Data Warehousing

15 Best Data Warehouse Tools to Explore in 2025

December 28th, 2021 By Shubhnoor Gill in Data Warehousing

Data warehousing and big data analytics may have seemed like a novel idea in the past. However, today, businesses worldwide require the most critical tools needed to cater to various…

Working with BigQuery Math Functions: Made Easy 101

December 27th, 2021 By Najam Ahmed in BigQuery, Data Warehousing

Google BigQuery has quickly become one of the most popular Serverless Data Warehouses for companies around the globe. Owned by Google Cloud, BigQuery is offered as a Platform as a…

Working with Percentile_Cont BigQuery Function Made Easy

December 23rd, 2021 By Samuel Salimon in BigQuery, Data Warehousing

Data is an increasingly valuable asset for companies, and the question of where to store it becomes more urgent. If you do not have the time or knowledge to maintain…

Building Snowflake ELT Pipeline [+8 Best Tools]

December 22nd, 2021 By Ofem Eteng in Data Warehousing, Snowflake

There is a growing need among businesses to capture relevant information from the data they produce because businesses that fail to capture data and transform it into timely and valuable…

BigQuery TRUNCATE TABLE Command Made Easy

December 21st, 2021 By Nicholas Samuel in BigQuery, Data Warehousing

BigQuery is scalable, allowing organizations to scale their storage up and down based on their changing needs. When using BigQuery, you will want to delete data from some of your…

Best Snowflake BI and Reporting Tools for 2025

December 20th, 2021 By Muhammad Faraz in Data Warehousing, Snowflake

Are you confused, between the best Snowflake BI and Reporting Tools available? If yes, then you have landed at the right place. This blog will introduce you to Snowflake and…

Snowflake Create Database Simplified 101: Usage and Examples Explained

December 20th, 2021 By Vishal Agrawal in Data Warehousing, Snowflake

Have you just started with Snowflake? Are you confused about how to create a database in Snowflake? If yes, then you are in the right place. In this blog post,…

How to Use BigQuery ALTER TABLE to Modify Your Schemas

December 17th, 2021 By Samuel Salimon in BigQuery, Data Warehousing

BigQuery allows you to analyze large datasets using SQL queries easily. BigQuery tables can be created and modified as needed to evolve with your analysis requirements. This blog post provides…

Mastering Row Number in BigQuery: Efficient Data Sequencing

December 17th, 2021 By Najam Ahmed in BigQuery, Data Warehousing

If you need a solution for analyzing nested data, BigQuery ROW_NUMBER is a fantastic choice. The BI Engine and BigQuery ML are both capable of analyzing tons of data quickly…

Redshift JSON Functions 101: Key Types, Syntax, and Example Queries Simplified

December 14th, 2021 By Yash Sanghvi in Data Warehousing, Redshift

In today’s world organizations are constantly looking for data-driven insights. However, it can be difficult to Extract, Store, and Analyze that data as it rapidly grows in scale and scope.…

How to Use BigQuery STRING_AGG Function? Explained in 3 Easy Steps

December 13th, 2021 By Hitesh Jethva in BigQuery, Data Warehousing

While you are working with a large number of values in Google BigQuery, it's generally useful to be familiar with some of the regularly used SQL aggregation functions, such as…

How to use BigQuery Lag() and Lead() Functions?

December 13th, 2021 By Syeda Famita Amber in BigQuery, Data Warehousing

Google BigQuery is a serverless Data Warehouse that allows you to analyze voluminous data. As your company grows and starts generating terabytes of complex data, and you have data stored…

How to Efficiently Work with BigQuery List Tables?

December 13th, 2021 By Hitesh Jethva in BigQuery, Data Warehousing

Google BigQuery, released in 2011, is one of the trusted Data Warehouse service providers for businesses. Over the years, Google's Cloud-based platform has helped many businesses solve large complex datasets…

What is Snowflake SQL? – Explained(with examples)

December 7th, 2021 By Shruti Garg in Data Warehousing, Snowflake

Snowflake provides support for standard SQL, including a subset of ANSI SQL:1999 and the SQL:2003 Analytic extensions. It also supports common variations for numerous commands where those variations do not…

How to Use Databricks Jobs API for Effective Job Management

November 26th, 2021 By Amit Kulkarni in Data Strategy, Data Warehousing

Building Machine Learning applications require companies to compile several tasks that are often cost-ineffective and consume more time. As a result, companies look for superior automation systems that can simplify…

Real-time Reporting with Kafka Analytics: An Easy Guide

November 25th, 2021 By Muhammad Faraz in Data Warehousing, Kafka

What is Kafka? Image Source Kafka is open-source software that provides a framework for storing, reading, and analyzing streaming data. Kafka is designed to be run in a “distributed” environment,…

Understanding Data Warehouse as a Service: 5 Critical Aspects

November 22nd, 2021 By Pratik Dwivedi in Data Warehousing

Organizations are under more pressure to save costs as they transition to data-driven value-based service models. Migrating their infrastructure to the cloud provides them with an elastic, secure, strong, and…

Snowflake Pricing Explained: Everything You Need To Know.

November 17th, 2021 By Avinash Mohanakrishnan in Data Warehousing, Snowflake

Snowflake is a leading cloud data warehousing solution many Fortune 500 companies use. While it offers powerful data management capabilities, understanding its pricing can be complex. This article breaks down…

Databricks vs Snowflake: 9 Critical Differences

November 10th, 2021 By Amit Phaujdar in Data Warehousing, Snowflake, Versus

Databricks is an Enterprise Software company that was founded by the creators of Apache Spark. It is known for combining the best of Data Lakes and Data Warehouses in a…

Azure Synapse vs Snowflake: 6 Critical Differences

November 9th, 2021 By Nicholas Samuel in Data Warehousing, Snowflake, Versus

Many organizations are moving their data to the cloud. The reason is that companies have realized the benefits of storing their data in the cloud including reduced data storage costs,…