Data Integration

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…

Snowflake Snowpipe: The Ultimate Tool For Data Loading

July 5th, 2024 By Roopa Madhuri G in Data Integration, Snowflake

Data practitioners often need manual intervention to load large volumes of data into Snowflake in near real-time. Traditional batch loading can be slow and intensive and may lead to latency…

A List of 21 Best ETL Tools And Why You Should Choose Them?

July 1st, 2024 By Sarad Mohanan in Data Integration, ETL

As data volumes and complexity continue to grow, choosing the right ETL tool is essential for data professionals. ETL tools simplify the process of extracting, transforming, and loading data from…

How to Migrate Data from MySQL to Snowflake Destination?

July 1st, 2024 By Nitin Birajdar in Data Integration, MySQL, Snowflake

Quick Takeaway Moving data from MySQL to Snowflake requires exporting your source data, setting up your Snowflake destination, and loading data reliably. Here’s which method fits different scenarios: Method 1:…

How to Load Data from HubSpot to BigQuery

July 1st, 2024 By Chirag Agarwal in BigQuery, Data Integration

Key takeaways Syncing HubSpot data to BigQuery can be approached in several ways, each with its own trade-offs and benefits.  Hevo offers a no-code, fully automated solution to move data…

Oracle Spark Connector: Exchange Data With Efficiency

June 26th, 2024 By Sarthak Bhardwaj in Data Integration

Organizations deal with data collected from multiple sources, which increases the complexity of managing and processing it. Oracle offers a suite of tools that helps you store and manage the…

GCP Oracle Migration: Optimize your Workload

June 20th, 2024 By Sarthak Bhardwaj in Data Integration

Oracle is widely used to store, manage, and perform complex operations on data, making it ideal for business-critical operations. You can efficiently scale your business data by hosting Oracle services…

Types of Data Integration: A Comprehensive Guide

June 20th, 2024 By Skand Agrawal in Data Integration

In today's dynamic business landscape, mastering the art of data integration is not just a choice but a necessity. The wealth of valuable information resides in various sources, from corporate…

Oracle to PostgreSQL Migration: The Complete Guide

June 19th, 2024 By Suraj Poddar in Data Integration, PostgreSQL

Key Takeaways When it comes to migrating data from Oracle to PostgreSQL, this blog outlines several methods, each suited to different needs: Method 1: Hevo is a no-code, automated solution…

How to Move Data from MongoDB to PostgreSQL: 2 Easy Steps & Methods

June 19th, 2024 By Chirag Agarwal in Data Integration, MongoDB, PostgreSQL

KEY TAKEAWAY Two main ways to migrate data from MongoDB to PostgreSQL: Hevo Data: The faster, hassle-free option. Set it up once and get continuous, real-time sync with no coding…

A Guide to Streamline Azure Data Factory Snowflake Integration

June 14th, 2024 By Nitin Birajdar in Data Integration, Snowflake

Azure Data Factory (ADF) is a Microsoft-managed data integration solution that facilitates the creation of cloud-based data workflows. It is a fully managed service that can be used to build…

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…

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…

AWS SQS Pricing: A Comprehensive Guide

June 14th, 2024 By Veeresh Biradar in AWS, Data Integration

Do you want to use AWS SQS? Do you want to know about the AWS SQS Pricing? If yes, then this blog will answer all your queries. AWS SQS is…

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…

8 Best Open-source ETL Tools to Consider in 2025

May 31st, 2024 By Sourabh Agarwal in Data Integration, ETL

Key Takeaways Here are the 8 best open-source ETL tools: 1. Hevo Data: Best for no-code ETL with zero maintenance and real-time data pipelines2. dbt (Data Build Tool): Best for…

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…

What Is Data Integration Architecture: Key Components, Types & Best Practices

May 31st, 2024 By Sanchit Agarwal in Data Integration

Daily operations within modern sales, marketing, customer service, product, and finance arms of organizations generate huge volumes of data. This data is siloed away in multiple databases & applications, creating…

Integrating Slack SQL Server: Increase Collaboration Using 2 Effective Methods

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

Communication and data management are essentials for running a business. Most corporations run their businesses over the cloud, with employees working worldwide. Cloud-based messaging and data storage have become essential…

How to Sync Data from MongoDB to PostgreSQL: 2 Easy Methods

May 31st, 2024 By Suraj Poddar in Data Integration, MongoDB, PostgreSQL

MongoDB is the preferred choice for most use cases involving structured and semi-structured data. MongoDB has a comprehensive querying layer, combined with the ability to add keys dynamically. This makes…