Popular Articles

Snowflake Data Lakehouse: What is it & How to Build One?

June 26th, 2024 By Sarad Mohanan in Data Warehousing, Snowflake

You can use data warehouses or data lakes as a repository for data management and analytics tasks. Both of these solutions have their advantages and disadvantages. A data warehouse is…

Top 5 Kafka Tools for Data Engineers in 2026

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,…

What is Databricks Medallion Architecture? A Deep Dive into Its Why and How

November 15th, 2024 By Sarang Ravate in Data Warehousing

This is an essential inflection point thanks to Medallion Architecture in enterprise data management, which was introduced by Databricks and adopted by Microsoft in their Fabric platform release. This architecture…

A Quick Understanding of AWS DMS Architecture

August 14th, 2024 By Chirag Agarwal in AWS, Data Strategy

If you've landed on this blog, chances are you're curious about AWS Database Migration Service (DMS) and how it can help you move your databases to the cloud. You’re in…

Snowflake Virtual Warehouse Simplified: A Comprehensive Guide 101

May 24th, 2024 By Rakesh Tiwari in Data Warehousing, Snowflake

For decades, traditional on-premises data Warehouses have been tightly coupled with Data Storage and Computing, making them difficult to scale. However, today's businesses must store and analyze massive amounts of…

Cloud Data Analytics: Workings, Benefits, Best Practices, Tools

December 29th, 2023 By Jalaj Jain in Data Strategy

Globally, an increasing number of data-driven organizations are using cloud platforms to efficiently utilize their data assets. As per recent data, over 80% of organizations use cloud environments to perform…

MySQL Query Optimization: Techniques for Speeding Up Your Database Explained

December 20th, 2024 By Maria Asghar in Best Practice, Data Strategy, Database Management System, MySQL

MySQL is one of the most popular open-source relational database management systems (RDBMS)  used for various applications. As databases grow in size and complexity, it impacts overall performance of application…

How to Setup Kafka to Databricks Integration Within Minutes?

March 29th, 2024 By Sony Saji in Data Integration, Kafka

Easily move your data from Kafka To Databricks 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 the…

A Step-by-Step Guide To Snowflake Data Visualization

June 14th, 2024 By Satyam Agrawal in Data Warehousing, Snowflake

How do you visualize your Snowflake data? Snowsight, the visual interface of Snowflake, allows two different easy ways to visualize your data within Snowflake- by using charts or dashboards. If…

Top 10 PostgreSQL Extensions [With Code + Example]

November 6th, 2024 By Kamlesh in Database Management System, PostgreSQL

PostgreSQL is very powerful and flexible, making it adaptable to significant functionality. PostgreSQL extensions help extend the core capabilities, and we can use databases to scale and customize it for…

How to Build RAG Applications Using Snowflake Cortex?

July 30th, 2024 By Srujana Maddula in Data Warehousing, Snowflake

GPT has become a go-to search engine for many. We often use it instead of Google to get a quick solution for any query. Given its popularity, why don’t you…

Airbyte vs Stitch: Detailed Comparison for 2025

November 29th, 2024 By Roopa Madhuri G in Data Integration, ETL

Picking between Airbyte and Stitch is a classic data team dilemma: do you want ultimate flexibility or pure simplicity? Airbyte is all about giving you control. It’s open-source, has a…

Getting Started with AWS RDS CDC

September 12th, 2024 By Sarang Ravate in Change Data Capture CDC

If you have decided to start your journey with cloud databases, you probably have encountered AWS RDS – Amazon Web Services Relational Database Service, and CDC – Change Data Capture.…

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…

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…

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…

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…

8 Powerful Benefits of Change Data Capture

June 20th, 2024 By Manjiri Gaikwad in Change Data Capture CDC

As data grows at a massive scale, industries are adopting new ways to manage data effectively. One of the most popular techniques for managing data is CDC. The benefits of…

AWS Glue Workflow Made Easy: How to Create & Build in 3 Steps

June 19th, 2024 By Yash Arora in AWS, Data Strategy

With the ability to integrate data faster and at scale, AWS provides organizations with product offerings that are serverless and fully managed — indeed, very helpful for organizations that aim…

Tableau Semantic Layer: A Detailed Guide

August 21st, 2024 By Radhika Gholap in Data Engineering

Today’s data era is all about collecting data from multiple sources and analyzing it to extract valuable business insights. However, with the vast amounts of data generated daily, general SQL…