Data Strategy

How to Schedule Spark Airflow Jobs Simplified 101

February 21st, 2022 By Manisha Jena in Data Strategy

Airflow is a Task Automation tool. It helps organizations to schedule their tasks so that they are executed when the right time comes. This relieves the employees from doing tasks…

Getting Started with Golang MSSQL Server: Easy Step-by-Step Explanation

February 18th, 2022 By Syeda Famita Amber in Data Strategy

A database is a logically organized collection of structured data kept electronically in a computer system. The collection of facts or information that has been carefully structured allows a computer to…

Sending Emails using Airflow EmailOperator Simplified: 9 Easy Steps

February 18th, 2022 By Hitesh Jethva in Data Strategy

Automation serves as a strategic function to reduce human efforts and enhance productivity in different lines of operations. Nevertheless, most businesses fail to automate the processes, and these human-driven processes…

Airflow Hooks Explained 101: A Complete Guide

February 18th, 2022 By Suraj Poddar in Data Strategy

Airflow has emerged as a common component in the Data Engineering Pipelines in recent times. Started in 2014 by Airbnb, Airflow was developed to orchestrate and schedule user tasks contained…

Understanding Google URL Builder: 5 Easy Steps

February 18th, 2022 By Isola Saheed Ganiyu in Data Strategy

Are you worried that your Ad Campaign may not work at the end of the day? Then, you should use the Google URL Builder to put the situation under control.…

What is Debezium Logging? Critical Concepts and Configurations

February 17th, 2022 By Manjiri Gaikwad in Data Strategy

Logging in databases refers to the process of keeping every minor update of database activity in terms of messages. These log messages or log files are essential when the system…

Trigger Airflow DAGs in Apache Airflow: 2 Easy Ways

February 17th, 2022 By Yash Arora in Data Strategy

DAG scheduling may seem difficult at first, but it really isn't. And if you are a data professional who wants to learn more about data scheduling and how to run…

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…