Popular Articles

BigQuery Cached Query Results 101: Usage Made Easy

June 14th, 2024 By Dimple M K in BigQuery, Data Warehousing

Most sectors have shifted their focus online, which has led to massive data generated from sensors to customer behavior metrics. The outcome? There is an overwhelming need for Data Analytics…

How to Set Up BigQuery JDBC Connection – 4 Easy Steps

May 17th, 2024 By Dimple M K in BigQuery, Data Warehousing

Organizations use Google BigQuery Data Warehouse for analytics and querying large, complex datasets. BigQuery is based on Dremel architecture that divides the query execution into slots. When multiple users are…

Rivery vs Fivetran: A Comprehensive Comparison for 2026

April 23rd, 2025 By Roopa Madhuri G in Platform, Product

Although Rivery and Fivetran often emerge as top players in the modern data integration space, they do so for very different reasons. Fivetran is known for its plug-and-play simplicity and…

Amazon Redshift Data Sharing Simplified 101

May 17th, 2024 By Satyam Agrawal in Data Warehousing, Redshift

Team members of every organization often share data among themselves to promote unified decision-making about products and consumers. With traditional Data Warehouses, Data Sharing can be stressful and time-consuming. Users…

How to Connect BigQuery to MySQL Within Minutes?

March 22nd, 2024 By Suchitra Shenoy in BigQuery, Data Integration, MySQL

Key Takeaways Connecting BigQuery to MySQL can be done in two ways: Method 1: Using Hevo DataStep 1: Configure BigQuery as the source and MySQL as a destination in Hevo’s…

Enhance Data Integrity With Snowflake Date Format

June 7th, 2024 By Sarad Mohanan in Data Warehousing, Snowflake

Data and time information are essential for accurately capturing, organizing, and processing data for effective data management. These functions help you extract information from the storage system in a logical…

Google BigQuery vs Athena: 7 Critical Differences

May 10th, 2024 By Nitin Birajdar in BigQuery, Data Warehousing, Versus

Today, every organization is moving to serverless cloud offerings to solve many data-related challenges. The primary issue these companies face occurs while trying to manage vast data repositories. In such…

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 Warehouse vs Database: Deep Understanding

June 26th, 2024 By Sarthak Bhardwaj in Data Warehousing, Snowflake

Many organizations often ponder if Snowflake, a modern data analytics platform, is a data warehouse or database. Data warehouse and database are two key components of Snowflake’s architecture. Both play…

Batch Processing vs Stream Processing: Key Differences Explained

May 3rd, 2024 By Harshitha Balasankula in Data Strategy, Versus

Data Processing is the collection, manipulation, and processing of collected data for the intended use. It is a computer-assisted technique that involves retrieving, transforming, or classifying data. Computerized Batch Processing…

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…

Snowflake TO_DATE: Level-Up your Data Transformation

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

Date and time are important data types for analyzing trends and patterns during data analysis. They also help manage deadlines and inventories by comparing changes in resources over a period…

How Temporary Table in MS SQL Enhances the Query Performance

July 2nd, 2024 By Skand Agrawal in Database Management System, SQL Server

Large datasets often involve complex calculations to generate accurate insights and reports. However, repeatedly running queries on the entire dataset can significantly slow down data processing operations. An effective strategy…

Data Integration vs Data Migration: 6 Critical Differences Explained

April 26th, 2024 By Manisha Jena in Data Integration

Understanding the differences data integration vs data migration is crucial for choosing the right approach for your specific needs. This will also help ensure that you are using the most…

AWS Aurora vs Snowflake: 5 Critical Differences

May 10th, 2024 By Manisha Jena in AWS, Data Strategy, Versus

Nowadays, with ever-increasing data, storage and analysis of large volumes of data have become basic foundations of any organization. While focusing on storage and analysis, which two concepts come to…

Understanding Snowflake UI: An Easy Guide

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

This article talks about Snowflake UI and provides information about its Database, Warehouse, Worksheet, and History pages. In addition to that, It also talks about other UI help and user…

What is Fivetran? And Why Hevo Might Be the Better Pick for You

April 23rd, 2025 By Khawaja Abdul Ahad in Data Integration

“Data scientists spend 80% of their time cleaning and organizing data—and only 20% actually analyzing it.” - Forbes It’s a painful truth. You hire a data team to uncover insights,…

AWS Glue Architecture: Components, Working, and Alternatives

August 30th, 2024 By Skand Agrawal in AWS, Data Strategy

AWS Glue is a fully managed serverless ETL service that simplifies preparing and loading data for analytics. But how does it work? To answer that question, we need to understand…

Snowflake Data Mart – How to Build One?

June 26th, 2024 By Skand Agrawal in Data Warehousing, Snowflake

Your organization may store large volumes of data in a single Snowflake data warehouse. However, extracting data specific to individual departments from the data warehouse can be time-consuming, delaying your…

How to Implement Debezium SMT (Single Message Transformations)?

June 20th, 2024 By Manjiri Gaikwad in Data Strategy

Debezium is an open-source, distributed system that can convert real-time changes of existing databases into event streams so that various applications can consume and respond immediately. Debezium uses connectors like…