Popular Articles

Manage Date/Time Values Using EXTRACT From Oracle Function

June 26th, 2024 By Dimple M K in Data Engineering

Effective data management requires accurate data capture, storage, processing, and analysis. Date and time values are critical in organizing and filtering data, providing a foundation for efficient data processing. Oracle’s…

What is Data Streaming? A Comprehensive Guide 101

June 7th, 2024 By Pratik Dwivedi in Data Engineering, Data Streaming

Real-time data is the need of the hour for businesses to make timely decisions, especially in cases of fraud detection or customer behavior analysis. Relying on traditional batch processing is…

SQL Server Azure Synapse: Swift Ways to Conduct Data Migration

April 12th, 2024 By Saloni Agarwal in Data Integration, SQL Server

Handling large volumes of business data is challenging. You can collect data from various sources using multiple techniques. This data can be thoroughly analyzed to gain valuable insights that optimize…

AWS DMS Pricing: A Detailed Breakdown

August 28th, 2024 By Raju Mandal in AWS, Data Strategy

Organizations store data across multiple systems, platforms, and infrastructure from on-premise locations to the cloud. Moving data from one location to another can be a pretty complicated process involving planning,…

How to Create, Interact, & Manage Snowflake Secure Views:?

June 14th, 2024 By Yash Arora in Data Warehousing, Snowflake

Securing sensitive information is essential for businesses today. And, in the category of sensitive information, comes the underlying tables and internal structural details that might get exposed in the user…

Streamline Collaboration with Snowflake Data Sharing

May 31st, 2024 By Skand Agrawal in Data Warehousing, Snowflake

Secure data sharing is a prominent feature of Snowflake that allows you to collaborate with others in the same region. This feature enables the secure transfer of specific database objects…

Oracle BigQuery Comparison: 11 Critical Differences

May 10th, 2024 By Veeresh Biradar in BigQuery, Data Warehousing, Versus

Before the database system was invented, data was commonly stored in flat files like text files or CSV files. OracleDB was invented very early with a very large market across…

Effortlessly Perform Amazon Redshift to Redshift Data Migration

May 10th, 2024 By Suraj Kumar Joshi in Data Integration, Redshift

Unlock the full potential of your Redshift data by migrating it seamlessly to another Redshift account. With Hevo’s automated pipeline, get data flowing effortlessly—watch our 1-minute demo below to see…

Amazon Redshift vs Hadoop: Which Is Right for Your Data?

March 29th, 2024 By Sarad Mohanan in Data Warehousing, Redshift, Versus

Apache Hadoop and its map-reduce programming model started the big data revolution back in 2006. The core of the offering was a distributed file system abstraction built over commodity hardware…

Redshift Data Storage: A Comprehensive Guide 101

June 14th, 2024 By Sharon Rithika in Data Warehousing, Redshift

Amazon Redshift is a fully-managed, cloud data warehouse that you can draw useful insights from. Clients rely on Amazon Redshift to analyze data and to execute complex analytical queries. You…

Azure Postgres to Databricks: 2 Extensive Data Migration Methods

May 3rd, 2024 By Saloni Agarwal in Data Integration, PostgreSQL

Easily move your data from Azure Postgres 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…

Redshift SQL Server Integration: Step-by-Step Explanation

April 5th, 2024 By Suraj Kumar Joshi in BigQuery, Data Integration, Redshift

Data migration between different platforms is critical to consider when generating multiple organizational strategies. One such migration involves transferring data from a cloud-based data warehousing service environment to a relational…

Understanding Snowflake UI: An Easy Guide

June 7th, 2024 By Arsalan Mohammed in Data Warehousing, Snowflake

This article talks about Snowflake UI and provides information about its Database, Warehouse, Worksheet, and History pages. In addition to that, It also talks about other UI help and user…

Migrating AWS RDS MSSQL to Snowflake: 2 Effective Methods

April 26th, 2024 By Sony Saji in AWS, Data Integration, Snowflake

Easily move your data from AWS RDS MSSQL 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…

Migrating from Heroku PostgreSQL to Snowflake: Top 3 Methods

May 10th, 2024 By Sony Saji in Data Integration, PostgreSQL, Snowflake

Easily move your data from Heroku PostgreSQL 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 see…

How Zero ETL Helps to Extract Timely Insights Without Traditional Hassles?

May 3rd, 2024 By Anaswara Ramachandran in Data Integration, ETL

How far has your team reached in the journey to extract timely insights from transactional data? Every purchase and financial trade holds the key to unlocking core business drivers, propelling…

How to Drive Insights by Integrating Salesforce Marketing Cloud to BigQuery?

May 17th, 2024 By Saloni Agarwal in BigQuery, Data Integration

Easily move your data from Salesforce Marketing Cloud To BigQuery to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to…

Aurora MySQL Integration: Maximizing Cost Efficiency with 2 Easy Methods

April 5th, 2024 By Suraj Kumar Joshi in AWS, Data Integration

Managing databases is an essential part of business. It helps you store and retrieve data on the go. With the latest technologies in the market, deciding which database management system…

Redshift Datepart Function 101: Syntax and Usage Simplified

June 7th, 2024 By Sanchit Agarwal in Data Warehousing, Redshift

With the emergence of Cloud Data Warehouses, enterprises are gradually moving towards Cloud storage leaving behind their On-premise Storage systems. This shift is observed owing to the high computing power…

Building Data Lake in Apache Iceberg with MySQL CDC

July 12th, 2024 By Dipal Prajapati in Change Data Capture CDC

Building a data lake for reporting, analytics, and machine learning needs has become general practice. Data lakes allow us to ingest data from multiple sources in their raw formats in…