Harjeet's blog

I am back with one more interesting Post on Spark. One of my Youtube channel's viewer requested a Video post on Dynamic Resource allocation in spark. I have seen in my experience that lot of folks enable dynamic resource allocation in spark , but dont start external shuffle service. so eventually they are not using dynamic resource allocation as it is mandatory. External shuffle service takes away responsibility of shuffling data from executors and let them focus on execution of tasks. This helps us make optimum utilization of resources and enables dynamic resource allocation. External shuffle service is also implemented in Yarn using auxiliary api provided by yarn. You can enable dynamic resource allocation and external shuffle in yarn by setting properties in yarn-site.xml. I have shared the details of all these things in the video.  Here are the links      I hope this video was useful. Please subscribe to our channel. Please also let me know if you have any question

Hi Friends, I am back with one more video. I hope you are enjoying the series of the videos on spark and hadoop interview questions. as part of today's video we are going to explain  1. what is Architecture of spark. 2. what is role of Driver 3. what is role of cluster manager 4. what is role of spark context 5. how a job is executed on spark I hope you will enjoy this video. please share feed back on this video Please subscribe our channel and share video with your friends

I have been creating videos related to Hadoop and spark from some time now. So as part of the series i am sharing video about why spark is better than Hadoop. As part of this video i have explained follwoing 1. How spark avoids creating jvms again and again. Spark reuses the resources 2. Caching in spark 3. When spark gives far more faster results than Hadoop. 4. Code in spark is very compact It must be noted that there are lot of cases when Hadoop is better than spark.  I hope you will like the video. Please subscribe to my channel. Please also let us know. what are some other topics that you want a video on. 

This post talks about a way to find out if a tree is binary search tree. this is very common interview question for data structures.  following is the link for video to find out What is Binary search Tree. Binary search Tree is also called BST Thank you for watching the video. Please share and subscribe our channel. Please also share your thoughts that what other topics you want us to cover as part of video and post.

In This post we are going to find out that how we can write a algorithm to find if a Binary tree is Binary Search Tree or not. This is a very common data structure based interview question. I have tried to keep things simple while explaining the solution.  Here is the video of solution Thank You for watching this video. Please subscribe and share our channel. Please let us know, what other type of videos you want us to make.

In This post, we have covered introductory concepts of Hadoop. following are the topics covered. 1. What is Big data 2. Introduction to Hadoop and origin. 3. Master Slave Architecture 4. What is Hive 5. What is Pig 6. what is HDFS 7. What is Map Reduce Following is the link of Video Thank You For watching the Video. Please subscribe and share our channel. Please also share your thoughts on what other big data concepts and hadoop concepts video we should prepare for you

This Post Discuss about basics of HDFS. following are the topics covered 1. What is HDFS 2. Architecture of HDFS 3. How data is accessed in HDFS 4. Concept of Namenode, Datanode and Secondary Namenode 5. advantages of Using HDFS 6. Replication Factor in HDFS 7. Block size in HDFS 8. Why HDFS is better Filesystem for Big Data Following is the link for video Thank you for watching Video. Please subscribe to out channel and share your thoughts. Please also tell us on what other big data topics you want videos.

This Post covers basics of Hive. It covers following concepts of Hive 1. What is Hive 2. Hive Architecture 3. Hive Tables  4. Internal Table and external table 5. How to Create Internal table 6. How to create external table 7. How to load data in a Hive table data can be loaded from local filesystem or from hdfs file system. Please watch the following video  Please share your comments and views

As Past of This Post , I am sharing my thoughts on Some Hadoop Interview questions. Please share your comments and thoughts Hadoop Combiner Thanks For watching This. Please subscribe channel for more Hadoop Interview questions