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Data Manipulation at Scale: Systems and Algorithms(으)로 돌아가기

워싱턴 대학교의 Data Manipulation at Scale: Systems and Algorithms 학습자 리뷰 및 피드백

4.3
별점
748개의 평가
162개의 리뷰

강좌 소개

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...

최상위 리뷰

HA
2016년 1월 10일

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
2016년 5월 27일

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.

필터링 기준:

Data Manipulation at Scale: Systems and Algorithms의 158개 리뷰 중 51~75

교육 기관: Anish M

2015년 9월 24일

great exercises and assignments. The course is involving.

교육 기관: DAUTREY

2016년 3월 14일

very interesting materials about RDBMS and nosql systems

교육 기관: Srikanth G

2018년 5월 29일

Very wide and fundamentally robust introduction.

교육 기관: Nayan J

2015년 12월 14일

Coding assignments help shed the resistance :)

교육 기관: Shivanand R K

2016년 6월 18일

Excellent thoughts and concepts presented.

교육 기관: Artur S

2015년 11월 8일

Brilliant course with amazing test tasks!

교육 기관: Kevin R

2015년 11월 12일

Great exercises one can learn alot from.

교육 기관: Cesar O

2020년 8월 16일

Nice explanation of mapReduce, love it

교육 기관: Matthew

2016년 1월 21일

excellent treatment of the material

교육 기관: Felipe G

2016년 3월 7일

great course! ... congratulations.

교육 기관: Roland P

2017년 7월 27일

Great intro into wider aspects

교육 기관: Dan S R

2017년 5월 25일

Great work, very satisfied!!

교육 기관: Miao J

2015년 12월 24일

Great course. Very helpful!

교육 기관: Shibaji M

2015년 9월 17일

This is a great course

교육 기관: Minh T

2019년 8월 24일

Great for students.

교육 기관: Menghe L

2017년 6월 8일

great for learner

교육 기관: Shambhu R

2016년 7월 27일

Very nice course!

교육 기관: Desiree D

2019년 7월 31일

Hard but awesome

교육 기관: Vaibhav G

2017년 6월 16일

Awesome content.

교육 기관: Sebastian O M

2015년 11월 21일

100% Recomendado

교육 기관: devang

2015년 10월 4일

Amazing Course!

교육 기관: Jeffery L T

2017년 1월 27일

Great course!

교육 기관: francisco y

2016년 1월 18일

Great course!

교육 기관: Muhammad Z H

2019년 9월 19일

learnt a lot

교육 기관: Ivan S

2017년 5월 11일

Nice !