Popular Articles

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…

What is BigQuery Dataset ? The Ultimate Guide 101

June 7th, 2024 By Pratik Dwivedi in BigQuery, Data Warehousing

BigQuery datasets are a powerful feature of Google Cloud’s fully managed, serverless, and scalable data warehouse. They allow users to organize and manage large-scale data across different regions, perform lightning-fast…

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…

How to Set Up BigQuery JDBC Connection – 4 Easy Steps

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

Organizations use Google BigQuery Data Warehouse for analytics and querying large, complex datasets. BigQuery is based on Dremel architecture that divides the query execution into slots. When multiple users are…

AWS DMS CDC: Complete Guide to Real-Time Data Migration

August 13th, 2024 By Kamlesh in Change Data Capture CDC

So, you’ve heard about AWS Database Migration Service (DMS) and Change Data Capture (CDC) and are curious how it can help you with your data migration needs. Well, you’ve come…

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…

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 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…

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 RAG Architecture Can Enhance Your Application’s Data Retrieval

July 4th, 2024 By Raju Mandal in Data Engineering

Retrieval-augmented generation (RAG Architecture) enhances response generation of a Large Language Model (LLM) by incorporating external information retrieval. It searches a database for information beyond the model's pre-trained knowledge base,…

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…

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…

Data Pipeline Architecture: Diagrams & Best Practices

June 7th, 2024 By Sharon Rithika in Data Engineering, Data Pipeline

Data pipelines play a vital role in modern data management. They connect various data sources within an organization to those who need them. The ability to move data quickly and…

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…

Redshift SELECT INTO 101: Syntax, Usage, and Examples Simplified

May 17th, 2024 By Sarthak Bhardwaj in Data Warehousing, Redshift

A relational database that supports procedural language allows you to assign a value to a local variable within stored procedures by using the SELECT statement. Teradata and Oracle databases, for…

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…

How to Move Data from AWS Aurora Postgres to Snowflake

April 20th, 2024 By Suraj Kumar Joshi in AWS, Data Integration, PostgreSQL, Snowflake

Easily move your data from AWS Aurora Postgres to Snowflake to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to…

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…

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…

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…