Popular Articles

What is AWS Glue?: 4 Comprehensive Aspects

April 5th, 2024 By Anmol Baunthiyal in AWS, Data Strategy

With the vast sea of information that is growing every day, most organizations are looking toward Cloud-based solutions to collect, store and work on their data. Furthermore, the ETL process…

Data Migration Challenges and Solutions for 2025

August 28th, 2024 By Sakshi Kulshreshtha in Best Practice, Data Strategy

In 2020, the world contained 44 zettabytes of data. It has been projected that by 2025, global cloud storage will hold more than 200 zettabytes of data, with 463 exabytes…

Snowflake Storage Integration: The Only Guide You Need for Configuring

June 7th, 2024 By Chirag Agarwal in Data Warehousing, Snowflake

What are the methods you follow for storing your data from a staging area to Snowflake? Snowflake storage integration is a way which allows easy authentication without directly giving credentials…

10 Best Azure ETL Tools to Consider in 2025

September 27th, 2024 By Kamlesh in Data Engineering

I found it tough to manage data from different sources, keep my pipelines running smoothly, and handle growing amounts of information without constant headaches. That’s when I turned to Azure…

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…

Fivetran vs. Matillion: Who Wins As The Right Data Integration Tool?

April 23rd, 2025 By Arun Chaudhary in Platform, Product

Data silos, messy formats, poor data quality, and information stuck in different systems can make it hard for your organization to get a clear view of what’s really going on.…

GCP Storage Buckets List: Efficient Data Organizing Strategy

April 20th, 2024 By Saloni Agarwal in Data Strategy

Google has always pioneered the development of large and scalable infrastructure to support its search engine and other products. Its vast network servers have enabled us to store and manage…

ETL Batch Processing Made Easy: A Comprehensive 101 Guide

April 26th, 2024 By Preetipadma Khandavilli in Data Integration, ETL

Today, companies have access to a broad spectrum of big data gathered from various sources. These sources include web crawlers, sensors, server logs, marketing tools, spreadsheets, and APIs. To gain…

Snowflake Compute Cost Breakdown: How to Manage and Optimize Your Expenses

June 14th, 2024 By Sarad Mohanan in Data Warehousing, Snowflake

Snowflake is a cloud-based platform that manages large data workloads in virtual warehouses. It is known for its unique architecture and pricing model. Snowflake charges you for the compute resources,…

Mastering ETL Security: Essential Challenges and Expert Solutions

April 12th, 2024 By Anaswara Ramachandran in Data Integration, ETL

According to Expert Market Research, the global big data & Analytics market is expected to grow at a CAGR of 10%. This report also forecasts that the global investment in…

6 Best Snowflake Analytics Tools: A Complete Guide

April 26th, 2024 By Talha in Data Integration, Snowflake

Carrying out an insightful data analysis for your business requires having the ability to not only store or access data, but also to transform it into a form, that can…

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…

BigQuery to SQL Server: 3 Methods to Enhance Data Migration

March 29th, 2024 By Saloni Agarwal in BigQuery, Data Integration, SQL Server

Key Takeaways Migrating data from BigQuery to SQL Server can be done in three ways: Method 1: Using Hevo Configure BigQuery as your source in Hevo with project, dataset, and…

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…

Google Analytics to Amazon Aurora: 2 Easy Ways to Integrate Data

August 17th, 2023 By Tejaswini Kasture in Data Integration

Google Analytics is a popular web analytics platform that provides both real time analytics. However, replicating data from Google Analytics to Amazon Aurora offers several advantages. First, it enables you…

What Is ELT? A Primer on Data Integration Success

April 26th, 2024 By Divyansh Sharma in Data Integration, ETL

Almost all companies today are "data rich." They have access to exponentially more data than ever before. But they are still information poor, struggling to make sense of it all.…

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…

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…

Enhance Database Management with Schema Change Snowflake

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

Schema management is crucial for ensuring data quality and consistency in a database. One prominent feature it enables is version control and change management. Version control helps maintain the history…