In this blog post, we will learn how to install Python packages on CloudxLab.
Create the virtual environment for your project. A virtual environment is a tool to keep the dependencies required by different projects in separate places, by creating virtual Python environments for them. Login to CloudxLab web console and create a virtual environment for your project.
It is really a great site. As a 37-year-old with a masters
in mechanical engineering, I decided to switch careers
and get another masters. One of my courses was
Big Data and, at the beginning, I was completely lost
& I was falling behind in my assignments and after
searching the internet for a solution, finally found CloudxLab.
Not only do they have any conceivable Big Data
technology on their servers, they have superb
customer support. Whenever I have had a doubt,
even in debugging my own programs, they have
answered me with the correct solution in a few hours.
We are glad to inform that now you can run PySpark code in Jupyter notebook on CloudxLab.
What is Jupyter notebook?
The IPython Notebook is now known as the Jupyter Notebook. It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media. For more details on the Jupyter Notebook, please see the Jupyter website.
Please follow below steps to access the Jupyter notebook on CloudxLab
In this blog post we will learn how to access various versions of Spark on CloudxLab. Spark 1.2.1 will be helpful if you are preparing for CCA (Cloudera Certified Associate). Spark 1.6 will be useful for practicing SparkR. Please note that Spark 1.2.1, Spark 1.6 and Spark 2.0.1 may not integrate tightly with Hadoop, but you will be able to run most of the commands.
CloudxLab is a cloud based virtual lab for practicing Big Data (Hadoop, Spark etc), Machine Learning and Deep Learning technologies.
While training students on Big Data technologies at KnowBigData, we realized that our learners were facing a lot of trouble downloading and configuring virtual machines (VM) provided by major Hadoop vendors. Most often, these virtual machines were slow and would not allow for use of any other application on the same computer.
Moreover, working on a VM did not give a real world experience as one is still dealing with only one machine instead of a cluster of machines which is the whole idea of Big Data technologies which are primarily based on distributed computing.
This is how CloudxLab was conceptualized in an effort to resolve these pain points of learners. The video below will help understand how one of our clients – Simplilearn – is using CloudxLab to provide a better learning experience to their course takers.