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Data Wharehousing and the Cloud
November 29, 2012 at 1:35 pm #173836
Commentary from James Hamilton’s Blog:
Data Warehousing at Scale in the Cloud
I’ve worked in or near the database engine world for more than 25 years. And, ironically, every company I’ve ever worked at has been working on a massive-scale, parallel, clustered RDBMS system. The earliest variant was IBM DB2 Parallel Edition released in the mid-90s. It’s now called the Database Partitioning Feature.
Massive, multi-node parallelism is the only way to scale a relational database system so these systems can be incredibly important. Very high-scale MapReduce systems are an excellent alternative for many workloads. But some customers and workloads want the flexibility and power of being able to run ad hoc SQL queries against petabyte sized databases. These are the workloads targeted by massive, multi-node relational database clusters and there are now many solutions out there with Oracle RAC being perhaps the most well-known but there are many others including Vertica, GreenPlum, Aster Data, ParAccel, Netezza, and Teradata.
What’s common across all these products is that big databases are very expensive. Today, that is changing with the release of Amazon Redshift. It’s a relational, column-oriented, compressed, shared nothing, fully managed, cloud hosted, data warehouse. Each node can store up to 16TB of compressed data and up to 100 nodes are supported in a single cluster.
Amazon Redshift manages all the work needed to set up, operate, and scale a data warehouse cluster, from provisioning capacity to monitoring and backing up the cluster, to applying patches and upgrades. Scaling a cluster to improve performance or increase capacity is simple and incurs no downtime. The service continuously monitors the health of the cluster and automatically replaces any component, if needed.
The core node on which the Redshift clusters are build, includes 24 disk drives with an aggregate capacity of 16TB of local storage. Each node has 16 virtual cores and 120 Gig of memory and is connected via a high speed 10Gbps, non-blocking network. This a meaty core node and Redshift supports up to 100 of these in a single cluster.
There are many pricing options available (see http://aws.amazon.com/redshift for more detail) but the most favorable comes in at only $999 per TB per year. I find it amazing to think of having the services of an enterprise scale data warehouse for under a thousand dollars by terabyte per year. And, this is a fully managed system so much of the administrative load is take care of by Amazon Web Services.
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