Big Data Certification | Hadoop Certification | Cloudera Certification | Edureka

[@edurekaIN]

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Hadoop Training and Certification Curriculum, Visit our Website: bit.ly/2Ozdh1I

[@felixong85]

Hi Edureka, Thanks for the video, I am a faculty member teaching programming, web scripting, and databases but having little knowledge on Linux. I am interested in both Developer & Data Analyst track, however, I doubt which track most suit me and which one I should start first. FYI I attended 4 days CCAH course before but did not go for the certification. Please advice, Thanks in Advance

[@edurekaIN]

+Onerney Felix, thanks for checking out our tutorial. You could start with either. To move to a Developer career track in Big Data, you can take up Hadoop training. The pre-requisite to go for this training is basic understanding of Java. If you would like to take up a Data Analytics career track, then you can take up R programming training. The pre-requisite to learn R is statistical knowledge. Hope this helps you in your decision. Cheers!

[@edurekaIN]

+Onerney Felix, here's the information that you will need to make a decision, but ultimately the onus of choosing the career track is on you. :) Query :- I've watched a few overview videos for this two tracks by cloudera: 1) Hadoop Tutorial: Intro To Hadoop Developer Training | Cloudera- kzbin.info/www/bejne/pH3dgKeAjLylqNk 2) Hadoop Tutorial: Introduction To Data Analyst Training | Cloudera - kzbin.info/www/bejne/gXSWlZWgZtSMkJY But I am still unclear on the actual role as Develop in Hadoop ecosystem, why do they need to write mapreduce program and how the mapreduce program they could benefit for other players in Hadoop i.e. Data Analyst and Data Scientist. Response: Hadoop ecosystem has multiple tools for data analysis like mapreduce, pig, hive, spark etc. Mapreduce is majorly used for data cleaning and bringing unstructured data into semi-structured or structured format which can be later processed by pig, hive. After birth of Apache Spark, people mostly do their mapreduce job in spark only as its very fast. Spark leverages YARN (MRv2/MapReduce version 2) to run its applications more efficiently. To understand more on roles of a developer/admins/architects in Big Data domain, watch this video from 48:00 -> kzbin.info/www/bejne/p5DNiJprh7Cij7M Query :- Also, I have another question regarding the Certification Pathway. I aware that CCA: Data Analyst will end up with CCP: Data Scientist while CCA: Spark and Hadoop Developer will end up with CCP: Data Engineer. my question is, 1) Once I obtained CCA: Data Analyst, can I pursue to CCP: Data Engineer? 2) Once I obtained CCA: Spark and Hadoop Developer, can I pursue to CCP: Data Scientist?" kzbin.info/www/bejne/iqWVeIWeaMp5g9U&lc=z13ozpqykybcgzkf4225t1vpcqb1udhwq04 Response: To Obtain CCP: Data Engineer certification, you can either take up CCA: Data Analyst or CCA: Spark and Hadoop Developer, but CCA: Spark and Hadoop Developer is preferred as few workflow topics asked in CCP: Data Engineer is not covered in CCA: Data Analyst. Even Cloudera suggests to go for CCA: Spark and Hadoop Developer before CCP: Data Engineer. Note : It is important also to note that CCA is not required to sit for a CCP exam. Hence, you may directly give CCP: Data Engineer certification exam also after having good knowledge on the topics asked in this certification. Here, Edureka's Hadoop and Spark courses will help you to get this certification. And the same courses will help you in case you opt CCA: Spark and Hadoop Developer certification. You can check out our course details here: www.edureka.co/search/big+data+analytics. To attempt any Data Science certification, you will need knowledge of Statistics, Adv Analytical skills, as well as knowledge of Machine learning. Here, our Data Science course (www.edureka.co/data-science) will help you to achieve this certification. Hope this helps. Cheers!