Bhavesh

79 Posts
Customer Complaints Analysis Part 1

Customer Complaints Analysis Part 1

Bigdata Hadoop, , , ,
In this article, We will analyze Consumer Complains recorded by US government from US citizens about financial products and services using Big Data Technology, We will see step by step process execution of the project. Problem Statement: Analyze the data in Hadoop Eco-system to: Get the number of complaints filed for each company.Get the number of complaints filed under each product.Get the total number of complaints filed from a particular locationGet the list of company grouped by location which has no timely response. Attribute Information or Dataset Details: Data: Input Format - .CSV Public DATASET available at below website https://catalog.data.gov/dataset/consumer-complaint-database…
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Customer Complaints Analysis Part 2

Customer Complaints Analysis Part 2

Bigdata Hadoop, , , ,
Execution of the Shell script Output Chart view in Excel 1. Get the number of complaints filed for each company. (Complains_by_Company.csv) 2. Get the number of complaints filed under each product. (Complains_by_Product.csv) 3. Get the total number of complaints filed from a particular location (Complains_by_Location.csv) 4. Get the list of company grouped by location which has no timely response (Complains_by_Response_No.csv) (Note: To generate the below Chart we need to Use PIVOT Chart option in Order to group data)
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YouTube Data Analysis Part-1

YouTube Data Analysis Part-1

Bigdata Hadoop, , , ,
In this article, We will see how to Analyze YouTube Data using Big Data Technology, We will see step by step process execution of the project. YouTube is an American online video-sharing platform headquartered in San Bruno, California. Three former PayPal employees—Chad Hurley, Steve Chen, and Jawed Karim created the service in February 2005. Problem Statement: Problem Statement is to 1) Find out the top 5 categories in which the most number of videos are uploaded. 2) Find top 10 rated videos, 3) Find top 10 most viewed videos 4) Find top 10 rated videos in each category 5) Find…
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Analyze social bookmarking sites to find insights Part 1

Analyze social bookmarking sites to find insights Part 1

Bigdata Hadoop, , , , , , , , ,
In this article, we will Analyze social bookmarking sites to find insights using Big Data Technology, Data comprises of the information gathered from sites that are bookmarking sites and allow you to bookmark, review, rate, on a specific topic. A bookmarking site allows you to bookmark, review, rate, search various links on any topic. The data is in XML format and contains various categories defining it and the ratings linked with it. Problem Statement: Analyse the data in Hadoop Eco-system to: Fetch the data into Hadoop Distributed File System and analyze it with the help of MapReduce, Pig, and Hive…
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Generate Analytics from a Product based Company Web Log Part 1

Generate Analytics from a Product based Company Web Log Part 1

Bigdata Hadoop, , , ,
In this article, We have explore generating Analytics from a Product based Company using Web Log. Even by using small data, We could still gain a lot of valuable insights. Problem Statement: Generate Analytics based on the data in Hadoop Eco-system: Load weblog data into HDFS using HDFS client     Develop Pig program to load log and perform analytics on  IP Category-1 Category-2 page, status_code 2.1.   Count of page views by individual user ie [IP, count(*)] 2.2.  Top / Bottom 2: catagery-1/ catagery-2 / page /users (Exclude status code other than  200) Top 2 and bottom 2 records Category, total_number_viewspage,…
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Sensex Log Data Processing (PDF File Processing in Map Reduce) Part 1

Sensex Log Data Processing (PDF File Processing in Map Reduce) Part 1

Bigdata Hadoop, , , , , , , , ,
In this article, We will see how to process Sensex Log (Share Market) which is in PDF format using Big Data Technology, We will see step by step process execution of the project. Problem Statement: Analyse the data in Hadoop Eco-system to: Take the complete PDF Input data on HDFSDevelop a Map-Reduce Use Case to get the below-filtered results from the HDFS Input data(Excel data)   If TYPE OF TRADING is -->'SIP'        - OPEN_BALANCE > 25000 & FLTUATION_RATE > 10  --> store "HighDemandMarket"        -CLOSING_BALANCE<22000 & FLTUATION_RATE IN BETWEEN 20 - 30  --> store "OnGoingMarketStretegy"   If TYPE OF…
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Sensex Log Data Processing (PDF File Processing in Map Reduce) Part 2

Sensex Log Data Processing (PDF File Processing in Map Reduce) Part 2

Bigdata Hadoop, , , , , , , , ,
Apache Pig Script​ SENSEX.pig A = LOAD '/hdfs/bhavesh/SENSEX/OUTPUT/HighDemandMarket-r-00000' using PigStorage('\t') as (Sid:int,Sname:chararray,Ttrading:chararray,Sloc:chararray,OBal:int,CBal:int,Frate:int); disHM = DISTINCT A; orHM = ORDER disHM by Sid; STORE orHM into '/hdfs/bhavesh/SENSEX/HM' using PigStorage(','); A = LOAD '/hdfs/bhavesh/SENSEX/OUTPUT/ReliableProducts-r-00000' using PigStorage('\t') as (Sid:int,Sname:chararray,Ttrading:chararray,Sloc:chararray,OBal:int,CBal:int,Frate:int); disRP = DISTINCT A; orRP = ORDER disRP by Sid; STORE orRP into '/hdfs/bhavesh/SENSEX/RP' using PigStorage(','); A = LOAD '/hdfs/bhavesh/SENSEX/OUTPUT/OtherProducts-r-00000' using PigStorage('\t') as (Sid:int,Sname:chararray,Ttrading:chararray,Sloc:chararray,OBal:int,CBal:int,Frate:int); disOP = DISTINCT A; orOP = ORDER disOP by Sid; STORE orOP into '/hdfs/bhavesh/SENSEX/OP' using PigStorage(','); A = LOAD '/hdfs/bhavesh/SENSEX/OUTPUT/WealthyProducts-r-00000' using PigStorage('\t') as (Sid:int,Sname:chararray,Ttrading:chararray,Sloc:chararray,OBal:int,CBal:int,Frate:int); disWP= DISTINCT A; orWP = ORDER disWP by Sid; STORE orWP into '/hdfs/bhavesh/SENSEX/WP' using PigStorage(','); A…
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