Popular Articles

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…

Do You Really Need Hevo Alternatives? There Are None. Reasons Why The Best Data Engineers Love Hevo!

November 29th, 2024 By Kamlesh in Platform, Product

When searching for a reliable data integration platform, many options might cross your mind. However, Hevo Data stands out as a no-code, fully managed solution. Recognized in G2's Fall 2021…

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…

Matillion vs Airflow: Which one to choose in 2025?

December 6th, 2024 By Arjun Narayan in Data Integration, ETL

Matillion is a cloud-based ETL tool known for its user-friendly, low-code interface. It’s great for teams that want to get pipelines up and running quickly without heavy coding. It also…

Comprehensive Overview of DataOps Framework

December 20th, 2024 By Maria Asghar in Data Strategy

As various industries are heavily relying on data, they face issues like lack of collaboration between their teams, bottlenecks in data pipelines, and slow delivery of insights to make decisions.…

What is a Marketing Data Lake? Key Insights & Benefits

December 20th, 2024 By Dipal Prajapati in Data Strategy, Marketing Analytics

In the data-driven age of decision-making, businesses rely on a vast volume of marketing data to understand customer behavior, optimize campaigns, and increase the growth. However, extracting insights from diverse…

What is ETL Data Modeling? The Why’s and How’s

January 31st, 2025 By Muhammad Usman Ghani Khan in Data Engineering

Businesses rely on data to drive decisions, uncover trends, and stay ahead of the competition. But raw data is often messy, scattered across multiple sources, and difficult to analyze effectively.…

Coalesce vs dbt: 7 Key Differences & Best Choice for You

January 31st, 2025 By Kamlesh in Data Strategy, Versus

Choosing the right data transformation tool can make all the difference for efficient data workflows. Coalesce and dbt are two of the most popular choices that bring unique features to…

ETL and SQL: How They Work Together, Best Tools & Best Practices

January 31st, 2025 By Asimiyu Musa in Data Integration, ETL

The advancement of technology and data management tools has made it possible for businesses and organizations to generate data at a higher rate. These data are then analyzed, and the…

What Is Data Integration in Business Intelligence: Key Steps, Top Tools & Best Practices

February 16th, 2025 By Maria Asghar in Data Integration

Whether in healthcare or the retail industry, everyone needs data to succeed in their business. Data helps make clear decisions and helps businesses understand people and their needs. That is…

What Are the Important ETL Requirements: Explained in Detail

February 7th, 2025 By Ruhee Shrestha in Data Integration, ETL

Building data pipelines requires a highly technical skill set, which your organization can accomplish by hiring a data engineering team or purchasing an ETL tool or data integration platform such…

What Is ETL Data Mapping And Why Should You Know About It?

February 7th, 2025 By Vishal Agrawal in Data Engineering

In today’s data-driven world, businesses rely solely on data to make informed decisions. For this, they need to efficiently extract, transform, and load (ETL) vast amounts of data. While ETL…

What is Google Dataflow?

February 7th, 2025 By Raju Mandal in Data Engineering

Have you heard of the Google Cloud Platform, offering a completely managed stream and batch data processing service? Well, this modern data engineering technology plays an essential part in dealing…

Big Data Integration: Are You Making the Most of Its Potential?

February 16th, 2025 By Srishti in Data Integration

You work with data to gain insights, improve decisions, and develop new ideas. With more and more data coming from all sorts of places, it's super important to have a…

Data Lineage in ETL: Importance, Challenges, and Solutions

January 27th, 2025 By Sarang Ravate in Data Integration, ETL

The term ‘lineage’ mainly creates a genealogy or family background or the manner in which people are related across the generations. Data lineage is no different in concept. It gives…

How to Build a Modern Data Team Structure?

February 16th, 2025 By Khawaja Abdul Ahad in Data Engineering

It is the 21st century and you are leading a fast-growing fintech startup that is about to hit a breaking point. The data team has doubled in size over six…

What Is a Universal Semantic Layer? Implentation Steps, Popular Tools & Use Cases Explained

February 16th, 2025 By Srujana Maddula in Data Strategy

Big data is now crucial for driving business decisions. Companies are tapping into it to gain valuable insights and make smarter moves. To unlock this power, they're using tools like…

Marketing Data Integration: What Is It and How It Works?

January 31st, 2025 By Christina Rini in Data Integration

With growing businesses, marketing teams are flooded with a wealth of data from various platforms such as social media, email campaigns, customer feedback, websites, and offline in-store. The real challenge…

Data Ingestion vs Data Integration: What Is the Right Approach for Your Business

February 23rd, 2025 By Muhammad Usman Ghani Khan in Data Integration

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of…

Hevo vs dbt: Choosing the Best Tool for Your Data Needs

January 31st, 2025 By Skand Agrawal in Data Strategy, Versus

Given the era of big data, organizations are producing and analyzing enormous amounts of data daily. They use tools that enable streamlining data ingestion, transformation, and analysis to try to…