linkerzx

6 ms·

1.
The Return of Structure: Data Architecture Lessons for the Agentic Workforce(medium.com)
3 points by linkerzx 4mo ago|0 comments
2.
AI, Constraints, and the Future of Software Engineering(medium.com)
1 points by linkerzx 4mo ago|1 comments
3.
by linkerzx 4mo ago
How cost, infrastructure, and data constraints are reshaping the future of software engineering.
4.
Common Mistakes Driving Up Your AWS Athena Costs and How to Fix Them(wiseanalytics.com)
1 points by linkerzx 2y ago|0 comments
5.
Pandas' Lifecycle – A Tale of Renewal(wiseanalytics.com)
2 points by linkerzx 2y ago|0 comments
6.
Architecting for Real-time automated decisions(wiseanalytics.com)
1 points by linkerzx 2y ago|1 comments
7.
by linkerzx 2y ago
In an era where businesses must adapt to fast-paced environments, real-time automated decision-making has become a cornerstone of operational efficiency and competitive advantage. This capability involves a seamless blend of decision logic,
8.
Long live the Data warehouse – Follow up ON the evolution of Data Engineering(wiseanalytics.com)
2 points by linkerzx 2y ago|0 comments
9.
Customer Data Platforms (CDP) Implementation Anti-Patterns(wiseanalytics.com)
1 points by linkerzx 2y ago|0 comments
10.
Azure CosmosDB – Lessons Learned(medium.com)
4 points by linkerzx 7y ago|0 comments
11.
Overview of data storage implications for distributed and big data computing(medium.com)
2 points by linkerzx 7y ago|0 comments
12.
Salesforce Marketing Cloud – Data Extensions and Potential Integration Errors(medium.com)
1 points by linkerzx 7y ago|0 comments
13.
Create a Clickstream event collector in 10 minutes using Azure Logic App(medium.com)
1 points by linkerzx 7y ago|0 comments
14.
An introduction to 18 roles in the data ecosystem(medium.com)
2 points by linkerzx 7y ago|0 comments
15.
Using clickstream event collectors to complement your Google Analytics(medium.com)
2 points by linkerzx 7y ago|0 comments
16.
Data Management, Quality and Governance – The Different Steps Towards DQ Journey(medium.com)
3 points by linkerzx 7y ago|0 comments
17.
Strategies to Effectively Propagate Master Data Merges(medium.com)
1 points by linkerzx 7y ago|0 comments
18.
Data Scientists should act more like Product Managers(medium.com)
2 points by linkerzx 7y ago|0 comments
19.
Master Data Management, how to match and merge records to unify your data(medium.com)
2 points by linkerzx 7y ago|0 comments
20.
The Advent of the (Big) Data Architect(medium.com)
2 points by linkerzx 7y ago|0 comments
21.
by linkerzx 7y ago
Noted. This is something I had covered in high level in a previous blog posts: https://medium.com/analytics-and-data/cdp-and-dmp-a-story-of... But that I might want to cover in more details in the future.
22.
The Notebooks era – How notebooks are changing the way we develop code(medium.com)
3 points by linkerzx 7y ago|1 comments
23.
Implementation methods for events and transactions tracking in Google Analytics(medium.com)
1 points by linkerzx 7y ago|0 comments
24.
Customer Data Platform – What Features Makes for a Great CDP(medium.com)
4 points by linkerzx 7y ago|2 comments
25.
Salesforce Marketing Cloud – Data Extraction(medium.com)
1 points by linkerzx 7y ago|0 comments
26.
Jinja the SQL Way of the Ninja(medium.com)
1 points by linkerzx 7y ago|0 comments
27.
Optimal Inventory quantity for e-commerce websites(medium.com)
1 points by linkerzx 7y ago|0 comments
28.
Azure Message Brokers Patterns for Data Applications(medium.com)
2 points by linkerzx 7y ago|0 comments
29.
by linkerzx 7y ago
Yeah the addition of window functions onto sqlite last year was quite a good feature to enable more data use cases with sqlite. The exclude clause is part of the "window" configuration which defines which row to process, with it y
30.
by linkerzx 7y ago
Not a fan of YAML, but it has its advantages over JSON, such as the ability to comment specific portions easily. Haven't used TOML yet, but it seems promising given that for most use cases you would only use a portion of the YAML langu

More ›