Research Topics in Big Data Analytics

Research Topics in Big Data Analytics offers you an innovative platform to update your knowledge in research. Our current trends updated technical team has full of certified engineers and experienced professionals to provide precise guidance for research scholars and students. We serve students and research scholars through our 120+ branches worldwide. Many numbers of research scholars and students can come from various countries to do their research with us. Our institute has been certified by ISO 9001.2000 for the best quality of project and research guidance.

We motivate and equip the student’s research in their appropriate area through our Research Topics in Big Data service. Initially, we discuss with the 1000+ research big data thesis topics with you, if you committed with us we provide full support at the end of your research completion. Over the 10+ decades, we are working in this field and capable of handling any complex problem with our experienced professionals’ help.

Topics in Big Data Analytics

Research Topics in Big Data Analytics brings you an innovative idea to shine your research career successfully. We support research scholars and students in the following types of big data like structured data (CRM, ERP, Enterprise), unstructured data (Social media, videos, documents, and machine sensor), and semi-structured data (EDN, Transactions, XML/SON). And We use two major technologies for big data processing like big operational data (MongoDB, NoSQL) and big analytical data (MapReduce, Massively parallel processing).

We ensure that the quality of work and precise research guidance within a stipulated time. We also provide support for all kinds of students from BE, BTech, ME, MTech, MPhil, MCA to PhD, MS. Now let’s have a glance at big data analysis for your reference,

Major Research in Big-Data-Analytics

Hive
Tableau
AWS Phyton
GraphX
R,
Hadoop,
Micro soft azure
Cloudera
MapR converged data platform
WSO2 big data analyst platform

The following areas we have talk about major big data processing open source tool Hadoop for your convenience,

Big Data Open Source Tool – Hadoop

Hadoop and its features:

—“Hadoop is an open source software framework which is used to processing in parallel fashion using Map reduce algorithm (Store and process large amount of data efficiently)”

Processing power and massive storage
Open source software that is free
Hadoop framework allowed running and also developing software applications

Key Supports and Features

I/O handling and efficient memory
Support Jar files and self-contained library
Reduce model and scalable map supports
Map reduce API and data co-location supports
Communication using REST based interface which also minimizes the number of ports opened in the network
Major benefits like fault tolerant, cost effective, scalable and also high computing power
NoSQL databases, MongoDB, Cassandra, Hive and also HBase for database access
Data quality, standardization and data security also for major issues using Hadoop lacking tools
Apache storm, Apache shark, Cascading, Apache Hive and also Apache Pig supports
C++, PHP,C#, Erlang, Perl, Ruby, Java, Python and also Haskell languages are used to programming
Windows, Unix, Mac OS X are also supporting platform with GUI using HUE

Core Modules of Hadoop

Provides libraries and utilities [Hadoop Common]
Java based system to store data across multiple machines [Hadoop Distributed File System]
Parallel processing large data [MapReduce]
Used to schedule and also handle resource requests [YARN- Yet Another Resource Negotiator]

Major Algorithms Used

Mean shift clustering
Parallel frequent pattern mining
K-Means clustering also algorithm
Fuzzy K-Means Clustering
Latent dirichlet allocation
Parallel frequent pattern mining
Page rank algorithm
Linear regression
Random forest
Apriori algorithm
Artificial neural networks
Complementary Naïve Bayes Classifier
Random forest decision tree also based classifier

Major Applications and Research-Areas in Hadoop

Supported Applications:

Hadoop for big data analytics
Web recommendation system
Low cost hardware’s for store social media, sensor, machine, scientific and also transactional data
Enterprise data warehouse also for advanced analytics, query and reporting
To process ETL and data quality tasks also in parallel using commercial data management technology [Act as data lake]
Big data in healthcare industry
Cancer treatments and also genomics using Hadoop technology
Monitoring patient vitals Hadoop technological
Health care intelligent
Fraud prevention and also detection

Supported Research Areas:

Hadoop security design issues
Long running services also using HOD provisioning
Campus work queuing systems also using HOD ports
HDFS Namespace expansion
MR framework for shuffle and also sort optimization
Integration of Hadoop tools also with virtualization
Performance also enhancement of Map reduce framework
Hadoop compatible framework also for identification network topology and diagnosing hardware
Block placement in HDFS and also modeling of replication policies

The above information provided by us to make you very comfortable with our Big Data Analytics. We also provide additional support for Thesis writing, Journal paper writing, Project development, and Journal publication, etc. If you’ve got a specific question about our services, why not check out our website and get in touch with us. Our online service is available 24×7.