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
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Masatoshi Shimada
April 23, 2019
Technology
1.8k
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
4.1k
Delta Lakeを用いた LLM処理基盤 / Delta Lake with LLM on Dataplatform
smdmts
3
8.9k
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
820
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
AmazonRoute 53ではじめてのドメイン取得!HTTPS化までの道のりを整理してみた
usanchuu
3
140
AIネイティブな開発のサプライチェーンリスク対策 〜激動の開発現場でリスクに立ち向かう〜【ZennFes】
cscengineer
PRO
2
130
Kubernetesにおける学習基盤とLLMOpsの概要
ry
1
310
ルールやカスタム機能、どう活かす?ハンズオンで体感するIBM Bobの出力コントロール
muehara
1
170
AIの性能が向上しても未解決な組織の重大問題は何か?/An Unsolved Organizational Problem in the Age of AI
moriyuya
4
690
RAG を使わないという選択肢
tatsutaka
1
250
Claude Codeとのおしゃべりでセマンティックモデルの定義からダッシュボード作成まで完成させる
nic_sugiyama
0
120
Oracle AI Database@Google Cloud:サービス概要のご紹介
oracle4engineer
PRO
6
1.5k
なぜ Platform Engineering の土台に Kubernetes を選ぶのか
r4ynode
2
650
【Cyber-sec+】経営層を"動かす"ための考え方
hssh2_bin
0
190
機械学習を「社会実装」するということ 2026年夏版 / Social Implementation of Machine Learning June 2026 Version
moepy_stats
6
2.4k
エラーバジェットのアラートのタイミングを考える.pdf
kairim0
0
150
Featured
See All Featured
AI Search: Where Are We & What Can We Do About It?
aleyda
0
7.6k
Jamie Indigo - Trashchat’s Guide to Black Boxes: Technical SEO Tactics for LLMs
techseoconnect
PRO
0
170
Product Roadmaps are Hard
iamctodd
PRO
55
12k
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
430
Fireside Chat
paigeccino
42
4k
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
230
Measuring Dark Social's Impact On Conversion and Attribution
stephenakadiri
2
220
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
55
3.4k
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
230
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
2
860
A Soul's Torment
seathinner
6
2.9k
Why Mistakes Are the Best Teachers: Turning Failure into a Pathway for Growth
auna
0
160
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·ͨ͠