Snowflake

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…

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…

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,…

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.…

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.…

What is Zero Copy Cloning in Snowflake – Comprehensive Guide

March 16th, 2022 By Syeda Famita Amber in Data Warehousing, Snowflake

Snowflake's Data Cloud is based on a cutting-edge Data Platform that is available as Software-as-a-Service (SaaS). Snowflake provides data storage, processing, and analytic solutions that are faster, easier to use,…

Snowflake Grant Role to User: 101 Simplified

March 14th, 2022 By Nicholas Samuel in Data Warehousing, Snowflake

Snowflake is a popular Data Warehouse that allows businesses to easily store and process enormous amounts of data. It also provides a variety of analytical solutions that are intended to…

Using Snowflake JavaScript API for Stored Procedures Simplified 101

March 10th, 2022 By Yash Sanghvi in Data Warehousing, Snowflake

Companies use Data Warehouse to store and analyze their business data for making data-driven business decisions. Data plays an essential role in boosting the company’s performance. Business Intelligence tools need…

Snowflake Roles & Access: A Comprehensive Guide 101

March 7th, 2022 By Yash Arora in Data Warehousing, Snowflake

Snowflake comes with a comprehensive collection of SQL commands for user and security management. These commands can only be run by users who have been given the OWNERSHIP privilege on…

Select Into Snowflake Command: Syntax and Examples Included

March 7th, 2022 By Yash Sanghvi in Data Warehousing, Snowflake

Snowflake is a Data Warehouse that uses AWS, Azure, or GCP resources in the background (you can select the cloud service provider as well as the region). It provides a…

Snowflake Query Data: 4 Important Commands

March 4th, 2022 By Nicholas Samuel in Data Warehousing, Snowflake

Snowflake Query Data makes it easy for you to use and scale Snowflake well to meet your changing storage needs. With Snowflake Query Data, you can easily add or remove…

Understanding Snowflake Scaling Policy: Automatic Concurrency Made Easy

February 9th, 2022 By Yash Sanghvi in Data Warehousing, Snowflake

Snowflake is a Software-as-a-Service (SaaS) Data Warehousing solution. It uses SQL for querying the data, and like most other warehouses, it stores data in columns instead of rows to facilitate…

6 Best Open Source Alternative to Snowflake

February 2nd, 2022 By Nicholas Samuel in Data Warehousing, Snowflake

Data Warehouses help individuals and businesses store huge volumes of data for Analytics. This helps organizations to draw meaningful insights from their data, which can improve their decision-making process. Snowflake…