Data Warehousing

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.…

BigQuery Time Travel: How to access Historical Data? | Easy Steps

March 21st, 2022 By Ishwarya M in BigQuery, Data Warehousing

BigQuery is one of the most popular and highly efficient analytics platforms that allow you to store, process, and analyze Big Data. In addition, BigQuery can process over 100 trillion…

How To Work With Confluent, Avro & Kafka Schema Registry

March 16th, 2022 By Ishwarya M in Data Warehousing, Kafka

Trillions of data are being handled and streamed through Kafka servers per day. However, Kafka servers only store and organize data received from producers and are not responsible for evaluating…

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,…

BigQuery IAM Management 101: Defining Permissions & Access Controls Simplified

March 15th, 2022 By Samuel Salimon in BigQuery, Data Warehousing

All of us have heard and seen about Data Breaches and the damage they can cause, both financially and reputationally. As more and more of our decisions are based on…

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…

How does Redshift Schedule Query Work: Easy Explanation

March 11th, 2022 By Ofem Eteng in Data Warehousing, Redshift

Automating tasks in data analysis can save time and improve productivity, especially when managing routine operations. With Amazon Redshift’s Data API and EventBridge, Redshift Schedule Query becomes straightforward, helping you…

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…

BigQuery Analysis: A Complete Guide to Exploratory Data Insights

March 9th, 2022 By Roxana Raducanu in BigQuery, Data Warehousing

Exploratory Data Analysis (EDA), also known as Data Exploration, is an approach for the Data Analysis Process that employs various techniques to better understand the data we have. EDA typically…

BigQuery Save Query: How to Save & Share Queries Simplified 101

March 9th, 2022 By Vishal Agrawal in BigQuery, Data Warehousing

Venturing into Data Science and deciding on a tool to use to solve a given problem can be challenging at times especially when you have a wide array of choices.…

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…

Critical Kafka Producer Config Parameters Simplified

March 3rd, 2022 By Raj Verma in Data Warehousing, Kafka

Organizations today have access to a wide stream of data. Apache Kafka, a popular Data Processing Service is used by over 30% of Fortune 500 companies to develop real-time data…

IBM MQ vs Kafka: 5 Critical Differences

February 25th, 2022 By Shravani Kharat in Data Warehousing, Kafka, Versus

Today, large volumes of data are transmitted as messages between applications, systems, and services. In case an application isn't ready, or a service failure occurs, messages and transactions may be…