands such as CREATE TABLE would create the table under that new schema. This is like issuing the USE SCHEMA command to change the current schema. There's more… Books & guides Architecting Data-Intensive SaaS Applications: Building Scalable Software with Snowflake I am a culchie. I grew up on a farm in County Galway, though I live in Dublin city these days. My country roots are something I might have run from in my youth, but lately I have grown to appreciate them. I have often felt that our tribe is underrepresented in modern Irish literature but finally, here it is. Snowflake is the Great Culchie Novel. When I saw references in the story to Wavin pipes, standing in gaps to move cattle and traditions like Cemetery Sunday, I knew I was in the hands of a true bogger.

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 deep and shallow copies can be explained by the following query and the result generated by Snowflake: show tables like 'customers%'; 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. Veľmi dobre je tu zvládnutá téma dospievania. Nie je to zabalené do cukrovej vaty, proste poukazuje na to, že ten prechod zo strednej na vysokú nie je taký plynulý ako sa zdá. A môže byť miestami dosť krutý. Plus hlavná postava pochádza z dedinky neďaleko veľkého mesta a neskutočne sa mi páčilo ako sa to prelínalo/kontrastovalo spolu.Every database in Snowflake will always have a public schema that is automatically created upon database creation. Additionally, under every database, you will also find an additional schema called the information schema. The information schema implements the SQL 92 standard information schema and adds additional information specific to Snowflake. The purpose of the information schema is to act as a data dictionary containing metadata that you can query to find information such as all the tables in the system, all columns along with their data types, and more. It is possible to add many additional schemas under a given database, which can help you organize your tables in a meaningful structure. Enchantment rings through the book and is found in the self-mythologising of the characters, the classical references and the focus on the self and identity. The splendour of Trinity is overshadowed by the mysticism of the farm, where calves are born deformed, sometimes with no head or extremities, and where lives are snuffed out.

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. Debbie’s home life is one marked by mysticism and austerity. Maeve, the erstwhile village bombshell now living with an undiagnosed mental illness, spends her days recording her dreams and collecting shells as talismans. Billy spins tales of Greek gods from his caravan roof, tracing constellations in the stars and needling Debbie for stories. It will take a fair bit of time to create the view as opposed to the immediate creation that we saw in step 2, mainly because materialized views store data, unlike normal views, which just store the DDL commands and fetch data on the fly when the view is referenced. 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…

Now let's look at another table copying method – shallow copy. In certain situations, a new table is required to be created with the same structure as an existing table, but the data is not to be copied, in which case a shallow copy is created. This is achieved by using the LIKE keyword as provided by Snowflake: CREATE OR REPLACE TABLE