Popular Articles

Understanding Redshift Table Lock: 3 Comprehensive Aspects

May 17th, 2024 By Veeresh Biradar in Data Warehousing, Redshift

Businesses today deal in huge quantities of data every day. Data plays a key part in their Decision Making, Marketing, Sales, and other major activities. Therefore, companies look for cloud-based…

ETL vs Data Pipeline : What Are the Key Differences?

April 26th, 2024 By Abhinav Chola in Data Integration, Data Pipeline, ETL

The term "ETL" describes a group of processes used to extract data from one system, transform it, and load it into a target system. A more general phrase is "data…

Hive vs Redshift: 10 Key Differences

May 3rd, 2024 By Suraj Poddar in Data Warehousing, Redshift, Versus

The amount of data to be stored, monitored, and analyzed grows tremendously as a company grows. Queries on typical Database Warehouses will begin to take longer, making Data Management more challenging. With…

Connect Azure SQL to BigQuery: 3 Easy Methods

May 24th, 2024 By Dimple M K in BigQuery, Data Integration, SQL Server

Unlock the full potential of your Azure SQL data by integrating it seamlessly with BigQuery. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see it…

Data Wrangling vs ETL: 5 Pivotal Differences

April 26th, 2024 By Amulya Reddy in Data Integration, ETL

In today's data-driven era, you have more raw data than ever before. However, to leverage the power of big data, you need to convert raw data into valuable insights for…

Snowflake Terraform Integration Made Easy

July 8th, 2024 By Roopa Madhuri G in Data Warehousing, Snowflake

Managing infrastructure manually across multiple cloud providers leads to consistency, deployment delays, and difficulty in scaling. You need a solution that automates infrastructure provisioning, ensures consistency, and supports rapid deployment…

Enhance Data Management with Snowflake Create Schema

June 7th, 2024 By Nitin Birajdar in Data Warehousing, Snowflake

A schema is a logical representation of how data is organized into tables. Before importing any dataset into a data warehouse platform like Snowflake, it is necessary to understand how…

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…

Fivetran vs Airbyte: Comparison of Leading Data Integration Tools

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

Choosing between Fivetran and Airbyte often feels like choosing between reliability and flexibility.  Fivetran’s fully managed pipelines automate data flows – “virtually eliminating maintenance overhead” with around 99.9% uptime  –…

How to Use DATEDIFF Snowflake Function: A Comprehensive Guide

May 31st, 2024 By Dimple M K in Data Warehousing, Snowflake

Have you ever wondered how Snowflake’s date and time functions can enhance your organization’s data analysis capabilities? Consider a scenario where you must prepare a financial report by calculating the…

Cloud Migration- Process, Types, and Strategy

February 2nd, 2024 By Boudhayan Ghosh in Data Strategy

Cloud Migration is one of the most crucial areas of the data science ecosystem. As data is growing more rapidly than ever, analyzing the data is becoming even more important…

Snowflake Summit 2025: AI Takes Center Stage – Reasons to Mark Your Calendar

April 30th, 2024 By Radhika Sarraf in Data Warehousing, Snowflake

The Snowflake Summit 2025 is all set to bring together data, AI and tech to discuss the advancements and cutting-edge innovation in data cloud. It is an unmissable opportunity to…

Azure Data Factory ETL Tutorial: Step-by-Step Guide

August 5th, 2024 By Ahmed Shaaban in Data Integration, ETL

With the increase in data size and the diversity of data sources and destinations, companies and data teams are always on the lookout for tools that can simplify creating and…

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…

Amazon Redshift vs PostgreSQL Comparison

March 22nd, 2024 By Vivek Sinha in Data Warehousing, Redshift, Versus

In this post, you will explore the similarities and the differences between the two Data Warehouse choices - Redshift Vs Postgres, specifically in terms of factors that are critical to…

9 AI Trends That Will Revolutionize Data Science

March 15th, 2024 By Shane Barker in Data Strategy

Shane Barker is a digital marketing consultant who specializes in influencer marketing, content marketing, and SEO. He is also the co-founder and CEO of Content Solutions, a digital marketing agency.…

Snowflake Describe Table Command 101: Syntax & Usage Simplified

May 24th, 2024 By Veeresh Biradar in Data Warehousing, Snowflake

The ever-growing demand for Efficient Data Handling & Processing is on a new high. Due to the Limitations of On-Premise Data Storage & Analytics Tools, Businesses are now adopting Cloud…

What Is Data Integration in Data Mining: Approaches and Methods Explained

May 17th, 2024 By Sarthak Bhardwaj in Data Integration

In today's world, businesses focus on gathering more data to extract valuable insights from and optimize business processes. In short, this helps businesses collect data efficiently, extract insights, and understand…

What are the 7 Critical Differences between Amazon Redshift vs Elasticsearch

May 3rd, 2024 By Rohit Guntuku in Data Warehousing, Redshift, Versus

Amazon Redshift is a Data Warehousing service. Redshift is based on the Amazon Web Services (AWS) architecture and provides great performance to its consumers. It's a columnar database, thus it's…

Utilize DATE_TRUNC Snowflake Function to Manipulate & Analyze Data

May 31st, 2024 By Veeresh Biradar in Data Warehousing, Snowflake

Date and time play crucial roles in time-series analysis, as they are the key components that decide the trends and patterns that the data follows. Truncating them to a specific…