Bekerja dengan info personal

Sebuah tabel baru ditambahkan ke gudang data Anda, yang memuat informasi khusus pengguna. Namun, data pada kolom personal_info di tabel members berformat VARIANT, dan berbentuk seperti di bawah ini. Tugas Anda adalah memfilter dan mengurai data ini menjadi himpunan hasil yang dapat digunakan untuk merencanakan penawaran khusus bagi setiap anggota.

{
      "age": "56",
      "gender": "Female",
      "name": {
        "first": "Chris",
        "last": "Wilson"
      }
}

Latihan ini adalah bagian dari kursus

Tipe Data dan Fungsi di Snowflake

Petunjuk latihan

Gunakan dot-notation untuk mengambil age anggota dari kolom personal_info, lalu oper nilai tersebut ke fungsi TO_NUMBER.
Gunakan bracket-notation untuk mengambil gender anggota dari personal_info.
Saring himpunan hasil agar hanya mencakup catatan untuk anggota yang berusia minimal 25 tahun.

Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

SELECT
    personal_info,
	
    -- Use the TO_NUMBER function to convert the age to a NUMBER
    TO_NUMBER(___:___),
    
    -- Use bracket-notation to retrieve the member's gender
    ___

FROM CORE_GYM.members

-- Only retrieve members who are at least 25
___ TO_NUMBER(personal_info:age) >= ___;

Edit dan Jalankan Kode

Latihan ini adalah bagian dari kursus

Tipe Data dan Fungsi di Snowflake

SkillTag.level.intermediateSkillTag.label

4.9+

Mulai Kursus Gratis

Before you can change the world using Snowflake, you need to know the type of data you'll be working with. You'll start with text data, learning to use it in queries and define columns, plus discover how to retrieve column details from any table. Then you'll master numeric data types and date/time data, understanding precision, scale, and how to convert strings to timestamps.

Exercise 1: Text data types Exercise 2: Is that text data?Exercise 3: Working out in the big city Exercise 4: Defining text data Exercise 5: Numeric data types Exercise 6: Go with the FLOAT Exercise 7: Creating a retail table Exercise 8: Datetime data types Exercise 9: Building datetime values Exercise 10: Which timezone?Exercise 11: When did you check in?

Now that you know your Snowflake data inside-and-out, it's time to manipulate and transform it. You'll begin with text data manipulation using TRIM, SPLIT, and CONCAT, then master numeric operations like arithmetic and summary measures with SUM and AVG. You'll explore timestamp transformations by extracting components like year or hours, calculating intervals between dates, and create your own custom Snowflake functions (UDFs) to implement personalized logic.

Exercise 1: Manipulating text data Exercise 2: Managing display length Exercise 3: Transforming text data Exercise 4: Motivating member marketing Exercise 5: Numeric calculations Exercise 6: Comparison operators Exercise 7: Adjusting membership prices Exercise 8: What burns more calories?Exercise 9: Manipulating datetime data Exercise 10: Breaking down a timestamp Exercise 11: How long were you at the gym?Exercise 12: Making appointments Exercise 13: User-defined functions in Snowflake Exercise 14: Creating your own Snowflake function Exercise 15: Ranking gym members by efficiency

In this final chapter, you'll crank the heat up with Snowflake's more advanced functionality. You'll start with VARIANT data types (semi-structured data), learning to parse top-level and nested data using dot-notation and bracket-notation, then master common table expressions (CTEs) by building and using multiple CTEs. Finally, you'll wrap up by creating pivoted tables using the PIVOT keyword to transform data into an easy-to-digest format, ready for reports and analysis.

Exercise 1: Meratakan Data Semi-Terstruktur Exercise 2: Mengambil data bertingkat Exercise 3: Bekerja dengan info personal

Latihan Saat Ini

Exercise 4: Menyusun deskripsi anggota gym Exercise 5: Beberapa common table expressions Exercise 6: Mengidentifikasi performer unggulan Exercise 7: Membandingkan latihan untuk anggota senior Exercise 8: Memutar Data Exercise 9: Mengevaluasi durasi latihan Exercise 10: Apakah CrossFit latihan yang populer?Exercise 11: Latihan mana yang membakar kalori paling banyak?Exercise 12: Selamat!