Center of Excellence - Big Data - GAVS Technologies


The Big Data Center of Excellence (CoE) is a team of experts who experiment and build cutting-edge solutions with the help of the latest technologies and open-source technologies to deliver business results.

Deciding on the right strategy for the organization is one of the main objectives of CoE. This would allow the organization to be data-driven which would in return benefit from Big Data, Machine Learning, Analytics, and Internet of Things (IoT).

-        Big Data plays a major role in bringing down the cost of the organization

-        It also helps to reduce the response time to ensure that the project is delivered on time

-        It helps an organization to build skillful resources

Role of Big Data:

-        It helps an organization to build big data applications that are better in quality. This can be done by maximizing their ability to leverage data.

-        The data engineers ensure that the data:

·        Defines the data audience and strategic data assets

·        Have the right infrastructure, right technologies and right key competencies

·        It ensures that there is effective governance and security are in place to avoid huge legal, financial and reputational problems

·        It gathers the required data and puts in place the latest methods of collection

·        It helps in getting the most out of machine learning and predictive analytics

Stages of Data Analytics:

  • -        Data Source Edge
  • -        Pre-processing: Decompression, Filtering, Normalization
  • -        Transformation: Aggregation, Dimension, Reduction
  • -        Analysis: Summary, Clustering, Statistics
  • -        Modeling: Classification, Regression, Association Rules, Simulation
  • -        Validation: Hypothesis, Testing, Metrics
  • -        Decision-Making: Prediction

Focus Areas:

The following computation modes are supported by Algorithm:

  • -        Stream Processing
  • -        Batch Processing
  • -        Distributed Processing
  • -        Online Processing

Big Data Analytics lifestyle can be divided into nine stages. They are:

  • -        Business Case Evaluation
  • -        Data Identification
  • -        Data Acquisition & Filtering
  • -        Data Extraction
  • -        Data Validation & Cleaning
  • -        Data Aggregation & Representation
  • -        Data Analysis
  • -        Data Visualization
  • -        Utilization of Analysis Results

To establish a data-driven organization is the prime focus of Big-Data CoE. This can be done by developing the proof of the concept using the latest technologies with Machine Learning Models and Big Data.

The above article has been taken from GAVS Technologies that provide the best cybersecurity and compliance services in the USA.

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