Popular Articles

BigQuery Cached Query Results 101: Usage Made Easy

June 14th, 2024 By Dimple M K in BigQuery, Data Warehousing

Most sectors have shifted their focus online, which has led to massive data generated from sensors to customer behavior metrics. The outcome? There is an overwhelming need for Data Analytics…

How to Setup Kafka to Databricks Integration Within Minutes?

March 29th, 2024 By Sony Saji in Data Integration, Kafka

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

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…

Apache Airflow Use Cases and 5 Best Practices

April 23rd, 2025 By Arsalan Mohammed in Data Strategy

Apache Airflow is a tool that can create, organize, and monitor workflows. It is open-source hence it is free and has a wide range of support as well. It is…

Enhance Data Integrity With Snowflake Date Format

June 7th, 2024 By Sarad Mohanan in Data Warehousing, Snowflake

Data and time information are essential for accurately capturing, organizing, and processing data for effective data management. These functions help you extract information from the storage system in a logical…

Cloud Data Analytics: Workings, Benefits, Best Practices, Tools

December 29th, 2023 By Jalaj Jain in Data Strategy

Globally, an increasing number of data-driven organizations are using cloud platforms to efficiently utilize their data assets. As per recent data, over 80% of organizations use cloud environments to perform…

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…

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…

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…

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.…

Kinesis vs Kafka: What’s the Best Choice for Your Data Pipeline

April 23rd, 2025 By Satyam Agrawal in Data Warehousing, Kafka, Versus

Data is all around us. There is a firehose of information coming from social networks, financial trading floors, and geospatial services. Collecting, storing, and analyzing this type of high throughput…

Snowflake Testing for Data Warehouses Simplified 101

May 17th, 2024 By Dimple M K in Data Warehousing, Snowflake

A Data Warehouse has become the need of the hour today because most companies are shifting to data-driven solutions. Businesses use multiple online tools and services to reach out to…

Understanding mysqlimport (Importing Data Made Easy)

May 17th, 2024 By Sanchit Agarwal in Database Management System, MySQL

Whether you're new to MySQL or a seasoned user, the mysqlimport tool significantly enriches the process of loading data.  In this article, learn: How to use mysqlimport? When to use…

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…

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…

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 Implement Snowflake dbt Integration Step by Step

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

The exponential data growth has increased the demand for tools that make data processes, such as data collection, integration, and transformation, as smooth as possible. These tools and technologies can…

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…

Google BigQuery vs Athena: 7 Critical Differences

May 10th, 2024 By Nitin Birajdar in BigQuery, Data Warehousing, Versus

Today, every organization is moving to serverless cloud offerings to solve many data-related challenges. The primary issue these companies face occurs while trying to manage vast data repositories. In such…

Mastering Snowflake DATE_PART Function for Powerful Date Operations

May 31st, 2024 By Radhika Sarraf in Data Warehousing, Snowflake

Working with dates and times is a common task in data analysis and reporting scenarios. Whether you're analyzing time-series data, generating reports based on specific date ranges, or performing complex…