If you have landed on this page then you are most likely aspiring to learn Hadoop ecosystem of technologies and tools. Why not make your goal measurable and timeboxed? Why not have a plan in place and an approach to get certified? Let me help you with these two questions in this series of blog posts.
Getting a certification is not about obtaining a piece of paper, it is more about the learning you go through in order to get your skills to a certain industry standard benchmark. It is about leveraging that learning in solving real time or real time like production problems.
This series of posts is intended to help aspiring big data professionals in increasing their chances of getting certified. I am going to create a bunch of scenarios that focus on bare minimum technologies that any big data professional should be hands on with (especially the ones on the technical side like developers and architects). I am also going to post video walkthrough of the solution to each of those problems. Going through the video walkthrough helps you learn the concepts in a more real-time like set up. Hence, I am not inclined towards creating individual tutorial videos.
All of the videos and the posts are going to be certification focussed true to the spirit of this series of posts. Solving these problem scenarios not only help you in your preparation for the certification but also tremendously help you in validating the skills your have acquired in dealing with the hadoop ecosystem.
Getting a certification is not about obtaining a piece of paper, it is more about the learning you go through in order to get your skills to a certain industry standard benchmark. It is about leveraging that learning in solving real time or real time like production problems.
This series of posts is intended to help aspiring big data professionals in increasing their chances of getting certified. I am going to create a bunch of scenarios that focus on bare minimum technologies that any big data professional should be hands on with (especially the ones on the technical side like developers and architects). I am also going to post video walkthrough of the solution to each of those problems. Going through the video walkthrough helps you learn the concepts in a more real-time like set up. Hence, I am not inclined towards creating individual tutorial videos.
All of the videos and the posts are going to be certification focussed true to the spirit of this series of posts. Solving these problem scenarios not only help you in your preparation for the certification but also tremendously help you in validating the skills your have acquired in dealing with the hadoop ecosystem.
Target Audience:
Anyone with some programming background, a little bit of unix\linux skills, some basic understanding of SQL and the concept of a database and a lot of zeal to learn can easily follow the videos.
I strongly recommend that you go through the certification preparation plan\strategy video before going through the rest of the videos and links on this blog. Click the link below for the youtube playlist of videos related to this topic.
Click here for the video version of this series. This takes you to the youtube playlist of videos.
Click here for the video version of this series. This takes you to the youtube playlist of videos.
Pre-Requisite: Cloudera quickstart VM 5.8.0 and (if possible) Basic knowledge on HDFS, Sqoop, Flume, Hive and Spark
