Recent Articles

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…

Databricks Query Optimization – A Complete Guide to Increase Performance for 2025

September 1st, 2024 By Sarang Ravate in Data Warehousing

Optimization plays a big role in data engineering since Large scale and complex data requires better management and Querying of data. In platforms like Databricks based on speed and performance,…

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…

Boomi vs Informatica: A Comprehensive Gartner-rated iPaaS Comparison for 2025

August 30th, 2024 By Rajashree Bhat in Platform, Product

Today's world is all about data hence, choosing the right Integration Platform as a Service-or iPaaS-enterprises will further seek streamlined operations, better quality of data, and ease in connecting diverse…

AWS Glue Architecture: Components, Working, and Alternatives

August 30th, 2024 By Skand Agrawal in AWS, Data Strategy

AWS Glue is a fully managed serverless ETL service that simplifies preparing and loading data for analytics. But how does it work? To answer that question, we need to understand…

AWS Glue Data Quality: Implementation, Best Practices & Alternatives

August 30th, 2024 By Asimiyu Musa in AWS, Data Strategy

More than ever, organizations face increasing challenges in maintaining data quality as their data size and complexity grow exponentially. They must now rely on efficient tools and services to ensure…

5 Best Cloud Data Warehouses (Based on G2 Ratings)

August 30th, 2024 By Suraj Poddar in BigQuery, Data Warehousing, Redshift, Snowflake

In today’s cloud-rich landscape, businesses are turning to data warehouses to store, manage, and analyze their data. As of 2024, over 65k companies use cloud data warehouses to enhance their…

Quick Guide to the Snowflake Semantic Layer in 2025

August 30th, 2024 By Ahmed Shaaban in Data Warehousing, Snowflake

Snowflake is a cloud data warehouse that has taken the world by storm, establishing itself as one of the core technologies in the cloud era. Snowflake is a cross-cloud platform;…

Building with AWS Glue S3: A Step-by-Step Guide

August 28th, 2024 By Suraj Poddar in Platform, Product

In this blog, we will explore how to build a data pipeline using AWS Glue S3. We will go through every step of the process, and by the end, you…

Databricks vs Airflow: A Comprehensive Comparison

August 28th, 2024 By Arun Chaudhary in Platform, Product

In the evolving world of data engineering, selecting the right tools for data processing and workflow orchestration is crucial for ensuring efficient and scalable operations. Two popular tools in this…

AWS DMS Pricing: A Detailed Breakdown

August 28th, 2024 By Raju Mandal in AWS, Data Strategy

Organizations store data across multiple systems, platforms, and infrastructure from on-premise locations to the cloud. Moving data from one location to another can be a pretty complicated process involving planning,…

A Complete Guide to Setup Airflow MySQL Connection

August 28th, 2024 By Srujana Maddula in Data Integration, MySQL

Building and managing effective data pipelines is becoming more important due to the growing demand for data-based technologies. Therefore, orchestration tools like Apache Airflow have become popular among data engineers…

Data Migration Challenges and Solutions for 2025

August 28th, 2024 By Sakshi Kulshreshtha in Best Practice, Data Strategy

In 2020, the world contained 44 zettabytes of data. It has been projected that by 2025, global cloud storage will hold more than 200 zettabytes of data, with 463 exabytes…

Real-Time Data Streaming: MongoDB Change Stream Kafka

August 28th, 2024 By Neha Sharma in Change Data Capture CDC

With the rise of modern data tools, real-time data processing is no longer a dream. The ability to react and process data has become critical for many systems. Over the…

Informatica vs MuleSoft: Which Data Integration Tool is Right for You?

August 23rd, 2024 By Roopa Madhuri G in Data Engineering

With growing data and business needs, having an efficient data integration tool to migrate and manage your data has become crucial. Almost every organization keeps its data in different locations,…

Airflow vs NiFi: Choosing the Right Tool

August 23rd, 2024 By Kamlesh in Data Engineering

In the modern, data-driven world, efficient workflow automation and data pipeline orchestration are crucial for any organization connected to complicated data systems. Whether a data engineer, IT professional, or decision-maker…

Talend vs Airflow: Which Data Integration Tool is Right for You?

August 23rd, 2024 By Arjun Narayan in Platform, Product

Choosing the right data integration tool is crucial for managing workflows and ensuring your data pipelines are efficient and reliable. Talend and Airflow are two powerful tools in this space,…

Airbyte vs Airflow: Which Tool Should You Choose in 2025?

August 22nd, 2024 By Rashmi Joshi in Platform, Product

In the world of data engineering, the choice of tools can significantly impact the efficiency and scalability of your data workflows. Two popular options are Airbyte and Apache Airflow. Both…

AWS Glue vs Informatica: A Comprehensive Comparison

August 22nd, 2024 By Arun Chaudhary in Platform, Product

Businesses today rely heavily on efficient data integration and ETL (Extract, Transform, Load) tools to manage and analyze their data. Choosing the right tool can significantly impact an organization's ability…

Building a Data Engineering Team: Strategies and Best Practices

August 22nd, 2024 By Usama Hameed in Data Engineering

Having a robust data engineering team is crucial for organizations to extract maximum value from their data assets. A well-structured data engineering team can streamline data pipelines, ensure data quality,…