Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
日系大手と日系スタートアップと外資系で働いてみた
Search
yush1ga
March 06, 2024
880
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
日系大手と日系スタートアップと外資系で働いてみた
LT資料
https://findy.connpass.com/event/310652/
yush1ga
March 06, 2024
More Decks by yush1ga
See All by yush1ga
ロジスティック回帰で お金もらえるし職務経歴書は倍になる
yush1ga
1
3.2k
Featured
See All Featured
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
25
2.1k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
33
5.3k
Typedesign – Prime Four
hannesfritz
42
3.2k
Facilitating Awesome Meetings
lara
57
7.2k
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
11
1.1k
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
1k
Are puppies a ranking factor?
jonoalderson
2
4.1k
How to Talk to Developers About Accessibility
jct
2
580
Making the Leap to Tech Lead
cromwellryan
135
10k
Marketing to machines
jonoalderson
1
5.9k
Paper Plane (Part 1)
katiecoart
PRO
2
12k
Embracing the Ebb and Flow
colly
88
5.2k
Transcript
ܥେखͱܥελʔτΞοϓͱ֎ࢿܥ Ͱಇ͍ͯΈͨ Yuki Shiga (@yush1ga)
• ݱ৬ ◦ Solutions Architect@Databricks • ͖ͳͷ ◦ ϥʔϝϯ ◦
ອը ◦ σʔλؔ࿈ٕज़ • ͦͷଞ ◦ ࣗʹ Spark Ϋϥελ͋Γ·͢ ࣗݾհ
• DATA + AI Company ◦ Spark, MLFlow, Delta Lake
ͷ ։ൃऀʹΑΓઃཱ • Databricks Data Intelligence Platform ◦ ETL ◦ σʔλΣΞϋε ◦ BI ◦ σʔλΧλϩά ◦ ػցֶशج൫ Databricks δϟύϯެࣜ X ΞΧϯτ @DatabricksJP
2014 2016 2018 2020 2022 2024 υΠπཹֶ υΠπਓೳη ϯλʔʹཹֶ έόϒΛͨ͘͞Μ
৯Δ ΩϟϦΞ म࢜՝ఔ ඇৗʹൣతͳ ֶੜͱͯ͠ৼΔ͏ ֶձ in US ࣭ٙԠͰਏࢎΛ ঐΊΔ ܥେखWeb εΫϥϜͰ ϛυϧΣΞ։ൃ ग़ு in US ΞϝϦΧͱڞಉ։ൃ ΧϯϑΝϨϯεࢀՃ R&Dʹҟಈ σʔλͷྖҬʹ͖ͬͯͨ NLPɾը૾ೝࣝʹऔΓΉ ग़ு in US ֶձࢀՃ (ௌߨ) ܥελʔτΞοϓ MLɾσʔλνʔϜͷ্ཱͪ͛ ֎ࢿܥ ιϦϡʔγϣϯ ΞʔΩςΫτʹ ΩϟϦΞνΣϯδ
ܥେखWebاۀ ब৬ͷ͖͔͚ͬ ◦ Ұ൪࠷ॳʹఆΛ͘Εͨ (M1ͷ1݄͘Β͍) ◦ ͬͨ͜ͱ͋ΔαʔϏεͳͷͰΠϝʔδ͔ͬͨ͢͠ ◦ ߴ͍ٕज़ਫ४ ◦
ΩϥΩϥձੜ׆ ◦ εϩʔͳঢڅϖʔε ◦ ֤ͷϓϩ͕ࡏ੶ ◦ ͜Ε·Ͱ௨Γͷੜ׆ ◦ ϝϦϋϦ͋ΔධՁ ೖࣾલͷҹ ೖࣾޙͷ࣮ࡍ
ܥελʔτΞοϓ స৬ͷ͖͔͚ͬ • ෭ۀΛ͍ͯͯ͠༠ΘΕͨ • ࡞ͬͨͷ͕ੈʹग़ͦ͏ • େ͖͍ࡋྔ • εϐʔυײ
• ࣌ؒ࿑ಇ • σʔλج൫ɺػցֶशϞσϦϯάɺAPI։ൃɺEMɺ࠾༻ • ϦϦʔεʹࢸΔPJଟ • ҙ֎ͱఆ࣌ ೖࣾલͷҹ ೖࣾޙͷ࣮ࡍ
֎ࢿܥ స৬ͷ͖͔͚ͬ • ֎ࢿܥاۀͱSAͱ͍͏৬छʹڵຯ͕͋ͬͨ • σʔλܥͷΩϟϦΞΛ׆͔ͤͦ͏ • ߴ͍ٕज़ਫ४ • άϩʔόϧɾίϛϡχέʔγϣϯ
• Ռओٛ • ֤ͷϓϩ͕ࡏ੶ (ཁӳޠ) • ճආෆೳͷӳޠίϛϡχέʔγϣϯ࣌ʑ • ඪߴΊ ೖࣾલͷҹ ೖࣾޙͷ࣮ࡍ
։ൃऀ͔ΒιϦϡʔγϣϯΞʔΩςΫτ ֎ࢿܥͷϙδγϣϯٕज़ࢧԉͷϩʔϧ͕ଟ͍ (ཁग़య) ͜Ε·Ͱͷܦݧ ݱ৬ʹ׆͔ͤΔ • ։ൃऀدΓ ◦ ػցֶशΤϯδχΞ ◦
σʔλαΠΤϯςΟετ ◦ όοΫΤϯυΤϯδχΞ ◦ EM • ٕज़ཧղ ◦ ٕज़͜Ε·Ͱͱڞ௨ • ސ٬ཧղ ◦ ͓٬༷ͷؾ͕࣋ͪΘ͔Δ • ࣮ྗ ◦ ίʔυΛॻ͘ػձ͋Δ
͜͜·Ͱ n=1 • ܥେखاۀಉ࢜ͰจԽҟͳΔ • ελʔτΞοϓಉ࢜ͰจԽҟͳΔ • ֎ࢿܥಉ࢜ͰจԽҟͳΔ اۀͷΧςΰϦͰஅͤͣ ΩϟϦΞΛۛຯ͢Δͷ͕͓͢͢Ί
͓ΘΓ