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
Fast In-memory Analytics for Retail Data with C...
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
ernestoarbitrio
April 09, 2017
Technology
81
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Fast In-memory Analytics for Retail Data with Columnar Databases
ernestoarbitrio
April 09, 2017
More Decks by ernestoarbitrio
See All by ernestoarbitrio
Enable effective Observability with Python
pamaron
0
150
PyConZA 2022 Best practices for good(ish) and clean(ish) code
pamaron
0
130
PyCon Italia 2022 Best practices for good(ish) and clean(ish) code
pamaron
0
310
Bokeh: Using python for interactive data visualization
pamaron
1
180
Keystroke Behavioural Analysis For Fraud Detection: Deep Learning as-a-service Infrastructure
pamaron
0
69
Indexing and search tons of data with ElasticSearch and Django
pamaron
0
430
Interactive plot with django and highchart JS (without JS)
pamaron
0
410
Other Decks in Technology
See All in Technology
Claude Code本は、どのように執筆チームで書かれたか
oikon48
0
230
Snowflake Horizon Catalog と Apache Iceberg で作る オープンなデータ基盤
kitagawaz
0
450
2026-10-01_MagicPod_QAハーネスエンジニアリングとQA組織の未来像
ynisqa1988
1
540
分析の民主化を支えるメタデータ整備の実践
kakehashi
PRO
1
630
使いこなすために知っておきたい Azure SRE Agent アンチパターン
torumakabe
2
400
自分で立ててみるLLMサービス
y_sera15
0
130
Codex概要
ymiya55
0
440
実体験から学ぶ分析エージェントの開発と運⽤
recruitengineers
PRO
1
310
オブザーバビリティを高める AI エージェント体験を考える / Designing AI Agent Experiences That Enhance Observability
aoto
PRO
2
310
Incremental HTTP
kazuho
5
2.1k
BedrockとLambdaで作る リアルタイム進行型推理ゲーム
kawametho
0
190
プロダクト価値を、 チームが使える判断軸に変える
vivion
0
130
Featured
See All Featured
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
1
440
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.9k
HU Berlin: Industrial-Strength Natural Language Processing with spaCy and Prodigy
inesmontani
PRO
0
740
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
520
So, you think you're a good person
axbom
PRO
2
2.2k
The World Runs on Bad Software
bkeepers
PRO
72
12k
Designing for Performance
lara
611
70k
Fireside Chat
paigeccino
43
4.1k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
31k
Bootstrapping a Software Product
garrettdimon
PRO
306
120k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
490
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
2
930
Transcript
Fast In-memory Analytics for Retail Data with Columnar Databases Ernesto
Arbitrio - Valerio Maggio arbitrio |
[email protected]
Florence April 6, 2017
Retail Data • Overview of data we have • granularity
• refresh/update rate • Quantity and storage required (space) • services developed around these data
“Materialized Views” • Description of what they are (non-technical) •
Some examples of Analytics we do on this data
The Problem! ~1 TByte Data We need OLAP Performance: 75M
rows -> 5hours
The Solution! Use a Column-oriented Database (i.e. Just swap Rows
with Columns) Chuck Norris Test Passed!
None
Query
None
Thank you get in touch @__pamaron__ @leriomaggio