Big Data Hadoop Projects

Big Data Hadoop Projects

     Big Data Hadoop Projects give evergreen research theatre for you to start your daydream of scientific Nobel trip in your academic experiments. We initiated our Big Data Hadoop Projects service for amidst of research intellectuals (MS/PhD) and students (BE, ME, BTech, MTech, MCA, and MPhil) in optimum cost. Due to the continuous grow of data, big data Hadoop has drastically used on nowadays.  Through this article, you can understand what is big data? And how you can use it your application. Scholars who are eager to gain our research ideas? You can take your mobile and dial our contact instantly.

Big Data Hadoop Projects

   Big Data Hadoop Projects is the first step to start your academic journey to do grant things to gain nonstop achievements. Our “world no 1” big data Hadoop experts renovate their mind to afford in-depth knowledge in big data processing using Hadoop and spark. On these days, we are implemented thousands of big data Hadoop projects using various Hadoop ecosystem components including YARN, HBase, MapReduce, Flume, Apache Spark, Hive, Pig and Impala.

    Once you thorough with Big data Hadoop, begin to work with Hadoop. Here are some applications of Hadoop is listed. You take any of applications to work with your big data hadoop projects.

Big data Hadoop Applications:

  • Key value data model
  • Distributed file system
  • NoSQL databases
  • Document data model
  • Stream data model
  • Graph data model
  • SQL-on Hadoop
  • NewSQL Databases
  • Data ingestion
  • DR and scheduling
  • Machine learning
  • Service programming
  • System deployment
  • Metadata management
  • Benchmarking and QA tools

Big data Hadoop Application Development Tools:

-Key value data model

-Distributed file system

  • Red Hat ClusterFS
  • Apache HDFS
  • Quantcast FileSystem QFS

-NoSQL databases

  • Apache Kudu
  • Hypertable
  • Apache Cassandra
  • Apache HBase

-Distributed programming

  • JAQL
  • Apache Pig
  • Apache Spark
  • Apache MapReduce
  • Apache Storm
  • Apache Flink
  • Apache Apex
  • Apache Hama
  • Pydoop
  • Facebook corona
  • Apache Beam

-Document data model

  • ArangoDB
  • MongoDB

-Stream data model

-Graph data model

  • Neo4j
  • ArangoDB

-SQL-on Hadoop

  • Apache HCatalog
  • Apache Hive
  • Cloudera Impala
  • Apache Tajo
  • Facebook Presto

-NewSQL Databases

  • SenseiDB
  • BayesDB
  • TokuDB

-Data ingestion

  • Apache Sqoop
  • Apache Flume

-DR and scheduling

-Machine learning

-Service programming

-System deployment

  • Apache Ambari
  • Apache Mesos
  • Hortonworks HOYA

-Metadata management

Other Application Tools in Big Data Hadoop:

  • HIPI [Executing Image Processing Tasks]
  • OODT [Sharing and Processing Data]
  • PivotalR [Big Data Analytics]
  • Sphinx [Batch index and Search Data]

Our Hot Big Data Hadoop Projects Titles:

  • Compare Performance of Edge Detection Algorithms Using Big Data Framework Spark for Satellite Images
  • Evaluate Distributed System Performance Through YARN (Yet Another Resource Negotiator) Cluster Manager
  • Investigate Parametric Performance Optimization/Improvement Algorithms Based on Heuristic for Big Data Computing
  • Selection of Quality of Service (QoS) Aware Traffic Efficient Web Service Through Big Data Galaxy
  • High Performance Big Data Analytics With Optimized and Dynamic Hadoop Cluster
  • Big Data Storage System Using Data Duplication Approach Based on Bucket
  • MapReduce Framework Using Rating Based Mechanism on Movies Reviews to Contrast Abnormal Posts
  • Integrated Massive Batches and Streams Through Dataflow Algebra Based on JavaScript Object Notation (JSON)
  • Data Integration Using Partial Materialization in SQL on Hadoop Machines
  • Structured Data Shuffling to explore Big Data Analytical Stacks Optimization
  • In-Memory Big Data Analytics Using Automatic Memory Tuning in Clusters
  • Empirical Mobile Network Traffic Data Investigation for Resource Management
  • Analyze Sentiment Using Multi-Dimensional Distributed Opinion Extraction Using an Innovative Approach
  • Performance Evaluation on Amazon EMR and H2Hadoop in Text Datasets by MR Jobs
  • Enhance Performance on Hadoop Framework for Processing Big Data Using Metadata Related Jobs in Parallel