![]() Thus, you can connect to the client applications by using industry-standard JDBC and ODBC drivers for PostgreSQLĬlusters are one of the fundamental components in Redshift's architecture. Additionally, if you are used to writing SQL, then Redshift will be no harder to use since it is based on industry-standard Postgres, so it shares a lot of similarities with Postgres, and its query language is significantly similar to SQL. You can use Amazon Redshift with several data applications: ETLs, analytics, and business intelligence reporting tools. There are seven major components of Amazon Redshift's architecture. Contributed by Swiftkey.Amazon Redshift Overview and new software developers transition guide. Good example of using AVRO ingestion with Amazon Redshift. Use this library to load data from Amazon Redshift into an Apache Spark SQL DataFrames, and write data from Apache Spark back into Amazon Redshift. Monitor running queries, WLM queues, and your tables/schemas with this user-friendly tool. Download here »ĮverythingMe's Amazon Redshift Admin Dashboard. Features include a schema browser, improved scheduling, autocomplete, and ability to write Python queries. A free open source data collaboration and visualization platform built to allow fast and easy access to billions of records. To make development easier, Periscope has built a framework for managing and testing UDFs. Download here »įramework for developing UDFs. Read this blog post for more information. Use Yelp's Mycroft to automatically load data into Amazon Redshift. A collection of helpful UDFs for everyone to use.
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