Hadoop Projects, an innovative platform to build your talent and bring out your efficiency to upgrade your performance. It is one of the most recent areas for research, which makes it an attractive platform in the midst of scholars and students. Apache hadoop has got its wide spread usage due to its open source platform.

It acts as a central store for big data, which makes it more popular among top IT solutions and businesses. Scholars have enormous scope for research in this field, due to its rising needs and issues. You can approach us anytime for getting innovative ideas on Hadoop to enlighten your research work with our effort and support.


     Hadoop Projects offers you wide collection of pioneer ideas mined with the help of top experts. It is always better to choose the most recent technology and tool for your project to bring a standard into your project. Hadoop is a software framework used to store massive amount of data, provides enormous processing power and handles virtually unlimited concurrent tasks.

You can take Hadoop for your research work as it is one of the rising fields with many hidden issues needed to be unearthed. We have provided below, few most important aspect of Hadoop for scholars to get complete Knowledge about hadoop.

Key features of Hadoop

  • It is scalable, cost effective and flexible
  • Main reason to use hadoop includes data agility, mining larger datasets, large scale pre processing of raw data and data exploration with full datasets.
  • It has HDFS to store large amount of information ,which is robust and resilient to failure
  • Also It works in parallel fashion and maintains reliability by automatically maintaining multiple copies of data
  • Easily deployed on large clusters of cheap commodity hardware.
  • Main modules of hadoop includes MapReduce, Hadoop sorting, grouping and partitioning and Hadoop yarn

Programming Languages Used

  • Java[.java]
  • C++[.cc]
  • Python[.py]
  • PHP[.php,.phtml,.php3,.php4,.php5,.php7,.phps]
  • Ruby[.rb, .rbw]
  • ERLANG[.erl,.hrl]
  • PERL[.pl,.pm,.t,.pod]
  • Haskell[.hs, .lhs]
  • C#[C sharp- .cs]-Microsoft .Net SDK for hadoop
Software requirements for Hadoop:
  • Latest version[Hadoop 2.7.2]
  • Required software details:
    • -Java(JDK) must be installed[get latest version from hadoop Java versions]
    • -SSH installed and SSHD must be running[Manages hadoop scripts and remote hadoop daemons]
Platform and Tools support
  • Run on Unix, Windows and MAC OS X
  • Works with Linux[ production platform] and Windows[requires Cygwin to run]
Tools Support
  • Apache Hadoop[Official version]
  • HDFS[Hadoop distributed file system]- Used to split data across clusters
  • Apache-Ambari[Manages Hadoop clusters]
  • Apache hive[Data warehouse which allows data accessible through SQL like language]
  • Apache HBase[Table oriented database on the top of hadoop]
  • Apache-Pig[Platform for running code in parallel fashion]
  • Apache Sqoop[act as a Tool for transferring data between hadoop and other storage systems]
  • NoSQL[Cassandra , Riak, MongoDB]
  • ZooKeeper[tool for synchronizing and configuring hadoop clusters]
  • Apache Avro[Data serialization system]
  • Apache-Mahout[Machine learning library for hadoop ]
  • Oozie[Workflow manager for Apache toolchain]
  • GIS Tools[Manages the geographical components]
  • Apache Flume[Collects log data using HDFS]
  • Apache-Lucene/ Apache Solr[Tool also for indexing text data]
  • Apache Spark[also makes the algorithm to run faster]
  • SQL on hadoop[It includes Cloudera Impala, Apache Hive, Shark, Apache Drill, shark, Presto(Facebook), Apache phoenix, also Apache Tajo, EMC/Pivotal HAWQ, BigSQL]

Interfacing Tools and Plugins support

Apache Hadoop Development Tools[Version- HDT 0.0.2]

Plugin for Eclipse IDE to develop Hadoop based projects. It also supports:

  • Launch Map Reduce program also on hadoop cluster
  • Creates Java classes also for Mapper and driver
  • Lists the running jobs available on MR Cluster
  • Inspect HDFS and also Zookeeper nodes

Hadoop Interface with Tools like

  • Provides web based interface to provision, manage and also monitor hadoop clusters
  • Operating System Used: Windows, OS X, Linux
  • Provides data serialization system also with rich data structures
  • Platform support: OS Independent
  • Application development platform
  • It is platform independent
  • For the purpose of monitoring, it also Collects data from large distributed systems
  • Platform support: OS X, Linux
  • Collects log data from other source and also send them into hadoop
  • Platform Support: Linux , OS X
Hadoop Distributed File System:
  • File system for Hadoop
  • Platform support: Linux, Windows and also OS X
  • Distributed database for accessing bigdata also for real time read/write operation
  • Similar to Google’s Bigtable and also platform independent
 Hivemall[Platform independent]:
  • Collection of machine learning algorithm [also for classification, regression, k-nearest neighbor, feature hasing, anomaly detection etc]
  • Work as data warehouse for hadoop
  • It uses HiveQL and also it is platform independent
  • Used to create scalable machine learning applications
  • Provides algorithm for data mining purpose , and also for Scala and spark environment.
  • Platform independent
  • Used to manage Hadoop jobs and also can be integrated with MapReduce, Hive, Pig, Sqoop etc
  • Operating system: OS X, Linux
  • Programming model also used to process large distributed datasets
  • Platform independent
  • Platform for distributed big data analysis
  • It is platform independent and also works with a programming language called Pig Latin.
  • Data processing engine
  • Platform support: Windows, Linux, also OS X
  • Transfers the data between relational database and also hadoop
  • Platform Independent
  • Used to simplify complicated jobs
  • Platform support: Windows, OS X, also Linux
  • Used to provide distributed synchronization and group services, which acts as a centralized service also for maintaining naming and configuration information
  • Platform support: MAC OS X, Windows, also Linux

GUI and Database support

GUI Support:
  • Uses HUE[Open source web interface to analyze data]
Database support:
  • NoSQL Database[Not only SQL]:
    • Works on the demand of big data
  • MongoDB[NoSQl database]
    • Free and also open source document oriented database
  • Cassandra
    • Open source distributed database management system also used to handle large amount of data
  • HBase
    • Open source, distributed and also non-relational database
    • Provides real time read and also write to big data
  • Hive
    • Used to read, write and also manage large datasets from distributed storage using SQL

          We also have provided an overview about Hadoop, which will be helpful to choose your hadoop-projects. You can also have an online session with our experts, who can guide you in a better way to bring out the best in you. It will also give you a start up ignition, which will make you reach the pinnacle of success.