We recently had a heart warming moment – one of our subscribers had been made an offer by Tata Consultancy Services. 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.
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.
CxL: Why CloudxLab and not a Virtual Machine?
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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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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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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.
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