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.
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 and 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.
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.”
You can run PySpark code in Jupyter notebook on CloudxLab. The following instructions cover both 1.6 and 2.3 versions of Apache Spark.
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
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.
In a recent strategic partnership that demonstrates SCMHRD’s superior vision in pedagogy, the Post Graduate Program in Business Analytics (PGPBA) has tied up with well known learning innovation firm CloudxLab. With this partnership, SCMHRD’s students will get to learn and work with Big Data and analytics tools in the same manner that enterprises learn and use them.
SCMHRD’s flagship Analytics program PGPBA with its emphasis on Big Data analytics, as opposed to standard analytics, makes it relevant to a bigger gamut of employers and hence the better choice. This emphasis isn’t easy to cater to. Providing Big Data tools to learners entails providing a cluster (a bunch of computers) that they can practice on which in turn translates to expensive infrastructure, big support teams, and the operational costs that go with everything.