BigQuery Timestamp Functions: Syntax & Example Queries Simplified 101 September 15th, 2021 By Manisha Jena in BigQuery, Data Warehousing Data Warehousing architectures have rapidly changed over the years, and most of the notable service providers are now Cloud-based. Therefore, companies are increasingly moving to align with such offerings on…
BigQuery Date Functions 101: Key Syntax and Usage Simplified September 14th, 2021 By Rakesh Tiwari in BigQuery, Data Warehousing 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.…
Understanding Amazon Redshift Window Functions: Made Easy 101 September 14th, 2021 By Ofem Eteng in Data Warehousing, Redshift There is a surge in data generation by organizations, and this growth has been exponential, therefore, giving rise to technologies and pathways in which this data could be harnessed for…
BigQuery String Functions 101: Syntax and Usage Simplified September 13th, 2021 By Rakesh Tiwari in BigQuery, Data Warehousing Today, companies generate, store and manage huge volumes of data. Storing and querying such volumes of data can be costly and time-consuming, especially for an organization that doesn’t have the…
DATE_ADD function in BigQuery – Syntax and Queries September 9th, 2021 By Pratik Dwivedi in BigQuery, Data Warehousing BigQuery offers a wide range of functionality to help you get the most out of date and time data. But sometimes, it can be tiring to understand some of its…
Google’s Bigtable vs BigQuery: Key Differences Simplified 101 September 9th, 2021 By Muhammad Faraz in BigQuery, Data Warehousing, Versus BigQuery and Bigtable are the two most powerful tools in Google Cloud for handling large datasets with ease. While both handle large volumes of data, They serve different purposes. Bigtable…
Google BigQuery CONCAT: 4 Critical Aspects September 9th, 2021 By Isola Saheed Ganiyu in BigQuery, Data Warehousing Today, there are a lot of Database software tools on the internet. Unfortunately, most of them are designed to process small-size data. If you try to analyze complex data on…
Specifying BigQuery Schema Simplified: 3 Simple Ways September 8th, 2021 By Hitesh Jethva in BigQuery, Data Warehousing Business organizations receive data from various resources, they generate petabytes of data on a regular basis. With traditional databases, it is difficult to keep track of this data and even…
Google BigQuery Temporary Tables: 3 Comprehensive Aspects September 8th, 2021 By Syeda Famita Amber in BigQuery, Data Warehousing More and more organizations are looking to unlock business insights from the data. However, it can be difficult to ingest, store, and analyze that data as it rapidly grows in…
Amazon Redshift Parquet: 2 Easy Methods September 3rd, 2021 By Karan Singh Pokhariya in Data Warehousing, Redshift Scanning a lot of data is easy but not necessarily quick. In this dynamic and ever-growing world, it is a necessity for every business to scan and analyze their data…
Understanding Amazon Redshift Timestamps: 5 Comprehensive Types September 2nd, 2021 By Aditya Jadon in Data Warehousing, Redshift Enterprises need to analyze their data to make data-driven decisions. A huge volume of data flowing in real-time needs to be handled and Data Analysts need to perform queries as…
Redshift Concat Functions 101: Syntax and Usage Simplified September 2nd, 2021 By Rakesh Tiwari in Data Warehousing, Redshift Amazon Redshift is one of the prominent names in the field of Cloud Storage Services. It offers fully managed systems that can service the data warehousing and database needs of…
Firebolt Data Warehouse Simplified 101 July 20th, 2021 By Nicholas Samuel in Data Warehousing Today, organizations generate huge volumes of data, across verticals, every day. This has led to an increased demand for Data Storage options. Cloud Storage was invented to meet this demand.…
Snowflake vs Redshift vs BigQuery: 16 Critical Differences May 31st, 2021 By Ofem Eteng in BigQuery, Data Warehousing, Redshift, Snowflake 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 vs Postgres: 5 Critical Differences May 21st, 2021 By Amit Phaujdar in Data Warehousing, Snowflake, Versus PostgreSQL is a reliable database management system with a keen focus on SQL compliance and extensibility. PostgreSQL is well suited for various industries and use cases such as web apps,…
Snowflake vs Oracle: Key Differences 2025 May 12th, 2021 By Pratik Dwivedi in Data Warehousing, Snowflake, Versus With data requirements growing at the speed of light, the ability to not only manipulate data in real-time but also scale along with it is a must-have for most organizations…
SQL Server for Data Warehouse: Easy Steps Simplified March 10th, 2021 By Nicholas Samuel in Data Warehousing Today, enterprises generate huge volumes of data. Most of them have learned that data is an important decision-making tool, so they store every data generated from the departments. The purpose…
What is Kafka Big Data? How it works, Benefits & Applications November 16th, 2020 By Pratik Dwivedi in Data Warehousing, Kafka Today, huge amounts of data are being generated by multiple devices, live streams, and systems every second, and more and more devices are connecting to the internet daily. The first need…
Apache Kafka Logs: A Comprehensive Guide November 6th, 2020 By Aman Sharma in Data Warehousing, Kafka Apache Kafka is a popular platform that is widely in use today, not only for messaging & communication but also for various other avenues. While its real-time streaming functionalities are…
Kafka KSQL: Streaming SQL for Kafka Made Easy November 2nd, 2020 By Aman Sharma in Data Warehousing, Kafka Many Fortune 100 brands such as Twitter, LinkedIn, Airbnb, and several others have been using Apache Kafka for multiple projects and communications. This sudden credibility shift to Kafka sure makes…