Popular Articles

Airflow vs NiFi: Choosing the Right Tool

August 23rd, 2024 By Kamlesh in Data Engineering

In the modern, data-driven world, efficient workflow automation and data pipeline orchestration are crucial for any organization connected to complicated data systems. Whether a data engineer, IT professional, or decision-maker…

What is SQL Server Change Tracking and How to Implement It?

May 17th, 2024 By Dimple M K in Database Management System, SQL Server

If you're managing a SQL Server database and need to keep track of changes without the complexity of a full audit trail, SQL Server Change Tracking is a lightweight and…

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…

What is Snowflake Horizon? Key Features, Benefits & Use-Cases

July 15th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

Has it ever occurred to you that the volume of data your business processes daily is too overwhelming? You are not alone. So many companies need help in managing and…

Airbyte vs Airflow: Which Tool Should You Choose in 2025?

August 22nd, 2024 By Rashmi Joshi in Platform, Product

In the world of data engineering, the choice of tools can significantly impact the efficiency and scalability of your data workflows. Two popular options are Airbyte and Apache Airflow. Both…

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…

Amazon Redshift vs Druid: 8 Critical Differences

April 12th, 2024 By Veeresh Biradar in Data Warehousing, Redshift, Versus

More data has been created in the past two years than was ever created in human history. With the exploding volumes of data, people are now looking for data warehouse…

How to Use Snowflake TRUNCATE TABLE: Easy Step-by-Step Guide(with code)

May 31st, 2024 By Skand Agrawal in Data Warehousing, Snowflake

Snowflake offers a Cloud-based, configurable Data Warehouse platform with a focus on providing robust solutions to enterprise problems as well as offering a remarkable ecosystem of work collaborations, BI, Analytical…

Alooma vs Fivetran vs Hevo: A Comprehensive Review

April 26th, 2024 By Nikhil Annadanam in Platform, Product

Companies today have structured and unstructured data in multiple SaaS applications, databases, etc. Moving their data into a data warehouse/ data lake for analytics can be a challenge. Many companies…

Amazon Redshift Performance Tuning: 4 Best Techniques

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

Amazon Redshift is a data warehousing system that enables rapid, simple, and cost-effective analysis of large datasets from data warehouses and data lakes. It can give performance levels up to…

Snowflake Arctic: Getting Started with Snowflake’s new LLM

July 5th, 2024 By Rashmi Joshi in Data Warehousing, Snowflake

Snowflake launched its new open-source, “state-of-the-art ” large language model, Snowflake Arctic, in April 2024. The data cloud company announced that the primary idea behind this innovation was to simplify…

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…

Airflow Kubernetes Configuration 101: 5 Critical Steps

June 14th, 2024 By Suraj Poddar in Data Strategy

Airflow is a Task Automation tool. It helps organizations to schedule their tasks so that they are executed when the right time comes. This relieves the employees from doing tasks…

5 Best Cloud Data Warehouses (Based on G2 Ratings)

August 30th, 2024 By Suraj Poddar in BigQuery, Data Warehousing, Redshift, Snowflake

In today’s cloud-rich landscape, businesses are turning to data warehouses to store, manage, and analyze their data. As of 2024, over 65k companies use cloud data warehouses to enhance their…

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…

A Comprehensive Guide to Building Snowflake Data Mesh

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

Data mesh is a novel approach to framing data architecture in a decentralized manner. It enables individual domain teams within your organization to manage and control all tasks related to…

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…

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…

Azure MySQL to Redshift: Optimizing Data Warehousing Capabilities

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

Imagine you are managing a rapidly growing e-commerce platform. That platform generates a large amount of data related to transactions, customer interactions, product details, feedback, and more. Azure Database for…

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…