Run any ad-hoc SQL query in Power BI desktop

It is not documented clearly how to run any arbitrary SQL query in Power BI desktop. It is definitely possible to easily run any SQL query as below: First click on Edit Queries in the top ribbon and then go to Advanced Editor and type in the SQL query as given in the picture below. … Continue reading Run any ad-hoc SQL query in Power BI desktop

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Connect Microsoft Power BI desktop to Cloudera Impala or Hive with Kerberos

Microsoft Power BI desktop is free and is able to successfully connect to a Cloudera Impala or hive database with Kerberos security enabled. The below blog only shows Impala driver but you can use same procedure with Hive driver also. The basic steps are: Install the MIT Kerberos client for Windows and make sure you … Continue reading Connect Microsoft Power BI desktop to Cloudera Impala or Hive with Kerberos

Use Pandas in Jupyter PySpark3 kernel to query Hive table

Following python code will read a Hive table and convert to Pandas dataframe so you can use Pandas to process the rows. NOTE: Be careful when copy/paste the below code the double quotes need to be retyped as they get changed and gives syntax error. -------------------------------------------------------------------------------------------------------------- import pandas as pd from pyspark import SparkConf, SparkContext … Continue reading Use Pandas in Jupyter PySpark3 kernel to query Hive table

Tableau Desktop connect to Cloudera Hadoop using Kerberos

Reference: http://website4everything.blogspot.com/2015/04/connecting-tableau-to-hive-server-2.html The basic steps to connect Tableau to Cloudera Hive or Impala with Kerberos authentication involves the following steps: Download and Install the MIT Kerberos Client for WindowSet the C:\ProgramData\MIT\Kerberos5\krb5.ini with  the Kerberos realm and server details(Optional) KRB5CCNAME system environment variable may need to be set at times to a temporary value: FILE:C:\temp\kerberos\krb5cacheStart the MIT … Continue reading Tableau Desktop connect to Cloudera Hadoop using Kerberos

Run a Python program to access Hadoop webhdfs and Hive with Kerberos enabled

Following python code makes REST calls to a secure Kerberos enabled Hadoop cluster to use webhdfs REST api to get file data: You need to first run $ knit userid@REALM to authenticate and initiate the Kerberos ticket for the user.Make sure the python modules requests and requests_kerberos have been installed. Otherwise install it for example: … Continue reading Run a Python program to access Hadoop webhdfs and Hive with Kerberos enabled

Business Intelligence, ETL and Data Science tools

Free or Opensource BI / ETL tools: Talend = ETL tool, leader in Gartner Magic Quadrant Streamsets = ETL tool Apache Nifi = ETL tool Pentaho = desktop and server version BI/ETL tool HUE = Hadoop Analytics server, BI, Query tool KNIME = Data Science leader in Gartner Magic Quadrant 2017 desktop version Jupyter Notebook … Continue reading Business Intelligence, ETL and Data Science tools

Install Jupyterhub

Jupyterhub Prerequisites: Before installing JupyterHub, you will need: a Linux/Unix based system and will need over 10GB of free space Python 3.4 or greater. An understanding of using pip or conda for installing Python packages is helpful. Installation using conda: Check if Anaconda package is already installed: $ dpkg -l | grep conda $ rpm -ql conda        -- if using rhel/centos If Anaconda … Continue reading Install Jupyterhub