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Data Manipulation at Scale: Systems and Algorithms に戻る

ワシントン大学(University of Washington) による Data Manipulation at Scale: Systems and Algorithms の受講者のレビューおよびフィードバック

4.3
757件の評価
168件のレビュー

コースについて

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. In this course, you will learn the landscape of relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against your requirements. You will learn how practical systems were derived from the frontier of research in computer science and what systems are coming on the horizon. Cloud computing, SQL and NoSQL databases, MapReduce and the ecosystem it spawned, Spark and its contemporaries, and specialized systems for graphs and arrays will be covered. You will also learn the history and context of data science, the skills, challenges, and methodologies the term implies, and how to structure a data science project. At the end of this course, you will be able to: Learning Goals: 1. Describe common patterns, challenges, and approaches associated with data science projects, and what makes them different from projects in related fields. 2. Identify and use the programming models associated with scalable data manipulation, including relational algebra, mapreduce, and other data flow models. 3. Use database technology adapted for large-scale analytics, including the concepts driving parallel databases, parallel query processing, and in-database analytics 4. Evaluate key-value stores and NoSQL systems, describe their tradeoffs with comparable systems, the details of important examples in the space, and future trends. 5. “Think” in MapReduce to effectively write algorithms for systems including Hadoop and Spark. You will understand their limitations, design details, their relationship to databases, and their associated ecosystem of algorithms, extensions, and languages. write programs in Spark 6. Describe the landscape of specialized Big Data systems for graphs, arrays, and streams...

人気のレビュー

HA

2016年1月10日

Great course that strikes a balance between teaching general principles and concepts, and providing hands-on technical skills and practice.\n\nThe lessons are well designed and clearly conveyed.

WL

2016年5月27日

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.

フィルター:

Data Manipulation at Scale: Systems and Algorithms: 51 - 75 / 164 レビュー

by suyang z

2015年10月15日

good for people who have some experience in python and SQL

by Anish M

2015年9月24日

great exercises and assignments. The course is involving.

by DAUTREY

2016年3月14日

very interesting materials about RDBMS and nosql systems

by Srikanth G

2018年5月29日

Very wide and fundamentally robust introduction.

by Nayan J

2015年12月14日

Coding assignments help shed the resistance :)

by Shivanand R K

2016年6月18日

Excellent thoughts and concepts presented.

by Artur S

2015年11月8日

Brilliant course with amazing test tasks!

by Kevin R

2015年11月12日

Great exercises one can learn alot from.

by Cesar O

2020年8月16日

Nice explanation of mapReduce, love it

by Matthew M

2016年1月21日

excellent treatment of the material

by Felipe G

2016年3月7日

great course! ... congratulations.

by Roland P

2017年7月27日

Great intro into wider aspects

by Dan R

2017年5月25日

Great work, very satisfied!!

by Miao J

2015年12月24日

Great course. Very helpful!

by Luis E

2022年4月15日

Buen curso, bien explicado

by Shibaji M

2015年9月17日

This is a great course

by Minh T

2019年8月24日

Great for students.

by Menghe L

2017年6月8日

great for learner

by Shambhu R

2016年7月27日

Very nice course!

by Desiree D

2019年7月31日

Hard but awesome

by Vaibhav G

2017年6月16日

Awesome content.

by Sebastian O M

2015年11月21日

100% Recomendado

by devang

2015年10月4日

Amazing Course!

by Jeffery L T

2017年1月27日

Great course!

by francisco y

2016年1月18日

Great course!