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Data Science


Data Science Base Architecture


The basic workflow to solve any data science problem is as follows :
  1. Identifying the problem
  2. Acquire test and training data
  3. Clean the data
  4. Analyze the data
  5. Model, predict and solve the problem
  6. Visualize the data and come up with a solution





AWS Services

AWS Services

Technology Selection & Evaluation Criteria

Technology Selection & Evaluation Criteria

Scale Cube - Scale In X Y Z Cube

Scale Cube - Scale In X Y Z Cube

Feature Post

AWS Services

About Me

About Me

Spring Cloud

Spring Cloud
Spring Cloud

Spring Cloud +mCloud Native + Big Data Archittect

Spring Cloud +mCloud Native + Big Data Archittect

ACID Transaction

ACID Transaction

Data Pipe Line Stack

Data Pipe Line Stack

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