All posts by Atul Kumar

Modeling with AWS Machine Learning

AWS SageMaker: Modeling With AWS Machine Learning

AWS SageMaker has been the industry leader, offering many services that complement the entire lifecycle from data preparation to model deployment. Once you identified machine learning is the right fit for your business problem. Your next step will be to identify the right machine learning type which helps you in finding the right Model for […]

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Google Cloud Storage And Database

Google Cloud Storage And Database Services Rundown

Google Cloud Platform (GCP) delivers various storage and database service offerings that remove much of the burden of building and managing storage and infrastructure. Google Cloud offers 9 storage & database services. Want to know more about Google Cloud Storage & Database Services? Read the blog post at to learn more. The blog post […]

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Exploratory Data Analysis with AWS ML

Exploratory Data Analysis with AWS Machine Learning

According to “The State of Data Science 2020” study, exploratory data analysis (EDA), data management, feature selection, and feature engineering accounts for more than 66% of a data scientist’s time. The data analysis process involves many steps on the data, such as cleansing and transformation, to find out what hidden information the data has and […]

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Amazon Cognito

Amazon Cognito Overview & Its Features

The challenges in building applications have been around user authentication and management. Not many developers want to build yet another user identification and authentication system for their application nor would they want to cause a user to create yet another account unless needed. Amazon Cognito makes it simpler for developers to manage user identities, authentication, […]

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aws ml

Data Engineering with AWS Machine Learning

Storing data for machine learning is challenging due to the varying formats and characteristics of data. Raw ingested data must first be transformed into the format necessary for downstream machine learning consumption, and once the data is ready to be used, it must be ingested from storage to the machine learning service. In this blog […]

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Introduction To Cloud & AWS FAQs

[Q/A] AWS Certified Solution Architect Associate Day 1: Introduction To Cloud & AWS

In this blog, we will cover the Q/A’s from Day 1 of AWS Certified Solution Architect Associate covering Introduction To Cloud & AWS FAQs. This blog will help you to get started with AWS Solution Architect. The blog post at covers: 1. Cloud Services and Deployment Model 2. AWS Global Infrastructure Region AZ 3. […]

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terraform interview questions

Top 20 Terraform Interview Questions & Answers

With the current success of Terraform, the cloud market has a lot of requirements for DevOps engineers with good terraform knowledge. To land yourself a job in this field, you must be prepared to face an interview. In this blog, we have covered some most commonly asked interview questions for the Terraform Associate Role. […]

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Amazon CloudWatch and CloudTrail

AWS: Difference Between Amazon CloudWatch and CloudTrail

Amazon CloudWatch and CloudTrail can be very easy to confuse with these two services. CloudWatch mainly monitors performance, whereas CloudTrail mainly monitors actions in your AWS environment. In this blog at, we will cover everything you need to know about Amazon CloudWatch and CloudTrail and the difference between them. In this blog, we are […]

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Google Cloud Free Trial Account

Google Cloud Free Account: Steps to register for free trial account

Google Cloud Platform (GCP) is providing 90 days of Free Trial account with $300 credits to new subscribers to get hands-on experience with all the Google cloud services. In this Free Trial account, Google offers a number of different services which comes with some of the limitations to get hands-on practice and more knowledge on […]

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aws for testers and qa

Amazon Web Services for Testers and Quality Assurance (QA)

There was a dramatic shift in the software development industry over the past 3 years towards cloud technology. In the past agencies might favour dealing with their own infrastructure. This means that more usually than not the software developed and the infrastructure it was deployed on would be in the same place. Or deployed on […]

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