Data Engineering

What is Data Processing?: A Comprehensive Guide 101

May 17th, 2024 By Dimple M K in Data Engineering

As the world is becoming more data-driven day by day, the need to gain valuable insights from data is also growing. Nowadays, Data Analytics has grown in popular demand in…

ETL vs Data Pipeline : What Are the Key Differences?

April 26th, 2024 By Abhinav Chola in Data Integration, Data Pipeline, ETL

The term "ETL" describes a group of processes used to extract data from one system, transform it, and load it into a target system. A more general phrase is "data…

What Are Observability Pipelines: The Only Guide you Need

April 5th, 2024 By Anmol Baunthiyal in Data Engineering, Data Pipeline

Keeping your data's health up to date is the biggest challenge organizations face today. It's the only way to ensure your information assets are fit for purpose, driving accurate insights.…

Vulnerability Assessment for Data Pipelines: Methods and Tips

February 2nd, 2024 By Jalaj Jain in Data Engineering, Data Pipeline

In data-driven organizations, data is used for strategic decision-making, serving customers, and driving innovation. Therefore, securing it from cyber attacks, malware, and other factors becomes crucial. That is where vulnerability…

Authentication of Data Pipelines: Key Strategies to Secure and Control Your Workflow

February 2nd, 2024 By Suchitra Shenoy in Data Engineering, Data Pipeline

Data pipelines have become an integral part of organizational workflows to keep pace with the rapidly evolving landscape of data management and analytics. By systematically processing and transporting data from…

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

In today’s data-driven world, siloed information is the enemy of business productivity and innovation. As companies adopt an ever-expanding set of cloud platforms and SaaS tools, from CRMs to marketing…

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…