Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.
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Universidade de Washington
Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.
- 5 stars57,33%
- 4 stars25,49%
- 3 stars9,11%
- 2 stars4,62%
- 1 star3,43%
Principais avaliações do MANIPULAÇÃO DE DADOS EM ESCALA: SISTEMAS E ALGORITIMOS
A great way to start, and become familiar with the nature, requirements & analytics of today's data.
Last week of the course is too much information and without any assignments it kind of doesn't make much sense and it doesn't stick.
Its pretty decent. I liked the assignments. However there were some typos in the lecture slides and also the grader output is not very friendly.
Comprehensive and clear explanation of theory and interlinks of the up-to-date tools, languages, tendencies. Kudos and thanks to Bill Howe. Highly recommended.
Sobre Programa de cursos integrados Ciência de dados em larga escalaCiência de Dados em Larga Escala
Learn scalable data management, evaluate big data technologies, and design effective visualizations.
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