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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Habilidades que obtendrás
- 5 stars57,23 %
- 4 stars25,39 %
- 3 stars9,07 %
- 2 stars4,73 %
- 1 star3,55 %
Principales reseñas sobre DATA MANIPULATION AT SCALE: SYSTEMS AND ALGORITHMS
I like the breadth of coverage of this class. Each of the exercise is a gem in that I get to learn something new also. I would highly recommend this even to experience practitioner also.
Engaging problemset makes sure that you will get your hands dirty with data. And that is great! Definitely worth your time.
Very good introduction to relational algebra and map reduce. Also helped scratch up on some python and SQL.
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.
Acerca de Programa especializado: ciencia de los datos a escala
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