Navigating the Data Engineering Landscape: A Comprehensive Guide — The specialized field of data engineering is ever-expanding and its elements of it are scattered all around. But how do we come to grips with not being confused & consumed in the process of learning? Initially, you must follow a roughly drawn map and leave the rest to the skills…

The Essential Skills for a Successful Data Engineering Career — Are you passionate about using data to create innovative products and solutions? If so, a career as a data engineer may be the perfect fit for you. But what does it take to be successful in this field? …

A simple introduction to Data Engineering — When we scroll through these sites in hopes to find something we need to buy (say, a shirt), we add it to the cart, or we just let it be saved for later. …

Infrastructure as Code using Terraform — Terraform is one of the most popular DevOps tools for IaC from HashiCorp. In a nutshell, it consists of managing a set of resources (computing, network, storage, etc.) using code. Terraform allows you to automate infrastructure on any of the public cloud providers, and in this tutorial we will focus…

Laid out simply Infrastructure as Code (IaC) allows you to render infrastructure using simple configuration files. This blog post will provide a thorough introduction to Infrastructure as Code, and why it is an important tool to data engineers. Issues of the past In the past, when you wanted to deploy an application, you would…

Deploying Airflow Container with Ansible — Docker solves big problems by providing continuous development and testing environments with rapid deployment cycles. It helps you package your application code with dependencies as an image to provide consistent conditions that never break. I have covered how a data engineer can leverage dockerizing custom airflow orchestrations with ease in…

Containerizing Airflow using Docker — As far as data science models are concerned, it is safe to say that they are meant to operate periodically. Airflow is a platform where one can author, monitor, and schedule processes programmatically. Airflow is instrumental in the parallel execution of jobs in addition to scheduling and monitoring. This makes…

An introduction to Big Query — Data, in the modern world, is decentralized and is being generated and collected at a record pace. To ensure that this data is collected and processed in a manner that enables businesses and organizations to achieve their business goals, specialized and optimized tools are required. …

Understanding the two different approaches in data storage architecture — Data Lakes and Data Warehouses are used widely to store large amounts of data. However, they are not interchangeable terms. You will be surprised to know that both of these approaches are complementary to one another. Let’s know about these two terms deeply in the segments mentioned below. Introduction to Data Lake