Every now and then, I keep seeing a new company coming up with Hadoop classes/courses. Also, my friends keep asking me which of these courses is good to take. I gave them a few tips to choose the best course suitable for them. Here are the few tips to decide which course you should attend to:
1. Does the instructor have domain expertise?
Know your instructor. You must know about the instructor’s background. Has (s)he done any big data related work? I have seen a lot of instructors who just attend a course somewhere and become instructors.
If the instructor never worked in the domain, do not take such classes. Also, avoid training institutes that do not tell you details about the instructor.
2. Is the instructor hands on? When did she/he code last time?
In the domain of technology, there is a humongous difference between one instructor who is hands-on in coding and another who is delivering based on theoretical knowledge. Also, know when the instructor worked on codes the last time. If instructor never coded, do not attend the class.
3. Does the instructor encourage & answer your questions?
There are many recorded free videos available across the internet. The only reason you would go for live classes would be to get your questions answered and doubts cleared immediately.
If the instructor does not encourage questions and answers, such classes are fairly useless.
Confused whether to take up a career in Big Data or not? Planning to invest your time in getting certified and to acquire expertise in related frameworks like Hadoop, Spark etc. and worried whether you are making a huge mistake? Just spend a few minutes reading this blog and you will get six reasons on why you are making a smart choice by selecting a career in big data.
Why Big Data?
There are several people out there who believe that Big Data is the next big thing which would help companies to spring up above others and help them position themselves as the best in class in their respective sectors.
Companies these days generate a gigantic amount of information irrespective of which industry they belong to and there is a need to store these data which are being generated so that they can be processed and not miss out on important information which could lead to a new breakthrough in their respective sector. Atul Butte, of Stanford School of Medicine, has stressed the importance of data by saying “Hiding within those mounds of data is the knowledge that could change the life of a patient, or change the world”. And this is where Big Data analytics play a very crucial role.
With the use of Big Data platforms, a gigantic amount of data can be brought together and be processed to develop patterns which would help the company in making better decisions which would help them to grow, increase their productivity and to help create value to their products and services.
Our past two Bootcamp on Machine Learning at National Singapore University and RV College of Engineering were very interesting and all the attendees found it very useful. These feedbacks prompted us to have more Bootcamps like these.
Thanks to Prof. Alankar, who invited us to conduct yet another Machine Learning Bootcamp at Indian Institute of Technology, Bombay. Before we move on to the details of Bootcamp, let us give you a brief introduction to Prof. Alankar. He is an Assistant Professor at IIT Bombay in Mechanical Engineering Department and works in the area of Multiscale Modeling of Deformation. He is a graduate of IIT Roorkee, holds a masters degree from University of British Columbia (Canada) and doctoral degree from Washington State University (USA). He has previously worked at Max-Planck Institute (Germany), Los Alamos National Laboratory (USA) and Modumetal, Inc (USA).
Machine Learning Bootcamp
So it all happened on Mar 17 where Machine Learning enthusiasts, which includes professors and students from every branch of IIT, gathered to attend the one day workshop on Machine Learning. The presenter was none other than Mr. Sandeep Giri, who has over 15 years of experience in the domain of Machine learning and Big Data technologies. He has worked in companies like Amazon, InMobi, and D. E. Shaw.
CloudxLab has hosted several webinars in the past and all of them have been successful. But this time we thought to try something different. So, we all sat together and decided to do an offline meetup for Machine Learning. Though we had done some in the past, the engagement and interaction that one can get in the online webinar are not comparable. Anyhow, we then got in touch with Drupal Bangalore and they were having this event in R. V College of engineering. And one of the topics was Introduction to Machine Learning. We found this a good opportunity to bring our knowledge in the offline circle too.
Machine Learning Bootcamp
So it all happened on Nov 17 where Machine Learning enthusiasts gathered to attend the one day workshop on Machine Learning. The presenter was none other than Mr. Sandeep Giri, who has over 15 years of experience in the domain of Machine learning and Big Data technologies. He has worked in companies like Amazon, InMobi, and D. E. Shaw.
Unless you’ve been living under the rock, you must have heard or read the term – Big Data. But many people don’t know what Big Data actually means. Even if they do then the definition of the same is not clear to them. If you’re one of them then don’t be disheartened. By the time you complete reading this very article, you will have a clear idea about Big Data and its terminology.
What is Big Data?
In very simple words, Big Data is data of very big size which can not be processed with usual tools like file systems & relational databases. And to process such data we need to have distributed architecture. In other words, we need multiple systems to process the data to achieve a common goal.
Here are the top Apache Spark interview questions and answers. There is a massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.
Our experts have curated these questions to give you an idea of the type of questions which may be asked in an interview. Hope these Apache Spark interview questions and answers guide will help you in getting prepared for your next interview.
1. What is Apache Spark and what are the benefits of Spark over MapReduce?
Spark is really fast. If run in-memory it is 100x faster than Hadoop MapReduce.
In Hadoop MapReduce, you write many MapReduce jobs and then tie these jobs together using Oozie/shell script. This mechanism is very time consuming and MapReduce tasks have heavy latency. Between two consecutive MapReduce jobs, the data has to be written to HDFS and read from HDFS. This is time-consuming. In case of Spark, this is avoided using RDDs and utilizing memory (RAM). And quite often, translating the output of one MapReduce job into the input of another MapReduce job might require writing another code because Oozie may not suffice.
In Spark, you can basically do everything from single code or console (PySpark or Scala console) and get the results immediately. Switching between ‘Running something on cluster’ and ‘doing something locally’ is fairly easy and straightforward. This also leads to less context switch of the developer and more productivity.
Spark kind of equals to MapReduce and Oozie put together.
Watch this video to learn more about benefits of using Apache Spark over MapReduce.
The advancements in the field of Big Data & Artificial Intelligence (AI) are occurring at an unprecedented pace and everyone from researchers to engineers to common folk are wondering how their lives will be affected. While almost all industries are estimating significant disruption from advancements in Big Data & AI, I believe the industry that will actually experience the maximum impact will be the Automotive or Transportation industry. Here is my perspective on how Big Data & AI will change the Automotive & Transportation industry landscape. It should appeal to engineers as well as to common folk interested in technological developments. I will discuss the challenges, existing solutions and will propose two alternative solutions.
Artificial Intelligence (AI) is the buzzword that is resounding and echoing all over the world. While large corporations, organizations & institutions are publicly proclaiming and publicizing their massive investments toward development and deployment of AI capabilities, people, in general, are feeling perplexed regarding the meaning and nuances of AI. This blog is an attempt to demystify AI and provide a brief introduction to the various aspects of AI to all such persons, engineers, non-engineers & beginners, who are seeking to understand AI. In the forthcoming discussion, we will explore the following questions:
What is AI & what does it seek to accomplish?
How will the goals of AI be accomplished, through which methodologies?
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.”
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.