This statement is from the Spark's website itself.
Regards, Sandeep Giri, +1 347 781 4573 (US) +91-953-899-8962 (IN) www.KnowBigData.com. <http://KnowBigData.com.> Phone: +1-253-397-1945 (Office) [image: linkedin icon] <https://linkedin.com/company/knowbigdata> [image: other site icon] <http://knowbigdata.com> [image: facebook icon] <https://facebook.com/knowbigdata> [image: twitter icon] <https://twitter.com/IKnowBigData> <https://twitter.com/IKnowBigData> On Wed, Aug 12, 2015 at 10:42 PM, Peyman Mohajerian <mohaj...@gmail.com> wrote: > I think this statement is inaccurate: > Q7: What are Actions? A: An action brings back the data from the RDD to > the local machine - > > Also I wouldn't say Spark is 100x faster than Hadoop and it is memory > based. This is the kind of statement that will not get you the job. When it > comes to shuffle it has to write to disk, it is a faster in many cases but > 100x is just some marketing statement in a very narrow use cases. > > > > > > > On Thu, Jul 30, 2015 at 4:55 AM, Sandeep Giri <sand...@knowbigdata.com> > wrote: > >> i have prepared some interview questions: >> http://www.knowbigdata.com/blog/interview-questions-apache-spark-part-1 >> http://www.knowbigdata.com/blog/interview-questions-apache-spark-part-2 >> >> please provide your feedback. >> >> On Wed, Jul 29, 2015, 23:43 Pedro Rodriguez <ski.rodrig...@gmail.com> >> wrote: >> >>> You might look at the edx course on Apache Spark or ML with Spark. There >>> are probably some homework problems or quiz questions that might be >>> relevant. I haven't looked at the course myself, but thats where I would go >>> first. >>> >>> >>> https://www.edx.org/course/introduction-big-data-apache-spark-uc-berkeleyx-cs100-1x >>> >>> https://www.edx.org/course/scalable-machine-learning-uc-berkeleyx-cs190-1x >>> >>> -- >>> Pedro Rodriguez >>> PhD Student in Distributed Machine Learning | CU Boulder >>> UC Berkeley AMPLab Alumni >>> >>> ski.rodrig...@gmail.com | pedrorodriguez.io | 208-340-1703 >>> Github: github.com/EntilZha | LinkedIn: >>> https://www.linkedin.com/in/pedrorodriguezscience >>> >>> >
