So on 15th April 2014 Microsoft announced, albeit quietly that the PDW, Parallel Data Warehouse was being renamed to APS, Analytics Platform System. For me it was sad as I really liked the name PDW, it rolled off the tongue and in true Ronseal style, did what it said on the tin. However I can fully understand the re-branding as the market for BI is changing. I do not feel that BI is dead and Big Data is it’s replacement but I do feel there is a change in requirements from the business and traditional BI alone doesn’t meet these new requirements. These newer requirements include the ability to get data insight faster, regularly adding new data sources and the ability to link insights from the warehouse to big data (unstructured data sources). There is also a need from the business for proper analytics, yes Excel is still key but customers need more. Self service BI is required so analysts can do their job of analysing and presenting insight rather than spending 90% of their time preparing data. Mobile BI for delivering those important dashboards and reports into the hands of the decision makers, who, unfortunately use iPads!
There is an argument that the current Microsoft BI stack already caters for this. Apply SMP SQL in 2012/14 guise (with Columnstore, partitioning) with SSAS (cubes, tabular models), Power BI (with advanced visualisations and HTML5 support, sort of) and an agile development approach to the project and et voila! And for a lot of customers this is great, in fact I think this is the most all-round complete Microsoft BI stack since the birth of SSAS. But for others it doesn’t offer them the ability to manage VERY large/wide data sets or the confidence that it can cope with expected growth and acquisitions. Hardware costs spiral and if you have to go down the route of scale out the licensing costs also start to make this prohibitive. Then for big data you are looking at a second solution, Hadoop, HDInsight, Cloudera for example. Bringing both sources together can still be achieved by using Power Query and Power Pivot and then you could productionise this using Tabular models, however that is still a stretch and needs you to add at least some structure to the big data side.
To help with this Microsoft released AU1 for the PDW but realised that with this release the PDW was now not just a parallel data warehouse it was more than this and, inline with the market movements that it was more about general analytics not just datawarehousing. Being an appliance then this is really a platform and a high performance, scalable analytics platform. Hence the not so nice anacronym APS. But like ronseal it still does what it says on the tin!
Features added to the APS v1 or PDW AU1:
– HDInsight, inside the appliance
– Polybase V2
– linking to the HDInsight area of the appliance (using pushdown)
– HDInsight in Azure (no push down)
– Integrated user authentication through Active Directory
– Transparent data encryption
– Seamless scale out capabilities