Popular Articles

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…

Redshift CREATE DATABASE Command 101: Syntax & Usage Simplified

January 24th, 2022 By Nicholas Samuel in Data Warehousing, Redshift

AWS Redshift is a Cloud Data Warehousing solution provided by Amazon. Redshift can scale to store huge volumes of data running up to petabytes. It uses the AWS Infrastructure. Redshift…

Setting Up Debezium SQL Server Integration: 3 Easy Steps

February 16th, 2022 By Aditya Jadon in Data Integration, SQL Server

Modern applications continuously make changes in the Databases, store and retrieve information. Companies want to feed their applications with up-to-date data. Slow data processing delays business decisions. Organizations streamline various…

How to Connect Jira to Oracle in 4 Simple Steps?

September 30th, 2021 By Oshi Varma in Data Integration

Do you use JIRA for bug and issue tracking? Do you want to export your data from JIRA to Oracle? If yes, then you have landed at the right place.…

Apache Spark vs Redshift 101: Which is Best for Big Data?

January 12th, 2022 By Manisha Jena in Data Warehousing, Redshift, Versus

Apache Spark has especially been a popular choice among developers as it allows them to build applications in various languages such as Java, Scala, Python, and R. Whereas, Amazon Redshift…

AWS RDS PostgreSQL Integration: 2 Easy Methods

May 31st, 2021 By Muhammad Faraz in AWS, Data Integration, PostgreSQL

Integrating Databases with Cloud Databases has become quite common in today's world. As companies have been relying on the Cloud for the majority of their products and services, this technology…

Airtable MySQL Integration: 2 Easy Methods

April 22nd, 2021 By Talha, Madanlal Bidiyasar in Data Integration, MySQL

If you consider your data in Airtable absolutely vital to run your business, then you should create backups to protect your business. While Airtable maintains redundant backups on its data…

BigQuery Analysis: A Complete Guide to Exploratory Data Insights

March 9th, 2022 By Roxana Raducanu in BigQuery, Data Warehousing

Exploratory Data Analysis (EDA), also known as Data Exploration, is an approach for the Data Analysis Process that employs various techniques to better understand the data we have. EDA typically…

Databricks Salesforce Connection: 2 Easy Steps

May 15th, 2023 By Raj Verma in Data Integration

Marc Benioff, Parker Harris, Dave Moellenhoff, and Frank Dominguez founded Salesforce.com in 1999, and it has grown to become one of the most dominant software companies globally. Salesforce is a…

Working with Federated Query Redshift: 4 Easy Steps

January 7th, 2022 By Isola Saheed Ganiyu in Data Warehousing, Redshift

The purpose of this tutorial is to show you how to run Federated Query Redshift. You may already know how to run queries on Amazon Redshift by loading your data…

DynamoDB MySQL Connection: 3 Easy Steps

April 8th, 2023 By Manjiri Gaikwad in Data Integration, MySQL

DynamoDB is a scalable database management system provided by Amazon that helps users store data as per their requirements. Amazon allows users to query DynamoDB data using DynamoDB API or…

How to Migrate Data from Google Sheets to Redshift: Step-by-Step Simplified

September 15th, 2021 By Vernon D'Costa in Data Integration, Redshift

Unlock the full potential of your Google Sheets data by integrating it seamlessly with Redshift. With Hevo’s automated pipeline, get data flowing effortlessly. Watch our 1-minute demo below to see…

Understanding Azure Data Factory Schedules Simplified 101

April 19th, 2022 By Syeda Famita Amber in Data Strategy

Companies store and analyze their business data to make smarter decisions. They have their data scattered in a multitude of sources that need to be unified and analyzed to generate…

How To Migrate DynamoDB To PostgreSQL? Step by Step Guide

April 20th, 2023 By Muhammad Faraz in Data Integration, PostgreSQL

Quick Take Method 1: Hevo No-Code Pipeline – Best for: Business users or teams who want a simple, automated solution. Why choose this? Fastest setup, zero maintenance, and reliable real-time…

Google Analytics 4 to Snowflake Integration: 2 Easy Methods

April 22nd, 2023 By Sharon Rithika in Data Integration, Snowflake

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

Snowflake Data Lake: A Comprehensive Guide 101

January 3rd, 2022 By Ofem Eteng in Data Warehousing, Snowflake

Over the years, there has been a great desire to quickly and cost-effectively gather insights from a variety of Data Sources in a single location, and as such, there have…

Grafana BigQuery Integration: 4 Easy Steps

December 15th, 2021 By Abhinav Chola in BigQuery, Data Integration

Businesses deal with data all day long. However, to make sense of the vast information, they look towards tools that can summarize their huge datasets into appealing and logical visual…

How to Build ETL Workflow & Processes? | Easy Ways to Get Started

April 22nd, 2022 By Yash Arora in Data Integration, ETL

Creating an ETL workflow is a time-consuming but critical component of the data warehousing process. The process of developing ETL workflow is frequently ad hoc, complicated, and based on trial-and-error.…

Understanding Federated Query BigQuery Made Easy

January 18th, 2022 By Orina Mark in BigQuery, Data Warehousing

What if someone asked you some incredibly specific questions regarding your customers. With this in mind, this post dives into Big Data Analytics and Queries. Specifically, it is designed to…

Building Snowflake ELT Pipeline [+8 Best Tools]

December 22nd, 2021 By Ofem Eteng in Data Warehousing, Snowflake

There is a growing need among businesses to capture relevant information from the data they produce because businesses that fail to capture data and transform it into timely and valuable…