ST Xaviers Essential Elements of a Data Lake and Analytics Solution Paper

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ST Xaviers College

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Assignment # 4

Posted on: Monday, July 22, 2019 11:06:25 PM CDT

“Data Lake” is a new concept in enterprise data management paradigm. First of all, I am expecting all of you to do your research on Data Lake.

Second, I want you to submit 5 minutes video presentation that how Apache Hadoop is helping large organizations to deliver enterprise “Data Lake”. We studied various components of Apache Hadoop in this course.

You can use your cell phone or computer to record your video presentation.

There is no final exam. I will grade you based on 4 assignments.You can use Powerpoint slides in your presentation as well.

Sign into YouTube.

Click the Upload button at the top of the page.

Before you start uploading the video you can chose the video privacy settings. (Choose Unlisted from the privacy settings so that you can keep it private, but the instructor can still watch it from the link you will provide).

Select the video you'd like to upload from your computer/cell phone.

Click Share to privately share your video. Please email me the URL of your youtube video.

User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.

Explanation & Answer

please check the attached presentation. I think we need a little more time so we can agree about the video. I need to know your gender kr whether you can record the audio and I make the vedio now. Thanks

1

How Apache Hadoop Is Helping Large
Organizations To Deliver Enterprise “Data
Lake”
Name:
Course:

Introduction
▪ Data Lake utility in an organization…
▪ Enterprise data lake…
▪ Data lake architecture…

2

Data Lake
▪ Data Lake
- Centralized repository…
- Unstructured, semi-structured and structured data
- Undefined data

3

The Essential Elements of a Data Lake and Analytics
Solution
▪ A number of key capabilities to consider:
- Data movement
- Secure storage and cataloging of data
- Analytics
- Machine learning

4

...

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