CIO Business Intelligence
JUNE 16, 2022
A real-time data technology stack has to shrink this innovation gap for the business. . Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models. Often, enterprise data ecosystems are built with a mindset that’s too narrow.
CIO Business Intelligence
JUNE 28, 2023
As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.
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AWS Big Data
JULY 20, 2023
With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. These data pipelines generate valuable insights and curated data that are stored in Apache Iceberg tables for downstream usage.
O'Reilly on Data
SEPTEMBER 11, 2019
The question is which one: the topics and themes of this year’s proposals suggest that developers, data engineers, and other technologists are scrambling to acquire new domain-specific knowledge and skills. New trends in data architecture and data services. Similarly, “data warehouse” fell 211 places to No.
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