Popular Articles

Building a Data Engineering Team: Strategies and Best Practices

August 22nd, 2024 By Usama Hameed in Data Engineering

Having a robust data engineering team is crucial for organizations to extract maximum value from their data assets. A well-structured data engineering team can streamline data pipelines, ensure data quality,…

Matillion vs dbt: 5 Key Differences

September 1st, 2024 By Rashmi Joshi in Data Strategy

In today's world of big data, it's important for companies to quickly and effectively change and analyze large data sets to get useful information. Businesses need tools that help them…

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…

Apache Iceberg Table Format: Comprehensive Guide

July 5th, 2024 By Radhika Gholap in Data Strategy

According to the World Economic Forum*, by 2025, the world is expected to generate 463 exabytes of data each day. Here are some key daily statistics: 500 million tweets are…

5 Best Cloud Data Warehouses (Based on G2 Ratings)

August 30th, 2024 By Suraj Poddar in BigQuery, Data Warehousing, Redshift, Snowflake

In today’s cloud-rich landscape, businesses are turning to data warehouses to store, manage, and analyze their data. As of 2024, over 65k companies use cloud data warehouses to enhance their…

Minimizing AWS Glue Costs: A Comprehensive Guide for 2025

August 14th, 2024 By Radhika Gholap in AWS, Data Strategy

AWS Glue is a powerful ETL service widely used for data integration and transformation. However, its pricing structure can sometimes be complex and costly, posing budgeting and cost management challenges.…

Mastering Snowflake LLM to Build High-Performance AI Solutions

June 14th, 2024 By Nitin Birajdar in Data Warehousing, Snowflake

A large language model (LLM) is a computational model based on machine learning that can identify and generate text.  It functions on deep learning, a type of machine learning method…

Amazon Redshift Architecture: 8 Important Components

March 29th, 2024 By Sourabh Agarwal in Data Warehousing, Redshift

Amazon Redshift is a fully managed highly scalable Data Warehouse service in AWS. You can start using Redshift with even a few GigaBytes of data and scale it to PetaBytes…

Snowflake Features: 8 Comprehensive Aspects

April 5th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

Snowflake is a Cloud-Based Data Warehouse created in 2012 by three Data Warehousing professionals. Six years later, the firm was valued at $3.5 billion after receiving a $450 million venture…

Top 5 Effective Enterprise Data Visualization Tools

May 10th, 2024 By Suraj Kumar Joshi in Data Visualization

Data visualization has become one of the most critical skills companies require to generate insightful reports. Visualizing data with the help of a programming language can take a lot of…

Snowflake On Premise Comparisons: 10 Key Critical Differences

May 3rd, 2024 By Dimple M K in Data Warehousing, Snowflake, Versus

This blog is intended for IT decision-makers or data architects who are torn between using Snowflake or an on-premises data warehouse for their BI needs. Data consumption and analytics are…

How to Migrate NetSuite Data to SQL Server: Step-by-Step

March 29th, 2024 By Suraj Kumar Joshi in Data Integration, SQL Server

Quick Takeaway NetSuite to SQL Server integration enables seamless data flow between your ERP and database, unlocking deeper insights and advanced analytics. Few methods of integration are : Method 1:…

A Guide to Streamline Azure Data Factory Snowflake Integration

June 14th, 2024 By Nitin Birajdar in Data Integration, Snowflake

Azure Data Factory (ADF) is a Microsoft-managed data integration solution that facilitates the creation of cloud-based data workflows. It is a fully managed service that can be used to build…

Mastering Data Ingestion in Your Apache Iceberg Lakehouse

July 17th, 2024 By Raju Mandal in Data Integration

Every data-centric organization uses a data lake, warehouse, or both data architectures to meet its data needs. Data Lakes bring flexibility and accessibility, whereas warehouses bring structure and performance to…

Using PostgreSQL as a Source with AWS DMS: A Step-by-Step Guide

June 14th, 2024 By Disha Chopra in AWS, Data Integration, PostgreSQL

Based on the requirements of different applications, organizations store data in several databases. These databases not only vary in terms of types but also can be hosted in either cloud…

Azure Data Factory ETL Tutorial: Step-by-Step Guide

August 5th, 2024 By Ahmed Shaaban in Data Integration, ETL

With the increase in data size and the diversity of data sources and destinations, companies and data teams are always on the lookout for tools that can simplify creating and…

Estimates for Data Warehouse Cost: What You’ll Really Spend on?

October 3rd, 2024 By Srujana Maddula in Data Warehousing

Data warehouses have transformed how companies store and manage data. By centralizing data into a single repository, overall data accessibility and quality improve a lot. A data warehouse is not…

Fivetran vs Airbyte: Comparison of Leading Data Integration Tools

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

Key Takeaways When it comes to data integration, the choice is clear-cut based on what matters most to your team: Choose Fivetran if you value your time over everything else:…

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…

Manage Date/Time Values Using EXTRACT From Oracle Function

June 26th, 2024 By Dimple M K in Data Engineering

Effective data management requires accurate data capture, storage, processing, and analysis. Date and time values are critical in organizing and filtering data, providing a foundation for efficient data processing. Oracle’s…