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Month: April 2016

Introduction to the MEAN Stack

MEAN stack
Mean stands for MongoDB, Express, AngularJS, Node.js. MEAN is used to build modern web applications. In this blog we are going to get a brief introduction on MEAN and how to install it in your system. As the acronym of MEAN is MongoDB, Node.js, Express, and AngularJS, it includes...
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Troubleshoot MapReduce Jobs in Hadoop – Part 1

Troubleshoot-MapReduce-Jobs-in-Hadoop-part-1
In this blog, we will discuss about troubleshooting common errors which may occur while executing a Java Map Reduce program. We will be publishing a series of blogs where we will be discussing the ways to troubleshoot the frequently faced errors in MapReduce ,Pig and Hive. In the first...
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Step-by-Step Guide to Become a Big Data Developer

bigdata (1)
In the current job scenario, where Big Data is one of the most sought after skill in IT industry, learning Big Data skills can surely open door to a highly lucrative career. But the big question that boggles everyone’s mind is, “How to become a Big Data Hadoop Developer?”...
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Exploratory Data Analysis: Graphical Data Analysis with R

Exploratory-Data-Analysis
In this blog, we will discuss about visualizing the most important attributes of data through graphical exploratory data analysis with R. We will also learn about the suitability of visualization in different scenarios. We recommend users to go through our previous blogs on Exploratory Data Analysis to have better...
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Build Your First Application in Spark

1st-app-in-spark
In this blog, we will discuss about implementing your first Spark application by executing the wordcount program and then create a histogram showing the count for various words using Matplotlib package in Python. We recommend readers to refer our previous blogs on Spark installation and RDD operations. Link 1:...
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Scala Tutorial Part 4 – Advanced Features of Scala

Functional-Programming
In this blog, we will discuss about the advanced features of Scala like Pattern Matching, Exception Handling, Option[T], Closure, File Operations. Before going through this blog, we recommend you to got through our previous blogs on Scala which will be helpful to get the concepts discussed ahead. Basics of...
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Bucketing in Hive

Bucketing-In-Hive
In our previous post, we have discussed on the concept of Partitioning in Hive. In this post, we will be discussing the concept of Bucketing in Hive, which gives a fine structure to Hive tables while performing queries on large datasets. As we all know, Partition helps in increasing...
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Python Statements

Python-turorial-part3
In simple terms, statements are used to tell Python what your programs should do. In this blog, we will discuss about Python statements. Before we proceed further, we should understand what expressions are and how to evaluate them. An expression is a combination of values, variables, and operators. If...
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Spark Use Case – Olympics Data Analysis

Olympics-Data-Analysis
In this blog, we will discuss on the analysis of Olympics dataset using Apache Spark in Scala. Olympics data set is a publically available data. Using this dataset, we will evaluate some problem statements such as, finding the number of medals won by each country in swimming, finding the...
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Spark Use Case – Titanic Data Analysis

titanic cover pic
There have been huge disasters throughout the history of mankind, but the magnitude of the Titanic’s disaster ranks as one of the highest. So much so that the subsequent disasters have always been described as “Titanic in proportion,” implying huge losses. Anyone who has ever read about the Titanic...
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