Data Integration

Harvest to Snowflake Data Migration: 2 Easy Methods

June 23rd, 2023 By Bhushan Mamtani in Data Integration, Snowflake

Imagine your HR and accounting departments suddenly requested a connection between Harvest and Snowflake. And you have to sacrifice your engineering bandwidth to handle this task head-on. This can be…

Power BI ETL with Dataflows: 4 Easy Methods

June 6th, 2023 By Divij Chawla in Data Integration, ETL, PowerBI

Data preparation is often the most challenging, costly, and time-consuming part of an analytics project. Datasets can be fragmented, incomplete, or lack structural consistency, making it difficult to work with.…

8 Best Tableau ETL Tools For 2025

June 3rd, 2023 By Amit Phaujdar in Data Integration, ETL, Tableau

Key Takeaways Here are the 8 best Tableau ETL tools: 1. Hevo Data: Best for no-code data integration and real-time syncing2. Tableau Prep: Best for preparing and transforming data within…

Migrate Databases From IBM Db2 to SQL Server in 8 Easy Steps

May 30th, 2023 By Divyansh Sharma in Data Integration, SQL Server

Key Takeaways Manually migrating data from DB2 to SQL Server involves extracting data from DB2 using queries, transforming it into a compatible format, and loading it into SQL Server tables.…

Setting Up AWS Glue Snowflake Integration: 3 Easy Steps

May 28th, 2023 By Yash Sanghvi in AWS, Data Integration, Snowflake

Key Takeaways AWS Glue and Snowflake integration creates a powerful, serverless ETL solution for modern data pipelines. This combination handles both batch and streaming data processing while maintaining data quality…

Setting up AWS MySQL Deployment Simplified: 10 Easy Steps

May 28th, 2023 By Vivek Sinha in AWS, Data Integration

Deploying AWS MySQL is easier than it seems, and I’m here to guide you through the process. Cloud databases are a popular choice for modern businesses because they automatically scale…

How To Migrate Data From SQL Server to Oracle in 10 Easy Steps?

May 28th, 2023 By Harshitha Balasankula in Data Integration, SQL Server

KEY TAKEAWAY Migrating data from SQL Server to Oracle involves schema conversion, data transfer, and careful planning to ensure data integrity and minimize downtime. The 10 Steps are as follows:…

Kafka Hadoop Integration: 2 Critical Concepts

May 27th, 2023 By Yash Arora in Data Integration, Kafka

The Kafka Hadoop Integration, or the Kafka Hadoop pipeline, is predominantly used for real-time big data analytics. Both Kafka and Hadoop are the major players in the modern data analytics…

Connect Stripe to MySQL: 2 Easy Methods

May 27th, 2023 By Divij Chawla in Data Integration, MySQL

Stripe has become the go-to payment processing platform for businesses and online platforms. Storing and analyzing all that data becomes vital as transactions flow through Stripe. MySQL is a popular…

How to Integrate MongoDB to Databricks: 2 Easy Ways

May 26th, 2023 By Harsh Varshney in Data Integration, MongoDB

Unlock the full potential of your MongoDB data by integrating it seamlessly with Databricks. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see it in…

Implementing Looker Snowflake Integration: 7 Easy Steps

May 24th, 2023 By Abhishek Duggal in Data Integration, Looker Studio, Snowflake

Multiple business organizations leverage the data they generate by storing it in robust Data Warehouses and performing analyses using Business Intelligence [BI] tools to gather actionable insights for optimizing strategies.…

Data Integration vs ETL: Key Differences Explained

May 23rd, 2023 By Manisha Jena in Data Integration, ETL

Key Takeaways Choosing between data integration and ETL depends on scope, implementation needs, and organizational complexity. Below are the key differences to consider: Comparison Factor 1: Scope and DefinitionData integration…

Stream Data from PubSub to BigQuery: 4 Easy Steps

May 22nd, 2023 By Aditya Jadon in BigQuery, Data Integration

So, gearing up for PubSub to BigQuery? In today’s world, businesses rely on online workflows, creating a lot of data. Modern apps use cloud systems to manage this data quickly,…

ETL Testing: A Comprehensive Guide for 2025

May 22nd, 2023 By Vishal Agrawal in Data Integration, ETL

In the modern world today, companies gather data from multiple sources for analysis. This data can be further processed by various BI Tools to gather valuable business insights or stored…

How to Connect Excel to Google Sheets using 3 Easy Methods

May 21st, 2023 By Abhinav Chola in Data Integration

Key Takeaways The top 3 synchronization methods include: Method 1: Hevo Method - Best for businesses and teams looking for seamless, fully automated, and scalable syncing between Excel and Google…

What are the Top 10 Snowflake ETL Tools in 2025?

May 18th, 2023 By Srijan Sharma in Data Integration, ETL, Snowflake

What’s the best way to move data into Snowflake? Snowflake goes beyond being a cloud data warehouse; it offers native ETL features like Snowpipe, Streams, Tasks, and Snowpark, enough to…

How to Create a REST API to MySQL Connection?

May 18th, 2023 By Veeresh Biradar in Data Integration, MySQL

In the modern world, which is so driven by data, integrating APIs with databases has become the most critical task a developer must do. A survey1 shows that around 41.09%…

Top 12 MySQL ETL Tools in 2025

May 18th, 2023 By Vishal Agrawal in Data Integration, ETL, MySQL

In this era of Big Data, where the data is growing rapidly, the use of ETL tools has risen leading to a surge in demand for the best ETL tools…

How to Migrate Your Data from CSV to BigQuery: 4 Easy Methods

May 18th, 2023 By Pratik Dwivedi in BigQuery, Data Integration

Key Takeaways You can move CSV data to BigQuery using any of these four methods: Method 1: Using Hevo Data (Recommended)Step 1: Set Google Sheets as your source.Step 2: Choose…

Jupyter Notebook MongoDB Integration: 2 Easy Methods

May 15th, 2023 By Vidhi Shah in Data Integration, MongoDB

Since the requirements of enterprises keep changing, MongoDB has become an ideal database for companies to match the dynamically transforming data. It supports flexible schema and manages workload with horizontal…