Popular Articles

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…

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;…

Understanding Snowflake UI: An Easy Guide

June 7th, 2024 By Arsalan Mohammed in Data Warehousing, Snowflake

This article talks about Snowflake UI and provides information about its Database, Warehouse, Worksheet, and History pages. In addition to that, It also talks about other UI help and user…

Mastering ETL Security: Essential Challenges and Expert Solutions

April 12th, 2024 By Anaswara Ramachandran in Data Integration, ETL

According to Expert Market Research, the global big data & Analytics market is expected to grow at a CAGR of 10%. This report also forecasts that the global investment in…

What is AWS Glue?: 4 Comprehensive Aspects

April 5th, 2024 By Anmol Baunthiyal in AWS, Data Strategy

With the vast sea of information that is growing every day, most organizations are looking toward Cloud-based solutions to collect, store and work on their data. Furthermore, the ETL process…

Batch Processing vs Stream Processing: Key Differences Explained

May 3rd, 2024 By Harshitha Balasankula in Data Strategy, Versus

Data Processing is the collection, manipulation, and processing of collected data for the intended use. It is a computer-assisted technique that involves retrieving, transforming, or classifying data. Computerized Batch Processing…

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…

HubSpot to Azure Synapse: 2 Ways to Integrate Data

August 21st, 2023 By Charanya Satpute in Data Integration

Easily move your data from Hubspot To Azure Synapse to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to see…

How to Migrate NetSuite Data to SQL Server: Step-by-Step

March 29th, 2024 By Suraj Kumar Joshi in Data Integration, SQL Server

Quick Takeaway NetSuite to SQL Server integration enables seamless data flow between your ERP and database, unlocking deeper insights and advanced analytics. Few methods of integration are : Method 1:…

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…

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…

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,…

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…

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…

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…

Airbyte vs Airflow: Which Tool Should You Choose in 2026?

August 22nd, 2024 By Ujwal Vangapally in Platform, Product

Key Takeaways Airbyte is specifically built for data movement. It offers one of the largest connector libraries with 600+ integrations, so you can extract and load data from niche sources.…

Google BigQuery vs Athena: 7 Critical Differences

May 10th, 2024 By Nitin Birajdar in BigQuery, Data Warehousing, Versus

Today, every organization is moving to serverless cloud offerings to solve many data-related challenges. The primary issue these companies face occurs while trying to manage vast data repositories. In such…

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…

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…

How to Implement Debezium SMT (Single Message Transformations)?

June 20th, 2024 By Manjiri Gaikwad in Data Strategy

Debezium is an open-source, distributed system that can convert real-time changes of existing databases into event streams so that various applications can consume and respond immediately. Debezium uses connectors like…