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Big Data Integration and Processing に戻る

カリフォルニア大学サンディエゴ校 による Big Data Integration and Processing の受講者のレビューおよびフィードバック



At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big data problem needs data integration *Execute simple big data integration and processing on Hadoop and Spark platforms This course is for those new to data science. Completion of Intro to Big Data is recommended. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Refer to the specialization technical requirements for complete hardware and software specifications. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge (except for data charges from your internet provider). Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....




Hello Gentlemen,

This course was very helpful foe me. It enhanced my knowledge about Big Data Integration. Thank you so much for providing me such important knowledge. Thank you once again.



It was a good course, it could have been better if some examples of Spark were also provided in other Languages like Java, people without having background of python may find it difficult.


Big Data Integration and Processing: 76 - 100 / 497 レビュー

by Mohamad K


Teaching about the quality and not quantity. It's a great course , i have learned a lot tech that used now days in our real life.

by Alfonso A C M


In general my experience was very good, I consider that you must have some knowledge in programming to get the most out of it.

by Івченко Д Є


the course is very cramped, not enough pain clear basis in practice, ie where it can be used in real life for their own needs

by Sita R P G


The Spark introduction and exercises were good. It would be an added advantage if the final steps/answers also get published.

by xavier s


theoric and practise, very usefull course to have a first concret view of data manipulation with some kinds of big data api.

by Anna K


It is a great hands on course. The problems were in setting up and configuring variety of software for completing projects.

by Glenn B


I found this course like the others. I really liked the hands on labs. It gave a real feel for the programs being explained

by David d


Out of the first three course, this has been the most challenging and the most interesting. Enjoyed the final assignement

by Hua W


I learn both the basic ideas on the big data integration and processing, and the useful tools, like Spark, MongoDB, etc.

by Ben W


Excellent..but not easy. Be prepared to have to do some research! But hey....isn't that part of being a data scientist!

by Ujjwal A


Excellent course design, it gives you basic of MongoDB, Splunk and Apache Spark.

Happy learning and think BIG DATA

by Raunak S


great course for those who have a basic level knowledge of big data and then desire to upgrade to a higher level.

by Rahul P


The last exercise was worth all the effort. A huge thumbs up for the entire faculty involved with the course !!

by Jesus Y


Very Good Course! I'd never used spark before, and doing (and passing) the assignment on it was very rewarding!

by Utsav P


I learned a lot of implementation of the techniques and concepts that were covered earlier. A great experience.

by Punam P


Nice course to enhance the skill.. Thanks Resp Professor & Team.. Thanks to university and coursera team..

by Tarun K


Its amazing, Fantastic, Fabulous, learnt a new technique or technology for the data integration & processing

by Fernando E


Very challenging, specially in the week 6 quizzes where a lot of researching took place in order to pass it.

by Lopamudra S


A kick start for Big Data Integration and processing.Thanks to my faculty for this wonderful course.

by Mohamed M G F


I enjoyed this course. I learnt a lot of stuff about Big Data processing in a simple and clear way.

by Nishant U


Amazing part of the specialization where first time interacted with spark and mongodb, great tech

by Zeinab T


Very good explanation of Spark layers and processes and how it differs from MapReduce. Thank you.

by Michael


Wonderful visualization course to make complicated knowledge easier to understand for beginners!

by 学洲 刘


It was really a wonderful experience. I love the forum and help me a lot .Thanks for all of you!

by Dominik S


Very good introductory course. It makes you want to continue to learn about Spakr and MongoDB.