Data Strategy

Airflow BashOperator Demystified | The Best Guide 2025

February 17th, 2022 By Shubhnoor Gill in Data Strategy

Are you curious about how you can use Airflow to run bash commands? The Airflow BashOperator accomplishes exactly what you want. Operators and sensors (which are also a type of…

5 Easy Steps to Carry Out Export Data pgAdmin in PostgreSQL

February 16th, 2022 By Divyansh Sharma in Data Strategy

The blue elephant database system is widely popular for it’s chock-full functionality, feature robustness, and performance. Lionized as the world’s best open-source Relational Database Management System (RDBMS), PostgreSQL allows users…

Airflow Parallelism 101: A Comprehensive Guide

February 16th, 2022 By Davor DSouza in Data Strategy

In this blog, you'll focus more on the Implementation of Apache Airflow Parallelism. If you're new to Apache Airflow, the world of Executors can be confusing. Even if you're a…

NoSQLBooster For MongoDB Simplified: A Comprehensive Guide 101

February 16th, 2022 By Rakesh Tiwari in Data Strategy

If you are a Database Administrator or Developer, you must be aware of the fact that different SQL statements are required for Creating Schemas, Ad-hoc Querying, Initiating Backups, and Troubleshooting.…

Setting Up Airflow S3 Hook: 4 Easy Steps

February 16th, 2022 By Talha in Data Strategy

Airflow is a workflow management tool that helps to represent data engineering pipelines as Python code. Airflow represents workflows as Directed Acyclic Graphs or DAGs. It provides an intuitive user…

The Ultimate Guide on Airflow Scheduler

February 14th, 2022 By Divyansh Sharma in Data Strategy

Workflow Management Platforms like Apache Airflow coordinate your actions to ensure timely implementation. If you are using Airflow, you might be aware of its built-in feature called Airflow Scheduler.  In…

Debezium Features for Data Engineers: 5 Best Features

February 14th, 2022 By Shravani Kharat in Data Strategy

While handling big data, some of the biggest challenges that many Data Engineers face are data inconsistency and monitoring the huge databases. These challenges tend to get more complicated when…

How to Create a Python DAG in Airflow? [Code Included]

February 14th, 2022 By Manisha Jena in Data Strategy

Airflow is a Task Automation tool. It helps organizations schedule their tasks so they are executed when the right time comes. With the automation capabilities of this tool, you don’t…

Understanding the Airflow Celery Executor Simplified 101

February 11th, 2022 By Aditya Jadon in Data Strategy

Data Engineering Pipelines play a vital role in managing the flow of company business data. Organizations spend a significant amount of money on developing and managing Data Pipelines so they…

A Comprehensive Guide for Testing Airflow DAGs 101

February 10th, 2022 By Davor DSouza in Data Strategy

In this article, you'll learn more about Testing Airflow DAGs. This guide will go over a few different types of tests that we would recommend to anyone running Apache Airflow…

Master Kafka Compacted Topic for Log Compaction

February 10th, 2022 By Ishwarya M in Data Strategy

Apache Kafka is an open-source data streaming platform that collects, stores, organizes, and manages real-time data moving into Kafka servers. Since Kafka servers can stream trillions of real-time data or…

Debezium Kafka Auto Topic Creation Simplified: A Comprehensive Guide 101

February 10th, 2022 By Manjiri Gaikwad in Data Strategy

Debezium uses Kafka to handle real-time changes in databases and help developers build data-driven applications. Kafka uses Brokers, which refers to one or more servers in the Kafka clusters. These…

Airflow vs Jenkins: 6 Critical Differences

February 10th, 2022 By Isola Saheed Ganiyu in Data Strategy, Versus

Airflow is open-source software that allows users to create, monitor, and organize their workflows. Alooma describes Airflow as workflow automation and scheduling system for building and managing data pipelines. To…

MongoDB Spring Boot Configuration In a Few Easy Steps

February 9th, 2022 By Vishal Agrawal in Data Strategy

MongoDB is highly elastic and lets you combine and store multivariate data without compromising on the powerful indexing options, data access, and validation rules. On the other hand, Spring Boot…

Understanding RoboMongo (Robo 3T): A Comprehensive Guide

February 9th, 2022 By Aditya Jadon in Data Strategy

RoboMongo (Robo 3T) is a powerful, lightweight, and open-source GUI tool designed for MongoDB management. It simplifies database interaction by offering an intuitive interface, real-time autocompletion, and asynchronous operations. Developers…

How to Generate Airflow Dynamic DAGs: Ultimate How-to Guide101

February 8th, 2022 By Harsh Varshney in Data Strategy

Users can design workflows as DAGs (Directed Acyclic Graphs) of jobs with Airflow. Airflow's powerful User Interface makes visualizing pipelines in production, tracking progress, and resolving issues a breeze. Writing…

Install Airflow: 4 Easy Steps Explained

February 7th, 2022 By Arsalan Mohammed in Data Strategy

Apache Airflow is a powerful tool for managing and automating workflows and can be installed on multiple operating systems. It is one of the most trusted platforms for orchestrating workflows…

Understanding Redash: 4 Critical Aspects

February 4th, 2022 By Ratan Kumar in Data Strategy

The rising complexity of Big Data was preventing organizations from leveraging information for Data Analytics. Today, modern Data Analytics tools have become much more sophisticated to work with due to…

Understanding Sports Data Analytics Simplified

February 4th, 2022 By Najam Ahmed in Data Strategy, Marketing Analytics

Popular sports like football, soccer, cricket, tennis, and hockey are watched by audiences all over the globe. There’s big money involved, and larger teams are always looking to find a…

Understanding Python Operator in Airflow Simplified 101

February 4th, 2022 By Shravani Kharat in Data Strategy

Apache Airflow is an open-source workflow management platform for building Data Pipelines. It enables users to schedule and run Data Pipelines using the flexible Python Operators and framework. The ability…