"Big Data Analytics" (BDA) is going to be a new buzzword for 2011. The same and new companies (and in some cases even the same people) who tried for 20+ years to use the term BI in order to sell their underused software now trying to use the new term BDA in hope to increase their sales and relevancy. Suddenly one of main reasons why BI tools are underused is a rapidly growing size of data.
Now new generation of existing tools (Teradata, Exadata, Netezza, Greenplum, PDW etc.) and of course "new" tools (can you say VoltDB, Aster Data (Teradata now!), nPario "Platform". Hadoop, MapReduce, Cassandra, R, HANA, Paradigm4, MPP appliances etc. which are all cool and hot at the same time) and companies will enable users to collect, store, access and manipulate much larger datasets (petabytes).
For users, the level of noise will be now much bigger than before (and SNR - Signal-to-Noise ratio will be lower), because BDA is solving a HUGE (massive amounts of data are everywhere, from genome to RFID to application and network logfiles to health data etc.) backend problem, while users interact with front-end and concern about trends, outliers, clusters, patterns, drilldowns and other visually intensive data phenomenas. However, SNR can be increased if BDA technologies will be used together and as supporting tools to the signal-producing tools which are ... Data Visualization tools.
Example of that can be a recent partnership between Tableau Software and Aster Data (Teradata bought Aster Data in March 2011!). I know for sure that EMC trying to partner Greenplum with most viable Data Visualizers, Microsoft will integrate its PDW with PowerPivot and Excel and I can assume of how to integrate Spotfire with BDA. Integration of Qlikview with BDA can be more difficult, since Qlikview currently can manipulate only data in own memory. In any case, I see DV tools as the main attraction and selling point for end-users and I hope BDA vendors can/will understand this simple truth and behave accordingly.