Recent Articles

Marketing Data Warehouse: An Easy Guide and Everything You Need to Know

December 6th, 2024 By Rajashree Bhat in Data Warehousing

We know just how hard it is to run your marketing data. The variety of campaigns running through platforms, such as Google Ads, Facebook, and HubSpot, among others, gives the…

Matillion vs Airflow: Which one to choose in 2025?

December 6th, 2024 By Arjun Narayan in Data Integration, ETL

Matillion is a cloud-based ETL tool known for its user-friendly, low-code interface. It’s great for teams that want to get pipelines up and running quickly without heavy coding. It also…

Databricks DATEDIFF Function

November 29th, 2024 By Nidhi Bansal in Data Warehousing

Databricks is a well-known cloud-based data engineering, processing, and analytics platform. One of its key functions is DATEDIFF(date_diff()) used by data professionals widely. The DATEDIFF function in Databricks is very…

Data Analytics vs Data Analysis: How to Choose the Right Approach for Insight-Driven Decisions

November 29th, 2024 By Khawaja Abdul Ahad in Data Strategy

Data is everywhere. We make huge amounts of data every day from our social media interactions to the things we buy online. According to expert predictions, data will globally surpass…

Matillion vs Talend: Comparing the Top Two Data Ingestion Tools 

November 29th, 2024 By Kamlesh in Data Integration, ETL

What would you pick—speed or flexibility? Selecting Matillion over Talend, or vice versa, is really about what matters most to your team and your data environment. If you want something…

Airbyte vs Stitch: Detailed Comparison for 2025

November 29th, 2024 By Roopa Madhuri G in Data Integration, ETL

Picking between Airbyte and Stitch is a classic data team dilemma: do you want ultimate flexibility or pure simplicity? Airbyte is all about giving you control. It’s open-source, has a…

Do You Really Need Hevo Alternatives? There Are None. Reasons Why The Best Data Engineers Love Hevo!

November 29th, 2024 By Kamlesh in Platform, Product

When searching for a reliable data integration platform, many options might cross your mind. However, Hevo Data stands out as a no-code, fully managed solution. Recognized in G2's Fall 2021…

BigQuery Partitioning vs Clustering: Make the Right Choice for Your Workloads

November 22nd, 2024 By Hafiz Umer Draz in BigQuery, Data Warehousing

In the modern field of data analytics, proper data management is the only way to maximize performance while minimizing costs. Google BigQuery, one of the leading cloud-based data warehouses, shows…

Understanding Databricks Architecture

November 22nd, 2024 By Gagandeep Kaur in Data Warehousing

Do you have a fascination with Databricks architecture but you get lost with all the terms being used out there? Let’s break it down simply! If you are just getting…

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,…

Choosing Between Star Schema and Snowflake Schema: A Comprehensive Guide

November 21st, 2024 By Neha Sharma in Data Strategy

In today’s data-driven world, choosing the right schema to store data is equally important as collecting it. Schema design plays a crucial role in the performance, scalability, and usability of…

Autoscaling in Databricks: Easy Step-by-Step Explanation

November 21st, 2024 By Khawaja Abdul Ahad in Data Warehousing

According to The Gartner Group, poor data quality drains a company on average $12.9 million annually in resources and expenses for operational inefficiencies, missed sales and unrealized new opportunities. Many…

What is Databricks Medallion Architecture? A Deep Dive into Its Why and How

November 15th, 2024 By Sarang Ravate in Data Warehousing

This is an essential inflection point thanks to Medallion Architecture in enterprise data management, which was introduced by Databricks and adopted by Microsoft in their Fabric platform release. This architecture…

What are Databricks Materialized Views and How to Boost Query Performance Using Them?

November 15th, 2024 By Christina Rini in Data Engineering

Accessing and performing large volumes of data is crucial in data analytics and engineering. As datasets grow larger and more complex, executing queries repeatedly can become a bottleneck, slowing down…

Introduction to Databricks Lakehouse Monitoring

November 14th, 2024 By Maria Asghar in Data Warehousing

Databricks Lakehouse is an open data management architecture which combines the scalability, cost-effectiveness, and flexibility of data lakes with the data management and ACID transactions of data warehouses. Databricks Lakehouse…

Streamlining Data Management with Deletion Vectors Databricks

November 14th, 2024 By Muhammad Usman Ghani Khan in Data Warehousing

Managing today’s flood of data is not a small task. Every organization is balancing a constant stream of new information with the need to meet regulatory standards, keep data clean…

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…

Top 10 Databricks Competitors: Best Alternatives for 2025

November 11th, 2024 By Rajashree Bhat in Data Warehousing

Databricks is a platform that provides powerful analytics and flexibility, making it a top choice for data-driven teams. But as data needs grow more complex, exploring alternatives and finding tools…

How to Use MySQL ALTER TABLE command?

November 11th, 2024 By Christina Rini in Data Engineering

MySQL is the most popular open-source relational database management system (RDBMS) developed by Oracle Corporation, and it has become a staple for developers and data professionals.  It is very important…

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…