Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

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Google Cloud

2:45:58

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0. Introduction to Cloud Dataproc

0. Introduction to Leveraging Unstructured Data Course.mp4

02:04

1. Introducing Cloud Dataproc.mp4

01:07

2. Defining Unstructured Data.mp4

04:41

3. Deriving Value from Unstructured Data.mp4

07:27

4. Approaches to Working with Big Data.mp4

04:11

5. MapReduce and Hadoop Origins.mp4

05:05

6. On-prem Hadoop has a lot of Overhead.mp4

01:56

7. Cloud Dataproc versus Hadoop Alternatives.mp4

02:37

8. Creating a Dataproc Cluster.mp4

04:03

9. Dataproc Customization.mp4

03:12

10. Dataproc and the CLI.mp4

00:40

11. Lab - Create a Dataproc Cluster.mp4

00:11

12. Leveraging Unstructured Data - Lab 1 - Creating a Dataproc Cluster v1.3.mp4

00:10

13. Create a Dataproc Cluster Lab Demo and Review.mp4

07:54

14. Custom Machine Types.mp4

03:29

15. Preemptible VMs.mp4

03:17

16. Wrap-up for Introduction to Cloud Dataproc.mp4

00:41

1. Running Dataproc jobs

0. Overview of Running Dataproc jobs.mp4

02:34

1. Methods for Submitting Jobs.mp4

01:08

2. Lab - Working with Structured and Semi-Structured Data.mp4

01:47

3. Leveraging Unstructured Data - Lab 2 - Work with structured and semi-structured data v1.3.mp4

00:10

4. Working with Structured and Semi-Structured Data Lab Demo and Review.mp4

11:57

5. Separation of Storage and Compute.mp4

06:40

6. Evolution of Data Processing.mp4

05:04

7. The Importance of Networking in Data Processing.mp4

03:47

8. Separating Storage and Compute with Spark.mp4

01:53

9. Submitting Spark Jobs.mp4

03:37

10. Overview of Spark Concepts.mp4

02:53

11. Lab - Working with Spark jobs.mp4

00:45

12. Leveraging Unstructured Data - Lab 3 - Submit Dataproc jobs for unstructured data v1.3.mp4

00:10

13. Working with Spark Jobs Lab Demo and Review.mp4

08:48

14. Wrap-up for Running Dataproc Jobs.mp4

00:18

2. Leveraging GCP

0. Leveraging GCP.mp4

01:33

1. BigQuery Support.mp4

08:20

2. Lab - Leverage GCP.mp4

00:31

3. Leveraging Unstructured Data - Lab 4 - Leverage GCP v1.3.mp4

00:10

4. Leverage GCP Lab Demo and Review.mp4

04:39

5. Cluster Customization.mp4

04:21

6. Installing Software on a Dataproc Cluster.mp4

07:51

7. Lab - Cluster Automation Using CLI commands.mp4

00:17

8. Leveraging Unstructured Data - Lab 5 - Cluster automation using CLI commands v1.3.mp4

00:10

9. Cluster Automation Using CLI Commands Lab demo and Review.mp4

08:31

10. Wrap-up for Leveraging GCP.mp4

00:58

11. Review of Leveraging GCP.mp4

00:19

3. Analyzing Unstructured Data

0. Continuing Discussion of Machine Learning.mp4

02:02

1. A Closer Look at Machine Learning.mp4

03:48

2. Examples of Applied ML.mp4

03:19

3. Natural Language Processing Close-Up.mp4

02:51

4. Lab - Adding Machine Learning.mp4

01:16

5. Leveraging Unstructured Data - Lab 6 - Add Machine Learning (ML) v1.3.mp4

00:10

6. Adding Machine Learning Lab demo and Review.mp4

10:20

7. Wrap-Up for Analyzing Unstructured Data.mp4

00:16

Description

You'll learn how to create and manage computing clusters to run Hadoop, Spark, Pig and/or Hive jobs on Google Cloud Platform.

What You'll Learn?

This 1-week, accelerate course builds upon previous courses in the Data Engineering on Google Cloud Platform specialization. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to create and manage computing clusters to run Hadoop, Spark, Pig and/or Hive jobs on Google Cloud Platform. You will also learn how to access various cloud storage options from their compute clusters and integrate Google's machine learning capabilities into their analytics programs.

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Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.