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Big Data Integration and Processing, University of California San Diego

4.4
1,422 Bewertungen
300 Bewertungen

Über diesen Kurs

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+....

Top-Bewertungen

von 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.

von SK

Dec 08, 2016

The assessments are quite tough compared to the course examples. Moreover, some programming basics should be given or made to understand, especially in Spark, as these are very

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288 Bewertungen

von Brian Sotelo

May 23, 2019

Practice activities files are outdated and a lot of the installation of downloaded tools requires manual fixing, there is no support at all from the course publishers.

von Joaquim Pla

May 14, 2019

I think that this course doesn't provide a substantial value to the student. It's basically a series of theoretical videos with irrelevant exercices that the student doesn't even have to think about. It's only about copy and paste until the last assignment. Until then, it's just a waste of time. Obviously it will be a good course for those people who only want the certificate and to pass the course with no effort at all, but it provides no value. On top of this, there is no technical support and I have struggled a lot in order to make everything work properly. I also suggest Coursera to give some guidance in the last assignment, there is a lot of lost people.

von Guilherme Domingos Carvalho Teixeira

May 13, 2019

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.

von Swapnil Dewangan

May 12, 2019

Things are materialized in well manner

von Andres Hernandez

May 11, 2019

That's an excellent course I've Learned a lot about not just the Platforms Basics but also how to perform basic operations in Mongo, the tests and the practical exercises also were well planned to ensure that you know what are you doing.

von KAY ADCOCK

May 07, 2019

It is very difficult when the environments don't work. This course has been very difficult to navigate

von Ranjan K Gupta

Apr 28, 2019

Good course to start learning Mongo DB and spark basically.

von dstart

Apr 26, 2019

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

von Rozina Saherwala

Apr 22, 2019

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.

von Andreas Dhanu Saputra

Apr 21, 2019

instalation for pyspark is not working properly