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, Uncategorized 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…
Fivetran vs ADF: Key Differences, Features and Use Cases Compared November 15th, 2024 By Arjun Narayan in Platform, Product Fivetran and Azure Data Factory, also known as ADF, are two popular names when it comes to data integration. Both powerful platforms are used for moving data sources to your…
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…
Top 10 PostgreSQL Extensions [With Code + Example] November 6th, 2024 By Kamlesh in Database Management System, PostgreSQL PostgreSQL is very powerful and flexible, making it adaptable to significant functionality. PostgreSQL extensions help extend the core capabilities, and we can use databases to scale and customize it for…
How to Use Snowflake Create View November 1st, 2024 By Ruhee Shrestha in Data Warehousing, Snowflake Creating views based on your queries is crucial for giving users access to data as if it were a table while also allowing them to perform complex operations. By encapsulating…
How to Integrate DynamoDB to S3 Within 1 Minute? October 28th, 2024 By Kamlesh in AWS, Data Integration Interactive Demo to Connect DynamoDB to S3 Using Hevo Steps to Connect DynamoDB to S3 Easily Step 1: Configure DynamoDB as your source. Click on the ‘Create Pipeline’ button. Search…
How to Connect Facebook Ads to Redshift within 1 Minute? October 28th, 2024 By Sourav Choudhary in Data Integration, Redshift Building a Data Pipeline to Connect Facebook Ads to Redshift Using Hevo Steps to Build the Pipeline for Facebook Ads to Redshift Step 1: Configure Facebook Ads as your Source.…
How to Sync Data from Zendesk to Redshift Within 1 Minute? October 28th, 2024 By Winifred Butler in Data Integration, Redshift Interactive Demo to Connect Zendesk to Redshift Steps to Connect Zendesk to Redshift Easily Step 1: Configure Zendesk as your source. Click on the ‘Create Pipeline’ button. Search for ‘Zendesk’…
How to Connect Freshdesk to Redshift Within 1 Minute? October 28th, 2024 By Eva Brooke in Data Integration, Redshift Migrating data from Freshdesk to BigQuery is essential for teams that want deeper insights into their customer support operations. I’ve seen firsthand how handling large volumes of support tickets and…