Popular Articles

Getting Started with Snowflake Materialized Views

September 10th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

In Snowflake, the views are crucial for organizing, selecting, and retrieving data while not copying the data itself. Instead, if performance is a concern—such as in querying large data sets—then…

DATEADD Snowflake: Enhance Your Data Management Capabilities

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

You can analyze trends by identifying the direction in which your data values are moving. Date and time functions such as DATEADD, DATEDIFF, DATE_TRUNC, LAST_DAY, and more help you assess…

Azure Blob Storage to Snowflake: Best Ways to Migrate Data

March 22nd, 2024 By Riya Bothra in Data Integration, Snowflake

Easily move your data from Azure Blob Storage 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…

JSON SQL Server: Swift Data Integration Methods

March 29th, 2024 By Saloni Agarwal in Data Integration, SQL Server

Data is your business's lifeblood. Analyzing business data can help you gain insights to generate reports and create a strategic business plan. If you have large datasets in JSON format,…

Amazon Redshift vs Oracle ADW: 9 Simple Key Differences

May 10th, 2024 By Anmol Baunthiyal in Data Warehousing, Redshift, Versus

Given that the world of Big Data often involves the world of Data Warehouses and dealing with massive datasets, it should come as no surprise that a modern Cloud Data…

Data Ingestion Azure Data Factory: What, Why and How?

June 20th, 2024 By Manjiri Gaikwad in Data Ingestion, Data Strategy

As data collection within organizations proliferates rapidly, developers are automating data movement through Data Ingestion techniques. However, implementing complex Data Ingestion techniques can be tedious and time-consuming for developers. As…

BigQuery Cost Optimization: Simple Strategies to Save Money

September 29th, 2024 By Khawaja Abdul Ahad in BigQuery, Data Warehousing

Have you ever opened the billing section of a BigQuery account and got a shocking surprise? You are not alone. BigQuery is a powerful tool, but this power does not…

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…

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…

dbt vs Airflow: A Comprehensive Guide

August 21st, 2024 By Muskan Kesharwani in Data Engineering

Data has become the foundation of any successful business. The ability to efficiently extract, transform, and load data for analysis is crucial for making informed data-driven decisions. Therefore, the tools…

Building with AWS Glue S3: A Step-by-Step Guide

August 28th, 2024 By Suraj Poddar in Platform, Product

In this blog, we will explore how to build a data pipeline using AWS Glue S3. We will go through every step of the process, and by the end, you…

Mastering Google BigQuery ML: A Simplified 101 Guide

June 20th, 2024 By Suraj Poddar in BigQuery, Data Warehousing

Nowadays, Machine Learning plays a vital role in making calculated decisions and predictions on data. Terabytes of data are generated daily and stored in Data Warehouses and Data Lakes to…

How dbt Semantic Layer Simplifies Data for Decision-Making

August 22nd, 2024 By Khawaja Abdul Ahad in Data Strategy

Data is a productive asset, but it is also becoming complex. As organizations grow and accumulate vast amounts of data, managing data becomes a challenge. Raw data becomes overwhelming, especially…

Snowflake Polaris Catalog – What is it?

August 1st, 2024 By Neha Sharma in Data Warehousing, Snowflake

As data continues to drive modern-day business decisions, the need for interoperable engines with open-source table formats becomes paramount. Addressing this need, Snowflake introduced the Polaris catalog for Apache Iceberg…

AWS DMS Postgres: Migration Made Easy

August 6th, 2024 By Skand Agrawal in AWS, Data Integration, PostgreSQL

In today’s dynamic business environment, companies often need to migrate their databases for many different reasons, ranging from scaling their operations to modernizing their technology stack or moving to the…

AWS Apache Airflow: Managed Workflows for Apache Airflow (MWAA)

June 7th, 2024 By Raj Verma in AWS, Data Strategy

Automation plays a key role in improving production rates and work efficiency in various industries. Airflow is used by many Data Engineers and Developers to programmatically author, schedule, and monitor…

How to Integrate DynamoDB to S3 Within 1 Minute?

October 28th, 2024 By Kamlesh in AWS, Data Integration

Interactive Demo to Connect DynamoDB to S3 Using Hevo Steps to Connect DynamoDB to S3 Easily Step 1: Configure DynamoDB as your source. Click on the ‘Create Pipeline’ button. Search…

Firebolt vs Snowflake: Which Tool Suits You the Best?

May 10th, 2024 By Skand Agrawal in Data Warehousing, Snowflake, Versus

With organizations generating huge volumes of both Structured and Unstructured data, the demand for data storage is on the rise. Organizations need data storage options that can be accessed from…

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…

Fivetran vs Airflow: Choose the Right ELT Solution

April 23rd, 2025 By Chirag Agarwal in Platform, Product

Key Takeaways Choosing between Fivetran and Airflow for data integration depends on technical requirements, budget, and team capabilities. Below are the key differences to consider: Comparison Factor 1: Ease of…