Popular Articles

A Guide to Snowpark in Snowflake[+4 Tips to Get the Most Value from Snowpark]

June 20th, 2024 By Amit Phaujdar in Data Warehousing, Snowflake

Traditionally, when working with Spark workloads, you would have to run separate processing clusters for different languages. Capacity management and resource sizing are also a hassle. Snowpark in Snowflake: Spark…

Data Lake vs Delta Lake: Which is Better for Your Data Strategy?

July 31st, 2024 By Martina Šestak in Data Engineering

The fast-growing pace of big data volumes produced by modern data-driven systems often drives the development of big data tools and environments that aim to support data professionals in efficiently…

Application Integration vs Data Integration: Key Concpets & Detailed Comparison

April 26th, 2024 By Sharon Rithika in Data Integration

Choosing the best tool for the job requires a thorough understanding of each type of integration. That is why we need to dive deeper into learning about data integration vs…

Snowflake Data Lakehouse: What is it & How to Build One?

June 26th, 2024 By Sarad Mohanan in Data Warehousing, Snowflake

You can use data warehouses or data lakes as a repository for data management and analytics tasks. Both of these solutions have their advantages and disadvantages. A data warehouse is…

All About The Airflow Redshift Operator Made Easy 101

June 14th, 2024 By Talha in Data Warehousing, Redshift

Airflow is a Task Automation tool. It helps organizations to schedule their tasks so that they are executed when the right time comes. This relieves the employees from doing tasks…

Amazon Redshift vs Netezza: 4 Critical Differences

April 12th, 2024 By Dimple M K in Data Warehousing, Redshift, Versus

In today’s world where Analytics is the backbone of the progress of any business, there are many established technology players who are providing equally good solutions for Data Warehousing. In…

Top-10 Open Source Data Orchestration Tools

August 16th, 2024 By Kamlesh in Data Strategy

This blog explores the world of open-source data orchestration tools, highlighting their importance in managing and automating complex data workflows. From Apache Airflow to Google Cloud Composer, we’ll walk you…

Understanding Kafka Debezium Event Sourcing: 7 Critical Steps

June 25th, 2024 By Srishty Bhardwaj in Data Strategy

Organizations use real-time data to streamline several business processes with robust applications. However, it is not straightforward to build a fault-tolerant application since a colossal amount of changes occur within…

How to Code a Data Pipeline Python

September 11th, 2024 By Raju Mandal in Data Engineering, Data Pipeline

A Data Pipeline is an indispensable part of a data engineering workflow. It enables the extraction, transformation, and storage of data across disparate data sources and ensures that the right…

Effortless Data Migration from Azure Postgres to Snowflake: 2 Easy Methods

May 3rd, 2024 By Radhika Sarraf, Sony Saji in Data Integration, PostgreSQL, Snowflake

Easily move your data from Azure 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…

Fivetran vs Matillion: Detailed Comparison for 2025

August 6th, 2024 By Arun Chaudhary in Platform, Product

Introduction In the data-driven modern world, organizations are quite dependent on ETL tools that help them integrate their data efficiently. These are the tools that base their guarantee of a…

Mastering Oracle Data Load: A Comprehensive Guide

June 28th, 2024 By Skand Agrawal in Data Strategy

Oracle data load is an essential process for organizations wanting to import and manage large volumes of data within Oracle databases. This process helps keep the Oracle cloud applications, Oracle…

Legacy SQL vs Standard SQL: Simplifying BigQuery Dialects

May 10th, 2024 By Sarthak Bhardwaj in BigQuery, Data Warehousing, Versus

In this age of data transformation where organizations are constantly seeking out ways to improve the day to day handling of data being produced and looking for methods to minimize…

Setting up Redshift Data Lake Export: Made Easy 101

June 20th, 2024 By Manisha Jena in Data Warehousing, Redshift

AWS (Amazon Web Services) is one of the leading providers of Cloud Services. It provides Cloud services like Amazon Redshift, Amazon S3, and many others for Data Storage. Extract, Transform,…

GCP Postgres to Databricks: 2 Ways for Effortless Integration

May 10th, 2024 By Shuchi Chitrakar in Data Integration, PostgreSQL

Easily move your data from GCP 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…

Avro vs Parquet: Which File Format is Right for You?

July 24th, 2024 By Dipal Prajapati in Data Engineering

While working with huge amounts of data, Data serialization plays an important role in the performance of the system. Data Serialization converts complex data structures, such as graphs, trees, etc.,…

Building a Successful Data Migration Team

September 6th, 2024 By Khawaja Abdul Ahad in Data Engineering

Did you know that Netflix is one of the biggest clients for AWS? They did not just push a button when they shifted their entire data infrastructure. It took them…

AWS RDS Oracle to BigQuery Migration: 2 Simplified Methods

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

Easily move your data from AWS RDS Oracle 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…

AWS DMS CDC SQL Server: Configure, Consider, Limitations, Alternatives

August 6th, 2024 By Nitin Birajdar in Change Data Capture CDC, SQL Server

We've all been there: your business is growing, and your data is expanding across various systems. You're trying to keep everything in sync, but manual updates and batch processing don't…

Apache Druid vs BigQuery: 18 Key Differences

May 10th, 2024 By Dimple M K in BigQuery, Data Warehousing, Versus

Enterprises need a Data Warehouse to examine data over time and deliver actionable business intelligence. The need to efficiently pull together data from a broad array of ever-evolving data sources…