Popular Articles

Batch Processing vs Stream Processing: Key Differences Explained

May 3rd, 2024 By Harshitha Balasankula in Data Strategy, Versus

Data Processing is the collection, manipulation, and processing of collected data for the intended use. It is a computer-assisted technique that involves retrieving, transforming, or classifying data. Computerized Batch Processing…

Understanding Redshift RA3 Node: A Comprehensive Guide

May 31st, 2024 By Osheen Jain in Data Warehousing, Redshift

Companies are continually seeking out efficient solutions that improve their data management and analytics. Migrating to a new architecture like RA3 node by Amazon Redshift helps companies share data between…

GCP Storage Buckets List: Efficient Data Organizing Strategy

April 20th, 2024 By Saloni Agarwal in Data Strategy

Google has always pioneered the development of large and scalable infrastructure to support its search engine and other products. Its vast network servers have enabled us to store and manage…

Top 10 Leading Data Lake Tools in 2025: Choose the Right One

July 12th, 2024 By Talha in Data Engineering

Are you looking for a data lake tool that is scalable, cost-efficient, and accessible, can store your business’s historical data, and can help you perform intelligent analytics?  No worries. To…

Mastering Data Ingestion in Your Apache Iceberg Lakehouse

July 17th, 2024 By Raju Mandal in Data Integration

Every data-centric organization uses a data lake, warehouse, or both data architectures to meet its data needs. Data Lakes bring flexibility and accessibility, whereas warehouses bring structure and performance to…

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…

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…

6 Best Snowflake Analytics Tools: A Complete Guide

April 26th, 2024 By Talha in Data Integration, Snowflake

Carrying out an insightful data analysis for your business requires having the ability to not only store or access data, but also to transform it into a form, that can…

How to Connect Salesforce to Snowflake in 1 Minute?

June 14th, 2024 By Chirag Agarwal in Data Integration, Snowflake

Building a Data Pipeline to Connect Salesforce to Snowflake Using Hevo Steps to Build the Pipeline for Salesforce to Snowflake Step 1: Configure Salesforce as your Source. Click on ‘Create…

Amazon Redshift Data Sharing Simplified 101

May 17th, 2024 By Satyam Agrawal in Data Warehousing, Redshift

Team members of every organization often share data among themselves to promote unified decision-making about products and consumers. With traditional Data Warehouses, Data Sharing can be stressful and time-consuming. Users…

How to Connect Postgres to Google Sheets: 3 Easy Methods

July 9th, 2024 By Skand Agrawal in Data Integration, PostgreSQL

Managing data efficiently often means bridging the gap between powerful databases and user-friendly tools. PostgreSQL, a robust open-source database, and Google Sheets, a versatile spreadsheet platform, are a perfect pair…

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…

Top 10 Data Integration Techniques and Strategies in 2025

June 14th, 2024 By Sanchit Agarwal in Data Integration

Modern data firms need data siloed away at different locations to be in an analysis-ready form in a unified data repository. This approach of combining data from multiple applications into…

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 Storage Integration: The Only Guide You Need for Configuring

June 7th, 2024 By Chirag Agarwal in Data Warehousing, Snowflake

What are the methods you follow for storing your data from a staging area to Snowflake? Snowflake storage integration is a way which allows easy authentication without directly giving credentials…

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…

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…

ETL Batch Processing Made Easy: A Comprehensive 101 Guide

April 26th, 2024 By Preetipadma Khandavilli in Data Integration, ETL

Today, companies have access to a broad spectrum of big data gathered from various sources. These sources include web crawlers, sensors, server logs, marketing tools, spreadsheets, and APIs. To gain…

What Is Enterprise Data Integration?

February 2nd, 2024 By Catherine Schwartz in Data Integration

As businesses integrate and adapt to modern technologies and processes, data used increases and is kept in different platforms—whether you keep them on on-site physical servers, cloud servers, or hybrid…

How to Migrate Data from BigQuery to Databricks?

May 10th, 2024 By Saloni Agarwal in BigQuery, Data Integration

Analyzing vast volumes of data can be challenging. Google BigQuery is a powerful tool that efficiently stores, processes, and analyzes large datasets. However, it may only provide some of the…