Big Data Projects List

      Big Data Projects List is our phenomenal scientific ground to gain the star of wings to flying above the earth. Our implementation training and support helps students (BE, BTech, ME, MTech, MCA, MPhil) and research scholars (MS/PhD) for prepare in big data analytics avocation. We are conducting immense of session by our ultimate talented and skilled experts to successfully attain the best career. We are always offering mass of career workshops, seminars and technological workshop for research academicians and students on various universities and colleges in universal top countries. By the virtue of our dedicative service, today we have millions of happy customers in all over the world. A Deep Doubt has Deep Wisdoms. If you need any help in big data project, send one mail or call promptly.

Big Data Projects List

   Big Data Projects List is our best service started to provide the excellent big data projects for students and research scholars in this universe. In order to implement high standardized big data projects for scholars, we are using hybrid algorithms, mechanisms, approaches, efficient tools and software and components including Cloudera, Hadoop Distributed File System (HDFS), Cassandra, HBase, Apache Pig, Cascading, Merced, ClickFox, Greenplum, CR-X, Netezza etc. With this we provide our other supports such as Journal paper preparation, Publication, Research proposal preparation, Conference paper preparation, Case study writing on particular research area etc. Here we have provided very few aspects of Big Data. If you want to go towards success, come together.

Research Aspects of Big Data for Current Scholars:

 Big Data Landscapes (4V’s):

• Data Volumes [Billion of Rows]
• Data Variety [Structured, Semi-structured and Unstructured]
• Data Validity [Format Process]
• Data Velocity [Real time Streaming]

 Big Data Strategy:

• Speed: One of the major strategic asset in Big Data
• Use Public Cloud for Storage
• Create Proof of Concepts for production
• Key vendors leverage: Cloudera, Paxata, Google , Amazon and Zoom data
• Spark is a power of all data initiatives

 Innovations on Big Data:

-Mobility as a Service

• Autonomous Taxi Networks
• Cloud Range Services
• Electric vehicles sales increases
• Self-driving cars

-3D printing

• Conventional manufacturing
• Aerospace and Aviation

-Robotics

-CRISPR Genome Editing

• Gene Slicing
• Diagnostics
• Bio defense
• Biofuels
• Materials
• Drug Development

-Deep Learning

• Speech Recognition
• Question Answering Accuracy
• Image Classification
• Disease Prediction Accuracy
• AI Game Performance

-Crypto as sets

-Mobile payments

Techniques towards Big Data:

• Data Visualization
• Data Retrieval
• Machine Learning
• Massive Parallelism
• Huge data volumes storage
• Data distribution
• Data Mining and Analytics
• Thread and task management
• High Performance Computing
• High Speed Networks

Our Remarkable Big Data Projects List:

• Perlustration for Big Data Storage On Techno Level Classification Based Reduplication Approaches in Cloud
• Down Link MIMO (Multiple Input, Multiple Output) Non-orthogonal Multiple Access Frameworks Using Privacy Sum Rate Optimization
• Conventional Neural Network for Three Dimensional Brain Network Classification
• Semi Supervised Learning Counterintuitive Approach Based on Graph in Big Data Regime
• Random Forest Algorithm and Rocchio Algorithm for Text Categorization
• Histopathology Whole-Slides Classification on Random Multi Views Collection at Magnification Using Decisions Fusion from Deep Convolutional Network
• Building Energy Efficient Enrichment and Cooling Load Prediction Using big Building Data Mining
• A Novel Traffic Compression Mechanism in Three Dimensional Chip Multiprocessors for E2E (End to End) Memory Accesses
• Security Based Big Data Analytics in Cloud Computing Framework for Secure Virtualized Infrastructures
• Random Based Image Retrieval Using Classification of Deep Structural Medical Image
• Mining Approximate Frequent Itemsets Using Lexicographic and Hashing Order on Data Streams
• Token Based Scheduler in Clustering Based Heterogeneous Big Data for Utilizing Efficient GPU
• Rating Maximization Through MIMO (Multiple Input, Multiple Output) Rayleigh Fading Channels Using Proactive Monitoring by Jamming
• Huge Streaming PMU Data Analytics and Modeling in Multiple High Dimensional Covariance Test Based Smart Grid State Evaluation
• Application Level Traffic Data Prediction and Learning in Cellular Networks