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.…
Fundamentals of Redshift Functions: Python UDF & SQL UDF with 2 Examples September 30th, 2021 By Muhammad Faraz in Data Warehousing, Redshift The simple and cost-effective Data Warehousing Solution, Amazon Redshift offers a collection of information for competitive and comparative analysis. With Columnar Storage Technology to improve I/O efficiency and providing parallelized…
Amazon Redshift Numeric: 3 Data Types Simplified September 27th, 2021 By Talha in Data Warehousing, Redshift Integer, Decimal and Floating-Point form three key Amazon Redshift Numeric data types. Leveraging these data types effectively while creating Amazon Redshift tables allows you to store and analyze data at…
Redshift CASE Statements: Syntax and Usage With 2 Easy Examples September 27th, 2021 By Nicholas Samuel in Data Warehousing, Redshift Redshift is a popular Cloud Service Database Provider for most Businesses. Businesses use it for the storage of their data. Redshift scales well to meet the changing storage needs of…
Redshift Temp Tables: Syntax, Commands, & Tips Simplified 101 September 22nd, 2021 By Preetipadma Khandavilli in Data Warehousing, Redshift 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.…
Redshift Cast Functions 101: Syntax and Queries Simplified September 21st, 2021 By Amit Kulkarni in Data Warehousing, Redshift Organizations accompanying traditional data warehouses not only witness storage limitations but also struggle to process the rising rate of data. However, Amazon Redshift provides a fast, reliable, and cloud-based data…
Redshift NULLIF and NULL Commands Simplified 101 September 20th, 2021 By Talha in Data Warehousing, Redshift Redshift is a completely managed Data Warehouse based on a subscription model offered by Amazon Web services. Redshift follows PostgreSQL standards for querying. It can support up to 2 Petabytes…
Understanding Amazon Redshift Regex: Simplified 101 September 17th, 2021 By Vishal Agrawal in Data Warehousing, Redshift Companies stores terabytes of data from multiple data sources into Data Warehouses and Data Lakes. The data exists in different formats and is not ready for analysis. Data Cleaning becomes…
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…
Amazon Redshift CREATE Schema Command: 2 Critical Aspects September 13th, 2021 By Ofem Eteng in Data Warehousing, Redshift The essence of having a Database is to be able to manage your data efficiently so you can easily store information, query records, and increase the overall productivity and profitability…
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 The popularity of the Cloud as a Data Storage Platform has grown manifolds as individuals and businesses have recognized the benefits of storing their data in the Cloud Storage Systems.…
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.…
Amazon Redshift JDBC Driver Connection: 4 Easy Steps October 15th, 2020 By Nicholas Samuel in Data Warehousing, Redshift Are you looking to create an Amazon Redshift JDBC (Java Database Connectivity) Driver connection? We have you covered. Amazon Redshift is a fully managed, scalable, and fast Data Warehouse used…
Amazon Redshift DATEDIFF and DATEADD Functions Simplified 101 May 26th, 2020 By Sarad Mohanan in Data Warehousing, Redshift Redshift has various types of built-in functions to perform operations on data for example: String functions to perform operations on stringsNumeric functions to perform operations on numeric dataDate functions to…