Apache Spark vs Redshift 101: Which is Best for Big Data? January 12th, 2022 By Manisha Jena in Data Warehousing, Redshift, Versus Apache Spark has especially been a popular choice among developers as it allows them to build applications in various languages such as Java, Scala, Python, and R. Whereas, Amazon Redshift…
Creating external schemas for Amazon Redshift January 10th, 2022 By Davor DSouza in Data Warehousing, Redshift One of the most common issues is Redshift create external schema. This can be complex, combining data from different sources and catalogs. However, after reading this article, you will be…
Redshift PIVOT & UNPIVOT: The Ultimate How-to Guide [Practical Examples] January 7th, 2022 By Yash Arora in Data Warehousing, Redshift Redshift PIVOT and UNPIVOT are two separate manifestations of the same relationship/relational operator. In order to achieve the desired dataset the two operators — Redshift PIVOT and UNPIVOT — convert…
Working with Federated Query Redshift: 4 Easy Steps January 7th, 2022 By Isola Saheed Ganiyu in Data Warehousing, Redshift The purpose of this tutorial is to show you how to run Federated Query Redshift. You may already know how to run queries on Amazon Redshift by loading your data…
Working with Boto3 Redshift SDK: Made Easy December 30th, 2021 By Yash Sanghvi in Data Warehousing, Redshift Big Data storage solutions like Amazon Redshift can be used for a variety of purposes. Amazon Redshift can help businesses accelerate their business operations and analytics through simple SQL operations.…
Amazon EMR vs Redshift: 5 Critical Comparisons December 30th, 2021 By Vishal Agrawal in Data Warehousing, Redshift, Versus Amazon EMR (Elastic MapReduce) is a tool from the Amazon Web Services stack that is used for big data processing and analysis. Amazon EMR provides an expandable and scalable solution…
Amazon Redshift Copy Table: 3 Easy Methods December 29th, 2021 By Vishal Agrawal in Data Warehousing, Redshift Companies widely use Data Warehouses to run their business operations efficiently and use data-driven business strategies to increase their revenue. Amazon Redshift is one of the majorly used Cloud Data…
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 can be challenging, especially when deciding which tools to use, given the wide array of choices available. In today's data-driven world, organizations seek ways to efficiently…
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…
What is Redshift NULLIF command and How to Use It? 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 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…
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.…