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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Compétences que vous acquerrez
- 5 stars57,23 %
- 4 stars25,39 %
- 3 stars9,07 %
- 2 stars4,73 %
- 1 star3,55 %
Meilleurs avis pour DATA MANIPULATION AT SCALE: SYSTEMS AND ALGORITHMS
covers a lot of ground quickly, but you still get a good understanding of the underlying theory or technologies
Great course that strikes a balance between teaching general principles and concepts, and providing hands-on technical skills and practice.
The lessons are well designed and clearly conveyed.
Very good course, but lectures could be more tuned onto the home assignments. A lot of independent work for me at least. Teacher is very good.
The course is very coherent and comprehensive. It covers only important aspects of the fields. Also, the exercises are very well prepared.
À propos du Spécialisation Science des données à grande échelle
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