The Subtle Art of Not Giving a Fuck: A Counterintuitive approach to living a good life By Mark Manson Chapter 1: Don’t Try: George Orwell said what’s in front of one’s nose requires a constant struggle. You will never LIVE if you are looking for the MEANING of LIFE. Alan Watts refer “the backwards law” — the idea that the more you pursue feeling better all…

Hadoop is not replacement but a supplement to relational databases. Number One user is Yahoo, and second is Facebook .Yahoo created Hadoop in 2005. Hadoop store and process huge amounts of data. Behavioral data are great fit for HADOOP. Hadoop is an open source software framework for storage and large…

A Book For All Those Who Shall Die Part 1- Life and Death in One Breadth What is Death? It is only when you become conscious that you will also die, you will turn spiritual. Only when this awareness of mortality seeps into you, you will turn inwards. The moment you address the mortal nature of who you are, you will…

the most popular open-source container orchestrator Traditionally organizations ran applications on physical servers which caused resource allocation issues. So, virtualization was introduced to run multiple Virtual Machines on a single physical server’s CPU. Then we have containers which have relaxed isolation properties to share the OS among the applications. …

Have your static web application packaged, built and deployed using Docker — Why Docker over Virtual Machines? Virtualization with Containers or Docker does not have hypervisor, we have supporting files and libraries which create runtime environment and deeply coupled with operating system kernel. This provides an environment for apps to run directly without having to use hypervisor or guest operating system. This makes containers lightweight and portable.

MapReduce introduced a new parallel programming paradigm based on functional programming for large-scale processing of data distributed over GFS and Bigtable. Alan Kay’s “Simple things should be simple and complex things should be possible” Apache Spark is a unified engine designed for large-scale distributed data processing on-premises in data centers…

Data Engineering Career Learning Path Let’s go over Career Learning Path for Data Engineering first: 1. Entry level, BI Analyst (Business Intelligence Analyst): Key Skills to Learn: SQL, Business Intelligence, Data Analysis, Tableau use various data tools to analyze data to improve process, services and performance to help business enhance data driven decision making Specialization: 1. Learn SQL…