Data Engineering Engineering System Design 
Mobilunity
MAY 3, 2024
When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.
Mobilunity
DECEMBER 9, 2024
Have you ever wondered how often people mention artificial intelligence and machine learning engineering interchangeably? It might look reasonable because both are based on data science and significantly contribute to highly intelligent systems, overlapping with each other at some points.
Lacework
NOVEMBER 1, 2023
In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference. This local parsing involves identifying and either removing or masking any user identifiable information.
Altexsoft
AUGUST 21, 2019
Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.
Confluent
MAY 4, 2021
In the world of data engineering, data routing decisions are crucial to successful distributed system design. Some organizations choose to route data from within application code. Other teams hand off […].
AWS Machine Learning - AI
JULY 15, 2024
Powered by a Llama language model, the assistant initially used carefully engineered prompts created by AI experts. He leads a product-engineering team responsible for transforming Mixbook into a place for heartfelt storytelling. About the authors Vlad Lebedev is a Senior Technology Leader at Mixbook.
O'Reilly Media - Ideas
FEBRUARY 11, 2019
In our upcoming report, “Evolving Data Infrastructure,” respondents indicated they are beginning to build essential components needed to sustain machine learning and AI within their organizations: Take data lineage, an increasingly important consideration in an age when machine learning, AI, security, and privacy are critical for companies.
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