Recent Articles

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…

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: Compare the Top ELT Tools in 2026

September 13th, 2024 By Arav Manaktala in Data Integration, Platform

Key Takeaways Hevo: Fully managed, no-code ELT platform that makes data movement simple, scalable, reliable, and transparent. Ideal for teams seeking effortless, real-time data integration with transparent pricing and 24/7…

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,…

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…

Building a Successful Data Migration Team

September 6th, 2024 By Khawaja Abdul Ahad in Data Engineering

Did you know that Netflix is one of the biggest clients for AWS? They did not just push a button when they shifted their entire data infrastructure. It took them…

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…

Comprehensive Guide to Modern Data Warehouse in 2025

September 5th, 2024 By Sakshi Kulshreshtha in Data Warehousing

A data warehouse is a centralized system that stores, integrates, and analyzes large volumes of structured data from various sources. It is predicted that more than 200 zettabytes of data…

Alteryx vs Matillion: A Side-by-Side Detailed Comparison

September 5th, 2024 By Suraj Poddar in Data Integration, Data Pipeline

Data is the new currency in today's world, helping industries make decisions and innovations. To use data to its full potential, organizations require powerful tools to manage, transform, and analyze…