ashwin

Ashwin Rangarajan is a certified Spark, Hadoop and AWS Developer. He leverages his technical, analytical and problem-solving skills to create Big Data solutions in Cloud. He received his Master’s degree in Computer Science from Johns Hopkins University. He likes to blog technical articles related to Cloud Computing and Big Data technologies.

What is Cloud Computing?

We hear the term “Cloud Computing” a lot in the media, advertisements, news and in memes. Cloud Computing has continuously been a trending term throughout the last decade. But what does cloud computing mean? Cloud computing is the offering of computing as a service. Consumers can pay the cloud computing service for on-demand use of […]

Amazon EMR and Google Cloud Dataproc: Top 10 Common Features

Amazon Web Services and Google Cloud Platform are the two of the three market leaders in cloud computing. They both offer similar kind of cloud-native big data platforms to filter, transform, aggregate and process data at scale. Amazon EMR and Google Cloud Dataproc are Amazon Web Service’s and Google Cloud Platform’s managed big data platforms […]

My Path To AWS Certified Big Data Specialty

Amazon Web Services certifications are few of the most reputed in the field of Software Engineering. I successfully completed the AWS Big Data Speciality certification on Nov 25, 2019. This certification tests the candidate on two of the most wanted skills right now – Cloud and Big Data technologies. Prior to taking this certification, I […]

Deep Learning Specialization – Neural Networks and Deep Learning

Deep Learning is one of the most sought after skills in tech right now. On November 14, 2019, I completed the Neural Networks and Deep Learning course offered by deeplearning.ai on coursera.org. Besides Cloud Computing and Big Data technologies, I have huge interests in Machine Learning and Deep Learning. I did my Masters in Computer […]

Amazon QuickSight – Visual Types Demystified

Amazon QuickSight is a managed business analytics service that’s part of the Amazon Web Services suite. Amazon QuickSight offers capabilities to create dashboards with visualizations and perform ad hoc analysis to obtain insights from the data. Amazon QuickSight works with several AWS data sources such as RDS, Aurora and Redshift, and also other data sources […]

Execute Linux Commands from Spark Shell and PySpark Shell

Linux commands can be executed from Spark Shell and PySpark Shell. This comes in handy during development to run some Linux commands like listing the contents of a HDFS directory or a local directory. These methods are provided by the native libraries of Scala and Python languages. Hence, we can even use these methods within […]

Course Review – Machine Learning A-Z: Hands-On Python & R In Data Science

I completed Machine Learning A-Z: Hands-On Python & R In Data Science course from Udemy on Aug 1, 2019. I would say “Machine Learning A-Z for Programmers” is a more apt title for the course. It’s a beginner friendly course aimed towards programmers that covers a wide range of topics with hands-on programming with Python […]

Amazon EC2 Instances: M5 vs M5d vs M5a vs M5ad

Amazon Elastic Compute Cloud (EC2) is a service that offers compute capacity in Amazon Web Services (AWS) cloud. Amazon EC2 M5 Instances are the fifth generation EC2 instances that are ideal for General Purpose computing as they offer a balance of compute, memory and networking resources. M5 can be used as servers, caching fleets, app […]

Amazon EC2 Spot Instances: Most and Least Interrupted Instance Types

Amazon EC2 Spot Instances are one type of purchasing the EC2 instances, the other two types being on-demand and reserved instances. Spot instances are the cheapest among the three types and they are cost effective for running fault-tolerant workloads. Before starting to use the Spot instances, it’s important to understand that Spot instances will be […]

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