DataKitchen
JANUARY 3, 2022
Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. In business analytics, fire-fighting and stress are common.
datapine
OCTOBER 7, 2020
We have written about management reporting methods that can be utilized in the modern practice of creating powerful analysis, bringing complex data into simple visuals, and employ them to make actionable decisions. Your Chance: Want to visualize & track operational metrics with ease? Marketing: CPC (Cost-per-Click).
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datapine
SEPTEMBER 11, 2019
Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. 2) Uncovering Fresh Business Insights.
AWS Big Data
NOVEMBER 29, 2023
These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.
Jet Global
MAY 9, 2024
A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.
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