Data Warehousing

Cloud Data Warehouse: A Comprehensive Guide

June 1st, 2023 By Vernon DaCosta in Data Warehousing

With the advent of modern-day cloud infrastructure, many business-critical applications like databases, ERPs, and Marketing applications have all moved to the cloud. With this, most of the business-critical data now…

Data Warehouse Best Practices: 9 Factors to Consider in 2025

January 8th, 2023 By Sarad in Data Warehousing

Data warehousing is the process of collating data from multiple sources in an organization and storing it in one place for further analysis, reporting, and business decision-making. Typically, organizations will…

9 Google BigQuery Data Types: A Comprehensive Guide

February 8th, 2022 By Bukunmi I in BigQuery, Data Warehousing

Understanding the multitude of data types provided by BigQuery and effectively mapping data from source data types to BigQuery data types can be a daunting task. These data types help…

Redshift Sort Keys: 3 Comprehensive Aspects

February 8th, 2022 By Vivek Sinha in Data Warehousing, Redshift

Amazon Redshift is a fully managed, distributed Relational Data Warehouse system. It is capable of performing queries efficiently over petabytes of data. Nowadays, Redshift has become a natural choice for…

What Is Google BigQuery? Features, Architecture & Use Cases

January 7th, 2022 By Puneet Jindal in BigQuery, Data Warehousing

Google BigQuery is a fully managed data warehouse tool. It allows scalable analysis over a petabyte of data, querying using ANSI SQL, integration with various applications, etc. To access all…

Amazon Redshift Pricing: All You Need to Know

January 3rd, 2022 By Sarad in Data Warehousing, Redshift

AWS Redshift is a pioneer in completely managed data warehouse services. With its ability to scale on-demand, a comprehensive Postgres-compatible querying engine, and multitudes of AWS tools to augment the…

Amazon Redshift Vs RDS Comparison: 9 Critical Factors

December 30th, 2021 By Suraj in Data Warehousing, Redshift, Versus

At this point in the evolution of Cloud infrastructures, every company is contemplating whether moving to a completely managed database service makes sense instead of using an on-premise database. The…

Decoding Google BigQuery Pricing

December 27th, 2021 By Bukunmi I in BigQuery, Data Warehousing

Google BigQuery is a fully managed data warehousing tool that abstracts you from any form of physical infrastructure so you can focus on tasks that matter to you. Hence, understanding…

The Need for Data Warehouse in 2025

October 6th, 2021 By Rajashree in Data Warehousing

In today's data-driven ecosystem, businesses need quick, reliable access to clean, structured data to make informed decisions. A Data Warehouse plays a pivotal role in centralizing data from multiple sources,…

Snowflake Data Warehouse 101: A Comprehensive Guide

September 15th, 2021 By Satyam Agrawal in Data Warehousing, Snowflake

Snowflake Data Warehouse delivers essential infrastructure for handling a Data Lake, and Data Warehouse needs. It can store semi-structured and structured data in one place due to its multi-clusters architecture…

Redshift INSERT INTO Statement: 3 Critical Aspects

September 30th, 2019 By Sourabh in Data Warehousing, Redshift

Amazon Redshift is a completely managed data warehouse offered as a service. Redshift works based on a cluster architecture and it allows the users to select from multiple kinds of…

Amazon Redshift Vs Athena: Compare On 7 Key Factors

September 25th, 2019 By Ankur Shrivastava in Data Warehousing, Redshift, Versus

In the Data Warehousing and Business Analysis environment, growing businesses have a rising need to deal with huge volumes of data. In cases like this, key stakeholders often debate on…

Amazon Redshift Vs DynamoDB – The Complete Comparison

September 6th, 2019 By Vivek Sinha in Data Warehousing, Redshift, Versus

Completely managed databases offered as cloud services have transformed the application design landscape to the extent that even the smallest of organizations can now enjoy scalability and reliability without being…

Amazon Redshift vs Aurora: 9 Critical Differences

August 12th, 2019 By Sourabh in Data Warehousing, Redshift, Versus

AuroraDB is a relational database engine that comes as one of the options in the AWS Relational Database as a service. Amazon Redshift, on the other hand, is another completely…

Amazon Redshift Data Types – A Detailed Overview

August 8th, 2019 By Antariksh Goyal in Data Warehousing, Redshift

This blog aims to explain the details on Redshift data types in-depth. Before we get to that, let us understand some details on Redshift first.  What is Amazon Redshift -…

Snowflake Architecture & Concepts: A Comprehensive Guide

January 18th, 2019 By Suresh H in Data Warehousing, Snowflake

This article helps focuses on an in-depth understanding of Snowflake architecture, how it stores and manages data, and its micro-partitioning concepts. By the end of this blog, you will also…

Redshift Distribution Key – Choosing Best Distribution Style

September 20th, 2018 By Vivek Sinha in Data Warehousing, Redshift

Amazon Redshift is a fully managed, distributed relational database system. It is capable of performing queries efficiently over petabytes of data. High parallel processing, columnar design, and data compression encoding…

What is Kafka Exactly Once Semantics? How to Handle It?

February 26th, 2017 By Vivek Sinha in Data Warehousing, Kafka

Apache Kafka Exactly Once semantics is something which was much talked about but never achieved. Recently, Neha Narkhede, CTO of Confluent wrote an article that introduced the holy grail of…