Under modernity, time is regarded as linear and measurable by clocks and calendars. Despite the historicity of clock-time itself, the modern concept of time is considered universal and culturally neutral. What Walter Benjamin called "homogeneous, empty time" founds the modern notions of progress and a uniform global present in which the past and other forms of time consciousness are seen as superseded. In Translating Time, Bliss Cua Lim argues that fantastic cinema depicts the coexistence of other modes of being alongside and within the modern present, disclosing multiple "immiscible temporalities" that strain against the modern concept of homogeneous time. In this wide-ranging study-encompassing Asian American video (On Cannibalism), ghost films from the New Cinema movements of Hong Kong and the Philippines (Rouge, Itim, Haplos), Hollywood remakes of Asian horror films (Ju-on, The Grudge, A Tale of Two Sisters) and a Filipino horror film cycle on monstrous viscera
Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack.
You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions.
You'll learn:
What a data pipeline is and how it works
How data is moved and processed on modern data infrastructure, including cloud platforms
Common tools and products used by data engineers to build pipelines
How pipelines support analytics and reporting needs
Considerations for pipeline maintenance, testing, and alerting
Product details
- Paperback | 200 pages
- 108 x 178 x 14.73mm | 204.12g
- 31 Mar 2021
- O'Reilly Media
- Sebastopol, United States
- English
- 1492087831
- 9781492087830
- 8,305
Download Data Pipelines Pocket Reference : Moving and Processing Data for Analytics (9781492087830).pdf, available at ebookdownloadfree.co for free.
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