- Добавил: literator
- Дата: 27-04-2023, 08:21
- Комментариев: 0
Название: Automating Data Transformations: Enable Your Organization to Solve the Largest Bottleneck in Analytics
Автор: Satish Jayanthi, Armon Petrossian
Издательство: O’Reilly Media, Inc.
Год: 2023-04-25
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB
The modern data stack has evolved rapidly in the past decade. Yet, as enterprises migrate vast amounts of data from on-premises platforms to the cloud, data teams continue to face limitations executing data transformation at scale. Data transformation is an integral part of the analytics workflow–but it's also the most time-consuming, expensive, and error-prone part of the process. Today, integrating data into business operations is table stakes. Winning organizations will have the most performant and scalable architectures, prioritize the value of their outputs, and place the greatest emphasis on results. We’ve seen this pattern in other operational groups: engineering, sales, and marketing, to name a few. From workplace wikis to a slew of Slack apps, automation and tooling drive process improvement, which multiplies the value-add of passionate, curious employees—this is the premise of the modern data stack (MDS).
Автор: Satish Jayanthi, Armon Petrossian
Издательство: O’Reilly Media, Inc.
Год: 2023-04-25
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB
The modern data stack has evolved rapidly in the past decade. Yet, as enterprises migrate vast amounts of data from on-premises platforms to the cloud, data teams continue to face limitations executing data transformation at scale. Data transformation is an integral part of the analytics workflow–but it's also the most time-consuming, expensive, and error-prone part of the process. Today, integrating data into business operations is table stakes. Winning organizations will have the most performant and scalable architectures, prioritize the value of their outputs, and place the greatest emphasis on results. We’ve seen this pattern in other operational groups: engineering, sales, and marketing, to name a few. From workplace wikis to a slew of Slack apps, automation and tooling drive process improvement, which multiplies the value-add of passionate, curious employees—this is the premise of the modern data stack (MDS).