What is Amazon Redshift?
Who uses Amazon Redshift?
Amazon Redshift Integrations
Here are some stack decisions, common use cases and reviews by companies and developers who chose Amazon Redshift in their tech stack.
please help me understand the difference in syntax between MySQL and Amazon Redshift . They have the difference or they are completely the same?
I have data stored in Amazon S3 bucket in parquet file format.
I want this data to be copied from S3 to Amazon Redshift, so I use copy commands to achieve this. But, I need to do this manually. I want to achieve this with some sort of automation such that if any new file comes into S3, it should be copied to the required table in redshift. Can you suggest what different approaches I can use?
Currently, we need to ingest the data from Amazon S3 to DB either Amazon Athena or Amazon Redshift. But the problem with the data is, it is in .PSV (pipe separated values) format and the size is also above 200 GB. The query performance of the timeout in Athena/Redshift is not up to the mark, too slow while compared to Google BigQuery. How would I optimize the performance and query result time? Can anyone please help me out?
Jobs that mention Amazon Redshift as a desired skillset
Amazon Redshift's Features
- Optimized for Data Warehousing- It uses columnar storage, data compression, and zone maps to reduce the amount of IO needed to perform queries. Redshift has a massively parallel processing (MPP) architecture, parallelizing and distributing SQL operations to take advantage of all available resources.
- Scalable- With a few clicks of the AWS Management Console or a simple API call, you can easily scale the number of nodes in your data warehouse up or down as your performance or capacity needs change.
- No Up-Front Costs- You pay only for the resources you provision. You can choose On-Demand pricing with no up-front costs or long-term commitments, or obtain significantly discounted rates with Reserved Instance pricing.
- Fault Tolerant- Amazon Redshift has multiple features that enhance the reliability of your data warehouse cluster. All data written to a node in your cluster is automatically replicated to other nodes within the cluster and all data is continuously backed up to Amazon S3.
- SQL - Amazon Redshift is a SQL data warehouse and uses industry standard ODBC and JDBC connections and Postgres drivers.
- Isolation - Amazon Redshift enables you to configure firewall rules to control network access to your data warehouse cluster.
- Encryption – With just a couple of parameter settings, you can set up Amazon Redshift to use SSL to secure data in transit and hardware-acccelerated AES-256 encryption for data at rest.<br>