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
The Open Source Data Tooling Landscape
Search
Carol Willing
PRO
August 24, 2021
Technology
1
80
The Open Source Data Tooling Landscape
Given for Coiled webinar on August 24, 2021.
Carol Willing
PRO
August 24, 2021
Tweet
Share
More Decks by Carol Willing
See All by Carol Willing
Lessons in Leadership: Python, AI, and Heuristics
willingc
PRO
0
79
Embracing Python, AI, and Heuristics: Optimal Paths for Impactful Software
willingc
PRO
0
800
Thriving with Python: Navigate the pitfalls in a polyglot world
willingc
PRO
1
130
Pragmatic Python: Python 3.12 and beyond
willingc
PRO
0
140
The Future is Notebooks
willingc
PRO
0
95
PyCon 2023 Keynote
willingc
PRO
0
180
Python: The People's Programming Language
willingc
PRO
0
100
A Random Walk with Snakes and Friends
willingc
PRO
0
50
Jupyter Notebooks for Humans
willingc
PRO
0
230
Other Decks in Technology
See All in Technology
2025年に挑戦したいこと
molmolken
0
160
コロプラのオンボーディングを採用から語りたい
colopl
5
1.3k
Formal Development of Operating Systems in Rust
riru
1
420
comilioとCloudflare、そして未来へと向けて
oliver_diary
6
450
Visual StudioとかIDE関連小ネタ話
kosmosebi
1
370
シフトライトなテスト活動を適切に行うことで、無理な開発をせず、過剰にテストせず、顧客をビックリさせないプロダクトを作り上げているお話 #RSGT2025 / Shift Right
nihonbuson
3
2.1k
メンバーがオーナーシップを発揮しやすいチームづくり
ham0215
2
140
[IBM TechXchange Dojo]Watson Discoveryとwatsonx.aiでRAGを実現!座学①
siyuanzh09
0
110
Unsafe.BitCast のすゝめ。
nenonaninu
0
200
Bring Your Own Container: When Containers Turn the Key to EDR Bypass/byoc-avtokyo2024
tkmru
0
860
生成AIのビジネス活用
seosoft
0
110
WantedlyでのKotlin Multiplatformの導入と課題 / Kotlin Multiplatform Implementation and Challenges at Wantedly
kubode
0
250
Featured
See All Featured
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
8
1.2k
Large-scale JavaScript Application Architecture
addyosmani
510
110k
Adopting Sorbet at Scale
ufuk
74
9.2k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
7
570
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
356
29k
The World Runs on Bad Software
bkeepers
PRO
66
11k
Into the Great Unknown - MozCon
thekraken
34
1.6k
Fantastic passwords and where to find them - at NoRuKo
philnash
50
2.9k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
33
2.7k
Stop Working from a Prison Cell
hatefulcrawdad
267
20k
BBQ
matthewcrist
85
9.4k
Building a Modern Day E-commerce SEO Strategy
aleyda
38
7k
Transcript
The Open Source Data Tooling Landscape Carol Willing VP of
Learning Noteable web: noteable.io email: carol AT noteable.io twitter: @WillingCarol github: willingc
Headline Slide Sub-headline The 10 Best Practices for Remote Software
Engineering Focusing on the human element of remote software engineer productivity Vanessa Sochat DOI:10.1145/3459613 Attribution: xkcd 1 Today
Common Data Challenges Exploring Solutions with Open Source Data Tools
2 Data
SCALE
SPEED
CONNECTIONS
CHOICES
The Data Pipeline Perspectives Attribution: Red Bull 3 People
The Data Pipeline Executives Opportunity and Fear
The Data Pipeline Engineers Infrastructure and Process Executives Opportunity and
Fear
The Data Pipeline Engineers Infrastructure and Process Data Scientists Algorithms
and Models Executives Opportunity and Fear
The Data Pipeline Engineers Infrastructure and Process Data Scientists Algorithms
and Models Executives Opportunity and Fear Users Productivity and Needs
Attribution: Red Bull Start small...
@WillingCarol 14 Justine Dupont surfs the greatest wave of her
life in Nazaré, Portuga l © Rafael G. Riancho / Red Bull Content Poo l ...and scale.
Open Source Data Tooling Landscape 4 Ecosystem
Python R Julia Fortran SQL C++ Go Rust Java Scala
4 Ecosystem Programming Languages JavaScript TypeScript Data Analysis Workflows Interactivity
4 Ecosystem Data Work fl ow Project Definition Data Collection
Computation and Modeling Evaluation Deploy at Scale Monitoring Data Preparation Exploratory Analysis Share Results Revisit Goals
Challenges ‣ Foundation (existing infrastructure to cloud) ‣ Variability (DIY
to Hosted/Managed Service) ‣ Complexity ‣ Language ecosystems ‣ Growth
Challenges (cont.) ‣ Best practices / de facto standards ‣
Jargon ‣ Abstractions ‣ Hype CRISP-DM Attribution: IBM Cross-industry standard process for data mining 1996
4 Ecosystem Taxonomy Business Goals People Ethics Model creation Training
Testing Project Definition Data Collection Computation and Modeling Cleaning Labeling Validating Data Preparation Ingest Exploratory Analysis Descriptive statistics Visualization Evaluation Deploy at Scale Monitoring Share Results Revisit Goals Charts Reports Dashboard Web app Scheduling CI/CD Platform Metrics Comparison Satisfy goals Automation Infrastructure Model Observability Technical Business Ethical
4 Ecosystem Julia Taxonomy Business Goals People Ethics Model creation
Training Testing Project Definition Data Collection Computation and Modeling Cleaning Labeling Validating Data Preparation Ingest Exploratory Analysis Descriptive statistics Visualization Evaluation Deploy at Scale Monitoring Share Results Revisit Goals Charts Reports Dashboard Web app Workflow Scheduling CI/CD Platform Metrics Comparison Satisfy goals Automation Infrastructure Model Observability Technical Business Ethical DrWatson.jl ParameterSchedulers.jl Pluto.jl IJulia JupyterLab nteract VSCode Plots.jl (Viz) Gadfly.jl (Viz) Makie.jl (Viz - GPU) Flux.jl (ML) Knet.jl (ML/BL) MLJ.jl (ML) Mocha.jl (ML/DL) Tensorflow.jl (ML/DL wrapper) JuMP (optimization) Dataframes.jl ProgressMeters.jl
4 Ecosystem Python Taxonomy Business Goals People Ethics Model creation
Training Testing Project Definition Data Collection Computation and Modeling Cleaning Labeling Validating Data Preparation Ingest Exploratory Analysis Descriptive statistics Visualization Evaluation Deploy at Scale Monitoring Share Results Revisit Goals Charts Reports Dashboard Web app Workflow Scheduling CI/CD Platform Metrics Comparison Satisfy goals Automation Infrastructure Model Observability Technical Business Ethical Dask JupyterHub Binder Kubernetes papermill Dagster Airflow prefect scipy statsmodel JupyterLab nteract VSCode matplotlib seaborn altair plotly numpy scikit-learn pytorch tensorflow pandas PyJanitor dask datasette evidently bokeh panel voila dash python scripts napari geopandas feast keras fastai fairlearn
4 Ecosystem R Taxonomy Business Goals People Ethics Model creation
Training Testing Project Definition Data Collection Computation and Modeling Cleaning Labeling Validating Data Preparation Ingest Exploratory Analysis Descriptive statistics Visualization Evaluation Deploy at Scale Monitoring Share Results Revisit Goals Charts Reports Dashboard Web app Scheduling CI/CD Platform Metrics Comparison Satisfy goals Automation Infrastructure Model Observability Technical Business Ethical RStudio JupyterLab IRkernel ggplot tidyverse dplyr tidyr lubridate readr readxl googlesheets4 ggplot2 rmarkdown Shiny plumber purrr reticulate Keras Tensorflow sparklyr ropensci.org knitr forcats mlr3 CNTK theanos
Algorithmic Business Thinking (ABT) 5 Management Paul McDonagh-Smith MIT Sloan
School of Management https://mitsloan.mit.edu/faculty/directory/paul-mcdonagh-smith https://www.youtube.com/watch?v=bqtn2tYg-kw
@WillingCarol 25 Justine Dupont surfs the greatest wave of her
life in Nazaré, Portuga l © Rafael G. Riancho / Red Bull Content Poo l Got data at scale? Use open source tools.
web: noteable.io email: carol AT noteable.io twitter: @WillingCarol github: willingc
Thank you The Open Source Data Tooling Landscape Carol Willing VP of Learning Noteable
6 Additional Resources https://krzjoa.github.io/awesome-python-data-science/#/ https://github.com/FavioVazquez/ds-cheatsheets https://www.the-modeling-agency.com/crisp-dm.pdf https://github.com/academic/awesome-datascience