Executive Summary This Knowing Internet of Things Data: A Technology Review is a critical review of Internet of Things in the context of Big Data as a technology solution for business needs. It evaluates the potential exploitation of big data and its management in correlation to devices which are Internet of Things. The article begins with(…)
Big Data Hadoop Projects
Download all Latest Big Data Hadoop Projects on Hadoop 1.1.2, Hive,Sqoop,Tableau technologies.
Agenda: Abstract Existing system Drawbacks of existing system Proposed system System requirements Abstract: In this project, Spark Streaming is developed as part of Apache Spark. Spark Streaming is used to analyze streaming data and batch data. It can read data from HDFS, Flume, Kafka, Twitter, process the data using Scala, Java or python and analyze(…)
The main aim of the Apriori Algorithm Implementation Using Map Reduce On Hadoop project is to use the apriori algorithm which is a data mining algorithm along with mapreduce. This is mainly used to find the frequent item sets for a application which consists of various transactions. Using this algorithm we will take the inputs(…)
These are the below Projects on Big Data Hadoop. 1) Twitter data sentimental analysis using Flume and Hive 2) Business insights of User usage records of data cards 3) Wiki page ranking with hadoop 4) Health care Data Management using Apache Hadoop ecosystem 5) Sensex Log Data Processing using BigData tools 6) Retail data analysis(…)
Abstract With a dramatic growth of the world-wide web exceeding 800 million pages, quality of the search results are given importance more than the content of the page. The quality of the page is determined by using web page ranking where the importance of the page depends on the importance of its parent page. For(…)
Project title: Business insights of User usage records of data cards Software: Hadoop 1.1.2, Hive,Sqoop,Tableau Hardware:5 node cluster. Project short description: Aim of this project is finding the business insights of current user records data. And get the benefits for business growth. The parameters to be considered for analysis are Daily user count and bytes(…)