Recent Articles

Estimates for Data Warehouse Cost: What You’ll Really Spend on?

October 3rd, 2024 By Srujana Maddula in Data Warehousing

Data warehouses have transformed how companies store and manage data. By centralizing data into a single repository, overall data accessibility and quality improve a lot. A data warehouse is not…

Top 7 Reverse ETL Tools Used by Growing Companies in 2025

September 29th, 2024 By Sarad Mohanan in Data Integration, ETL

If you are a data-driven business, then you must know how crucial it is to extract meaningful insights from your data. That's where Reverse ETL comes into play. I'm guessing…

Best REST API ETL Tools for Seamless Data Integration

September 29th, 2024 By Kamlesh in Platform, Product

Today most organizations are of the opinion that public APIs should be tapped into and useful information extracted there from. The same, however triggers a sound ETL solution to handle…

BigQuery Cost Optimization: Simple Strategies to Save Money

September 29th, 2024 By Khawaja Abdul Ahad in BigQuery, Data Warehousing

Have you ever opened the billing section of a BigQuery account and got a shocking surprise? You are not alone. BigQuery is a powerful tool, but this power does not…

8 Best Azure ETL Tools for Data Engineers to Consider in 2025

September 27th, 2024 By Kamlesh in Data Engineering

Moving data efficiently in Azure isn’t just about picking any ETL tool—it’s about finding one that fits my workflow without adding complexity. If you’ve ever dealt with slow data pipelines,…

11 Tips to Strategize your Databricks Cost Optimization

September 26th, 2024 By Neha Sharma in Data Warehousing

Databricks is a popular and powerful unified analytics platform. It helps organizations streamline their data engineering, machine learning, and analytics tasks. As data grows and organizations understand the importance of…

Data Quality Checks in Data Warehouses

September 26th, 2024 By Asimiyu Musa in Data Warehousing

The importance of data quality within an organization cannot be overemphasized as it is a critical aspect of running and maintaining an efficient data warehouse. It tells us how well…

Setting Up CDC with Oracle, Debezium, Kafka Connect [+ A No-Code Solution]

September 20th, 2024 By Raju Mandal in Change Data Capture CDC

Batch Processing is a commonly used data integration method to capture data changes in a database. It runs on a schedule to fetch either incremental or a full data extract.…

Snowflake Monitoring with Snowflake Trail

September 20th, 2024 By Ruhee Shrestha in Data Warehousing, Snowflake

As developers and data engineers build complex applications in Snowflake, monitoring performance is essential for ensuring smooth operation and a positive customer experience. Snowflake operations can be tracked using Snowsight,…

Understanding Modern Data Architecture

September 17th, 2024 By Asimiyu Musa in Data Engineering

Organizations have begun to built data warehouses and lakes to analyze large amounts of data for insights and business reports. Often time they bring data from multiple data silos into…

Hevo vs Matillion: 6 Key Comparisons You Should Know

September 13th, 2024 By Muskan Kesharwani in Platform

Every business based on data-driven insights in the modern data ecosystem needs effective ETL tools. Your choice of ETL will go a long way in affecting the efficiency, speed, and…

Top 5 Kafka Tools for Data Engineers in 2025

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,…

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.…

Data Lake vs Data Warehouse vs Database: Top 5 Differences

September 11th, 2024 By Skand Agrawal in Data Warehousing, Database Management System

1GB of data was referred to as big data in 1999. Nowadays, the term is used for petabytes or even exabytes of data (1024 Petabytes), close to trillions of records…

Hevo Data Achieves Snowflake Ready Technology Validation Certification

September 11th, 2024 By Manan Sachdeva in Platform, Product

We're excited to announce that Hevo Data has achieved the prestigious Snowflake Ready Technology Validation certification! This recognition solidifies our commitment to delivering top-notch data integration solutions that seamlessly work…

Airflow Architecture: 101 on Workflow Orchestration

September 11th, 2024 By Chirag Agarwal in Data Engineering

Data pipelines and workflows have become an inherent part of the advancements in data engineering, machine learning, and DevOps processes. With ever-increasing scales and complexity, the need to orchestrate these…

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…

Understanding Data Warehouse Architecture

September 10th, 2024 By Neha Sharma in Data Warehousing

In today’s competitive era, data is a catalyst fueling businesses to grow faster. As data volumes increase, fetching insights from this data comes with its challenges. Sure, you can use…

Data Mesh vs Data Warehouse: A Guide to Choosing the Right Data Architecture

September 10th, 2024 By Kamlesh in Best Practice, Data Strategy

Nowadays, when it comes to data management, every business has to make one critical decision: whether to use a Data Mesh or a Data Warehouse. Both are strong data management…

Getting Started with Snowflake Materialized Views

September 10th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

In Snowflake, the views are crucial for organizing, selecting, and retrieving data while not copying the data itself. Instead, if performance is a concern—such as in querying large data sets—then…