Data Warehousing

Best Redshift Data Modeling Tools for 2025

January 4th, 2023 By Sharon Rithika in Data Warehousing, Redshift

Amazon Redshift is one of the most well-known data warehouses on the market, with a lot of features and efficiency. It holds a significant amount of raw data taken from…

Elasticsearch vs. Snowflake: 6 Critical Differences

November 3rd, 2022 By Sharon Rithika in Data Warehousing, Snowflake, Versus

To remain competitive, businesses today seek out the best Business Intelligence Software. Are you trying to make a choice between Elasticsearch vs. Snowflake? In this article, we assist you in…

Snowflake vs SQL Server 101: The best solution for you!

October 26th, 2022 By Sanchit Agarwal in Data Warehousing, Snowflake, Versus

The on-premise MS SQL Server database has been around since 1989, helping companies store and process data. However, it comes with its limitations. As your data increases exponentially, you have…

Snowflake vs Salesforce: 6 Critical Differences

October 21st, 2022 By Sharon Rithika in Data Warehousing, Snowflake, Versus

To remain competitive, businesses today seek out the best Business Intelligence Software. Are you trying to make a choice between Snowflake vs Salesforce? In this article, we assist you in…

Snowflake vs Kafka: 5 Critical Differences

October 21st, 2022 By Manisha Jena in Data Warehousing, Kafka, Snowflake, Versus

With ever-increasing data, organizations have realized the need to process the data. To make the most out of it, there has been a growing demand for separating storage and computing.…

Snowflake Naming Conventions 101: Best Practices

October 20th, 2022 By Sanchit Agarwal in Data Warehousing, Snowflake

There are only two hard things in Computer Science: cache invalidation and naming things. Phil Karlton You have finally chosen Snowflake as your centralized data warehousing solution to bring in…

Databricks vs Redshift: 6 Critical Differences

June 15th, 2022 By Vishal Agrawal in Data Warehousing, Redshift, Versus

Databricks is a leading Lakehouse and a hot selling product in the market. Databricks is known for combining the Data Lake and Data Warehouse in a single model known as…

Databricks vs BigQuery: 5 Critical Differences

June 10th, 2022 By Sanchit Agarwal in BigQuery, Data Warehousing, Versus

Exponentially growing data and the need to quickly process it to gain valuable insights is an ongoing challenge that most businesses face. An efficient solution is to switch from the…

Snowflake Data Profiling: A Comprehensive Guide 101

June 7th, 2022 By Pratibha Sarin in Data Warehousing, Snowflake

Data is now widely recognized as one of an organization's most important assets. It simplifies internal business transactions and ensures a seamless flow of activities. Data is a vital decision-making…

The Ultimate Guide on Snowflake Data Transformation: 3 Easy Steps

June 3rd, 2022 By Sharon Rithika in Data Warehousing, Snowflake

As new technologies are released, the field of Data Modeling continues to evolve. Data Warehousing came first, followed by MPP Data Warehouses, Hadoop, and Data Lakes. You are now living…

BigQuery Quantiles & Percentile: Using APPROX_QUANTILES Simplified 101

March 31st, 2022 By Jeremiah in BigQuery, Data Warehousing

Quantiles and Percentiles are mathematical techniques related to statistical analysis and machine learning. They are important concepts because, in statistical analysis, most of the distribution of numeric variables that you'll…

Kafka Clusters Architecture 101: A Comprehensive Guide

March 30th, 2022 By Preetipadma Khandavilli in Data Warehousing, Kafka

Event streaming is used in industries like banking, stock exchanges, hospitals, and factories for real-time data access. Apache Kafka, a prominent real-time data streaming software, employs an open-source architecture for…

How to Setup BigQuery ODBC Connection in 3 Easy Steps

March 28th, 2022 By Sanchit Agarwal in BigQuery, Data Warehousing

Offering an accelerated and unbeatable query performance, Google BigQuery has become a reliable Cloud Data Warehouse & Analytics solution worldwide. With its on-demand scaling, economical pricing, and the ability to…

Snowflake Data Engineer Roles and Responsibilities Simplified 101

March 28th, 2022 By Nicholas Samuel in Data Warehousing, Snowflake

As a Snowflake Data Engineer interpreting and understanding data is only the culmination of a long journey, which includes the transformation of raw data into fancy analytical dashboards. Systematically analyzing…

Types of Snowflake Stages: Easy Ways to Create & Manage and Best Practices 101

March 28th, 2022 By Harsh Varshney in Data Warehousing, Snowflake

Data Storage is a critical component for every Snowflake Database. Snowflake can access data saved in other Cloud Storage Systems as well as store data locally. Regardless of whether the…

Snowflake vs AWS vs Azure: Top 8 Differences for 2025

March 25th, 2022 By Nicholas Samuel in Data Warehousing, Snowflake, Versus

A Data Warehouse is one of the most important Data Science Tools for any business. It provides an organization with a data storage solution. For scalability and reduced administrative tasks,…

Simplifying Kafka Event Streaming: Easy Steps Explained (with code)

March 23rd, 2022 By Shubhnoor Gill in Data Warehousing, Kafka

Kafka Event Streaming is becoming essential as data grows across industries. But what exactly is Event Streaming? It enables businesses to: Track events like customer orders or bank deposits in…

Snowflake Primary Key Examples and Syntax

March 23rd, 2022 By Davor DSouza in Data Warehousing, Snowflake

The world has become increasingly computerized. Now, every part of our lives is connected to the Internet, providing consumers with conveniences such as instant access to any kind of information.…

Harnessing Redshift Super Data Type: Examples & Insights

March 23rd, 2022 By Samuel Salimon in Data Warehousing, Redshift

AWS Redshift is a well-known data warehousing solution that can handle exabytes of data. You might be interested in using the service for a variety of purposes, including real-time analytics,…

2025 Guide to Implementing Snowflake Data Lineage

March 22nd, 2022 By Yash Sanghvi in Data Warehousing, Snowflake

Companies use Data Warehouses for storing and analyzing their data. The data is increasing at a staggering rate and it is essential to organize this data in an efficient manner.…