Popular Articles

BigQuery to SQL Server: 3 Methods to Enhance Data Migration

March 29th, 2024 By Saloni Agarwal in BigQuery, Data Integration, SQL Server

Key Takeaways Migrating data from BigQuery to SQL Server can be done in three ways: Method 1: Using Hevo Configure BigQuery as your source in Hevo with project, dataset, and…

Snowflake Snowpipe: The Ultimate Tool For Data Loading

July 5th, 2024 By Roopa Madhuri G in Data Integration, Snowflake

Data practitioners often need manual intervention to load large volumes of data into Snowflake in near real-time. Traditional batch loading can be slow and intensive and may lead to latency…

Enhance Database Management with Schema Change Snowflake

June 14th, 2024 By Dimple M K in Data Warehousing, Snowflake

Schema management is crucial for ensuring data quality and consistency in a database. One prominent feature it enables is version control and change management. Version control helps maintain the history…

Snowflake Warehouse vs Database: Deep Understanding

June 26th, 2024 By Sarthak Bhardwaj in Data Warehousing, Snowflake

Many organizations often ponder if Snowflake, a modern data analytics platform, is a data warehouse or database. Data warehouse and database are two key components of Snowflake’s architecture. Both play…

Rivery vs Fivetran: A Comprehensive Comparison for 2026

April 23rd, 2025 By Roopa Madhuri G in Platform, Product

Although Rivery and Fivetran often emerge as top players in the modern data integration space, they do so for very different reasons. Fivetran is known for its plug-and-play simplicity and…

The Best AWS Glue Tutorial: 3 Major Aspects

June 20th, 2024 By Vishal Agrawal in AWS, Data Strategy

ETL (Extract, Transform, and Load) is an emerging topic in all IT Industries. Industries often look for an easy solution to do ETL on their data without spending much effort…

Quick Guide to the Snowflake Semantic Layer in 2026

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

Snowflake is an AI Data Cloud 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;…

Enhance Data Integrity With Snowflake Date Format

June 7th, 2024 By Sarad Mohanan in Data Warehousing, Snowflake

Data and time information are essential for accurately capturing, organizing, and processing data for effective data management. These functions help you extract information from the storage system in a logical…

PostgreSQL on Google Cloud SQL to Snowflake: 2 Easy Methods to Load Data

September 22nd, 2023 By Suchitra Shenoy in Data Integration, PostgreSQL, Snowflake

Unlock the full potential of your PostgreSQL on Google Cloud SQL data by integrating it seamlessly with Snowflake. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below…

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…

AWS Aurora vs Snowflake: 5 Critical Differences

May 10th, 2024 By Manisha Jena in AWS, Data Strategy, Versus

Nowadays, with ever-increasing data, storage and analysis of large volumes of data have become basic foundations of any organization. While focusing on storage and analysis, which two concepts come to…

What is Fivetran? And Why Hevo Might Be the Better Pick for You

April 23rd, 2025 By Khawaja Abdul Ahad in Data Integration

“Data scientists spend 80% of their time cleaning and organizing data—and only 20% actually analyzing it.” - Forbes It’s a painful truth. You hire a data team to uncover insights,…

Apache Airflow Use Cases and 5 Best Practices

April 23rd, 2025 By Arsalan Mohammed in Data Strategy

Apache Airflow is a tool that can create, organize, and monitor workflows. It is open-source hence it is free and has a wide range of support as well. It is…

BigQuery Cached Query Results 101: Usage Made Easy

June 14th, 2024 By Dimple M K in BigQuery, Data Warehousing

Most sectors have shifted their focus online, which has led to massive data generated from sensors to customer behavior metrics. The outcome? There is an overwhelming need for Data Analytics…

Snowflake Data Mart – How to Build One?

June 26th, 2024 By Skand Agrawal in Data Warehousing, Snowflake

Your organization may store large volumes of data in a single Snowflake data warehouse. However, extracting data specific to individual departments from the data warehouse can be time-consuming, delaying your…

Amazon Redshift Data Sharing Simplified 101

May 17th, 2024 By Satyam Agrawal in Data Warehousing, Redshift

Team members of every organization often share data among themselves to promote unified decision-making about products and consumers. With traditional Data Warehouses, Data Sharing can be stressful and time-consuming. Users…

What Is AWS Data Pipeline: Core Concepts & Implementation Explained

April 5th, 2024 By Vivek Sinha in AWS, Data Strategy

AWS Data Pipeline is a web service that lets you process and moves data at regular intervals between AWS computing and storage services, as well as on-premises data sources. It…

Snowflake TO_DATE: Level-Up your Data Transformation

June 7th, 2024 By Satyam Agrawal in Data Warehousing, Snowflake

Date and time are important data types for analyzing trends and patterns during data analysis. They also help manage deadlines and inventories by comparing changes in resources over a period…

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…

Talend vs Informatica: Comparison of Data Integration Tools for 2026

April 23rd, 2025 By Sarthak Bhardwaj in Platform, Product

In today’s data-driven world, businesses rely heavily on data integration tools to streamline their data workflows. These tools are crucial in extracting, transforming, and loading (ETL) data from various sources…