Popular Articles

Snowflake Data Mart – How to Build One?

June 26th, 2024 By Skand Agrawal in Data Warehousing, Snowflake

Your organization may store large volumes of data in a single Snowflake data warehouse. However, extracting data specific to individual departments from the data warehouse can be time-consuming, delaying your…

Understanding Snowflake UI: An Easy Guide

June 7th, 2024 By Arsalan Mohammed in Data Warehousing, Snowflake

This article talks about Snowflake UI and provides information about its Database, Warehouse, Worksheet, and History pages. In addition to that, It also talks about other UI help and user…

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…

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:…

The Best AWS Glue Tutorial: 3 Major Aspects

June 20th, 2024 By Vishal Agrawal in AWS, Data Strategy

ETL (Extract, Transform, and Load) is an emerging topic in all IT Industries. Industries often look for an easy solution to do ETL on their data without spending much effort…

Connect Facebook Ads to Azure Synapse: 2 Ways to Integrate Data

August 17th, 2023 By Amulya Reddy in Data Integration

Easily move your data from Facebook Ads To Azure Synapse to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to…

What Are Data Lakes? Components, Challenges & Best Practices

July 15th, 2024 By Raju Mandal in Data Strategy

In this information age, there has been explosive growth in the rate and type of data generated daily. From mobile devices and IoT sensors to our online content, unprecedented amounts…

Snowflake TO_DATE: Level-Up your Data Transformation

June 7th, 2024 By Satyam Agrawal in Data Warehousing, Snowflake

Date and time are important data types for analyzing trends and patterns during data analysis. They also help manage deadlines and inventories by comparing changes in resources over a period…

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…

Amazon Redshift CREATE Schema Command: 2 Critical Aspects

June 14th, 2024 By Talha in Data Warehousing, Redshift

The essence of having a Database is to be able to manage your data efficiently so you can easily store information, query records, and increase the overall productivity and profitability…

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,…

Data Migration Challenges and Solutions for 2025

August 28th, 2024 By Sakshi Kulshreshtha in Best Practice, Data Strategy

In 2020, the world contained 44 zettabytes of data. It has been projected that by 2025, global cloud storage will hold more than 200 zettabytes of data, with 463 exabytes…

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…

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…

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,…

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…

Mastering Redshift Date Functions: A Comprehensive Guide

May 17th, 2024 By Talha in Data Warehousing, Redshift

Redshift is a completely managed data warehouse service offered by Amazon Web Services. It is known for its ability to scale seamlessly, support petabytes of data storage, and super-fast querying…

What Is AWS Data Pipeline: Core Concepts & Implementation Explained

April 5th, 2024 By Vivek Sinha in AWS, Data Strategy

AWS Data Pipeline is a web service that lets you process and moves data at regular intervals between AWS computing and storage services, as well as on-premises data sources. It…

AWS DMS Redshift: Migrate Data to Redshift using AWS DMS

August 2nd, 2024 By Suraj Poddar in AWS, Data Engineering, Redshift

In the modern data-centric world, efficient data transfer and management are essential to staying competitive. AWS offers robust tools to facilitate this, including the AWS Database Migration Service (DMS).Most businesses…

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…