Errata

Introduction to Apache Spark

Errata for Introduction to Apache Spark

Submit your own errata for this product.

The errata list is a list of errors and their corrections that were found after the product was released. If the error was corrected in a later version or reprint the date of the correction will be displayed in the column titled "Date Corrected".

The following errata were submitted by our customers and approved as valid errors by the author or editor.

Color key: Serious technical mistake Minor technical mistake Language or formatting error Typo Question Note Update

Version Location Description Submitted By Date submitted Date corrected
Pre-Flight Check
1:57

The link provided for training resources at 1:57 no longer works.

Paco refers to a PDF throughout the course and copies and pastes code from it.

This PDF can be found here...
http://training.databricks.com/workshop/itas_workshop.pdf

The download link for Spark and other files can be now found here...
http://training.databricks.com/workshop/usb.zip

Note from the Author or Editor:
Thank you for catching that. Databricks reworked their website and the URLs changed.

Note to Safari admins: please update the "Resources" to include the URLs as described above.

 Anonymous  Apr 12, 2017 
Other Digital Version
15
It's video 15

It appears the workshop material was built at different times and there was inconsistency in the set up. In video 1 we were told to download the code and data (usb.zip) from the Databricks site and the code contains Spark 1.1. Earlier videos show 1.1 being used in the lectures.

In video 15 we switch to dataframe, and magically Paco's laptop is now using Spark 1.3 since dataframe was introduced in 1.3. Why can't the workshop material be updated to include a 1.3 version of Spark? Now I have to build a 1.3 version of Spark, but the sample code, data and build tools run off the 1.1 version of the directories.

Note from the Author or Editor:
Definitely, the video was based on Spark 1.1 then a section was added for Spark 1.3 features. What would be best is to update for Spark 1.6 -- we talked with Databricks about this afternoon.

 Nin Lei  Dec 21, 2015