datapalooza.github.io

Datapalooza

Seattle Day 1 Challenge. Seattle Day 2 Challenge. Seattle Day 3 Challenge. Sharing Data and Notebooks. Load Data into DSW. Out next Datapalooza is in Austin, TX on April 28th! Register for free now! Is an immersive experience for the data science community to learn new skills, tools and technologies. Take the Spark Fundamentals. Course and the Data Scientist Workbench Tutorial. On Big Data University. Login into your Data Scientist Workbench. Account to have a Spark runtime immediately available for you!

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Datapalooza | datapalooza.github.io Reviews

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Seattle Day 1 Challenge. Seattle Day 2 Challenge. Seattle Day 3 Challenge. Sharing Data and Notebooks. Load Data into DSW. Out next Datapalooza is in Austin, TX on April 28th! Register for free now! Is an immersive experience for the data science community to learn new skills, tools and technologies. Take the Spark Fundamentals. Course and the Data Scientist Workbench Tutorial. On Big Data University. Login into your Data Scientist Workbench. Account to have a Spark runtime immediately available for you!

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1 datapalooza

2 introduction

3 first steps

4 welcome to datapalooza

5 learn

6 run spark

7 slack

8 resources

9 session materials

10 daily challenges

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Datapalooza | datapalooza.github.io Reviews

https://datapalooza.github.io

Seattle Day 1 Challenge. Seattle Day 2 Challenge. Seattle Day 3 Challenge. Sharing Data and Notebooks. Load Data into DSW. Out next Datapalooza is in Austin, TX on April 28th! Register for free now! Is an immersive experience for the data science community to learn new skills, tools and technologies. Take the Spark Fundamentals. Course and the Data Scientist Workbench Tutorial. On Big Data University. Login into your Data Scientist Workbench. Account to have a Spark runtime immediately available for you!

INTERNAL PAGES

datapalooza.github.io

1

Analyzing Weather Data - Datapalooza

http://datapalooza.github.io/howtos/analyzing-weather-data

Seattle Day 1 Challenge. Seattle Day 2 Challenge. Seattle Day 3 Challenge. Sharing Data and Notebooks. Load Data into DSW. Go to Data Scientist Workbench. And click the My Notebooks. Use the search bar to import the following notebooks. Weather Data Preparation: https:/ share.knowledgeanyhow.org/#/api/v1/workbench/10.114.214.68/shares/L9ftHk00qCVG8qL/Weather%20Data%20Preparation%20v2.ipynb. You can get the API key. For more details on sharing data and notebooks, check this guide. Provided by Read the Docs.

2

Data Scientist Workbench - Datapalooza

http://datapalooza.github.io/environment/dswb

Seattle Day 1 Challenge. Seattle Day 2 Challenge. Seattle Day 3 Challenge. Requesting your own Data Scientist Workbench. Sharing Data and Notebooks. Load Data into DSW. For more information, take the Data Scientist Workbench Tutorial. On Big Data University. Requesting your own Data Scientist Workbench. Go to Data Scientist Workbench. And click the big blue button. After completing the registration, you will receive an e-mail with instructions. Go to Data Scientist Workbench. And click the My Notebooks.

3

Sharing Data and Notebooks - Datapalooza

http://datapalooza.github.io/howtos/sharing-data-notebooks

Seattle Day 1 Challenge. Seattle Day 2 Challenge. Seattle Day 3 Challenge. Sharing Data and Notebooks. Exporting Data and Notebooks. Importing Data and Notebooks. Load Data into DSW. Sharing data and notebooks can be very useful for team collaboration. Exporting Data and Notebooks. Go to Data Scientist Workbench. And click the My Notebooks. Find the file or notebook you want to share, and click the twistie (. To the left of it. Click the Show Link. Link to get the link to the shared notebook.

4

Download Sample Data - Datapalooza

http://datapalooza.github.io/environment/download-sample-data

Seattle Day 1 Challenge. Seattle Day 2 Challenge. Seattle Day 3 Challenge. Sample Data - San Francisco. Sharing Data and Notebooks. Load Data into DSW. Sample Data - San Francisco. We are providing an example data set to get you started, but we encourage you to use use your own. You can download it in the link below. Next, you'll probably want to extract the. File and upload the. Files to your workbench. Provided by Read the Docs.

5

Seattle Day 1 Challenge - Datapalooza

http://datapalooza.github.io/challenges/seattle-day-1

Seattle Day 1 Challenge. Seattle Day 2 Challenge. Seattle Day 3 Challenge. Sharing Data and Notebooks. Load Data into DSW. Using Data Scientist Workbench. Determine the top 5 winning teams and their average scores during the 2015-6 regular. Season. You should also determine the best and worst teams for turnovers. Get the exercise and the data by importing the Jupyter notebook below. Copy the url above and import it. In your workbench by pasting it in the appropriate box. On the Zeppelin front page.

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Seattle Day 1 Challenge. Seattle Day 2 Challenge. Seattle Day 3 Challenge. Sharing Data and Notebooks. Load Data into DSW. Out next Datapalooza is in Austin, TX on April 28th! Register for free now! Is an immersive experience for the data science community to learn new skills, tools and technologies. Take the Spark Fundamentals. Course and the Data Scientist Workbench Tutorial. On Big Data University. Login into your Data Scientist Workbench. Account to have a Spark runtime immediately available for you!

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