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學生對 加州大学圣地亚哥分校 提供的 Big Data Integration and Processing 的評價和反饋

4.4
1,565 個評分
330 個審閱

課程概述

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+....

熱門審閱

AA

Mar 06, 2018

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.

DC

Oct 08, 2017

Very Interactive course. Theatrical classes are nicely drafted. Hands On exercises are interesting and some are challenging too. Overall very interesting course. Happy learning

篩選依據:

201 - Big Data Integration and Processing 的 225 個評論(共 317 個)

創建者 Pankaj G

Dec 05, 2016

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

創建者 Jamal A

Apr 28, 2017

Pros: covers lots of good topics about Big Data

Cons: No real big data exercise

創建者 Charles S

Mar 18, 2018

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.

創建者 Gabriel T

Feb 01, 2018

Awesome lectures and hands-on. Learned a whole lot. Thanks for a great course.

創建者 Yuji T

Oct 07, 2016

This is a very descent to understand MongoDB and Apache Spark. It contains hands on assignments will will allow you to learn how to handle these two software. The course is introductory level, and I recommend this course to people who have not used MongoDB and Apache Spark.

創建者 Juan H B S

Mar 29, 2018

Helpful and really cutting edge all the contents!

創建者 Vidal A C L

Oct 23, 2017

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

創建者 Tomer S

Sep 28, 2017

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.

創建者 Prashant K

Oct 15, 2017

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

創建者 Mario L

Aug 06, 2017

has bugs

創建者 Damon A

Aug 08, 2017

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

創建者 Cordell M

Jul 22, 2017

that last spark exam was really hard. the script took a long time to finally get working

創建者 Manish S

Feb 10, 2018

For better practice, more question sets should be provided apart from the quizzes that we already have.

創建者 HONGWEI Z

Oct 18, 2017

G

創建者 Vincent R

Mar 28, 2018

The course was interesting and challenging. I definitely learned a lot. As a beginner, my programming skills are limited. Thus, I would have liked a little more guidance for some practical aspects of the final exercises. It would have saved me some time. However, I recognize the added benefit of being obliged to find by myself.

創建者 Tatiana V

Oct 29, 2017

The last test was too hard for those without background in programming

創建者 Samarth S

Apr 11, 2018

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

創建者 Jyothi-Raghav J

Nov 02, 2017

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

創建者 Sabawoon S

Jan 23, 2018

Very good content, The last quiz was more about python than spark.

創建者 Mohamed

Sep 17, 2017

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

創建者 Frédéric M

Feb 01, 2018

Interesting course but the requirements to use a VM and virtualbox for handson might make it impossible in companies that are not allowing installation of softwares on their employe

創建者 Christoph R

Feb 11, 2018

Great course, great presentation!

Just a bit of information overkill with the many tools and techniques that are presented. I would have preferred less tool examples in the hands on, therefore deeper introduction to those that are presented.

創建者 ASHMY A S

Aug 05, 2017

I was a beginner in the area of Big Data and I selected this course due to my interest and curiosity. But the lectures were very clear and I could successfully complete the course.

創建者 Omprakash S

Jan 16, 2018

More Hands on experience should be included.

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

創建者 mohamad m k

Jun 13, 2018

that course had alot of technical training , i enjoyed every bit of it , specialy the final project , it gave you a little guidance with more space for you to develop more