{"id":327,"date":"2023-04-10T23:59:45","date_gmt":"2023-04-10T14:59:45","guid":{"rendered":"https:\/\/www.kuix.co.jp\/da-sys\/?p=327"},"modified":"2023-08-29T19:52:30","modified_gmt":"2023-08-29T10:52:30","slug":"python%e3%81%a7bigquery%e3%81%b8%e3%81%ae%e3%82%a2%e3%82%af%e3%82%bb%e3%82%b9%e3%80%81%e3%83%87%e3%83%bc%e3%82%bf%e6%93%8d%e4%bd%9c%e3%82%92%e8%a1%8c%e3%81%86%e6%96%b9%e6%b3%95","status":"publish","type":"post","link":"https:\/\/www.kuix.co.jp\/da-sys\/?p=327","title":{"rendered":"Python\u3067BigQuery\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3001\u30c7\u30fc\u30bf\u64cd\u4f5c\u3092\u884c\u3046\u65b9\u6cd5"},"content":{"rendered":"\n
\n

BigQuery\u3092DWH\u3068\u3057\u3066\u6d3b\u7528\u3059\u308b\u5834\u5408\u3001<\/strong><\/p>\n\n\n\n

\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3084\u30d0\u30c3\u30c1\u30d7\u30ed\u30b0\u30e9\u30e0\u304b\u3089BigQuery\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3066\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u51fa\u3057\u305f\u308a\u3001\u66f4\u65b0\u3092\u884c\u3048\u305f\u3089\u4fbf\u5229\u3067\u3059\u3088\u306d\u3002<\/strong><\/p>\n<\/div>\n\n\n\n

\u672c\u8a18\u4e8b\u3067\u306f\u7279\u306b\u5206\u6790\u7528\u9014\u3068\u3057\u3066\u7528\u3044\u3089\u308c\u308b\u3053\u3068\u304c\u591a\u3044\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9ePython\u304b\u3089BigQuery\u3092\u64cd\u4f5c\u3059\u308b\u65b9\u6cd5\u3092\u3054\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

BigQuery API\u306e\u6709\u52b9\u5316<\/h2>\n\n\n\n

\u307e\u305a\u306fGoogle Cloud\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u4e0a\u3067BigQuery API\u3092\u4f7f\u3048\u308b\u3088\u3046\u306b\u6709\u52b9\u5316\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\n

Google Cloud\u30d7\u30ed\u30b8\u30a7\u30af\u30c8 > API\u3068\u30b5\u30fc\u30d3\u30b9 > \u30e9\u30a4\u30d6\u30e9\u30ea<\/p>\n\n\n\n

\u3088\u308a\u3001BigQuery\u3068\u691c\u7d22\u3059\u308b\u3068\u3001BigQuery API\u304c\u8868\u793a\u3055\u308c\u308b\u306e\u3067\u3001\u300c\u6709\u52b9\u306b\u3059\u308b\u300d\u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u6709\u52b9\u5316\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n\n\n\n

\u8a8d\u8a3c\u7528\u306e\u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8\u306e\u4f5c\u6210<\/h2>\n\n\n\n

BigQuery\u8a8d\u8a3c\u7528\u306e\u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\u30e6\u30fc\u30b6\u30fc\u30a2\u30ab\u30a6\u30f3\u30c8\u3067\u306e\u8a8d\u8a3c\u3082\u53ef\u80fd\u3067\u3059\u304c\u3001\u5b9a\u671f\u7684\u306b\u30d6\u30e9\u30a6\u30b6\u3067\u306e\u518d\u8a8d\u8a3c\u304c\u5fc5\u8981\u3068\u306a\u308a\u3001\u30d0\u30c3\u30c1\u30d7\u30ed\u30b0\u30e9\u30e0\u306a\u3069\u30af\u30e9\u30a6\u30c9\u4e0a\u3067\u306e\u5b9f\u884c\u306b\u5411\u3044\u3066\u3044\u306a\u3044\u305f\u3081\u3001\u4eca\u56de\u306f\u6700\u3082\u30e1\u30b8\u30e3\u30fc\u306a\u8a8d\u8a3c\u65b9\u6cd5\u3067\u3042\u308b\u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8\u3067\u306e\u8a8d\u8a3c\u306e\u624b\u9806\u3092\u3054\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\n

\u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8\u306f\u3001IAM\u3068\u7ba1\u7406 > \u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8 > \u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8\u306e\u4f5c\u6210<\/p>\n\n\n\n

\u3088\u308a\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/div>\n\n\n\n

\u4ed8\u4e0e\u3059\u308bIAM\u306e\u30ed\u30fc\u30eb\u3068\u3057\u3066\u3001\u4f8b\u3048\u3070\u300cBigQuery\u30b8\u30e7\u30d6\u30e6\u30fc\u30b6\u30fc\u300d\u3001\u300cBigQuery\u30c7\u30fc\u30bf\u30aa\u30fc\u30ca\u30fc\u300d\u3092\u4ed8\u4e0e\u3057\u3066\u3001\u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8\u306bBigQuery\u3092\u64cd\u4f5c\u3059\u308b\u6a29\u9650\u3092\u4e0e\u3048\u3066\u304a\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n

\n

\u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8\u306e\u8a73\u7d30\u30da\u30fc\u30b8\u306e\u3001\u30ad\u30fc > \u9375\u3092\u8ffd\u52a0\u3000\u3088\u308aJSON\u5f62\u5f0f\u306e\u9375\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3002\u9375\u30d5\u30a1\u30a4\u30eb\u306f\u4efb\u610f\u306e\u5834\u6240\u306b\u4fdd\u5b58\u3057\u3001\u5916\u90e8\u306e\u4eba\u9593\u304c\u30a2\u30af\u30bb\u30b9\u3067\u304d\u306a\u3044\u3088\u3046\u306b\u6ce8\u610f\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<\/div>\n\n\n\n

google-cloud-bigquery\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h2>\n\n\n\n

\u6b21\u306bPython\u4e0a\u3067BigQuery\u3092\u64cd\u4f5c\u3059\u308b\u305f\u3081\u306e\u30e9\u30a4\u30d6\u30e9\u30eagoogle-cloud-bigquery\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\n

Python\u306fPython3\u3001Anaconda\u306a\u3069\u306ePython3\u74b0\u5883\u3092\u6e96\u5099\u3057\u3066\u304a\u304d\u307e\u3057\u3087\u3046\u3002<\/p>\n\n\n\n

$ pip install google-cloud-bigquery<\/p>\n<\/div>\n\n\n\n

Python\u3067BigQuery\u3092\u64cd\u4f5c\u3059\u308b<\/h2>\n\n\n\n

\u8a8d\u8a3c\u7528\u30a2\u30ab\u30a6\u30f3\u30c8\u3068BigQuery\u3092\u64cd\u4f5c\u3059\u308b\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u6e96\u5099\u3067\u304d\u305f\u306e\u3067\u3001\u5b9f\u969b\u306bPython\u3067BigQuery\u3092\u64cd\u4f5c\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u3054\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

BigQuery\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306e\u4f5c\u6210<\/h3>\n\n\n\n

Python\u4e0a\u3067BigQuery\u3092\u64cd\u4f5c\u3059\u308b\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u306b\u306f\u3001GOOGLE_APPLICATION_CREDENTIALS\u3068\u3044\u3046\u74b0\u5883\u5909\u6570\u306b\u5148\u307b\u3069\u4f5c\u6210\u3057\u305f\u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8\u306e\u9375\u30d5\u30a1\u30a4\u30eb\u3092\u6307\u5b9a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\n

\u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8\u306e\u9375\u30d5\u30a1\u30a4\u30eb\u306f\u30d7\u30ed\u30b0\u30e9\u30e0\u3068\u540c\u968e\u5c64\u306e\u30d5\u30a9\u30eb\u30c0\u5185\u306b\u683c\u7d0d\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

import os<\/p>\n\n\n\n

os.environ[‘GOOGLE_APPLICATION_CREDENTIALS’] = “xxx.json”<\/p>\n<\/div>\n\n\n\n

\n

\u6b21\u306b\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002\uff08xxx\u306b\u306fBigQuery API\u3092\u6709\u52b9\u5316\u3057\u305f\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u540d\u304c\u5165\u308a\u307e\u3059\u3002\uff09<\/p>\n\n\n\n

from google.cloud import BigQuery<\/p>\n\n\n\n

client = bigquery.Client(project=”xxx”)<\/p>\n<\/div>\n\n\n\n

\u3053\u308c\u3067\u6307\u5b9a\u3057\u305f\u30b5\u30fc\u30d3\u30b9\u30a2\u30ab\u30a6\u30f3\u30c8\u306b\u3088\u308bBigQuery\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u304c\u4f5c\u6210\u3067\u304d\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

BigQuery\u306b\u65b0\u3057\u3044\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210<\/h3>\n\n\n\n
\n

BigQuery\u306b\u65b0\u3057\u3044\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3059\u308b\u306b\u306f\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u66f8\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

client\u306f\u524d\u8ff0\u3057\u305fBigQuery\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u3067\u3059\u3002<\/p>\n<\/div>\n\n\n\n

from google.cloud import bigquery<\/p>\n\n\n\n

\n

# \u30c6\u30fc\u30d6\u30eb\u30b9\u30ad\u30fc\u30de\u3092\u5b9a\u7fa9\u3059\u308b<\/p>\n\n\n\n

schema = [<\/p>\n\n\n\n

bigquery.SchemaField(“id”, “STRING”, mode=”REQUIRED”),<\/p>\n\n\n\n

bigquery.SchemaField(“name”, “STRING”, mode=”REQUIRED”),<\/p>\n\n\n\n

bigquery.SchemaField(“age”, “INTEGER”, mode=”REQUIRED”),<\/p>\n\n\n\n

]<\/p>\n<\/div>\n\n\n\n

\n

# \u65b0\u3057\u3044\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u3059\u308b<\/p>\n\n\n\n

table_id = “my_dataset.my_table”<\/p>\n\n\n\n

table = bigquery.Table(table_id, schema=schema)<\/p>\n\n\n\n

table = client.create_table(table) # \u30c6\u30fc\u30d6\u30eb\u304c\u65e2\u306b\u5b58\u5728\u3059\u308b\u5834\u5408\u306f\u4f8b\u5916\u304c\u767a\u751f\u3059\u308b<\/p>\n\n\n\n

print(f”Created table {table_id}”)<\/p>\n<\/div>\n\n\n\n

BigQuery\u306b\u30af\u30a8\u30ea\u3092\u5b9f\u884c\u3057\u3066\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3080<\/h3>\n\n\n\n
\n

BigQuery\u306b\u30af\u30a8\u30ea\u3092\u5b9f\u884c\u3059\u308b\u306b\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b3\u30fc\u30c9\u3092\u66f8\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

SELECT\u6587\u3067\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u53d6\u308b\u4ee5\u5916\u306b\u3082UPDATE\u3084DELETE\u306a\u3069\u66f4\u65b0\u51e6\u7406\u3082\u53ef\u80fd\u3067\u3059\u3002<\/p>\n<\/div>\n\n\n\n

from google.cloud import bigquery<\/p>\n\n\n\n

\n

# \u30af\u30a8\u30ea\u3092\u5b9a\u7fa9\u3059\u308b<\/p>\n\n\n\n

query = “””<\/p>\n\n\n\n

SELECT *<\/p>\n\n\n\n

FROM my_dataset.my_table<\/p>\n\n\n\n

WHERE age >= 18<\/p>\n\n\n\n

“””<\/p>\n<\/div>\n\n\n\n

\n

# \u30af\u30a8\u30ea\u3092\u5b9f\u884c\u3059\u308b<\/p>\n\n\n\n

query_job = client.query(query)<\/p>\n<\/div>\n\n\n\n

\n

# \u30af\u30a8\u30ea\u7d50\u679c\u3092\u51e6\u7406\u3059\u308b<\/p>\n\n\n\n

for row in query_job:<\/p>\n\n\n\n

print(row)<\/p>\n<\/div>\n\n\n\n

BigQuery\u306b\u30c7\u30fc\u30bf\u3092\u66f8\u304d\u8fbc\u3080<\/h3>\n\n\n\n

BigQuery\u306b\u30c7\u30fc\u30bf\u3092\u66f8\u304d\u8fbc\u3080\u306b\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b3\u30fc\u30c9\u3092\u66f8\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

from google.cloud import bigquery<\/p>\n\n\n\n

\n

# \u30c7\u30fc\u30bf\u3092\u5b9a\u7fa9\u3059\u308b<\/p>\n\n\n\n

rows_to_insert = [<\/p>\n\n\n\n

(“1”, “Alice”, 25),<\/p>\n\n\n\n

(“2”, “Bob”, 30),<\/p>\n\n\n\n

(“3”, “Charlie”, 35),<\/p>\n\n\n\n

]<\/p>\n<\/div>\n\n\n\n

\n

# \u30c7\u30fc\u30bf\u3092\u66f8\u304d\u8fbc\u3080<\/p>\n\n\n\n

table_id = “my_dataset.my_table”<\/p>\n\n\n\n

table = client.get_table(table_id)<\/p>\n\n\n\n

errors = client.insert_rows(table, rows_to_insert) # \u66f8\u304d\u8fbc\u307f\u306b\u5931\u6557\u3057\u305f\u5834\u5408\u306f\u30a8\u30e9\u30fc\u304c\u8fd4\u3055\u308c\u308b<\/p>\n\n\n\n

if errors == []:<\/p>\n\n\n\n

print(“Rows inserted successfully.”)<\/p>\n\n\n\n

else:<\/p>\n\n\n\n

print(“Error inserting rows:”, errors)<\/p>\n<\/div>\n\n\n\n

BigQuery\u306e\u30c6\u30fc\u30d6\u30eb\u304b\u3089\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3093\u3067Pandas\u306eDataFrame\u306b\u5909\u63db\u3059\u308b<\/h3>\n\n\n\n

\u7d9a\u3051\u3066\u5fdc\u7528\u4f8b\u3067\u3059\u304c\u3001BigQuery\u306e\u30c7\u30fc\u30bf\u3092Pandas\u306eDataFrame\u3067\u89e3\u6790\u7528\u306b\u52a0\u5de5\u3057\u305f\u3044\u5834\u5408\u306f\u3001\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3067BigQuery\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u3066DataFrame\u5f62\u5f0f\u306b\u683c\u7d0d\u3067\u304d\u307e\u3059\u3002\u30d7\u30ed\u30b0\u30e9\u30e0\u4e0a\u3067\u30b9\u30e0\u30fc\u30ba\u306b\u52a0\u5de5\u51e6\u7406\u304c\u884c\u3048\u308b\u3088\u3046\u306b\u306a\u308b\u305f\u3081\u3001\u975e\u5e38\u306b\u4fbf\u5229\u3067\u3059\u3002<\/p>\n\n\n\n

\n

from google.cloud import bigquery<\/p>\n\n\n\n

import pandas as pd<\/p>\n<\/div>\n\n\n\n

\n

# \u30af\u30a8\u30ea\u3092\u5b9a\u7fa9\u3059\u308b<\/p>\n\n\n\n

query = “””<\/p>\n\n\n\n

SELECT *<\/p>\n\n\n\n

FROM my_dataset.my_table<\/p>\n\n\n\n

“””<\/p>\n<\/div>\n\n\n\n

\n

# \u30af\u30a8\u30ea\u3092\u5b9f\u884c\u3057\u3066\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b<\/p>\n\n\n\n

query_job = client.query(query)<\/p>\n\n\n\n

results = query_job.result()<\/p>\n<\/div>\n\n\n\n

\n

# \u7d50\u679c\u3092Pandas\u306eDataFrame\u306b\u5909\u63db\u3059\u308b<\/p>\n\n\n\n

df = pd.DataFrame(<\/p>\n\n\n\n

[(row[“id”], row[“name”], row[“age”]) for row in results],<\/p>\n\n\n\n

columns=[“id”, “name”, “age”],<\/p>\n\n\n\n

)<\/p>\n\n\n\n

print(df.head())<\/p>\n<\/div>\n\n\n\n

BigQuery\u306e\u30c6\u30fc\u30d6\u30eb\u304b\u3089\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3093\u3067CSV\u30d5\u30a1\u30a4\u30eb\u3068\u3057\u3066\u51fa\u529b\u3059\u308b<\/h3>\n\n\n\n
\n

BigQuery\u306e\u30c6\u30fc\u30d6\u30eb\u304b\u3089\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u8fbc\u3093\u3067CSV\u30d5\u30a1\u30a4\u30eb\u3068\u3057\u3066\u51fa\u529b\u3059\u308b\u306b\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b3\u30fc\u30c9\u3092\u66f8\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

BigQuery\u306e\u30b3\u30f3\u30bd\u30fc\u30eb\u753b\u9762\u304b\u3089CSV\u30d5\u30a1\u30a4\u30eb\u3092\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u3059\u308b\u306e\u3068\u540c\u3058\u8981\u9818\u3067\u30d7\u30ed\u30b0\u30e9\u30e0\u4e0a\u3067\u3082\u5b9f\u73fe\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/div>\n\n\n\n

\n

from google.cloud import bigquery<\/p>\n\n\n\n

import csv<\/p>\n<\/div>\n\n\n\n

\n

# \u30af\u30a8\u30ea\u3092\u5b9a\u7fa9\u3059\u308b<\/p>\n\n\n\n

query = “””<\/p>\n\n\n\n

SELECT *<\/p>\n\n\n\n

FROM my_dataset.my_table<\/p>\n\n\n\n

“””<\/p>\n<\/div>\n\n\n\n

\n

# \u30af\u30a8\u30ea\u3092\u5b9f\u884c\u3057\u3066\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b<\/p>\n\n\n\n

query_job = client.query(query)<\/p>\n\n\n\n

results = query_job.result()<\/p>\n<\/div>\n\n\n\n

\n

# \u7d50\u679c\u3092CSV\u30d5\u30a1\u30a4\u30eb\u306b\u66f8\u304d\u8fbc\u3080<\/p>\n\n\n\n

with open(“output.csv”, “w”, newline=””) as csvfile:<\/p>\n\n\n\n

writer = csv.writer(csvfile)<\/p>\n\n\n\n

writer.writerow([“id”, “name”, “age”])<\/p>\n\n\n\n

for row in results:<\/p>\n\n\n\n

writer.writerow([row[“id”], row[“name”], row[“age”]])<\/p>\n\n\n\n

print(“Data written to output.csv.”)<\/p>\n<\/div>\n\n\n\n

\u307e\u3068\u3081<\/h2>\n\n\n\n

Python\u3067BigQuery\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3001\u30c7\u30fc\u30bf\u64cd\u4f5c\u3092\u884c\u3046\u65b9\u6cd5\u306b\u3064\u3044\u3066\u304a\u8a71\u3057\u307e\u3057\u305f\u304c\u3044\u304b\u304c\u3067\u3057\u305f\u3067\u3057\u3087\u3046\u304b\u3002<\/p>\n\n\n\n

\u3054\u7d39\u4ecb\u3057\u305f\u3088\u3046\u306bPython\u304b\u3089\u306e\u30c7\u30fc\u30bf\u306e\u64cd\u4f5c\u306f\u3082\u3061\u308d\u3093\u3001Pandas\u3092\u5229\u7528\u3057\u3066\u30c7\u30fc\u30bf\u306e\u52a0\u5de5\u3084\u7d71\u5408\u51e6\u7406\u307e\u3067\u884c\u3048\u308b\u305f\u3081\u3001\u30b5\u30fc\u30d0\u30ec\u30b9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306eCloud Functions\u306a\u3069\u306e\u30b5\u30fc\u30d3\u30b9\u3092\u30a4\u30f3\u30d5\u30e9\u3068\u3057\u3066\u4f7f\u3048\u3070\u3001ETL\u51e6\u7406\u3092Google Cloud\u306e\u30b5\u30fc\u30d3\u30b9\u4e0a\u3067\u81ea\u52d5\u5316\u3059\u308b\u3053\u3068\u3082\u53ef\u80fd\u3068\u3001\u304b\u306a\u308a\u6c4e\u7528\u7684\u306bBigQuery\u3092\u6d3b\u7528\u3057\u3066\u3044\u305f\u3060\u3051\u307e\u3059\u3002<\/p>\n\n\n\n

\u682a\u5f0f\u4f1a\u793eKUIX\u3067\u306f\u305f\u3060\u5c0e\u5165\u30fb\u958b\u767a\u3059\u308b\u3060\u3051\u3067\u306a\u304f\u3001\u5c0e\u5165\u5f8c\u306e\u5229\u6d3b\u7528\u3092\u5b9f\u73fe\u3059\u308b\u3053\u3068\u306b\u7740\u773c\u3057\u305f\u3001BI\u30c4\u30fc\u30eb\u306e\u9078\u5b9a\u30fb\u5c0e\u5165\u304b\u3089\u30ec\u30dd\u30fc\u30c8\u4f5c\u6210\u3001\u904b\u7528\u3001\u5553\u8499\u30fb\u5c55\u958b\u307e\u3067\u30c8\u30fc\u30bf\u30eb\u306e\u30b3\u30f3\u30b5\u30eb\u30c6\u30fc\u30b7\u30e7\u30f3\u306a\u3069\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\n

\u300cBigQuery\/BI\u30c4\u30fc\u30eb\u3092\u5c0e\u5165\u3057\u305f\u3044\u300d<\/strong><\/p>\n\n\n\n

\u300c\u3059\u3067\u306b\u5c0e\u5165\u3057\u3066\u3044\u308b\u304c\u30c7\u30fc\u30bf\u6d3b\u7528\u3001\u5c55\u958b\u304c\u9032\u3093\u3067\u3044\u306a\u3044\u300d\u306a\u3069<\/strong><\/p>\n<\/div>\n\n\n\n

\u304a\u56f0\u308a\u306e\u65b9\u306f\u3001\u305c\u3072\u304a\u6c17\u8efd\u306b\u3054\u9023\u7d61\u304f\u3060\u3055\u3044\uff01\u304a\u554f\u3044\u5408\u308f\u305b\u306f\u3053\u3061\u3089\u304b\u3089<\/a><\/p>\n\n\n\n

BigQuery\u306eSQL\u30c1\u30fc\u30c8\u30b7\u30fc\u30c8<\/strong>\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/a><\/p>\n\n\n

\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t
\"\"<\/figure><\/div>\t\t\t\t\t
\n\t\t\t\t\t\tBigQuery\u3068\u306f\uff1f\u3067\u304d\u308b\u3053\u3068\u3084\u6d3b\u7528\u4e8b\u4f8b\u3092\u308f\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\uff01<\/a>\n\t\t\t\t\t\t\u300c\u69d8\u3005\u306a\u7d4c\u55b6\u30c7\u30fc\u30bf\u3092\u53ef\u8996\u5316\u3057\u3066\u30c7\u30fc\u30bf\u30c9\u30ea\u30d6\u30f3\u306a\u7d4c\u55b6\u3092\u884c\u304a\u3046\uff01\u300d \u3068\u3044\u3046\u6628\u4eca\u306eDX\u63a8\u9032\u306e\u6d41\u308c\u306e\u4e2d\u3067\u3001\u5b9f\u969b\u306b\u3069\u306e\u30c7\u30fc\u30bf\u57fa\u76e4\u306b\u793e\u5185\u306e\u30c7\u30fc\u30bf\u3092\u96c6\u7d04\u3059\u308b\u304b\u60a9\u307e\u308c\u305f\u3054\u7d4c\u9a13\u306f…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n
\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t
\"\"<\/figure><\/div>\t\t\t\t\t
\n\t\t\t\t\t\tBigQuery\u306eSQL\u306e\u57fa\u672c\u3068\u3059\u3050\u306b\u4f7f\u3048\u308b\u30c1\u30fc\u30c8\u30b7\u30fc\u30c8\u3092\u3054\u7d39\u4ecb\uff01<\/a>\n\t\t\t\t\t\tBigQuery\u3092\u5c0e\u5165\u3057\u3066\u30c7\u30fc\u30bf\u306e\u84c4\u7a4d\u3092\u59cb\u3081\u305f\u306e\u306b\u3001\u5206\u6790\u8a00\u8a9e\u306eSQL\u304c\u3044\u307e\u3044\u3061\u308f\u304b\u3089\u306a\u3044 \u3068\u304a\u60a9\u307f\u306e\u65b9\u306f\u591a\u3044\u306e\u3067\u306f\u306a\u3044\u3067\u3057\u3087\u3046\u304b\u3002 SQL\u306f\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u672a\u5c65\u4fee\u306e\u30de\u30fc\u30b1\u30bf\u30fc…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\n
\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t\u3042\u308f\u305b\u3066\u8aad\u307f\u305f\u3044<\/span>\n\t\t\t\t\t
\"\"<\/figure><\/div>\t\t\t\t\t
\n\t\t\t\t\t\tBigQuery\u306eIF\u6587\u306b\u3088\u308b\u6761\u4ef6\u5206\u5c90\u3084\u30c8\u30e9\u30f3\u30b6\u30af\u30b7\u30e7\u30f3\u51e6\u7406\u3092\u89e3\u8aac\uff01<\/a>\n\t\t\t\t\t\tBigQuery\u306eSQL\u3067\u3001IF\u6587\u306b\u3088\u308b\u6761\u4ef6\u5206\u5c90\u306a\u3069\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u3088\u3046\u306a\u51e6\u7406\u304c\u3067\u304d\u305f\u3089\u4fbf\u5229\u3067\u3059\u3088\u306d\u3002 \u672c\u8a18\u4e8b\u3067\u306f\u3001IF\u6587\u3084CASE\u5f0f\u306b\u3088\u308a\u6761\u4ef6\u5206\u5c90\u3092\u3059\u308b\u65b9\u6cd5\u3068\u3001\u8907\u6570\u306e\u30af\u30a8\u30ea\u3092\u30c8\u30e9…<\/span>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>","protected":false},"excerpt":{"rendered":"

BigQuery\u3092DWH\u3068\u3057\u3066\u6d3b\u7528\u3059\u308b\u5834\u5408\u3001 \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3084\u30d0\u30c3\u30c1\u30d7\u30ed\u30b0\u30e9\u30e0\u304b\u3089BigQuery\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3066\u30c7\u30fc\u30bf\u3092\u53d6\u308a\u51fa\u3057\u305f\u308a\u3001\u66f4\u65b0\u3092\u884c\u3048\u305f\u3089\u4fbf\u5229\u3067\u3059\u3088\u306d\u3002 \u672c\u8a18\u4e8b\u3067\u306f\u7279\u306b\u5206\u6790\u7528\u9014\u3068\u3057\u3066\u7528\u3044\u3089\u308c\u308b\u3053\u3068\u304c\u591a\u3044\u30d7\u30ed\u30b0 […]<\/p>\n","protected":false},"author":5,"featured_media":328,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"swell_btn_cv_data":"","footnotes":""},"categories":[7],"tags":[],"_links":{"self":[{"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=\/wp\/v2\/posts\/327"}],"collection":[{"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=327"}],"version-history":[{"count":6,"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=\/wp\/v2\/posts\/327\/revisions"}],"predecessor-version":[{"id":1177,"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=\/wp\/v2\/posts\/327\/revisions\/1177"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=\/wp\/v2\/media\/328"}],"wp:attachment":[{"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=327"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=327"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kuix.co.jp\/da-sys\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=327"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}