Popular Articles

AWS Glue Workflow Made Easy: How to Create & Build in 3 Steps

June 19th, 2024 By Yash Arora in AWS, Data Strategy

With the ability to integrate data faster and at scale, AWS provides organizations with product offerings that are serverless and fully managed — indeed, very helpful for organizations that aim…

What is a Data Stack: Everything You Need To Know

February 2nd, 2024 By Jalaj Jain in Data Strategy

The field of data management is rapidly evolving as the volume and complexities of data continue to grow. In recent years, tools and technologies have revolutionized how organizations deal with…

Aurora MySQL Integration: Maximizing Cost Efficiency with 2 Easy Methods

April 5th, 2024 By Suraj Kumar Joshi in AWS, Data Integration

Managing databases is an essential part of business. It helps you store and retrieve data on the go. With the latest technologies in the market, deciding which database management system…

Airflow vs AWS Glue: Comparison of Leading Data Integration Tools for 2026

August 21st, 2024 By Amit Gupta in Platform, Product

KEY TAKEAWAY Apache Airflow excels at orchestrating and scheduling multi-system workflows with fine-grained control. However, it demands infrastructure management and Python expertise. AWS Glue focuses on serverless ETL inside the…

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…

What is the Difference Between Microsoft Fabric and Databricks?

November 14th, 2024 By Srujana Maddula in Data Warehousing, Versus

Data management has evolved from simple table storage to data lakes and warehouses. With organizations handling data in various formats and storage structures, platforms like Microsoft Fabric and Databricks are…

AWS DMS Postgres: Migration Made Easy

August 6th, 2024 By Skand Agrawal in AWS, Data Integration, PostgreSQL

In today’s dynamic business environment, companies often need to migrate their databases for many different reasons, ranging from scaling their operations to modernizing their technology stack or moving to the…

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…

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…

Building a Data Warehouse: A Step-by-Step Guide for Modern Businesses

November 21st, 2024 By Sarang Ravate in Data Warehousing

Today, information has become one of the most important resources of a company. Businesses are now creating more data in their systems such as customer sales, web traffic and activity,…

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…

Fivetran vs ADF: Key Differences, Features and Use Cases

April 23rd, 2025 By Ujwal Vangapally in Platform, Product

Key Takeaways If you’re comparing Fivetran and Azure Data Factory (ADF), the choice depends on your team’s priorities and technical approach: Fivetran is ideal for teams that want fast, no-code…

Legacy SQL vs Standard SQL: Simplifying BigQuery Dialects

May 10th, 2024 By Sarthak Bhardwaj in BigQuery, Data Warehousing, Versus

In this age of data transformation where organizations are constantly seeking out ways to improve the day to day handling of data being produced and looking for methods to minimize…

What Are ETL Pipelines? Steps, Benefits, and Use Cases

January 27th, 2025 By Radhika Gholap in Data Engineering, Data Pipeline

In today’s fast-paced digital landscape, businesses face the daunting challenge of extracting valuable insights from large amounts of data. The ETL (Extract, Transform, Load) pipeline is the backbone of data…

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…

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…

Informatica vs Matillion: The Top 5 Differences Explained

April 23rd, 2025 By Muskan Kesharwani in Platform, Product

ETL tools are very important to a business dealing with varied data sources. An efficient ETL tool provides the platform to migrate data from multiple sources to a single destination…

Oracle BigQuery Comparison: 11 Critical Differences

May 10th, 2024 By Veeresh Biradar in BigQuery, Data Warehousing, Versus

Before the database system was invented, data was commonly stored in flat files like text files or CSV files. OracleDB was invented very early with a very large market across…

How to Drive Insights by Integrating Salesforce Marketing Cloud to BigQuery?

May 17th, 2024 By Saloni Agarwal in BigQuery, Data Integration

Key Takeaways Extracting marketing data from Salesforce Marketing Cloud to BigQuery analytics platform requires specialized connectors and data transformation processes. Below are two primary approaches for this migration: Method 1:…

Redshift Datepart Function 101: Syntax and Usage Simplified

June 7th, 2024 By Sanchit Agarwal in Data Warehousing, Redshift

With the emergence of Cloud Data Warehouses, enterprises are gradually moving towards Cloud storage leaving behind their On-premise Storage systems. This shift is observed owing to the high computing power…