Popular Articles

11 Tips to Strategize your Databricks Cost Optimization

September 26th, 2024 By Neha Sharma in Data Warehousing

Databricks is a popular and powerful unified analytics platform. It helps organizations streamline their data engineering, machine learning, and analytics tasks. As data grows and organizations understand the importance of…

AWS Glue Catalog: The Complete Guide

August 12th, 2024 By Vishal Agrawal in AWS, Tutorials

Cloud Technology has revolutionized the way businesses manage and process data. Previously, there was a high demand for hardware to store and manage data, but that comes with a cost…

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,…

Fivetran vs Stitch: Key Comparisons

August 16th, 2024 By Arjun Narayan in Data Strategy, Versus

Data integration is central to making informed business decisions for any organization in this data-driven world. ETL tools are central to this since they enable organizations to manage their data…

Integrating ActiveCampaign to Redshift: Boost Campaign Insights

May 31st, 2024 By Skand Agrawal in Data Integration, Redshift

ActiveCampaign is a prominent digital marketing platform that stores customer data and creates personalized ad campaigns to generate better engagement results. Integrating this data into a data warehousing service like…

How to Integrate DynamoDB to S3 Within 1 Minute?

October 28th, 2024 By Kamlesh in AWS, Data Integration

Interactive Demo to Connect DynamoDB to S3 Using Hevo Steps to Connect DynamoDB to S3 Easily Step 1: Configure DynamoDB as your source. Click on the ‘Create Pipeline’ button. Search…

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,…

8 Best Azure ETL Tools for Data Engineers to Consider in 2025

September 27th, 2024 By Kamlesh in Data Engineering

Moving data efficiently in Azure isn’t just about picking any ETL tool—it’s about finding one that fits my workflow without adding complexity. If you’ve ever dealt with slow data pipelines,…

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…

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…

Snowflake Monitoring with Snowflake Trail

September 20th, 2024 By Ruhee Shrestha in Data Warehousing, Snowflake

As developers and data engineers build complex applications in Snowflake, monitoring performance is essential for ensuring smooth operation and a positive customer experience. Snowflake operations can be tracked using Snowsight,…

Fivetran vs RudderStack Comparison

August 13th, 2024 By Arun Chaudhary in Data Strategy, Versus

Integrating and transforming data efficiently is crucial for businesses seeking actionable insights. ETL tools have become essential for companies, making data integration and transformation smooth and efficient. With so many…

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…

Data Mesh vs Data Warehouse: A Guide to Choosing the Right Data Architecture

September 10th, 2024 By Kamlesh in Best Practice, Data Strategy

Nowadays, when it comes to data management, every business has to make one critical decision: whether to use a Data Mesh or a Data Warehouse. Both are strong data management…

How dbt Semantic Layer Simplifies Data for Decision-Making

August 22nd, 2024 By Khawaja Abdul Ahad in Data Strategy

Data is a productive asset, but it is also becoming complex. As organizations grow and accumulate vast amounts of data, managing data becomes a challenge. Raw data becomes overwhelming, especially…

Fivetran vs Informatica: Comprehensive Comparison for 2025

August 16th, 2024 By Rajashree Bhat in Data Strategy, Versus

If any of you are in data integration, you'll know how important ETL tools are to handling your data from multiple sources. Today, we will compare two such tools: Fivetran…

Getting Started with Snowflake Materialized Views

September 10th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

In Snowflake, the views are crucial for organizing, selecting, and retrieving data while not copying the data itself. Instead, if performance is a concern—such as in querying large data sets—then…

Using Debezium CDC for Easy Real Time Data Migration in 2025

September 1st, 2024 By Radhika Gholap in Change Data Capture CDC

In today’s fast-paced data environment, Change Data Capture (CDC) transforms how organizations handle and synchronize their expanding data volumes. According to the Market Analysis Report, the global data management market…

Fivetran vs Airflow: Complete Guide for 2025

August 16th, 2024 By Rajashree Bhat in Platform, Product

In the world of data management, ETL (Extract, Transform, Load) tools play a crucial role in ensuring data is efficiently integrated, transformed, and loaded into data warehouses. These tools are…

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…