Redshift uses a pay-as-you-go model which means you pay only for what you use. These security features make Redshift useful for storing sensitive information. Additionally, you can also use SSL to secure your data. Redshift can be deployed with a few clicks from the AWS console and it automatically handles the infrastructure for you.ĭata stored in Redshift can be encrypted using AWS Key Management Service(KMS) or Hardware Security Module(HSM). This can help reduce the complexities of managing an onsite data warehouse. It uses column-based data storage, compression, optimized hardware to deliver unmatched performance.ĪWS Redshift automates processes such as managing, monitoring, backing up, and scaling your data warehouse. Key Features of RedshiftĪWS Redshift is 10 times faster than most of the available data warehouse software. While loading the data, Redshift automatically samples the data and applies appropriate compression techniques to it. Column-based data involves fewer I/O thus significantly improving performance.Ĭolumular data is stored sequentially on the disk and can be compressed very easily compared to row-based data. Using Massive Parallel Processing, Redshift can run multiple queries simultaneously and very fast by making use of multiple processors running in parallel across multiple servers.Ĭolumn-based data storage is ideal for data processing and analytics since a lot of the time it involves performing aggregates over a large amount of data. Redshift is also superfast and can store petabytes of data compared to its competitors like Oracle, Teradata, Couchbase, etc. This makes Redshift compatible with regular SQL queries. Redshift is based on an older version of PostgreSQL (8.0.2). Additional nodes can be added when you need multiprocessing. When you start Redshift, It starts with a single node of 160GB. Each cluster runs its Redshift engine and can contain one or many databases. There can be up to 128 compute nodes.Įach Redshift data warehouse consists of a bunch of nodes organized a group called as Redshift cluster. The leader node aggregates the results and returns the final value to the client application. Once completed the client sends the results back to the leader node. The leader node receives queries from the user applications and then allocates the compute nodes for parallel execution of the query. It consists of only one node of size 160GB.Ī multi-node consists of several compute nodes and a leader node. Using this technique Redshift can perform operations on large data sets very quickly while also optimizing the database. It is built using a technology called Massive Parallel Processing(MPP) built by the company ParAccel(acquired by Actian) to manage large data sets and database migrations. This allows for efficient querying of data. A column-oriented database is similar to a normal database but stores data by columns rather than rows. Redshift is an Online Analytics Processing System(OLAP) and column-oriented database. Redshift is used when the data to be handled is very huge, usually petabytes and exabytes in size. What is Redshift?ĪWS Redshift is a data warehousing solution offered by Amazon Web Services. They are used for making many business intelligence decisions, analytical reporting, etc.ĭata warehousing is the storage of data from all across an organization in a single place such that the data can be queried and analyzed easily. In this article, We will take a look at AWS Redshift and understand it using a real-time example.Ī data warehouse is a central repository that stores the current and historical data.
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