Popular Articles

Informatica vs Snowflake: Which Tool to Choose?

April 23rd, 2025 By Nitin Birajdar in Data Engineering

Nowadays, businesses heavily rely on data to make informed decisions. Choosing the right tool and data management platform can make or break the business. From small startups to large enterprises,…

Presenting Hevo’s ELT Pipelines with Inflight Transformation

April 20th, 2024 By Team Hevo in Data Integration, ETL

The ELT process has modernized data pipelines, fastened your data loading speed, and facilitated efficient data analysis.  However, there is still a delay in the analysis and the time to…

AWS DocumentDB to Snowflake Migration: 2 Easy Methods

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

Easily move your data from AWS DocumentDB To Snowflake 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 Perform Azure MySQL to Snowflake Data Migration?

May 3rd, 2024 By Saloni Agarwal in Data Integration, MySQL, Snowflake

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

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…

Connecting AWS RDS Oracle to Snowflake: 2 Effective Methods

April 26th, 2024 By Suraj Kumar Joshi in AWS, Data Integration, Snowflake

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

Snowflake Data Pipeline : Move Data Efficiently

June 7th, 2024 By Veeresh Biradar in Data Warehousing, Snowflake

Integrating a database where you store all your in-house information into a cloud warehousing platform like Snowflake can be a beneficial step to consider. Data integration enables you to back…

How are Apache Iceberg Tables Optimizing Data Lake Management?

July 25th, 2024 By Rahul Thakor in Data Engineering

A data lake is a central storage place for an organization's data in its original format. Unlike data warehouses, data lakes can handle all kinds of data, including unstructured and…

Foster Data-Driven Decisions Through Snowflake Data Analytics

June 14th, 2024 By Veeresh Biradar in Data Warehousing, Snowflake

Data analytics helps to derive valuable insights from your raw data. It helps you align your business processes for better outcomes by identifying trends and patterns in the data that…

Launching Hevo for Enterprise Data Excellence

May 8th, 2024 By Team Hevo in Platform, Product

Hevo is enterprise-friendly!  The needs of enterprise data systems are unique. With massive workloads and complex intertwined systems, data teams need partners who can understand their requirements intimately. Hevo can…

Data Pipeline Lambda: A Comprehensive Guide 101

June 7th, 2024 By Skand Agrawal in Data Engineering, Data Pipeline

Organizations today process and transform a large amount of data with ETL (extract, load, and transform) pipelines. But, loading and transforming this big data is time-consuming. However, sometimes, you do…

dbt vs Airflow: A Comprehensive Guide

August 21st, 2024 By Muskan Kesharwani in Data Engineering

Data has become the foundation of any successful business. The ability to efficiently extract, transform, and load data for analysis is crucial for making informed data-driven decisions. Therefore, the tools…

How to Move Data from AWS DocumentDB to BigQuery : 2 Methods

May 17th, 2024 By Skand Agrawal in AWS, BigQuery, Data Integration

Unlock the full potential of your AWS DocumentDB 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…

Databricks SQL: Everything to Know

July 3rd, 2024 By Sarthak Bhardwaj in Data Engineering

Databricks SQL is an efficient platform for querying and analyzing large datasets. Its SQL editor, interactive dashboards, and robust BI tool integration features can help you streamline data exploration and…

Using Emerging Technologies to Address Data Lake Challenges

July 23rd, 2024 By Adedotun Adeboye in Data Engineering

The term “Data Lake” was first introduced by James Dixon in 2010 as a form of storage to cope with evolving data needs due to advancements in IT and IoT.…

A Comprehensive Guide To Build a Successful DataOps Culture in Your Team

April 20th, 2024 By Can Goktug Ozdem in Data Strategy

About the Author Can Goktug Ozdem is the founder of Datrick. He is a data engineer with over nine years of experience in the field. He is a big fan…

Luigi vs Airflow: Which is the Better Tool?

August 21st, 2024 By Chirag Agarwal in Data Strategy

When it comes to orchestrating workflows and managing data pipelines, Luigi and Airflow are two of the most popular tools in the industry. Both have their own unique strengths and…

Preparing Data for BigQuery: A Comprehensive Guide

June 25th, 2024 By Pratik Dwivedi in BigQuery, Data Warehousing

With most companies adopting cloud as their primary choice of storing data, the need for having a powerful and robust cloud data warehouse is on the rise. One of the…

Amazon Redshift vs Cassandra: 9 Comprehensive Differences

May 10th, 2024 By Veeresh Biradar in Data Warehousing, Redshift, Versus

Two heavyweights stand apart, each one suited differently toward the management and analysis of a large volume of data—Amazon Redshift, in the case of AWS cloud-based data warehouse to run…

Querying Snowflake Semi-Structured Data: 2 Critical Aspects

June 7th, 2024 By Dimple M K in Data Warehousing, Snowflake

Data is empowering; it can help transform your business. To enable that transformation, businesses are collecting and storing as much data as they can. But some of this data such…