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
Redashで何をみるのか/What Do You Wanna See Redash?
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Masatoshi Shimada
April 23, 2019
Technology
1.9k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Redashで何をみるのか/What Do You Wanna See Redash?
Masatoshi Shimada
April 23, 2019
More Decks by Masatoshi Shimada
See All by Masatoshi Shimada
データプラットフォーム技術におけるメダリオンアーキテクチャという考え方/DataPlatformWithMedallionArchitecture
smdmts
12
4.2k
Delta Lakeを用いた LLM処理基盤 / Delta Lake with LLM on Dataplatform
smdmts
3
9k
Lakehouseプラットフォームを 採用するまでの話/Lakehouse Platform Adoption
smdmts
1
1.1k
Sparkから利用するAirframe/Spark-With-Airframe
smdmts
0
1.9k
DatabricksとSparkではじめる [ビッグデータETL処理/データ可視化] 実践入門 / Databricks and Spark with ETL and Visualization
smdmts
1
1.8k
DatabricksとSparkではじめる [データ分析/機械学習] 実践入門 / Databrick and Spark with Data Analyze and ML for newbie.
smdmts
6
2.5k
作らない分析基板のススメ/DWH For Startup With YAGNI
smdmts
1
830
エンジニアのためのドメイン駆動設計実践入門 / DDD for Engineer newbie
smdmts
18
4k
How to growth the delish kitchen team to data-driven team
smdmts
1
1.2k
Other Decks in Technology
See All in Technology
Sansan Engineering Unit 紹介資料
sansan33
PRO
1
4.9k
データ組織の転換期 一足飛びしない段階的戦略
leveragestech
PRO
0
150
サイバー捜査員研修(後半)
nomizone
1
590
名刺メーカーDevグループ 紹介資料
sansan33
PRO
0
1.2k
【CEDEC2026】専門性の高いデフォルメチームが挑んだ人材育成戦略 〜Cygames Academiaの企画から実施まで〜
cygames
PRO
0
160
トヨタ⽣産⽅式(TPS)⼊⾨
recruitengineers
PRO
1
310
MIRU 2026 チュートリアル
keisuke198619
0
800
AI時代の強いチームの作り方
yuukiyo
23
15k
AIがAPIを書く時代に、私たちは何を設計すべきか
nagix
0
210
Issue設計から始める仕様駆動開発 / 20260731 Mizuki Hirata
shift_evolve
PRO
1
130
制約理論(ToC)入門 2026版
recruitengineers
PRO
2
290
つくって納得、つかって実感! 大規模言語モデルことはじめ ver2.0
recruitengineers
PRO
2
520
Featured
See All Featured
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
230
23k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
3
200
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.3k
Git: the NoSQL Database
bkeepers
PRO
432
67k
Agile that works and the tools we love
rasmusluckow
331
22k
Docker and Python
trallard
47
4.1k
Measuring & Analyzing Core Web Vitals
bluesmoon
9
950
Optimizing for Happiness
mojombo
378
71k
Faster Mobile Websites
deanohume
310
32k
Navigating Algorithm Shifts & AI Overviews - #SMXNext
aleyda
1
1.5k
Stop Working from a Prison Cell
hatefulcrawdad
274
21k
Transcript
3FEBTIͰԿΛݟΔͷ͔ʁ ౡాխ 3FEBTI.FFUVQ
ࣗݾհ w ౡాխ!TNENUT w σʔλΣΞϋεΞʔΩςΫτ 4DBMBc1ZUIPOc(PMBOHc+BWBc%%% w גࣜձࣾΤϒϦʔॴଐ w
%&-*4),*5$)&/σʔλੳܥશൠ୲ ओʹੳج൫ɺ৴໘࠷దԽͳͲΛ୲
ΞϓϦϦϦʔε μϯϩʔυɿ ສ Ϩγϐɿສ݅Ҏ্ Ϣʔβɿ ສਓ ݄ؒಈը࠶ੜɿԯສճҎ্ "QQ4UPSF#&450' (PPHMF1MBZϕετΦϒ ࠃΞϓϦμϯϩʔυୈ̏Ґ
ʢ̍Ґ-*/&ɺ̎Ґ:BIPP+"1"/˞ඇήʔϜɹ"QQ"OOJFௐʣ ɾຖ৽ணϨγϐಈը͕৴͞ΕΔ ɹɾྉཧϨγϐಈըʢௐཧݙཱखॱʣ ɹɾࠂओλΠΞοϓಈը <13>%&-*4),*5$)&/ͷհʢ͔ΜͨΜʹʣ
ΞδΣϯμ w3FEBTIͷΠϯϑϥߏར༻γʔϯ w3FEBTIͰԿΛݟΔͷ͔ʁ
3FEBTIͷΠϯϑϥߏར༻γʔϯ
3FEBTI C &$UNFEJVNY 3%4UTNBMMY &MBTUJ$BDIFUNJDSPY $045 ΫΤϦ μογϡϘʔυ "SN5SFBTVSF%BUB
%BUB8BSFIPVTF 3FETIJGU %BUB.BSU w ಛघͳߏऔ͍ͬͯͳ͍ w ਓنͰͳ͠ 3FEBTIͷΠϯϑϥߏ
3FEBTIͷΠϯϑϥߏ %BUB8BSFIPVTF %BUB-BLF %BUB.BSU w σʔλϑϩʔͷܭࢉ4QBSLʢ%BUBCSJDLTʣΛར༻ w 3FEBTI͔Βɺ%BUB8BSFIPVTFͷΫΤϦ͕Ұ൪ଟ͍ w %BUB.BSUɺෳࡶͳܭࢉ͕ඞཁͳ߹ʹΫΤϦ͢Δ
4QBSLͰܭࢉͨ݁͠ՌΛ%BUB.BSUʹΫΤϦ͢Δ w %BUB-BLFɺܗલσʔλͷͨΊ໓ଟʹΫΤϦ͠ͳ͍ ɹௐࠪͳͲͰ%BUBCSJDLTͰΫΤϦ͢Δ͜ͱ͕ଟ͍ "UIFOBܦ༝
ϓϩμΫτΦʔφʔ σΟϨΫλʔΤϯδχΞʢࢪࡦ୲ʣ σʔλΞφϦετσʔλαΠΤϯςΟετ σʔλΤϯδχΞػցֶशΤϯδχΞ 3FEBTIΛར༻͢Δϖϧιφ૾ ΤϯδχΞҎ֎ͷਓݟΔ ӦۀӦۀࢧԉϚʔέλʔϓϥϯφʔ
3FEBTIͰԿΛݟΔͷ͔ʁ
3FEBTIͰԿΛݟΔͷ͔ %"6."6 w ΞΫηεϢʔβͷਪҠ w ҠಈฏۉEBZEBZ #BSνϟʔτ ։ൃڥͷ%"6ΑΓऔಘ 4&-&$5 UE@UJNF@GPSNBU
UJNF ZZZZ..EE KTU "4BDDFTT@EBUF $"4& 8)&/VTFS@BHFOU-*,&J045)&/ 8)&/VTFS@BHFOU-*,&"OESPJE5)&/ &-4&PUIFS &/%"4EFWJDF $06/5 %*45*/$5VTFS@JE "4$06/5 '30. BDDFTT 8)&3& VTFS@JE "/% VTFS@BHFOU-*,&J04 03VTFS@BHFOU-*,&"OESPJE (3061#:
3FEBTIͰԿΛݟΔͷ͔
w ΦʔσΟΤϯεͷܧଓੑ w ΞϓϦΛޙʹ·ͨىಈ͔ͨ͠ʁ w ܧଓ͕ߴ͍ํ͕ΞϓϦͷՁ͕ߴ͍ ܧଓ
3FEBTIͰԿΛݟΔͷ͔ XJUIpSTU@BDDFTTBT TFMFDU VTFS@JE 5%@5*.&@'03."5 NJO UJNF ZZZZ..EE
+45 BTGB@EBUF GSPN TJHOJO XIFSF OFX BOE5%@5*.&@3"/(& UJNF 5%@%"5&@536/$ EBZ 5%@4$)&%6-&%@5*.& KTU KTU HSPVQCZ TFMFDU UPUBMGB@EBUFBTEBUF EBUF@EJ⒎ EBZ DBTU GBGB@EBUFBTEBUF DBTU 5%@5*.&@'03."5 BUJNF ZZZZ..EE +45 BTEBUF BTEBZ@OVNCFS DPVOU EJTUJODUBVTFS@JE BTWBMVF UPUBMDOUBTUPUBM DBTU DPVOU EJTUJODUBVTFS@JE BTEPVCMF UPUBMDOUBTSS GSPN BDDFTTB JOOFSKPJO pSTU@BDDFTTGB PO GBVTFS@JEBVTFS@JE JOOFSKPJO TFMFDUGB@EBUF DPVOU EJTUJODUVTFS@JE BTDOU GSPNpSTU@BDDFTT HSPVQCZ BTUPUBM PO GBGB@EBUFUPUBMGB@EBUF XIFSF 5%@5*.&@3"/(& UJNF 5%@%"5&@536/$ EBZ 5%@4$)&%6-&%@5*.& KTU KTU HSPVQCZ PSEFSCZ EFTD ΦʔσΟΤϯεຖʹॳճىಈʢαΠϯΠϯʣͨ͠ͱɺ ͦͷޙͷΞΫηεͷؔ࿈͔ΒܧଓΛࢉग़͢Δ $PIPSUνϟʔτ Πϝʔδਤʢެ͔ࣜΒసࡌʣ ܧଓ
3FEBTIͰԿΛݟΔͷ͔ <֬ࢥߟͷઓུʢԬؽɾࠓوஶɺ֯ॻళץɺ*4#/ʣ> ೝ ϓϨϑΝϨϯε ՙ ϝσΟΞ͕ੈͷதʹΒΕΔ͜ͱ ΞϓϦ֎ͷ4&0"40ࠂྲྀೖͳͲͷӨڹΛड͚Δ ૬ରతײͷ͜ͱ ΞϓϦ֎Ͱ૬ରతʹ͖ͳํ͕બΕΔ ͕ͲΕ͘Β͍ͷళ಄ͰചΒΕ͍ͯΔ͔ʁ
ΞϓϦͰͲͷҐஔʹஔ͞ΕΔ͔ʁͱ͍͏͜ͱɻ ܧଓ ΦʔσΟΤϯεͷܧଓੑΛղ͢Δͱɺ ҎԼʹ͚ͯߟ͑Δ͜ͱ͕Ͱ͖Δ
3FEBTIͰԿΛݟΔͷ͔ ͲͪΒ͕ ΈͩΖ͏͔ʁ ϓϨϑΝϨϯε ܧଓΛߏ͢Δཁૉແʹଘࡏ͢Δ͕ɺ ΈͷϨγϐ৮ޙͷܧଓ͕ߴ͍Մೳੑ͕͋Δ ܧଓ
3FEBTIͰԿΛݟΔͷ͔ w ϓϨϑΝϨϯεͱɺΞΠςϜ࣠ͱϢʔβ࣠ͷֻ͚߹ΘͤͰܾఆ͞ΕΔ w ΞΠςϜ࣠ͱɺͲͷΞΠςϜଐੑʢϨγϐʣʹ৮͔ͨ͠Ͱܾఆ͞ΕΔ w Ϣʔβ࣠ͱɺΦʔσΟΤϯϞʔϝϯτͱΦʔσΟΤϯεଐੑɹɹɹɹ ʢσϞάϥϑΟοΫɾαΠίάϥϑΟοΫͳͲʣͰܾఆ͞ΕΔ ΞΠςϜଐੑ ΞΠςϜ࣠
Ϣʔβʔ࣠ ΦʔσΟΤϯεϞʔϝϯτ ΦʔσΟΤϯεଐੑ ϓϨϑΝϨϯε
3FEBTIͰԿΛݟΔͷ͔ ϓϨϑΝϨϯε ΦʔσΟΤϯε Ϟʔϝϯτຖͷܭࢉ ΦʔσΟΤϯεຖͷ ΞΠςϜ৮ޙܧଓͷܭࢉ ΦʔσΟΤϯε Ϋϥελຖͷܭࢉ #VCCMFνϟʔτ EBZܧଓภࠩ
EBZܧଓภࠩ w ܭࢉ͕ෳࡶͳͨΊॲཧ4QBSLͰߦ͏ w όϒϧͷେ͖͞66͋Δ͍ॴఆͷࢦඪ w EBZܧଓภࠩͱEBZܧଓภࠩɹɹ Ͱظͱظͷํͷ؍͔ΒՄࢹԽՄೳ %BUB.BSUʹภࠩ ࢉग़42-Λൃߦ
3FEBTIͷ՝ ग़యIUUQTXXXSFBMJ[FDPSQKQHMPTTBSZEBUF@HPWFSOBODF ݕূத σʔλΧόφϯε ʮσʔλࢿ࢈ͷཧΛ౷੍ ܭըɾࢹɾࣥߦ ͢Δ͜ͱʯͰɺσʔλͷɹɹ ੜɾੵɾެ։ɾར༻ʹΘΔཧͷࡏΓํΛنఆ͠౷੍͢Δ͜ͱʢൈਮʣ 42-ΫΤϦΛ౷߹తʹཧͰ͖ͳ͍ ݖݶઃఆ͕͘͠ڠྗձࣾͳͲͷఏڙ͕͍͠
3FEBTIͷ՝ײ
·ͱΊ
·ͱΊ w3FEBTI҆ՁͳίετͰར༻։࢝Մೳ wΤϯδχΞҎ֎ͷϝϯόʔײతʹར༻Ͱ͖Δ6*ڧྗ 42-Λ֮͑Δࣄʹ߅͕ͳ͍ϝϯόʔ͕ଟ͍ wΞϓϦέʔγϣϯάϩʔεʹඞཁͳϏδϡΞϥΠζػೳɹɹɹ ֓Ͷཏ͍ͯ͠Δʢ%BUB.BSUͷࣄલॲཧඞཁʣ w%BUB8BSFIPVTFΫΤϦ͕Ͱ͖Δ͜ͱ͕ڧྗ wσʔλΨόφϯεʹ՝͋Γʢࣾ֎ެ։͕͍͠ʣ
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠