Utilizzo dei tipi di dati JSON e array in BigQuery 2.5 recensioni

Ashu R. · Recensione inserita oltre 2 anni fa

Suraj K. · Recensione inserita oltre 2 anni fa

Galib H. · Recensione inserita oltre 2 anni fa

Yuandika A. · Recensione inserita oltre 2 anni fa

Victor B. · Recensione inserita oltre 2 anni fa

There could be a little bit more time for this lab

Jacek D. · Recensione inserita oltre 2 anni fa

This lab need additional 30 mins for me

Prabakaran K. · Recensione inserita oltre 2 anni fa

pradeep t. · Recensione inserita oltre 2 anni fa

Kulud B. · Recensione inserita oltre 2 anni fa

racingのデータセットの作成は、fruit_storeと同階層に作成する旨の記述が足りない。

Watanabe J. · Recensione inserita oltre 2 anni fa

Thomas D. · Recensione inserita oltre 2 anni fa

MARIN V. · Recensione inserita oltre 2 anni fa

Nani D. · Recensione inserita oltre 2 anni fa

Jussi R. · Recensione inserita oltre 2 anni fa

Arulkumaran A. · Recensione inserita oltre 2 anni fa

Akarsh K. · Recensione inserita oltre 2 anni fa

Zahid G. · Recensione inserita oltre 2 anni fa

Eissa A. · Recensione inserita oltre 2 anni fa

Vijay M. · Recensione inserita oltre 2 anni fa

This was probably the most engaging lab I've done so far, but it had some significant issues. I really liked the puzzles to create new queries, and I think other labs would strongly benefit from including more things like that. Step 2 of the subsection "Let's explore a dataset with STRUCTs" in "Task 5. Introduction to STRUCTs" is worded as though for an older version of BigQuery: "If it's not present already, click ADD DATA > Pin a project." it should instead say "If it's not present already, click ADD > Star a project by name" Step 3 of that subsection also has issues for this reason. In Task 5 step 8, counting the number of structs and arrays in a large schema feels like not-very-useful busywork and soured my impression of this lab. The Ctrl-F "total matches" count is unreliable (in Firefox at least) given how the Google Cloud console displays the schema information. Having to manually expand all the nested fields is also annoying. This was the longest part of the lab. In the same Task 5, the step "As you can imagine, there is an incredible amount of website session data stored for a modern ecommerce website. The main advantage of having 32 STRUCTs in a single table is it allows you to run queries like this one without having to do any JOINs:" doesn't make it clear that the query must be run to advance the lab. It should more explicitly address this. Task 8 contains an instruction to use the UNNEST() operator and a note saying "You will need to unpack both the struct and the array within the struct as data sources after your FROM clause" but this is contrary to the bigquery docs at https://cloud.google.com/bigquery/docs/arrays#flattening_arrays, which say "Note that for correlated cross joins the UNNEST operator is optional and the CROSS JOIN can be expressed as a comma cross join." In fact, most of the tasks of the lab don't require the use of UNNEST

Nicholas C. · Recensione inserita oltre 2 anni fa

Zied N. · Recensione inserita oltre 2 anni fa

Xuan S. · Recensione inserita oltre 2 anni fa

Karla Ilian R. · Recensione inserita oltre 2 anni fa

Gaurav M. · Recensione inserita oltre 2 anni fa

Marisol F. · Recensione inserita oltre 2 anni fa