Popular Articles

What is ETL Architecture? [Diagram, Steps, Challenges and Best Practices]

January 27th, 2025 By Khawaja Abdul Ahad in Data Integration, ETL

The average organization generates 2.5 quintillion bytes1 of data daily. Businesses globally prioritize data management due to its exponential growth. How can organizations extract, convert, and load (ETL) meaningful and…

Swiftly Migrating GCP MySQL to BigQuery: 2 Efficient Methods

May 10th, 2024 By Sony Saji in BigQuery, Data Integration, MySQL

Organizations often manage operational data using open-source databases like MySQL, frequently deployed on local machines. To enhance data management and security, many organizations prefer deploying these databases on cloud providers…

Optimizing Data Warehouse Cost using Apache Iceberg

July 30th, 2024 By Raju Mandal in Data Warehousing

Data warehouses bring phenomenal results from well-informed, data-driven decision-making for an organization. There were times when only companies with large capital, and substantial IT infrastructures invested time and effort, let…

Dealing with Snowflake Unstructured Data Made Easy

May 10th, 2024 By Sarthak Bhardwaj in Data Warehousing, Snowflake

Structured data is easier to analyze as it can be stored in standard relational database systems. However, businesses that solely rely on structured data are less likely to outshine their…

GCP Oracle Migration: Optimize your Workload

June 20th, 2024 By Sarthak Bhardwaj in Data Integration

Oracle is widely used to store, manage, and perform complex operations on data, making it ideal for business-critical operations. You can efficiently scale your business data by hosting Oracle services…

Azure Data Factory Activities: Comprehensive Aspects

June 19th, 2024 By Arsalan Mohammed in Data Strategy

Connecting traditional data warehouses with modern AI and machine learning platforms is essential in today's data-driven world. Data pipelines are crucial in managing and controlling the vast amounts of data…

8 Best Redshift ETL Tools in 2025: Key Features and Pricing Explained

April 26th, 2024 By Radhika Sarraf in Data Integration, Redshift

Data migration between different platforms is critical to consider when generating multiple organizational strategies. Amazon Redshift is a serverless, fully managed leading data warehouse in the market, and many organizations…

Amazon Redshift Lambda Function: 4 Easy Steps to Load Data

May 31st, 2024 By Veeresh Biradar in Data Warehousing, Redshift

ou’ve paid for your first Amazon Redshift Subscription. Now, you want to load data into your Amazon Redshift account. While there are many ways to do this, using Amazon Lambda…

Snowflake vs Redshift: 6 Critical Differences

April 12th, 2024 By Sarthak Bhardwaj in Data Warehousing, Redshift, Snowflake, Versus

Huge performance-boosting opportunities await those who choose the optimal data warehouse for their business. Identifying custom data points that steer your organizations' successful outcomes is crucial. Decision-making is optimized through…

Debezium Serialization with Avro and Apicurio Registry Simplified: Everything You Need to Know

June 20th, 2024 By Manjiri Gaikwad in Data Strategy

Organizations use Kafka and Debezium to track real-time changes in databases and stream them to different applications. But often, due to a colossal amount of messages in Kafka topics, it…

Snowpipe Alternatives You Should Consider for Your Data Needs

July 10th, 2024 By Arjun Narayan in Data Integration, Snowflake

While you can use Snowpipe for straightforward and low-complexity data ingestion into Snowflake, Snowpipe alternatives, like Kafka, Spark, and COPY, provide enhanced capabilities for real-time data processing, scalability, flexibility in…

dbt vs Airflow: A Comprehensive Guide

August 21st, 2024 By Muskan Kesharwani in Data Engineering

Data has become the foundation of any successful business. The ability to efficiently extract, transform, and load data for analysis is crucial for making informed data-driven decisions. Therefore, the tools…

Tableau Semantic Layer: A Detailed Guide

August 21st, 2024 By Radhika Gholap in Data Engineering

Today’s data era is all about collecting data from multiple sources and analyzing it to extract valuable business insights. However, with the vast amounts of data generated daily, general SQL…

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,…

dbt Redshift: Set Up & 3 Best Use Cases Explained

June 20th, 2024 By Anaswara Ramachandran in Data Warehousing, Redshift

ChatGPT has transformed the way businesses look at AI to support their functions. It has started showing its power by automating customer support and improving customer experience. dbt (data build…

What is SQL Server Change Tracking and How to Implement It?

May 17th, 2024 By Dimple M K in Database Management System, SQL Server

If you're managing a SQL Server database and need to keep track of changes without the complexity of a full audit trail, SQL Server Change Tracking is a lightweight and…

Amazon Redshift vs Netezza: 4 Critical Differences

April 12th, 2024 By Dimple M K in Data Warehousing, Redshift, Versus

In today’s world where Analytics is the backbone of the progress of any business, there are many established technology players who are providing equally good solutions for Data Warehousing. In…

Data Migration from AWS RDS Oracle to Redshift: 2 Efficient Methods

May 3rd, 2024 By Sony Saji in AWS, Data Integration, Redshift

Cloud solutions like AWS RDS for Oracle offer improved accessibility and robust security features. However, as data volumes grow, analyzing data on the AWS RDS Oracle database through multiple SQL…

Apache Druid vs BigQuery: 18 Key Differences

May 10th, 2024 By Dimple M K in BigQuery, Data Warehousing, Versus

Enterprises need a Data Warehouse to examine data over time and deliver actionable business intelligence. The need to efficiently pull together data from a broad array of ever-evolving data sources…

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…