Popular Articles

AWS Glue Architecture: Components, Working, and Alternatives

August 30th, 2024 By Skand Agrawal in AWS, Data Strategy

AWS Glue is a fully managed serverless ETL service that simplifies preparing and loading data for analytics. But how does it work? To answer that question, we need to understand…

AWS DMS CDC SQL Server: Configure, Consider, Limitations, Alternatives

August 6th, 2024 By Nitin Birajdar in Change Data Capture CDC, SQL Server

We've all been there: your business is growing, and your data is expanding across various systems. You're trying to keep everything in sync, but manual updates and batch processing don't…

How to Code a Data Pipeline Python

September 11th, 2024 By Raju Mandal in Data Engineering, Data Pipeline

A Data Pipeline is an indispensable part of a data engineering workflow. It enables the extraction, transformation, and storage of data across disparate data sources and ensures that the right…

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…

Data Integration vs Data Migration: 6 Critical Differences Explained

April 26th, 2024 By Manisha Jena in Data Integration

Understanding the differences data integration vs data migration is crucial for choosing the right approach for your specific needs. This will also help ensure that you are using the most…

Databricks Query Optimization – A Complete Guide to Increase Performance for 2025

September 1st, 2024 By Sarang Ravate in Data Warehousing

Optimization plays a big role in data engineering since Large scale and complex data requires better management and Querying of data. In platforms like Databricks based on speed and performance,…

How Temporary Table in MS SQL Enhances the Query Performance

July 2nd, 2024 By Skand Agrawal in Database Management System, SQL Server

Large datasets often involve complex calculations to generate accurate insights and reports. However, repeatedly running queries on the entire dataset can significantly slow down data processing operations. An effective strategy…

How to Implement Debezium SMT (Single Message Transformations)?

June 20th, 2024 By Manjiri Gaikwad in Data Strategy

Debezium is an open-source, distributed system that can convert real-time changes of existing databases into event streams so that various applications can consume and respond immediately. Debezium uses connectors like…

Snowflake Current Date: Efficient Date-Based Function

June 7th, 2024 By Anaswara Ramachandran in Data Warehousing, Snowflake

Date and time functions are crucial when extracting information from large datasets. Imagine a situation where you have to make marketing decisions based on seasonal trends and product performance. You…

Amazon Redshift vs SQL Server: Top 7 Unique Differences Explained

May 3rd, 2024 By Satyam Agrawal in Data Warehousing, Redshift, Versus

Redshift is a Cloud-based Data Warehousing solution designed by Amazon Web Services to manage large datasets ranging up to petabyte-scale. It supports various Business Intelligence tools that enable developers to…

Fivetran Pricing Model Update: What’s Changing and How It Affects Users

April 23rd, 2025 By Rajashree Bhat in Platform, Product

Key Takeaways Per-Connector Pricing from March 2025: Fivetran transitioned to charging for monthly active rows (MAR) per connector, eliminating account-wide discounts and bulk-pricing benefits. Increased Complexity in Predicting Costs: The…

Snowflake Snowpipe Azure Integration: Real-Time Data Ingestion Made Easy

July 5th, 2024 By Arjun Narayan in Data Integration, Snowflake

Managing data ingestion from Azure Blob Storage to Snowflake can be cumbersome. Manual processes lead to inefficiencies and potential errors while also increasing operational overhead.  But what if you could…

A Comprehensive Guide to Snowflake Migration: Best Practices and Strategies

June 14th, 2024 By Skand Agrawal in Data Warehousing, Snowflake

Snowflake is a cloud data warehousing solution that has become popular for companies with large data volumes. However, moving databases from an existing data platform to Snowflake can be complicated.…

Building a Successful Data Migration Team

September 6th, 2024 By Khawaja Abdul Ahad in Data Engineering

Did you know that Netflix is one of the biggest clients for AWS? They did not just push a button when they shifted their entire data infrastructure. It took them…

Comprehensive Guide to Snowflake Cortex and Its AI/ML Functions

June 7th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

Snowflake is a data warehouse that provides various services for advanced data analytics. Snowflake Cortex is one such service. It is a fully managed feature that offers you a set…

How to Use DATEDIFF Snowflake Function: A Comprehensive Guide

May 31st, 2024 By Dimple M K in Data Warehousing, Snowflake

Have you ever wondered how Snowflake’s date and time functions can enhance your organization’s data analysis capabilities? Consider a scenario where you must prepare a financial report by calculating the…

Amazon Redshift UPDATE Statement: 3 Comprehensive Aspects

June 7th, 2024 By Amit Kulkarni in Data Warehousing, Redshift

Amazon Redshift provides a fast, reliable, and petabyte-scale Data Warehouse solution that effectively connects to Business Intelligence tools, assisting companies in gaining insights into their customers and business operations. To…

How To Integrate Snowflake PrivateLink? 3 Easy Steps

May 24th, 2024 By Raj Verma in Data Integration, Snowflake

With the advent of technology, most of the users are modernizing and moving into VPCs (Virtual Private Cloud). With every consumer moving its data into the Cloud, it is essential…

What is Data Streaming? A Comprehensive Guide 101

June 7th, 2024 By Pratik Dwivedi in Data Engineering, Data Streaming

Real-time data is the need of the hour for businesses to make timely decisions, especially in cases of fraud detection or customer behavior analysis. Relying on traditional batch processing is…

Redshift Dynamic SQL: Explained Step-by-Step

May 10th, 2024 By Skand Agrawal in Data Warehousing, Redshift

Companies use Data Warehouses to store and analyze their business data to make data-driven business decisions. Querying through huge volumes of data and reach to a specific piece of data…