Data Warehousing

6 Critical Differences Between Amazon Redshift vs Azure Synapse

April 26th, 2023 By Amulya Reddy in Data Warehousing, Redshift, Versus

For many years, data warehouses have been crucial for enterprise analytics and reporting. However, traditional data warehouses were not designed to cope with the rapid growth of data. As a…

Best Redshift Reporting Tools for 2025

March 25th, 2023 By Syeda Famita Amber in Data Warehousing, Redshift

Amazon Redshift is one of the most renowned data Warehouses on the market that provides great functionality and efficiency. It stores large amounts of raw data that is extracted from…

dbt Incremental BigQuery: How to Optimize Data Transformations

February 28th, 2023 By Manjiri Gaikwad in BigQuery, Data Warehousing

It is essential to keep track of the modifications in data at the source to create a single source of truth with centralization. However, updating and adding data to the…

3 Easy Steps to Create an Incremental Model Using Dbt Snowflake

February 27th, 2023 By Manjiri Gaikwad in Data Warehousing, Snowflake

Digital events are a significant source of information for organizations to understand their customers better. Businesses, from e-commerce to SaaS and healthcare, use events from digital interactions to obtain unique…

Best Snowflake IDE and Query Editors to use in 2025

January 12th, 2023 By Orina Mark in Data Warehousing, Snowflake

Snowflake has positioned itself as a top-tier data warehousing platform synonymous with successful companies all over the globe. With high-level data warehousing functionality, companies can analyze historical data and draw…

Best Kafka Connectors in 2025

January 10th, 2023 By Raj Verma in Data Warehousing, Kafka

Kafka Connect is basically a set of connectors that allow you to get data from an external Database straight into Kafka, and to put your data from Kafka into any…

Best Google BigQuery Public Datasets for 2025: 5 Useful Datasets

January 8th, 2023 By Orina Mark in BigQuery, Data Warehousing

It is no secret that data is precious, but Big Data is even better. With big data, you get a broader scope of research, which ultimately goes a great way…

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…

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…