Member since
07-30-2013
165
Posts
55
Kudos Received
40
Solutions
My Accepted Solutions
Title | Views | Posted |
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123305 | 01-02-2016 06:01 AM | |
5892 | 12-14-2015 07:03 AM | |
4304 | 12-01-2015 06:33 PM | |
1576 | 10-19-2015 04:06 AM | |
5277 | 09-15-2015 11:53 AM |
02-09-2016
06:12 PM
That’s not correct. Please see the release notes http://www.cloudera.com/documentation/enterprise/5-3-x/topics/cdh_rn_spark_ki.html SparkSQL just exited alpha and is far from stable. As such, SparkSQL is currently considered a “preview” in CDH. We love it and we’re dedicating a lot of engineering resources to bring it to our standards but as I’m sure you’re aware, it’s mainly Scala (pyspark lags), it’s very buggy, it causes all kinds of havoc (esp. with Hive)….the list goes on. Once we get it running at scale, we’ll support it fully in our distribution and we’ll test it. But today, it’s just not ready.
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01-16-2016
09:24 PM
You can also find this information on our website: http://www.cloudera.com/content/www/en-us/training/certification/2016_developer_changes.html
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01-02-2016
06:01 AM
16 Kudos
Our Cloudera Developer Training for Spark and Hadoop teaches you everything you need to know for the exam and gives you days worth of hands-on practice. We both train and test the same objectives (although we train on more of course) If you do not wish to take our training or cannot afford it, there are hundreds of free resources on the internet. For example, if I point my browser to the List of objectives from our website. I then copy the first objective and search on it, I get dozens of free docs and training on the skill. • Import data from a MySQL database into HDFS using Sqoop • s qoop.apache.orgdocs on importing data using Sqoop • Importing Data into HDFS using Sqoop • Video demonstration of user importing data from MySQL to HDFS using Sqoop And there are dozens more. As the exam page also tells you that you have access to some of these during the exam, I suggest becoming intimate with the those. If you take some time to search each objective and learn the skill, the exam will be easy. If you don’t want to take the time to learn on your own, and you’re not learning on your job, then training is your answer. This is always true, of all technical skills, not just this one exam. And part of the learning is figuring out which free resources are the best if that’s the route you choose to go, or which paid ones are. As for the style of question, it’s quite straightforward: for the above objective, you’ll be given the location of a MySQL database on one of the nodes and you’ll be required to use Sqoop to import a portion or all of that data from the MySQL instance we give to the instance of HDFS we give you. It's really that straightforward if you take the time to learn the skills.
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12-15-2015
06:29 AM
2 Kudos
We list the exam objectives. I’d recommend you do a comparison on our website. I would say that exam helps with CCA (though you need to pick up Spark which you should anyway) but it’d be harder to tell with CCP where you could use MapReduce or Spark (you’re choosing). For example, it says that you learned ingest with Sqoop and Flume but to what level? Do you know how to limit the ingest, do incremental ingests, do you know how to evaluate the data, and transform it and land it on HDFS in a particular format? Do you understand various file formats and compression such that if we give you a scenario you could look at an evaluate whether the data should land in a row-based or columnar format, what compression and partitioning it should get, etc. For CCP, you should know all that -- and know it well (and much more of course)-- and you have to be able to do all those things, actually write the code or use the tools on the command-line to process the data. In CCA, you have to be able to do it but we’re easier on you. We say “ingest this with Sqoop and land it this way,” or “write the data to Avro” or “evolve this schema” and so on.
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12-15-2015
06:16 AM
Apologies for the error. You have one full year from the date of purchase on all our exams save the ones retiring. This is correct: Please note that you will only be able to access this item until Wednesday, 12 October 2016 PDT. This is wrong: You may schedule and take your exam from your home or office location. Cloudera exams are no longer offered at testing centers. Your registration expires on 31 December, 2015 at 11:59PM US Pacific Time. You must schedule and take your exam before the expiration date as exam registrations cannot be extended. The error arose when we set the expiration of other exams, the LMS triggered that warning in all exams until someone pointed it out like you are and we were able to correct it.
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12-14-2015
07:03 AM
1 Kudo
It's hard to say without knowing the quality of the training and the quality of your practice and your aptitude. We've put a fairly representative question on http://www.cloudera.com/content/www/en-us/training/certification/ccp-data-engineer.html . If that sample is immediately obvious and if you look at is and could solve it without too much trouble, then perhaps. If not, then CCA Spark and Hadoop Developer is more appropriate. The distinction is that with CCA, we're validating discrete skills, in CCP, we're evaluating both your skills and higher level mastery skills like analysis, application, evaluation, and synthesis (to put it into traditional Bloom's taxonomy terms).
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12-01-2015
06:33 PM
You will always have a license number and you will always have a public transcript that shows you passed CCDH on CDH version X on date X. After all, a certification is a measurement at a point in time of your achievement at that time. That said, as the number of scenarios for which MapReduce is the answer, or even the preferred programming framework, for a workload decreases, the value of that certification diminishes over time. We hear from our customers and from hiring managers that a stale certification is worse than none. I recognize their point though I perhaps wouldn't go that far. However, we need to balance the market's desire to delineate that there is an old way and there's what is increasingly being used as newer frameworks come into the platform. This is why we're re-branding, going to hands-on exams, and requiring recertification -- so that the program can keep pace without needing to completely change paradigms. We'll need to be honest to our customers and state that the version of CDH (say version 3) is retired and mark the certification program as retired since it is, and promote and give benefits to those who are current. As the version of CDH retires (the EOM dates are http://www.cloudera.com/content/www/en-us/legal/support-lifecycle-policy.html), we'll move those certifications to retired status in the transcript portion on our verification portal (current, retired, and exam transcript are those sections)
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09-15-2015
11:53 AM
More information to understand the context read Mike Olson on why Spark should replace MapReduce back in 2013: http://vision.cloudera.com/mapreduce-spark/ read our more recent announcement: http://vision.cloudera.com/one-platform/ join a webinar to hear Doug Cutting talk about it: http://go.cloudera.com/OnePlatformInitiative or read the press release: http://www.cloudera.com/content/cloudera/en/about/press-center/press-releases/2015/09/09/cloudera-launches-effort-to-unite-apache-spark-and-apache-hadoop.html
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