Comparison between Hive Internal Tables vs External Tables

1. Objective In our previous Apache Hive blog, we have discussed Hive Data Models - Table, Partition, Bucket in detail. In this blog, we are going to discuss the two types of Hive Table such as Internal Table (Managed Table) and External table. At last, we will also cover the difference between Hive Internal tables…

Comparison Between Apache Hive Internal Tables vs External Tables.

Aapche Hive Data Model - Table, Partitions, Bucket

Hive Data Model – Learn to Develop Data Models in Hive

1. Objective We have already explained what is Hive in our previous article. In this article, we will do our best to answer questions like what is Hive data Model, what are the different types of Data Models in Hive. Our hope is that after reading this article, you will have a clear understanding of…


Apache Hive Architecture & Components

1. Objective In our previous blog, we have discussed what is Apache Hive in detail. Now we are going to discuss the Architecture of Apache Hive. We will also cover the different components of Hive in the Hive Architecture. At last, we will provide you the steps for data processing in Apache Hive in this…

Apache Hive data processing workflow.

Remote deployment mode for Hive Metastore

Hive Metastore – Different Ways to Configure Hive Metastore

1. Objective In this tutorial, we are going to introduce Hive Metastore in detail. Metastore is the central repository of Hive Metadata. It stores the meta data for Hive tables and relations. For example, Schema and Locations etc. This Hive tutorial will cover what is Hive Metastore, how the Hive Metastore works, what is Derby…


Hadoop HDFS Online Quiz Questions and Answers- Part 1

Objective This online quiz is based upon Hadoop HDFS (Hadoop Distributed File System). If you are not familiar with Hadoop HDFS so you can refer our HDFS Introduction tutorial. After studying HDFS this Hadoop HDFS Online Quiz will help you a lot to revise your concepts. This HDFS Quiz covers the objective type questions related to the fundamentals…

Test your Hadoop HDFS knowledge with Aapche Hadoop HDFS Online Quiz

Apache Hadoop Online Quiz Questions and Answers for Hadoop Interview Preparation

Unbeatable Apache Hadoop Online Quiz – Part 10

Objective To become an expert in Hadoop it is very important to revise the concepts with time. The quiz is the best way to do so. We have designed this Apache Hadoop Online Quiz to cover all the concepts of Apache Hadoop and Hadoop ecosystem components. This Hadoop Quiz also contains the answers related to…


Top 10 Real-World Bayesian Network Applications

1. Objective This tutorial is all about Bayesian Network Applications. Here we will discuss the Best 10 real-world applications of Bayesian Network is different domains such as Gene Regulatory Networks, System Biology, Turbo Code, Spam Filter, Image Processing, Semantic Search, Medicine, Biomonitoring, Document Classification, Information Retrieval etc. We will discuss all these Bayesian network Applications in detail…

List of Top 10 Real-World Bayesian Network Applications

Big Data Hadoop Online Quiz Questions – Part 9

Objective It is very important to revise your knowledge after study. To keep this in mind we have designed this Big Data Hadoop Online Quiz to refresh your Hadoop knowledge. This Hadoop Quiz will help you to more understand the Apache Hadoop concepts because it covers the multiple choice questions of all the Hadoop ecosystem…


Introduction to Probabilistic Inference in Bayesian Networks

1. Objective In our Previous tutorial, we have discussed Bayesian Network Introduction, Now we are going to describe Inference in Bayesian Networks such as Deducing Unobserved Variables, Parameter Learning, Structure Learning. At last, we will also cover various algorithms of structure learning. 2. Probabilistic Inference in Bayesian Networks Use of BN is to estimate the probability…


Introduction To Bayesian Methods

1. Objective In our previous blog, we have discussed Bayesian Network in detail. In this blog, we are going to explain you the different Bayesian methods such as Variable elimination, Dynamic Programming, and Approximation algorithms. We will also discuss some primary approximation methods i.e. Loopy belief propagation, Bounded cutset conditioning etc. in this tutorial. 2. Bayesian…