Apache Big Data Projects

Apache Big Data Projects

     Apache Big Data Projects is the best transportation to reach desired position in your intellectual journey. We are started our Apache Big Data Projects service with the much aspiration of support students (BE, BTech, ME, MTech, MCA and MPhil) and research fellows (MS/PhD) in all over the world. Today, we are connected with the universal top universities and colleges for generate knowledge uprising amidst of students and research academicians. Our world classic knowledgeable brilliants are planned to conducting workshops, free tutorial classes, seminars, project class and more services for you. If you anxious to know more information about our services, you can visit our websites or approach us at 24/7 days.

Apache Big Data Projects

    Apache Big Data Projects give the most excellent solution for students and researchers to touch the great position of your desired achievements successfully. Big data is exploring the service of economics and business insights which makes large impacts in social networks, manufacturing, finance and retails. Due to this, we train scholars in the important aspects of big data including big data modeling, big data analytics, big data open platform, big data for enterprise transformation, economic analysis, big data in enterprise management models etc.

Categories of Apache Big Data Projects:

  • Apache Hadoop Projects
  • Apache HDF (Hortonworks DataFlow) Projects
  • Apache Modern Data Application Projects

Apache Hadoop Projects:

  • Hadoop ecosystem designed with various tools that used in Big Data Analytics applications
  • It can be used to store massive amounts of structured and un-structured data.
  • A top most Apache Hadoop Projects are Apache Spark, Apache Storm, Apache REEF, Apache Bigtop, Apache Tez, and others include: Phoenix, Scoop, Drill, Airavata, and Scoop.
  • Apache HDF (Hortonworks DataFlow) Projects

Apache HDF (Hortonworks DataFlow) Projects:

  • These type of projects able to collect real-time data, analysis, curation, and data delivery from any device, sources, computers or in the cloud
  • A top most Apache HDF projects are Apache Kafka, Apache NIFI, and Apache Storm

Apache Modern Data Application (MDA) Projects:

  • MDA projects enables to access all data that can run on open and connected platforms like Apache Metron

Apache Big Data Language Distribution:

  • C
  • C++
  • C#
  • Java
  • JavaScript
  • Scala
  • Perl
  • Python
  • Ruby

Library Categories using in Apache Big Data Projects:

  • Xml
  • Retired
  • Library
  • Big Data
  • Database
  • Network server
  • Network client
  • Web-framework
  • Build management

Current Releases in Apache Software Foundation:

  • Activemq-5.13.5
  • Apache-ace-2.1.0
  • Apache-ace-2.1.0-maven
  • NMS-1.5.1
  • NMS-1.7.1
  • NMS.ActiveMQ-1.7.2
  • NMS.Stomp-1.5.4
  • accumulo-1.6.6, 1.7.3, 1.8.1, 2.1.0

Topmost Apache big data projects:

  • Twitter Streaming Dataset for Performance Evaluation Mahout Clustering Algorithms
  • Big Data Using Information Theory Based Feature Selection Paradigm Under Apache Spark
  • Continuous Knowledge of HPC Infrastructure Models Using In-Memory Processing and Big Data Analytics Tools
  • Apache Spark for In-Memory Parallel Processing of Massive Remotely Sensed Data on Hadoop YARN Model
  • First Global Evolutionary Under Sampling Attempt for Imbalanced Big Data
  • Parallel Random Forest Algorithm in Spark Cloud Computing Paradigm for Big Data
  • Twitter Data Evaluation and Visualization on Top of the Hadoop Paradigm Using R Language
  • Effective Prediction of Missing Data Through Multivariable Time Series on Apache Spark
  • Adaptive I/O Leverage for Big Data Analytics to Optimize Collective Data Shuffling Patterns
  • Best of Breed Solution Using Big Data Platform Spark Clustering Satellite Images
  • A Game Theoretic Mechanism in MapReduce for Allocate Run Time Capacity
  • Long Short-Term Memory (LSTM) Networks on Large Scale Data Processing Paradigm to Predict Engine Condition
  • Resilient Distributed Computing Environments Using Spark and Hadoop for Analyze Big Data
  • Cloud Assisted Application for Investigate Epigenetic Markers Through Apache on DNA Genome Sequences
  • Temporal Dynamic Matrix Factorization in Large Scale Coevolving Times Series