Data Engineering

The Future of Data Engineering Is Here—5 Trends You Can’t Ignore in 2025!

January 9th, 2025 By Sid Lasley in Data Engineering

Have you ever felt like data engineering is evolving at the speed of light? With new tech emerging almost daily, it's no surprise that staying ahead of the curve is…

Mastering Data Migration: Risks, Challenges, and Proven Strategies for Success

December 30th, 2024 By Muhammad Usman Ghani Khan in Data Engineering

Businesses that want to become efficient, effective in their decision process and relevant in the current market must necessarily consider data migration as a top priority. It allows them to…

What Is a Streaming Data Pipeline: Key Features & Use Cases

December 20th, 2024 By Vishal Agrawal in Data Engineering, Data Pipeline

In this fast-paced digital era, multiple sources like IoT devices, social media platforms, and financial systems generate the data continuously and in real-time.  Every business wants to analyze these data…

Mastering Data Consolidation: Benefits, Techniques, and Challenges

December 20th, 2024 By Hafiz Umer Draz in Data Engineering

Introduction Floundering with data fragmentations across various systems? For businesses trying to thrive in a competitive world, seamless access to unified and real data is no longer optional but inevitable.…

The Data Engineering Wrap-Up: 2024’s Biggest Trends

December 19th, 2024 By Sid Lasley in Data Engineering

With the year 2024 nearing its end, it is time to examine the significant trends and advancements that have impacted the field of data engineering. If you’re like me, you’ve…

Simplifying Business Data: The Power of Data Centralization 

December 15th, 2024 By Sarang Ravate in Data Engineering, Data Strategy

There is no denying the fact that in the modern business world, information reigns supreme because that is what is crucial in making decisions. The problem comes when this information…

Databricks Overwrite: Are You Leveraging Its Full Potential?

December 15th, 2024 By Srishti in Data Engineering

Your organization's data requirements are quite special in nature. As the volume and complexity of the data rises, your organization persistently seeks ways to obtain insightful information from everyday updates…

What are Databricks Materialized Views and How to Boost Query Performance Using Them?

November 15th, 2024 By Christina Rini in Data Engineering

Accessing and performing large volumes of data is crucial in data analytics and engineering. As datasets grow larger and more complex, executing queries repeatedly can become a bottleneck, slowing down…

How to Use MySQL ALTER TABLE command?

November 11th, 2024 By Christina Rini in Data Engineering

MySQL is the most popular open-source relational database management system (RDBMS) developed by Oracle Corporation, and it has become a staple for developers and data professionals.  It is very important…

Understanding Conceptual vs Logical vs Physical Data Models for Effective Databases

November 11th, 2024 By Khawaja Abdul Ahad in Data Engineering

Consider designing a skyscraper. You would first need to create a high-level design. Next, you would create detailed plans for each floor. Lastly, you would choose the building materials and…

10 Best Azure ETL Tools to Consider in 2025

September 27th, 2024 By Kamlesh in Data Engineering

I found it tough to manage data from different sources, keep my pipelines running smoothly, and handle growing amounts of information without constant headaches. That’s when I turned to Azure…

Understanding Modern Data Architecture

September 17th, 2024 By Asimiyu Musa in Data Engineering

Organizations have begun to built data warehouses and lakes to analyze large amounts of data for insights and business reports. Often time they bring data from multiple data silos into…

Top 5 Kafka Tools for Data Engineers in 2025

September 13th, 2024 By Sarad Mohanan in Data Engineering

As the dependency on high-quality, real-time data availability increases, the need for event/data streaming tools becomes increasingly crucial. Apache Kafka has become one of the most trending event streaming platforms,…

Airflow Architecture: 101 on Workflow Orchestration

September 11th, 2024 By Chirag Agarwal in Data Engineering

Data pipelines and workflows have become an inherent part of the advancements in data engineering, machine learning, and DevOps processes. With ever-increasing scales and complexity, the need to orchestrate these…

How to Code a Data Pipeline Python

September 11th, 2024 By Raju Mandal in Data Engineering, Data Pipeline

A Data Pipeline is an indispensable part of a data engineering workflow. It enables the extraction, transformation, and storage of data across disparate data sources and ensures that the right…

Building a Successful Data Migration Team

September 6th, 2024 By Khawaja Abdul Ahad in Data Engineering

Did you know that Netflix is one of the biggest clients for AWS? They did not just push a button when they shifted their entire data infrastructure. It took them…

What is a Modern Data Stack? – Everything You Need to Know 

September 6th, 2024 By Srujana Maddula in Data Engineering

Building an efficient data stack that can handle big data is no small feat, whether due to growing data demands or operational costs. A modern data stack solves these problems…

Alteryx vs Matillion: A Side-by-Side Detailed Comparison

September 5th, 2024 By Suraj Poddar in Data Integration, Data Pipeline

Data is the new currency in today's world, helping industries make decisions and innovations. To use data to its full potential, organizations require powerful tools to manage, transform, and analyze…

How to Perform Airflow Oracle Connection?

September 1st, 2024 By Khawaja Abdul Ahad in Data Engineering

Imagine putting hours into manually handling data tasks only to discover that one small mistake has caused the entire process to fail. Yes, it is frustrating. This is why automation…

Airflow vs Azure Data Factory: Guide to Choose the Right Tool

September 1st, 2024 By Arjun Narayan in Data Engineering

Managing and orchestrating data workflows efficiently is crucial in today's data-driven world. As the amount of data constantly increases with each passing day, so does the complexity of the pipelines…