Data Engineering

What are the Types of Database Migration? [+Concepts and Strategies]

December 29th, 2023 By Suchitra Shenoy in Data Engineering

Expanding businesses and evolving technologies often necessitate the modernization of data management systems. As your company grows, your data infrastructure must also scale accordingly to handle the increased data volumes…

Data Pipeline Automation: Steps & Top Tools Explained

December 29th, 2023 By Suchitra Shenoy in Data Engineering, Data Pipeline

Automation has not just made our lives simpler, whether it’s handling our daily routines or managing the intricate workflows within the organization. In the world of data, this technological wonder…

What is Data Synchronization?[+Types, Methods, Benefits & Tools]

December 29th, 2023 By Jalaj Jain in Data Engineering

Organizations use digital solutions, including APIs, IoT devices, web applications, and mobile applications, to run business operations. However, this leads to data being stored in disparate sources. With multiple data…

Establishing a Robust Data Governance Framework

December 29th, 2023 By Suchitra Shenoy in Data Engineering

The exponentially increasing enterprise data volumes, alongside the need for organizing and protecting internal data, make data governance an urgent strategic initiative. This ensures that each data element collected by…

What Is Data Automation: Key Concepts, Examples & Steps Explained

June 11th, 2023 By Abhishek Duggal in Data Automation, Data Engineering

Businesses typically generate and store colossal amounts of data from which they derive meaningful insights for faster and better decision-making using business intelligence (BI). Because of the variety and complexity…

ELT Pipelines: A Comprehensive Guide for 2025

May 9th, 2023 By Harshitha Balasankula in Data Engineering, Data Pipeline

A Data Pipeline is a system for transporting data from one location (the source) to another (the destination) (such as a data warehouse). Data is transformed and optimized along the…

Build or Buy Data Pipelines? The Only Guide You’ll Need (+Detailed TCO Calculation)

May 5th, 2023 By Amit Phaujdar in Data Engineering, Data Pipeline

"Why build when you can buy?" To be honest, that is a valid question. Why spend so much time and resources building your data architecture when you can leverage well-engineered…

5 Best ETL Automation Testing Tools for 2025

March 17th, 2023 By Jayesh Asrani in Data Automation, Data Engineering

The ETL (Extract, Transform, Load) process is at the core of modern data management, ensuring that data is accurately moved and transformed between systems. However, even the most well-designed ETL…

What Is a Data Pipeline? Types, Components and Architecture

January 20th, 2023 By Manik Chhabra in Data Engineering, Data Pipeline

Key Takeaways A data pipeline is a set of processes that automates the movement, transformation, and storage of data from multiple sources to a destination, such as a data warehouse…

How to Build a Data Pipeline: Step-by-Step Guide for Success

January 20th, 2023 By Preetipadma Khandavilli in Data Engineering, Data Pipeline

As data-driven applications continue to grow, businesses are burdened with the complexity and expense of independently managing data. This complexity compounds when you have to aggregate data from various sources…

6 Incredible Advantages of Data Pipelines

January 20th, 2023 By Amit Phaujdar in Data Engineering, Data Pipeline

It is a capital mistake to theorize before one has data -The detective in the funny hat. Even though Sherlock Holmes said this back in 1888, it still rings true…

5 Types of Data Pipelines with Critical Benefits

January 20th, 2023 By Preetipadma Khandavilli in Data Engineering, Data Pipeline

Today, diverse data plays an essential role in creating effective business strategies for growth. However, collecting data from different sources requires building different types of data pipelines, regardless of the…

PagerDuty to BigQuery Integration: 2 Easy Methods to Connect

November 9th, 2022 By Sharon Rithika in BigQuery, Data Engineering, Data Integration, Data Pipeline

You are going about your day setting up and operating your organization's data infrastructure and preparing it for further analysis. Suddenly, you get a request from one of your team…

GitLab Pipeline APIs & Triggers: Made Easy 101

May 27th, 2022 By Manisha Jena in Data Engineering, Data Pipeline

In this modern and advanced technical world, the demand for Continuous Integration and Development (CI/CD) in day-to-day business operations has increased. Businesses have increased their dependency on various  DevOps tools…

What Is a Big Data Pipeline? Key Components, Architecture & Use Cases

May 25th, 2022 By Amit Phaujdar in Data Engineering, Data Pipeline

Big data pipelines can be described as subsets of ETL solutions. Like typical ETL solutions, they can dabble with semi-structured, structured, and unstructured data. The flexibility allows you to extract…

Bitbucket Pipeline Triggers: A Comprehensive Guide 101

May 13th, 2022 By Samuel Salimon in Data Engineering, Data Pipeline

The Bitbucket Pipelines tool allows your team to automate the software development process by seamlessly integrating and delivering it. The importance of automation in the software development process has never…

Establish Power BI Deployment Pipelines: Easy Step-by-Step Guide

May 10th, 2022 By Manisha Jena in Data Engineering, Data Pipeline

The term "Visual Analytics" refers to the combination of data analytics and visualizations. This problem-solving approach aims to effectively facilitate high-level, complex activities such as reasoning and data-driven decision-making by…

Bitbucket Pipelines: How to Setup, Change Templates & Add Pipes?

May 5th, 2022 By Ishwarya M in Data Engineering, Data Pipeline

Bitbucket is one of the industry-leading repository management solutions that allow developers to seamlessly implement open DevOps tasks. Bitbucket offers a variety of services to developers, such as allowing teams…

Informative Guide on Azure Pipeline Triggers: 3 Key Types & More

May 5th, 2022 By Divyansh Sharma in Data Engineering, Data Pipeline

When designing Data Movement Workflows, it is also important to design how these Data  Movement Workflows will be executed. Azure Pipeline Triggers play an important role while building your software…

Using GitLab Scheduled Pipelines Simplified 101

May 4th, 2022 By Aman Sharma in Data Engineering, Data Pipeline

The use of modern and advanced applications in daily business activities also increased the demand for Continous Integration and development. In a fast-paced environment, companies require DevOps tools to optimize…