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Вернуться к Big Data Integration and Processing

Отзывы учащихся о курсе Big Data Integration and Processing от партнера Калифорнийский университет в Сан-Диего

Оценки: 2,369

О курсе

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+....

Лучшие рецензии


21 окт. 2020 г.

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.


5 мар. 2018 г.

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.

Фильтр по:

301–325 из 503 отзывов о курсе Big Data Integration and Processing

автор: Aaryan J

26 авг. 2020 г.

The week 6 hands on activity was very tough as compared to all other activities in the specialization so far. A gradual increase in difficulty would have been better.

автор: amol g

8 окт. 2017 г.

Lot of new information, excellent delivery. Given 4 as I feel real-use case flavor is inadequate -exercises could be more intensive, real case studies can be added.

автор: Rozina S

22 апр. 2019 г.

It would be really helpful if there were full time teaching assistant whom we could directly contact for queries, since questions on forum many times go unanswered.

автор: Tomer S

28 сент. 2017 г.

Good coverage of the issues. Splunk exercise smelled like a promotional thing, not very useful. I think the exercises should be harder and on more complex examples.

автор: Charles S

18 мар. 2018 г.

Very comprehensive overview and well explained. Only the last hands-on exercise in week 6 was as challenging as I would like to see for all the other exercises.

автор: Diogo M

7 авг. 2019 г.

Some problems occur in VM and the use of virtualbox is not good, I use vmware, because I find some problems to run Virtualbox in my PC.

The course needs update.

автор: Norman L

31 авг. 2018 г.

The Spark component was especially useful when it went into depth about architecture and implementation. Also appreciated the coverage of MongoDB

автор: Francisco J

29 авг. 2017 г.

PSpeaker who is a man is not very good communicating the lectures it's very difficutl to follow him as his tone is not very good for e-learning.

автор: Damon A

8 авг. 2017 г.

I enjoyed the practical introduction to Hadoop and Spark. I appreciated the quizzes, which exposed me to both platforms via hands on experience.

автор: Vidal C

23 окт. 2017 г.

Challenging hands on experience working with both structured and unstructured data, and creating value out of it by using SPARK and MongoDB.

автор: Pankaj G

5 дек. 2016 г.

Content was good however we need to get more support on hands on as sometime we feel that we are stuck due to non availability of the right

автор: Rohit G

9 июля 2019 г.

Environment setup instructions for final assignment do not work as expected and need to be updated to avoid time spent in troubleshooting.

автор: Mahmudul H

23 мая 2020 г.

All of a sudden this course is enriched with hands on practice. I think it should be more improved as everything is not clear that much.

автор: Guilherme D C T

13 мая 2019 г.

The final project is a bit tough but worth it. If you manage to finish it you'll have a new understanding of Spark RDDs and DataFrames.

автор: Billu

20 дек. 2018 г.

Technical support for hands-on work is ridiculously out of date at the rare occasion it is available. and i’m paying for this course!

автор: ISLAM K

26 мар. 2018 г.

this course is great , its giving many hands-on sessions that allow the student to be on the way of being professional in this career

автор: Gnana P B

15 окт. 2019 г.

It is good course. Some instructions followed not working, course instructions and supplied resources requires update. thank you

автор: Gopi N

30 окт. 2018 г.

Need more hands-on for final test, would really help to have extra two weeks split with just good handson. Before final test

автор: Omprakash S

15 янв. 2018 г.

More Hands on experience should be included.

Reading of Apache Spark documentation should be made mandatory for beginners.

автор: Rafael T P d S

4 мар. 2019 г.

The last quiz was very hard to complete. I didn't found enough content to solve que questions in the course material.

автор: Samarth S

11 апр. 2018 г.

Need more explainaion. There are few videos such as that of RDD where I found difficulty in understanding the concept

автор: Nouhaila B

23 нояб. 2021 г.

The course is very instructive! however, I believe it should be updated (in terms of software version for cloudera)

автор: Jyothi-Raghav J

2 нояб. 2017 г.

Except for the exercise where it was frustrating to get the Spark Streaming to work, it was a very good learning.

автор: Mohamed

17 сент. 2017 г.

Need a references for any one want to read more about each subject. I recommend have it at the end of each Week.

автор: Prashant K

15 окт. 2017 г.

Helpful course to learn the basic components and processing on Apache Spark. Course quiz for MongoDB is great.