Big Data: How to Release the Value
Enterprises are investing heavily in BI tools to deal with the deluge of Big Data, they are only capturing the tip of the iceberg, and failing to tap the full potential of their data. Fortunately, new technologies now make it possible for companies to roll out analytics enterprise-wide, with a…
Business Intelligence: How to Deploy Analytics Fast
Companies that want to rapidly deploy BI applications across the enterprise, with Big Users and Big Data, need to ensure that they have their data in the right place at the right time. By following Agile BI Methodology, using best-of-breed BI tools, and ensuring adequate database performance, enterprises can achieve…
Business Intelligence: Multiply the Value
The key to getting value from analytics is to deliver high performance to a wide audience. If the BI tool is too slow or dragged down by too many users, it becomes worthless. This is why, in the past, it was impossible to widely deploy BI – the underlying technology…
SAND: Analytic User Scale
Data warehousing applications require a database system capable of efficiently performing ad hoc queries on large amounts of data. Traditional systems designed for OLTP applications with conventional lock-based schedulers do not perform well in this environment. For a query that visits every row in a table, a lock-based scheduler must…
SAND: Analytic Database Performance
SAND’s patented analytic database technology provides the foundation for unparalleled simplicity, flexibility, and performance. SAND’s analytic engine is a highly scalable data management environment, implementing column-oriented, token-based, bit-vector data storage and processing techniques that enable astonishing SQL query performance as well as highly efficient use of standard hardware, network, and…