Big Data Project Topics
Big Data Project Topics provide enlightened scientific medium to get nonstop services for your outstanding achievements. We give advancement in uptrend technologies, deserving skill sets in big data research, and immense of self-awareness for research professorates and students from different departments ECE, EEE, Computer Science, Computer Application and Information Technology. Our comprehensive support is raising scholar’s knowledge development in the field of Big Data. Our universal star of big data professional’s knowledge is exposure through our real time big data projects. Our scholars are trained by our experienced expert’s guidance which is an important part of learning experience. Clear vision, focused goals, and firm determination are the key factors while starting new job. We give our best efforts for the new students. Students you can approach us for your any doubts.
Big Data Project Topics
Big Data Project Topics offer excellent support for students to get great achievements which one is considered impossible. We offer our best Big Data Project Topics for student and research scholars to complete your graduation with the high grade. We are also grant excellent knowledge for scholars about big data technologies such as In-Memory Data Fabric, Data Virtualization, Search & Knowledge Discovery, Stream Analytics, NoSQL Datasbases, Predictive Analytics, Data Preparation, Distributed File Storage, Data Quality and Data Integration.
Let’s view some major Big Data tools,
- Cloudera
- Cassandra
- Hadoop
- SAP Hana
- Spark Streaming
- Splunk
- Skytree server
- TrendMiner
- Power BI 9
- Jaspersoft BI Suite
- Talend Open Studio
- Tableau Desktop and Server
- Karmasphere Analyst and Studio
- Pentaho Business Analytics
Best Big Data Analytics Tools:
- HANA
- Splice
- Mark Logic
- MongoDB
- Talend
- Splunk
- Tableau
- Pentaho
Open Source Big Data Analytics Tools:
- Hadoop
- HBase
- Neo4j
- MapReduce
- HPCC Systems
- CouchDB
- GridGain
- Terrastore
- Storm
- OrientDB
- Cassandra
- Hive
- FlockDB
- Pentaho
- Hibari
Big Data Application Fields:
- Enhanced Cyber Security
- Securities Exchange Commission
- Banking Securities
- Natural Resources and Manufacturing
- Government applications
- Transportation applications
- Energy and Utility applications
- Flexible Data Model for ETL
- Unified data applications
- Multiple Simultaneous Applications
You can pick the right big data tools for your applications. We have global resource pool consists of world’s leading experts, software developers and technical writers who have the experience in Big Data tools along with this they trained on other Big Data tools such as Spark, Hive, Pig, Hadoop, and visualization tools (Gephi and Tableau). Never miss an opportunity, to joining us for your Big Data Projects.
Most Tremendous Big Data Project Topics:
- Recurrent Temporal Deep Brief Network Based Adaptive Learning Mechanism for Analyze Time Series Data
- Open Source Framework in Healthcare Application for Big Data Interactive Exploration
- Multivariate Polynomials Using Privately Preserving Publicly Verifiable Computation
- Minimum Controller Based Optimal Train Control Using a Computational Approach
- Platform and Data Aware Large Scale Learning Using Extensible Dictionaries
- Surface Enriched Raman Spectroscopy Based Methyl Parathion and Ethyl Paraoxon Intelligent Identification
- Multiple Robot Arms Distributed Motion Planning Using Nonlinearly Activated noise Tolerant zeroing Neural Network
- Computational SEPO Approach for GPU Accelerated Big Data Analytics to Enable Larger than Memory Hash Tables
- Unsupervised Feature Learning to monitor Dynamic Events towards Smart Grid Big Data
- Communication Aware MCMC Approach on FPGAs for Big Data Applications
- FP Development for Frequent Item set Mining Implementation in Parallel Architecture
- Cross Diffused Matrix Alignment for Multi View Unsupervised Feature Selection
- Natural Network Model Using Data Expansion and Compression for Liver Cancer Patients Classification
- An Advanced Hybrid Machine Learning Approach for Smart Agriculture to Automatic Plant Phenotyping
- Communication Aware Task Placement on DaaS Based Cloud for WorkFlow Scheduling
