Polybase External Data Source To Hadoop

I take a look at connecting to a Hadoop cluster for Polybase:

There are a couple of things I want to point out here.  First, the Type is HADOOP, one of the three types currently available:  HADOOP (for Hadoop, Azure SQL Data Warehouse, and Azure Blob Storage), SHARD_MAP_MANAGER (for sharded Azure SQL Database Elastic Database queries), and RDBMS (for cross-database Elastic Database queries on Azure SQL Database).

Second, the Location is my name node on port 8020.  If you’re curious about how we figure that one out, go to Ambari (which, for me, is http://sandbox.hortonworks.com:8080) and go to HDFS and then Configs.  In the Advanced tab, you can see the name node:

There are different options available for different sources, but this post is focused on Hadoop.

Related Posts

Hyperparameter Tuning with MLflow

Joseph Bradley shows how you can perform hyperparameter tuning of an MLlib model with MLflow: Apache Spark MLlib users often tune hyperparameters using MLlib’s built-in tools CrossValidator and TrainValidationSplit.  These use grid search to try out a user-specified set of hyperparameter values; see the Spark docs on tuning for more info. Databricks Runtime 5.3 and 5.3 ML and above support […]

Read More

TensorFrames: Spark Plus TensorFlow

Adi Polak gives us an introduction to TensorFrames: In all TensorFrames functionality, the DataFrame is sent together with the computations graph. The DataFrame represents the distributed data, meaning in every machine there is a chunk of the data that will go through the graph operations/ transformations. This will happen in every machine with the relevant […]

Read More

Categories

November 2016
MTWTFSS
« Oct Dec »
 123456
78910111213
14151617181920
21222324252627
282930