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
データドリブンな学校接点を高速実現! / StudySapuri Data Meetup #2 04
Search
Sponsored
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
y-hamamatsu
December 10, 2018
Technology
2.2k
1
Share
データドリブンな学校接点を高速実現! / StudySapuri Data Meetup #2 04
y-hamamatsu
December 10, 2018
Other Decks in Technology
See All in Technology
自立を加速させる神器 - EMOasis #11
stanby_inc
0
140
Rebirth of Software Craftsmanship in the AI Era
lemiorhan
PRO
4
2k
レビューしきれない?それは「全て人力でのレビュー」だからではないでしょうか
amixedcolor
0
320
実践ハーネスエンジニアリング:TAKTで実現するAIエージェント制御 / Practical Harness Engineering: AI Agent Control Enabled by TAKT
nrslib
10
4.5k
Standards et agents IA : un tour d’horizon de MCP, A2A, ADK et plus encore
glaforge
0
160
みんなの「データ活用」を支えるストレージ担当から持ち込むAWS活用/コミュニティー設計TIPS 10選~「作れる」より、「続けられる」設計へ~
yoshiki0705
0
250
データを"持てない"環境でのアノテーション基盤設計
sansantech
PRO
1
110
#jawsugyokohama 100 LT11, "My AWS Journey 2011-2026 - kwntravel"
shinichirokawano
0
350
AI時代 に増える データ活用先
takahal
0
220
AWS DevOps Agentはチームメイトになれるのか?/ Can AWS DevOps Agent become a teammate
kinunori
6
740
エージェントスキルを作って自分のインプットに役立てよう
tsubakimoto_s
0
330
Do Vibe Coding ao LLM em Produção para Busca Agêntica - TDC 2026 - Summit IA - São Paulo
jpbonson
3
110
Featured
See All Featured
End of SEO as We Know It (SMX Advanced Version)
ipullrank
3
4.1k
We Have a Design System, Now What?
morganepeng
55
8.1k
Faster Mobile Websites
deanohume
310
31k
The agentic SEO stack - context over prompts
schlessera
0
750
Six Lessons from altMBA
skipperchong
29
4.2k
Amusing Abliteration
ianozsvald
1
150
Facilitating Awesome Meetings
lara
57
6.8k
From π to Pie charts
rasagy
0
160
How to Grow Your eCommerce with AI & Automation
katarinadahlin
PRO
1
170
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
inesmontani
PRO
3
3.4k
GraphQLの誤解/rethinking-graphql
sonatard
75
12k
HDC tutorial
michielstock
2
630
Transcript
σʔλυϦϒϯͳֶߍΛߴ࣮ݱ גࣜձࣾϦΫϧʔτϚʔέςΟϯάύʔτφʔζ Ӧۀ౷ׅຊ෦ ·ͳͼྖҬ ߴߍࢧԉ౷ׅ෦ ࢧԉاը෦ ࣄۀاը(ࣄۀاը5 ᖛদ ༤ر Data
meetup #2
Agenda | 01 02 03 04 05 06 07 ࣗݾհ
ֶߍ͚αʔϏεͷհ എܠŋ՝ ղܾࡦ Ӧۀʷσʔλʹ͓͚ΔφϨοδϙΠϯτ ͳͥ͏·͍ͬͨ͘ͷ͔ʁ ͍͞͝ʹ
ࣗݾհ 01
ܦྺ ࣾձਓ̑ ֶशྖҬ cσʔλʷӦۀʷاը ࣾձਓ ࣾձਓ Ӧۀ ࣾձਓ Ϧαʔνϟʔ ৽نࣄۀ
cσʔλʷӦۀਪਐ ඒ༰ྖҬ cσʔλʷ$MJFOU8FC ཱྀߦྖҬ cσʔλʷ6*ɾ69 ཱྀߦྖҬ cσʔλʷ8FCϚʔέ ࣾձਓ ֶशྖҬ cσʔλʷӦۀ ࣾձਓ ϨδྖҬ cళฮੳ ࣄۀ՝ %BUB ʷ ֻ͚߹Θͤ ޮՌ རӹग़
ϓϩμΫτ։ൃ Ӧۀ ࣄۀ اը ࣄۀ ਪਐ ݱࡏͷࢲͷཱͪҐஔ ϓϩμΫτϚωʔδϟʔ ΤϯδχΞ Ӧۀ
ӦۀΞγελϯτ
ֶߍ͚αʔϏεͷհ 02
ʷ ελσΟαϓϦͷֶߍ༷͚αʔϏε͕͋Δ͜ͱΛ͝ଘ͡Ͱ͠ΐ͏͔ʁ ֶߍ
ʷ ੜె༷͚αʔϏε ֶߍֶ༷͚शཧγεςϜ
ʷ ੜె༷͚αʔϏε ֶߍֶ༷͚शཧγεςϜ
എܠŋ՝ 03
Ӧۀʷσʔλ ຊ ͷ σʔλυϦϒϯͳֶߍΛߴ࣮ݱʂ
σʔλυϦϒϯͳֶߍΛߴ࣮ݱʂ Ӧۀʷσʔλ ຊ ͷ
ֶߍͷ༧ࢉձٞ̍ճ ݄ ಋೖ ༧ࢉձٞ ݄ ݄
ͰӦۀஊ࣌ظҎ֎ ͳʹΛ͍ͬͯΔͷ͔ʁ ݄ ಋೖ ༧ࢉձٞ ݄ ݄
αϓϦͷ׆༻Λ௨ͨ͡ ֶߍͷ՝ղܾϑΥϩʔ ݄ ಋೖ ༧ࢉձٞ ݄ ݄
σʔλυϦϒϯͳֶߍΛߴ࣮ݱʂ Ӧۀʷσʔλ ຊ ͷ
ʹδϣΠϯͨ࣌͠ͷσʔλͷঢ়ଶ %BUBΛ͙͢ग़ͤΔ ਓ͕͍ͳ͔ͬͨ جૅΛѲ͍ͯ͠Δ ਓ͕গͳ͔ͬͨ ՄࢹԽ͞Ε͍ͯΔ %BUB͕গͳ͔ͬͨ ࢲ͕ ϓϩμΫταΠυ
ʹδϣΠϯͨ࣌͠ͷσʔλͷঢ়ଶ %BUBΛ͙͢ग़ͤΔ ਓ͕͍ͳ͔ͬͨ جૅΛѲ͍ͯ͠Δ ਓ͕গͳ͔ͬͨ ՄࢹԽ͞Ε͍ͯΔ %BUB͕গͳ͔ͬͨ ࢲ͕
ֶߍશମͷ ར༻ঢ়ଶ͕ Θ͔ΓͣΒ͍ Ͳͷઌੜ͕ ͍ͬͯΔ͔ Θ͔Βͳ͍ Ӧۀ๚ͯ͠ ฉ͍ͯΈͳ͍ͱ ׆༻ঢ়ଶΘ͔Βͳ͍
ӦۀαΠυ
ֶߍશମͷ ར༻ঢ়ଶ͕ Θ͔ΓͣΒ͍ Ͳͷઌੜ͕ ͍ͬͯΔ͔ Θ͔Βͳ͍ Ӧۀ๚ͯ͠ ฉ͍ͯΈͳ͍ͱ ׆༻ঢ়ଶΘ͔Βͳ͍
ֶߍશମͷ ར༻ঢ়ଶ͕ Θ͔ΓͣΒ͍ Ͳͷઌੜ͕ ͍ͬͯΔ͔ Θ͔Βͳ͍ Ӧۀ๚ͯ͠ ฉ͍ͯΈͳ͍ͱ ׆༻ঢ়ଶΘ͔Βͳ͍
σʔλ ׆༻࣮ ʹجͮ͘ ఏҊ͕Ͱ͖ͳ͍ঢ়ଶͩͬͨ
৽نͷ ֶߍಋೖ Ϧϐʔτ ͠ͳ͍ ผͷֶߍ ʹஊ ॱௐʹಋೖֶߍ͕ ૿͍͑ͯΔ͕ ࣍ʹϦϐʔτֶߍ͕ ͳ͔ͳ͔૿͍͔͑ͯͳ͍
Ӧۀʹͱ͍ͬͯۤ͠ʑ͕ଓ͍͍ͯͨ
ղܾࡦ 04
৽نͷ ֶߍಋೖ Ϧϐʔτ ͠ͳ͍ ผͷֶߍ ʹஊ ॱௐʹಋೖֶߍ͕ ૿͍͑ͯΔ͕ ࣍ʹϦϐʔτֶߍ͕ ͳ͔ͳ͔૿͍͔͑ͯͳ͍
Ӧۀʹͱ͍ͬͯۤ͠ʑ͕ଓ͍͍ͯͨ σʔλͰͲ͏ͬͯղܾ͢Δ͔
ֶߍશମͷ ར༻ঢ়ଶ͕ Θ͔ΓͣΒ͍ Ͳͷઌੜ͕ ͍ͬͯΔ͔ Θ͔Βͳ͍ Ӧۀ๚ͯ͠ ฉ͍ͯΈͳ͍ͱ ׆༻ঢ়ଶΘ͔Βͳ͍
ӦۀͷࢥߟͱઢʹཱͬͨσʔλετʔϦʔͱσβΠϯ ɾ σʔλΛ෦ϞχλϦϯάʹด͡ΔͷͰͳ͘ɺݱͷӦۀͷҝʹग़ྗ ɾ Ӧۀ͕࣮ࡍʮ͔Δʯʮ͑Δʯ͜ͱΛతʹɺσʔλΛετʔϦͰͭͳ͗ σβΠϯಉ࣌ʹ࠷దԽ ΦϯϥΠϯͰ࠷৽ͷঢ়ଶ͕ݟ͑ΔڥΛߴඋɻ Ӧۀ͚ͷσʔλඋˠ#*πʔϧͷඋˠ0OMJOFͰσʔλఏڙ͢ΔॳظڥΛिؒͰ্ཱͪ͛ ӦۀɺϒϥβͰ୲ֶߍͷ׆༻࠷৽ঢ়گΛऔಘͰ͖ΔΑ͏ʹ ʮઌੜͷ׆ಈใʯϨϙʔτʹՃ͢Δ͜ͱͰ
ʮઌੜͷʑͷΞΫγϣϯʯͱʮੜెͷߦಈʯͷ͕ؔɺѲՄೳʹ ʮӦۀࣗʯ͕୲ֶߍͷ׆༻ঢ়گΛ ʮͻͱͰѲͰ͖Δʯڥͷఏڙ ʮઌੜʯ͕ࣗͷߦಈͱੜెͷߦಈͷؔΛ ʮͻͱͰཧղͰ͖ΔʯϨϙʔςΟϯάʹ
ֶߍ๚࣌ʹ ઌੜͱͷίϛϡχέʔγϣϯ ͢Δҝͷπʔϧ ௨শɿ׆༻ঢ়گϨϙʔτ ֶߍ๚લʹ ֶߍͷ׆༻ঢ়گΛ Δҝͷπʔϧ ௨শɿ)BNB#PBSE
ֶߍ๚લʹ ֶߍͷ׆༻ঢ়گΛ Δҝͷπʔϧ ௨শɿ)BNB#PBSE ֶߍ๚࣌ʹ ઌੜͱͷίϛϡχέʔγϣϯ ͢Δҝͷπʔϧ
,1*ϞχλϦϯά ֶߍ׆༻࣮ ઌੜͷ׆༻ঢ়گ Ӧۀࣗͷୡঢ়گ ॓৴Ϧετ Ӧۀ͕ӾཡՄೳͳ߲
ֶߍ๚લʹ ֶߍͷ׆༻ঢ়گΛ Δҝͷπʔϧ ֶߍ๚࣌ʹ ઌੜͱͷίϛϡχέʔγϣϯ ͢Δҝͷπʔϧ ௨শɿ׆༻ঢ়گϨϙʔτ
׆ ༻ ঢ় گ
ઌੜ
ੜె
ӦۀߦಈͷޮԽ ୲ֶߍͷ׆༻ঢ়گ͕ݟ͑ΔҝɺӦۀϑΥϩʔͷཁ൱͕໌֬ʹͳΓɺ ϑΥϩʔඞཁͳֶߍΛ༏ઌͯ͠๚͢Δ͜ͱ͕Մೳ ઌੜͷ֦େ Ͳͷઌੜ͕GPS 5FBDIFSTΛݟͯ ͬͯ Β͍͑ͯΔͷ͔͕Θ͔Δҝ Ӧۀ͕ձͬͨ͜ͱ͕ͳ͍ઌੜͷΞϙΠϯτ͕ՄೳͱͳΓ ֶߍʹαϓϦΛͬͯΒ͑ΔઌੜΛ૿͢͜ͱʹޭ
ม Խ
Ӧۀ͔Βͷ Ұྫ ઌੜ͔Βͷ Ұྫ ม Խ ES8(JI#JI " C 0/
BF&( 4>APEL * ,1BF&JIVM9KTU+X(% 0/+?) &70/ ) ;W G!@(% "C(JI 2.-3 D <,1:Q (% ESAPIO5= HNR)( ?$ ' G6
ಋೖ͔ΒϦϐʔτେ෯ʹվળ
Ӧۀʷσʔλʹ͓͚ΔφϨοδϙΠϯτ 05
ৗʹϞχλϦϯάͷ׆༻ঢ়گΛϞχλϦϯά͓ͯ͘͠ ΘΕͳ͍Ϩϙʔτͷྔ࢈ԿͷՁ࢈·ͳ͍ ར༻ऀͷώΞϦϯάɾϑΟʔυόοΫͷΛઃ͚Δ ѱ͍෦ͷ์ஔར༻ऀݮʹܨ͕Δ ͷਖ਼֬ੑΛৗʹ࠷༏ઌʹ͢Δ දࣔ͞Ε͍ͯΔࣈʹ৴པ͕ݮΔͱར༻ऀݮʹͭͳ͕Δ ઃܭ؍
ใաଟʹͳΒͳ͍Α͏ʹ͢Δ ӦۀͷٻΊΔׂ͘Β͍ͷใ ใ͕ଟ͗͢ΔͱӦۀ͕ͲͷใΛ͍͍͔͑ߟ͑ͳ͍ͱ͍͚ͳ͘ͳΔ Ӧۀ͕ΫϥΠΞϯτͷ֦େʹूதͰ͖ΔΑ͏ʹɺ#*πʔϧͷӾཡ͕࣌ؒແବʹͳΒͳ͍Α͏ʹ ͲͷӦۀ༏۰͠ͳ͍ ֤άϧʔϓݸਓʹ࠷దԽ͠ͳ͍ɺશࠃڞ௨Ͱ͑ΔൣғͰͷվળɾमਖ਼ͷΈΛߦ͏ Ӧۀʹෆ৴ײΛ༩͑ͳ͍ҝʹͳͥ͜ͷɾάϥϑΛՃͨ͠ͷ͔Λ໌֬ʹ͢Δ ӦۀߦಈΛཧղ͢Δ اըΑ͕ΓͷίϯςϯπͰݱͷཉ͍͠ใͱͷဃΛൃੜͤ͞ͳ͍Α͏ʹ͢Δ ӦۀͷτʔΫεΫϦϓτͱσʔλετʔϦʔ͕Ұக͍ͯ͠Δ͔Λ֬ೝ͢Δ
Ӧۀಋೖ؍
εϐʔυՁ දݱ؆୯ͳͷͰ͍͍ ϝΠϯӦۀ اը৫؍
ࠓ͓ͨ͠ϙΠϯτ ࣮ࡍͲ͏͍͏͜ͱ͔
Ӧۀʹ Ձͷ͋Δσʔλ͚ͩΛݟͤΔ ͦͯ͠ Ӧۀ͕ݟͨΒ͙͢ཧղͰ͖Δ ͱ͍͏͜ͱ
ͦͯ͠Ӧۀʹ͍ଓ͚ͯΒ͑Δͱ ՌͷͰΔφϨοδग़Λଅਐ͠ ͞Βʹ͍͍׆༻ํ๏Λ୳͖͔͚ͬ͢ʹͳΔ
ͳͥ͏·͍ͬͨ͘ͷ͔ʁ 06
,OPXŖ)PX %P)PX φϨοδ͕͋ͬͨ ͳͥ͏·͍ͬͨ͘ͷ͔ʁ
৽نࣄۀ Ӧۀنɿਓ ख़ࣄۀ Ӧۀنɿඦਓ αϓϦͷߴߍӦۀ Ӧۀنɿதؒ
σʔλͷڝ૪༏Ґ͕͋ͬͨ ͳͥ͏·͍ͬͨ͘ͷ͔ʁ
͔͠͠ ͬͱେࣄͳͷ ϊϋͰφϨοδͰͳ͘
Ϛωδϝϯτਞɺݱ͕ σʔλ׆༻ʹੵۃత ͳͥ͏·͍ͬͨ͘ͷ͔ʁ
ചΓ্͛વॏཁ ͨͩɺͦͷઌʹ ੜెͷະདྷʹߩݙ͍ͨ͠ͱ͍͏ࢥ͍͕ ӦۀݱݱΛࢧ͑Δاը৫Ͱڧ͘ɺ σʔλΛ׆༻ͯ͠ ݱ࣮ΛΑ͍͖͍ͯͨ͘͠จԽ͕͋Δ
͍͞͝ʹ 07
ŋձͷओޠ͕ઌੜŋੜెͰ͋Δ͜ͱ ŋઌੜͷࣄΛΓɺࢧԉͰ͖Δ͜ͱ ŋੜెͷֶྗ্͕͕ͬͨͱ͍͏ઌੜͷ ࢲ͕·ͳͼྖҬͰࣄΛָ͍͍ͯͯ࣌͠͠
ࢲ͕αϓϦʷڭҭʷ%BUBͰ࣮ݱ͍ͨ͜͠ͱ ੜెͷਐ࿏࣮ݱͷҝɺઌੜŋ͕྆͝ ੜెͷʮσʔλʯΛ௨ͯ͡ ͦΕͧΕͷؔΘΔ࣌ؒͷதͰ ੜెΛཧղ͠ྭ·͢͜ͱͷͰ͖Δ ɾػձΛఏڙ͍ͨ͠ ੜెͷʮ·ͩ͜͜ʹͳ͍ग़ձ͍ʯͷͨΊʹɻ
&/% ੜెͷʮ·ͩɺ͜͜ʹͳ͍ɺग़ձ͍ʯͷͨΊʹɻ ͝੩ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠