Lars Albertsson
33 SlideShares 3 Clipboards 63 Followers 41 Followings
Personal Information
Organization / Workplace
Stockholm County, Sweden Sweden
Occupation
Founder & Data Engineer
Industry
Technology / Software / Internet
Website
www.scling.com
About
Founder of Scling, offering data-value-as-a-service - a partnership solution for extracting value from data.
Contact Details
Tags
big data data engineering spark stream processing dataops data processing hadoop kafka batch processing analytics #dataops #bigdata privacy luigi #dataengineering data quality machine learning workflow orchestration software testing bigdata devsecops devops time data strategy data science agile #shiftleft security software development supply chain lean #ethics #ai shiftleft covid-19 #lean data democratization data en openshift aws kubernetes ai gdpr organization project management testing cassandra scala event sourcing organising #functionalprogramming #softwarearchitecture #bigd recommendation systems count-min sketch spotify crunch
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Presentations (33)
See all
Data Infrastructure for a World of Music
8 years ago • 1456 Views
Scalable real-time processing techniques
8 years ago • 1522 Views
Functional architectural patterns
8 years ago • 1670 Views
Organising for Data Success
7 years ago • 577 Views
Data pipelines from zero
7 years ago • 968 Views
Data pipelines from zero to solid
7 years ago • 10459 Views
Building real time data-driven products
6 years ago • 2806 Views
Test strategies for data processing pipelines
6 years ago • 5105 Views
A primer on building real time data-driven products
6 years ago • 949 Views
Testing data streaming applications
6 years ago • 3901 Views
Protecting privacy in practice
5 years ago • 9749 Views
10 ways to stumble with big data
5 years ago • 1397 Views
Test strategies for data processing pipelines, v2.0
5 years ago • 2662 Views
Privacy by design
5 years ago • 1923 Views
Big data == lean data
4 years ago • 223 Views
Don't build a data science team
4 years ago • 881 Views
Kubernetes as data platform
4 years ago • 874 Views
Data ops in practice
4 years ago • 2853 Views
Eventually, time will kill your data pipeline
3 years ago • 932 Views
Taming the reproducibility crisis
3 years ago • 520 Views
Eventually, time will kill your data processing
3 years ago • 410 Views
Engineering data quality
3 years ago • 1252 Views
Data democratised
3 years ago • 306 Views
The lean principles of data ops
2 years ago • 403 Views
Data ops in practice - Swedish style
2 years ago • 398 Views
Mortal analytics - Covid-19 and the problem of data quality
2 years ago • 415 Views
The right side of speed - learning to shift left
2 years ago • 199 Views
Ai legal and ethics
2 years ago • 195 Views
DataOps - Lean principles and lean practices
2 years ago • 772 Views
Secure software supply chain on a shoestring budget
1 year ago • 260 Views
Likes (6)
See all
Culture over-process
Arthur Lokaychuk • 9 years ago
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain • 8 years ago
The Mechanics of Testing Large Data Pipelines (QCon London 2016)
Mathieu Bastian • 7 years ago
Comparison of various streaming technologies
Sachin Aggarwal • 7 years ago
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson • 7 years ago
10 more lessons learned from building Machine Learning systems
Xavier Amatriain • 7 years ago
Presentations (33)
See all
Data Infrastructure for a World of Music
8 years ago • 1456 Views
Scalable real-time processing techniques
8 years ago • 1522 Views
Functional architectural patterns
8 years ago • 1670 Views
Organising for Data Success
7 years ago • 577 Views
Data pipelines from zero
7 years ago • 968 Views
Data pipelines from zero to solid
7 years ago • 10459 Views
Building real time data-driven products
6 years ago • 2806 Views
Test strategies for data processing pipelines
6 years ago • 5105 Views
A primer on building real time data-driven products
6 years ago • 949 Views
Testing data streaming applications
6 years ago • 3901 Views
Protecting privacy in practice
5 years ago • 9749 Views
10 ways to stumble with big data
5 years ago • 1397 Views
Test strategies for data processing pipelines, v2.0
5 years ago • 2662 Views
Privacy by design
5 years ago • 1923 Views
Big data == lean data
4 years ago • 223 Views
Don't build a data science team
4 years ago • 881 Views
Kubernetes as data platform
4 years ago • 874 Views
Data ops in practice
4 years ago • 2853 Views
Eventually, time will kill your data pipeline
3 years ago • 932 Views
Taming the reproducibility crisis
3 years ago • 520 Views
Eventually, time will kill your data processing
3 years ago • 410 Views
Engineering data quality
3 years ago • 1252 Views
Data democratised
3 years ago • 306 Views
The lean principles of data ops
2 years ago • 403 Views
Data ops in practice - Swedish style
2 years ago • 398 Views
Mortal analytics - Covid-19 and the problem of data quality
2 years ago • 415 Views
The right side of speed - learning to shift left
2 years ago • 199 Views
Ai legal and ethics
2 years ago • 195 Views
DataOps - Lean principles and lean practices
2 years ago • 772 Views
Secure software supply chain on a shoestring budget
1 year ago • 260 Views
Likes (6)
See all
Culture over-process
Arthur Lokaychuk • 9 years ago
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain • 8 years ago
The Mechanics of Testing Large Data Pipelines (QCon London 2016)
Mathieu Bastian • 7 years ago
Comparison of various streaming technologies
Sachin Aggarwal • 7 years ago
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson • 7 years ago
10 more lessons learned from building Machine Learning systems
Xavier Amatriain • 7 years ago