Getting Started With Spark

I discuss getting up and running with Databricks Community Edition:

There are a couple of notes with these clusters:

  1. These are not powerful clusters.  Don’t expect to crunch huge data sets with them.  Notice that the cluster has only 6 GB of RAM, so you can expect to get maybe a few GB of data max.

  2. The cluster will automatically terminate after one hour without activity.  The paid version does not have this limitation.

  3. You interact with the cluster using notebooks rather than opening a command prompt.  In practice, this makes interacting with the cluster a little more difficult, as a good command prompt can provide features such as auto-complete.

Databricks Community Edition has a nice interface, is very easy to get up and running and—most importantly—is free.  Read the whole thing.

Related Posts

Connect(); Announcements, Including Azure Databricks

James Serra has a wrapup of Microsoft Connect(); announcements around the data platform space: Microsoft Connect(); is a developer event from Nov 15-17, where plenty of announcements are made.  Here is a summary of the data platform related announcements: Azure Databricks: In preview, this is a fast, easy, and collaborative Apache Spark based analytics platform optimized for Azure. […]

Read More

Getting Started With Zeppelin

Sangeeta Gulia shows us how to get started building notebooks with Apache Zeppelin on top of Spark: There are 3 interpreter modes available in Zeppelin. 1) Shared Mode In Shared mode, a SparkContext and a Scala REPL is being shared among all interpreters in the group. So every Note will be sharing single SparkContext and single […]

Read More

Categories

June 2016
MTWTFSS
« May Jul »
 12345
6789101112
13141516171819
20212223242526
27282930