Fully Managed, Petabyte-scale, Cloud-based Data Warehouse - Redshift
Amazon Redshift
The amount of data that has to be saved, managed, and evaluated grows exponentially as an organization expands. Queries will take longer in typical database warehouses, making data management more difficult. With the growth of cloud computing, enterprises have realized the need for scalable warehousing solutions to meet rising data storage and analytics demands, pushing them to look for alternatives to traditional on-premises storage.
In this guide, we'll look at Amazon Redshift, one of the most popular data warehouses.
What is Amazon Redshift?
Amazon Redshift is a fully managed, petabyte-scale, cloud-based data warehouse product designed for large-scale dataset storage and analysis. It is also used to perform large-scale database migrations. Amazon Redshift helps you predict your costs by providing all of them at a price performance that is up to three times better than other cloud data warehouses from the start.
Key Features of Amazon Redshift
? Performance: When it comes to queries that are run often in Amazon Redshift, the succeeding queries are typically processed faster. Because Redshift spends a major proportion of the execution plan optimizing the query, this is the case. Amazon Redshift's design enables massively parallel processing across numerous nodes, significantly lowering load times.
? Scaling: Amazon Redshift can grow fast, allowing users to modify the size of their clusters based on their peak workload periods. Redshift allows you to restore data from a snapshot and start a cluster.
? Pricing: The cost of Amazon Redshift is determined on the number of hours you use it. As a result, you may keep your costs down by just spinning up clusters when they're needed. You may start at $0.25 per hour and work your way up depending on your demands.
? ETL: To load data into Redshift, use the COPY command. AWS Glue and AWS Data Pipeline are tools provided by Amazon that make ETL simple. These are suitable for use with AWS services.
Some Customers of Amazon Redshift
Megellan RX, Nasdaq, Voo, Dolar Shave club, GE, Zynga.
How does Amazon Redshift benefit companies?
? Zynga: Zynga is the creator of some of the most popular social games in the world. Zynga doubled its extract, transform, and load (ETL) performance by transferring its data warehouse to Amazon Redshift. The warehouse can readily handle the 5.3 TB of gaming data generated per day.
? Megellan RX: Magellan Rx is a next-generation pharmacy that provides significant solutions to the communities it serves. Amazon Redshift, a fully managed petabyte-scale data warehouse service in the cloud, currently holds the organization's data. Magellan Rx lowered operating expenses, shortened extract, transform, and load (ETL) times, and expanded operations by using AWS services.
Limitations of Using Amazon Redshift
? Doesn’t enforce uniqueness: In Redshift, there is no method to make entered data unique. As a result, if you have a distributed system that publishes data to Redshift, you'll have to address uniqueness yourself, either at the application layer or through data deduplication.
? Only S3, DynamoDB, and Amazon EMR support for parallel upload: Redshift can load data from Amazon S3 or DynamoDB utilizing Massively Parallel Processing. To load data into Redshift from any other sources, you'll need to utilize JDBC inserts or scripts.
? Requires a good understanding of Sort and Dist keys: How data is stored and indexed across all Redshift nodes is determined by distribution keys and sort keys. A table can only have one distribution key, and it cannot be modified afterwards. This implies that before selecting on Dist key, you must consider carefully and predict future workloads.
? Can’t be used as a live app database: To deliver Redshift data to web apps, you'll need to pull data into a cache layer or a plain Postgres instance. When running queries on large amounts of data, it's lightning fast, but it's not as quick for real-time analysis and reporting.
? Data on Cloud: Though it is a beneficial thing for most individuals, it may be a source of concern in specific situations. If you are concerned about data privacy or if your data contains highly sensitive information, you may not feel comfortable storing it on the cloud.
FAQ
What is Amazon Redshift Serverless(preview)?
Amazon Redshift Serverless (preview) is a serverless Amazon Redshift alternative that allows you to perform and scale analytics in seconds without having to set up and manage data warehouse infrastructure. By simply loading and querying data in the data warehouse, any user may gain insights from data.
How does Amazon Redshift keep my data secure?
With built-in AWS IAM integration, identity federation for single-sign on (SSO), and multi-factor authentication, Amazon Redshift provides industry-leading security. Using industry-standard encryption techniques, Amazon Redshift encrypts and secures your data in transit and at rest.
What is Amazon Redshift data sharing?
You may exchange and query live data across your business, accounts, and even Regions using Amazon Redshift. Data sharing refers to the ability to safely and conveniently share read-only data with other Redshift clusters inside and between Amazon Redshift accounts, as well as with AWS analytic services via the data lake.
Co-author : Elif Nurber KARAKAS
Reference
https://aws.amazon.com/tr/redshift/
https://www.sumologic.com/blog/what-is-amazon-redshift/
https://hevodata.com/blog/amazon-redshift-pros-and-cons/
https://aws.amazon.com/tr/solutions/case-studies/zynga-video-case-study/: