Business Intelligence Compliance Data Engineering Technology 
Xebia
JANUARY 19, 2023
The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. The authors state that the target audience is technical people and, second, business people who work with technical people. Nevertheless, I strongly agree.
Invid Group
AUGUST 28, 2024
It involves three key players: technology, people, and processes. External metrics can be implemented using Business Intelligence (BI) tools and shared with the clients to measure performance. Addressing these challenges requires implementing best-practices approaches to data management, model development, and deployment.
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O'Reilly Media - Ideas
FEBRUARY 11, 2019
Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.
Altexsoft
FEBRUARY 11, 2023
It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);
InnovationM
MAY 14, 2023
Introduction As someone who has hands-on experience in constructing and leveraging data lakes, I can attest to the transformative power these repositories hold for organizations grappling with vast amounts of data. They help establish data lineage, enable data discovery, and enforce compliance with data governance policies.
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. A mart is a group of aggregated tables (e.g., 1 [link] 2 [link] 3 [link] 4 [link] 5 [link] 6 [link] 7 [link]
Capgemini
NOVEMBER 14, 2022
Data has to be easy to find, understand, access, and use for everyone in the chain: data engineers, analysts, data scientists, and business users. It makes the data more accessible and understandable to everyone, especially less-skilled data consumers. A data catalog for trust. Myles Suer.
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