Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
GCPではじめるスモールスタートなデータ活用
Search
Takashi Nishibayashi
September 06, 2016
Technology
3
2.8k
GCPではじめるスモールスタートなデータ活用
2016-09-06
bq_sushi #4での発表資料です
Takashi Nishibayashi
September 06, 2016
Tweet
Share
More Decks by Takashi Nishibayashi
See All by Takashi Nishibayashi
論文紹介 Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
hagino3000
0
780
論文紹介 Audience Size Forecasting Fast and Smart Budget Planning for Media Buyers
hagino3000
0
230
論文紹介 Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems
hagino3000
1
620
論文紹介 Budget Management Strategies in Repeated Auctions (公開版)
hagino3000
1
270
論文紹介 A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation
hagino3000
0
110
論文紹介 Online Experimentation with Surrogate Metrics Guidelines and a Case Study
hagino3000
0
290
論文紹介 Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising
hagino3000
0
180
論文紹介 Balancing Relevance and Discovery to Inspire Customers in the IKEA App
hagino3000
0
720
不確実性と上手く付き合う意思決定の手法
hagino3000
19
15k
Other Decks in Technology
See All in Technology
20250408 AI Agent workshop
sakana_ai
PRO
15
3.7k
2025年春に見直したい、リソース最適化の基本
sogaoh
PRO
0
470
LLM とプロンプトエンジニアリング/チューターをビルドする / LLM, Prompt Engineering and Building Tutors
ks91
PRO
1
230
Creating Awesome Change in SmartNews
martin_lover
1
260
ソフトウェア開発現代史: "LeanとDevOpsの科学"の「科学」とは何か? - DORA Report 10年の変遷を追って - #DevOpsDaysTokyo
takabow
0
360
Classmethod AI Talks(CATs) #21 司会進行スライド(2025.04.17) / classmethod-ai-talks-aka-cats_moderator-slides_vol21_2025-04-17
shinyaa31
0
520
技術者はかっこいいものだ!!~キルラキルから学んだエンジニアの生き方~
masakiokuda
2
230
От ручной разметки к LLM: как мы создавали облако тегов в Lamoda. Анастасия Ангелова, Data Scientist, Lamoda Tech
lamodatech
0
570
20250413_湘南kaggler会_音声認識で使うのってメルス・・・なんだっけ?
sugupoko
1
430
【日本Zabbixユーザー会】LLDを理解するときの勘所 〜LLDのある世界を楽しもう!〜
yoshitake945
0
130
AIと開発者の共創: エージェント時代におけるAIフレンドリーなDevOpsの実践
bicstone
1
270
アジャイル脅威モデリング#1(脅威モデリングナイト#8)
masakane55
3
180
Featured
See All Featured
Unsuck your backbone
ammeep
670
57k
RailsConf 2023
tenderlove
30
1.1k
What’s in a name? Adding method to the madness
productmarketing
PRO
22
3.4k
It's Worth the Effort
3n
184
28k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.6k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
Bash Introduction
62gerente
611
210k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
5
530
実際に使うSQLの書き方 徹底解説 / pgcon21j-tutorial
soudai
178
53k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
251
21k
A Modern Web Designer's Workflow
chriscoyier
693
190k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
227
22k
Transcript
1 GCPͰ͡ΊΔ εϞʔϧελʔτͳσʔλ׆༻ #bq_sushi ver. bq_sushi #4 2016-09-06 Takashi Nishibayashi
2 Takashi Nishibayashi Software Engineer Zucks AdNetwork, Zucks Inc. Data
analysis team ݱࡏ৴ޮͷ࠷దԽ ೖࡳՁ֨ࣗಈௐϩδοΫɺ৴αʔ όʔͷࠂબϩδοΫͷ։ൃʹैࣄ @hagino3000
3 3 ͜ΕԿ͔ ಉͷGCP NEXT TOKYOͷࣄྫհηογϣ ϯͰൃදͨ͠༰ͷॖখ൛Ͱ͢
4 4 Zucks AdNetwork ͷσʔλ׆༻ͷมભ
5 5 5 ϓϩδΣΫτ։࢝࣌ͷཧͱݱ࣮
6 6 6 ࢦ͢ॴ(Ծ) ࠂ৴αʔόʔͰΠϯϓϨογϣϯຖʹػցֶशϞσϧʹΑΔίϯ όʔδϣϯ༧ଌɺΫϦοΫ༧ଌΛߦͳ͍৴ޮΛΞοϓ ݱ࣮ େྔͷϩάϑΝΠϧ͕༷ʑͳϑΥʔϚοτͰAWS S3ʹஔ͔Ε͍ͯΔ ϚελσʔλMySQLʹ֨ೲ͞Ε͍ͯΔ
Elastic SearchʹೖͬͯΔͷۙ2िؒ
7 7 7
8 8 8 ͍͖ͳΓ౸ୡͰ͖ͳ͍
9 1ظ: ·ͣσʔλαΠΤϯςΟετ͕ར༻Ͱ͖ΔΑ͏ʹ ü ωοτࠂۀքͰػցֶश͕ྲྀߦ͍ͬͯΔͱ͍͑ɺࣗαʔϏεͷ σʔλͰͦΕ͕Մೳͳͷ͔ݕূ͍ͨ͠ ü ࣮ݧԾઆݕূͷͨΊʹਓ͕ؒσʔλΛखܰʹར༻͍ͨ͠ ü ݶΒΕͨਓ͕ؒΫΤϦूܭΛ࣮ߦͰ͖Εྑ͍
ü ඦϛϦඵͷԠੑೳٻΊͳ͍ ü σʔλετΞͷཧʹख͕͔͔ؒΒͳ͍ࣄ͕ॏཁ ü σʔλྔ 600GByte/day ఔ͕ͩɺ·ͩ·ͩ૿͑ͦ͏
10 1ظ: ·ͣσʔλαΠΤϯςΟετ͕ར༻Ͱ͖ΔΑ͏ʹ ² ࠂͷ৴ϩάΛBigQueryʹྲྀ͠ࠐΜͩ ² MySQLͷϚελσʔλBigQueryʹಉظ ² WebUIPandasɺBigQuery Pythonܦ༝Ͱར༻
² BigQueryͰαϒαϯϓϦϯάͯ͠ϩʔΧϧϚγϯͰֶश ² AWS EMRୀ ² Elastic Searchୀ ² Cloud Datalab betaʹඈͼ͍ͭͯരࢮ (20161݄)
11 2ظ: όονॲཧ͔Βར༻Ͱ͖ΔΑ͏ʹ ü ܧଓతʹճ͍࣮ͨ͠ݧɺ༧ଌॲཧͷόονΛcronͰΒ͍ͤͨ ü ੳλεΫʹݶΒͣɺ৴γεςϜଆͷόονॲཧ͍͍ͨ ü ػೳຖͷ༻ঢ়گ(ΫΤϦίετ)Ѳ͍ͨ͠
12 2ظ: όονॲཧ͔Βར༻Ͱ͖ΔΑ͏ʹ ² CloudLoggingͷઃఆͰBigQueryͷࠪϩάΛBigQueryʹΤΫεϙʔτ ² ػೳຖʹαʔϏεΞΧϯτΛ͍ग़ͯ͠ɺ༻ঢ়گΛѲ ² ίετ͕ͶͨΒ௨ ²
ೖࡳ୯Ձࣗಈௐόονɺෆਖ਼ΫϦοΫఆόον͕Քಈ ² ϧʔϧϕʔεɺҟৗݕϕʔεͷࣝผλεΫSQLͰॻ͚Δ ² ࣮ݧ݁ՌCloud Storage/BigQueryʹอଘ
13
14
15 Audit Logͷ༻్ ² ػೳຖͷΫΤϦίετ ² ຖͷΫΤϦίετ ² ςετ༻ͷςʔϒϧ࡞ऀௐࠪ ²
ΘΕ͍ͯͳ͍ςʔϒϧௐࠪ
16 3ظ: ͯ͢ͷ৬छͷϝϯόʔ͕σʔλΛར༻Ͱ͖ΔΑ͏ʹ ü ఆܕͷௐࠪλεΫΤϯδχΞ๊͕͑ͨ͘ͳ͍ ü ίετ͕രൃ͠ͳ͍Α͏ʹར༻ऀΛ૿͍ͨ͠ ü SQLॻ͚Δਓ͕૿͑Δͱྑ͍ײ͡ʹͳΔͷͰ
17 3ظ: ͯ͢ͷ৬छͷϝϯόʔ͕σʔλΛར༻Ͱ͖ΔΑ͏ʹ ² re:dashͰΫΤϦͰ͖ΔΑ͏ʹͨ͠ ² ΤϯδχΞ͕ཁΛݩʹςϯϓϨʔτͷΫΤϦΛ࡞ ² Ϩϙʔτը໘ͷϓϩτλΠϓʹ ²
ΫΤϦ୯ҐͷίετϦϛοτઃఆ(re:dashͷػೳ)ͰߴֹΫΤϦ࣮ߦ Λࢭ
18 ཁٻ͞ΕΔσʔλ࣭ϨϕϧมΘΔ ü Ϣʔεέʔε͕૿͑Δͱσʔλ࣭͕՝ʹ ü 23࣌ͷϩάऔΓࠐΈ͕ऴͬͨޙʹॲཧΛΒ͍ͤͨΜ͚ͩͲ? ² Stream Insert, Batch
Insert, ΫΤϦશͯϦτϥΠػߏඞਢ ² ݄ʹ1BigQueryͷௐࢠͷѱ͍͕͋Δ ² σʔλͷऔΓࠐΈ࿙ΕɺॏෳऔΓࠐΈνΣοΫͷόονΛՔಇ ² σʔλͷऔΓࠐΈঢ়گ͕֎෦͔Β֬ೝͰ͖ΔΈ
19 ෭࣍తՌ • ΤϯδχΞ͕͍ͭͰ৴ϩάͷௐ͕ࠪՄೳʹ • MySQLͰѻ͑ͳ͔ͬͨαΠζͷσʔλΛݩʹͨ͠ҙࢥܾఆ͕Մೳʹ • ༷ʑͳόονॲཧ͕σʔλΛར༻Մೳʹ • SQLΛॻ͚ͩ͘ͰϨϙʔτ͕ࣗ༝ʹ࡞Մೳʹ
• ϓϩδΣΫτͷϝϯόʔશһ͕σʔλʹΞΫηεՄೳʹ
20 ͦͷଞ • ΦϯϥΠϯͰσʔλΛࢀর͢ΔΑ͏ͳॲཧʹBigQuery͔ͳ͍ • Key-ValueͰҾ͚ΔΑ͏ʹͯ͠BigtableΛͬͨํ͕͍͍ • BigQueryͷલʹΩϟογϡϨΠϠΛ༻ҙ͢Δࣄྫ • Cloud
Dataproc or Cloud Dataflow…… • SpotifySparkෳࡶ͗ͯ͑͢ͳ͍ͱͷࣄͰDataflowΛscala͔Βར༻ • https://github.com/spotify/scio • Cloud Datalab͕৽͘͠ͳͬͨͦ͏ͳͷͰظ • Jupyter NotebookͷΫϥυ൛
21 ·ͱΊ • ͍͖ͳΓ͍͠ॴΛૂ͏ͱՌ͕ग़Δ·Ͱ͕͔͔࣌ؒΔͨΊɺͳΒ͠Λ͠ ͳ͕Βσʔλ׆༻ΛਐΊ͍ͯΔ • SQLͰهड़Ͱ͖Δϧʔϧϕʔεҟৗݕϕʔεͷॲཧػցֶशͱൺֱ͢ Δͱૣ͘Ռ͕ग़ͤΔ • Cloud
Storage, Cloud Logging, Cloud Dataprocͱͷ࿈ܞ͕ڧԽ͞Εɺ BigQueryͷϢʔεέʔε͕૿͑ͨ • ඦmsecͷԠੑೳɺಉ࣌ΫΤϦ࣮ߦɺ҆ఆੑΛٻΊͳ͚ΕBigQuery Ϧʔζφϒϧʹ͑Δ
22 ิ BigQueryͰ౷ܭྔΛग़࣌͢ʹ͏ΫΤϦϝϞ http://qiita.com/hagino3000/items/e9ed62638ebe54391188
23 23 Thank You