How CloudxLab Helped Our User With A Job

We recently had a heart warming moment – one of our subscribers had been made an offer by a well known MNC.  His thank you note to us made our day.  Meara Laxman had subscribed to CloudxLab to practice his Big Data skills and as per him got more than he expected.  Here is our interview with him.

CxL: How did CloudxLab help you learn Big Data tools better?
Laxman: Cloudxlab helped me a lot in learning all the Bigdata eco system components. I had gained enough theoretical knowledge on big data tools from the internet but I ran into trouble trying to practice due to my incompatible system requirements and configurations. That is when I found Cloudxlab and subscribed to it.  I got good exposure to the practical aspects as Cloudxlab provided some sample lab session video material which are very clear and easy to practice and understand. Moreover, the Cloudxlab team helped me every time I had an issue and clarified all my queries.

CxL: How did CloudxLab help you with finding a new job?
Laxman: CloudxLab played a key role in getting me my new job. I lacked Continue reading “How CloudxLab Helped Our User With A Job”

How to install Python packages on CloudxLab?

In this blog post, we will learn how to install Python packages on CloudxLab.

Step 1-

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.

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CloudxLab Reviews

Jose

Jose Manual Ramirez Leon

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.

I earnestly recommend it to everyone.

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Building Real-Time Analytics Dashboard Using Apache Spark

Apache Spark

 

In this blog post, we will learn how to build a real-time analytics dashboard using Apache Spark streaming, Kafka, Node.js, Socket.IO and Highcharts.

Problem Statement

An e-commerce portal (http://www.aaaa.com) wants to build a real-time analytics dashboard to visualize the number of orders getting shipped every minute to improve the performance of their logistics.

Solution

Before working on the solution, let’s take a quick look at all the tools we will be using:

Apache Spark – A fast and general engine for large-scale data processing. It is 100 times faster than Hadoop MapReduce in memory and 10x faster on disk. Learn more about Apache Spark here

Python – Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Learn more about Python here

Kafka – A high-throughput, distributed, publish-subscribe messaging system. Learn more about Kafka here

Node.js – Event-driven I/O server-side JavaScript environment based on V8. Learn more about Node.js here

Socket.io – Socket.IO is a JavaScript library for real-time web applications. It enables real-time, bi-directional communication between web clients and servers. Read more about Socket.io here

Highcharts – Interactive JavaScript charts for web pages. Read more about Highcharts here

CloudxLab – Provides a real cloud-based environment for practicing and learn various tools. You can start practicing right away by just signing up online.

How To Build A Data Pipeline?

Below is the high-level architecture of the data pipeline

Data Pipeline
Data Pipeline

Our real-time analytics dashboard will look like this

Real-Time Analytics Dashboard
Real-Time Analytics Dashboard

Continue reading “Building Real-Time Analytics Dashboard Using Apache Spark”

Cloudera Certification Practice On CloudxLab

How does CloudxLab help with preparing for Cloudera, Hortonworks, and related certifications?  Here is an interview with one of our users who
has successfully completed the ‘Cloudera Certified Associate for Spark andUntitled Hadoop Developer‘ (CCA175) certification using CloudxLab for hands-on practice. Having completed the certification, Senthil Ramesh who is currently working with Accenture, gladly discussed his experience with us.

CxL: How did CloudxLab help you with the Cloudera certification and help you learn Big Data overall?

Senthil: CloudxLab played an important part in the hands on experience for my big data learning. As soon as I understood that my laptop may not be able to support all the tools necessary to work towards the certification, I started looking for a cloud based solution and found CloudxLab. The sign up was easy and everything was setup in a short time. I must say, without doing hands on it would have been harder to crack the certification. Thanks to CloudxLab for that.

CxL: Why CloudxLab and not a Virtual Machine?

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CloudxLab Joins Hands With TechM’s UpX Academy

cloudxlab+upx

CloudxLab is proud to announce its partnership with TechMahindra’s UpX Academy.  TechM’s e-learning platform, UpX Academy, delivers courses in Big Data & Data Sciences.  With programs spanning over 6-12 weeks and covering in-demand skills such as Hadoop, Spark, Machine Learning, R and Tableau, UpX has tied up with CloudxLab to provide the latest to its course takers.

Run by an excellent team, we at CloudxLab are in awe of the attention UpX pays to the users needs.  As Sandeep (CEO at CloudxLab) puts it, “We were not surprised when UpX decided to come on board.  Their ultimate interest is in keeping their users happy and we are more than glad to work with them on this.”

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Running PySpark in Jupyter / IPython notebook

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

Step 1 – Login to web console

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Using TensorFlow on CloudxLab

We are glad to inform you that the TensorFlow is now available on CloudxLab. In this example, we will walk you through a basic tutorial on how to use TensorFlow.

What is TensorFlow?
TensorFlow is an Open Source Software Library for Machine Intelligence. It is developed and supported by Google and is being adopted very fast.

What is CloudxLab?
CloudxLab provides a real cloud-based environment for practicing and learn various tools. You can start learning right away by just signing up online.

Continue reading “Using TensorFlow on CloudxLab”

Access S3 Files in Spark

In this blog post we will learn how to access S3 Files using Spark on CloudxLab.
Please follow below steps to access S3 files:

INSOFE Ties Up With CloudxLab

insofe+cloudxlab

Adding to an already impressive list of collaborations, International School of Engineering (INSOFE) has recently signed up with CloudxLab (CxL).  This move will enable INSOFE’s students to practice in a real world scenario through the cloud based labs offered by CloudxLab.

INSOFE’s flagship program, CPEE – Certificate Program in Engineering Excellence  – was created to transform “individuals into analytics professionals”.  It is listed at #3 between Columbia and Stanford at #2 and #4 respectively, and holds the distinction of being the only institute outside the US to hold a spot in this list by CIO.com.  This within an admirable 3 years of inception.  Having established itself as one of the top institutes globally, INSOFE is ceaselessly on the look out for innovative ways to engage and enhance student experience.

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