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3 keys to kickstarting SAP HANA In-Memory Computing

On April 20, 2011, Posted by , In Andy Bayliss, With No Comments

Considering the new SAP HANA (High-Performance Analytic Appliance), in-memory computing platform to improve your database performance and wondering how to get it implemented faster and with lower total cost? here’s what you need to do: 1. **Understand the licensing**. The licensing of the new HANA database is based on data…

Angry Databases

On April 19, 2011, Posted by , In Mike Pilcher, With No Comments

Data warehouses consume data at an alarming rate, getting larger, fatter, greedier, and slower with each passing day. They hide themselves behind impenetrable walls of batch loads, data cleansing, index building, and data augmentation. And there they sit, chortling like an appliance salesperson, content that, no matter how many nodes…

SAND Technology Announces SAND v2 for SAS

On April 13, 2011, Posted by , In Press, With No Comments

###Extending Functionality for Rapid, Cost-Effective Storage and Immediate Access for Large Volumes of SAS Data Montreal, Canada – April 13, 2011 SAND Technology Inc. (OTCBB: SNDTF.OB), today announced the immediate availability of the second version of SAND native connector for SAS®. Based on SAND Analytics’ patented column database technology, SAND…

The demand for Big Data

On April 6, 2011, Posted by , In Industry News, With No Comments

Deborah Gage, writing for the Wall Street Journal on how *The Big Data Revolution Will Affect Us From Head To Toe*, based on a conversation with John Webster, storage analyst at the Evaluator Group, at SNW Spring 2011 >”Big data is about getting creative – it’s about leveraging the technology,…

SAND announces multi-dimensional reality alteration in-database analytics

On April 1, 2011, Posted by , In Mike Pilcher, With No Comments

April 1st, 2011 — SAND today announced the general availability of SAND multi-dimensional reality alteration in-database analytics. Legacy technologies have tried to alter reality for years but SAND has taken this concept to a new level. Using the works of Tom Weiler of Vanderbilt University SAND’s multi-dimensional reality alteration analytic…

Old cars and data warehouses

On March 24, 2011, Posted by , In Mike Pilcher, By , With No Comments

I read a post the other day involving two people arguing about which one of their boxes was better. Teradata this. Exadata that. They spent all their time “working” on their system so they had a lot of ammunition for their argument. I suppose if you want to spend your…

If Larry ran Apple and Oracle made iPads…?

On March 22, 2011, Posted by , In Mike Pilcher, With No Comments

Apple looks like they have another hit on their hands with iPad 2 and if reports of their enterprise adoption rates are accurate, we’ll only be seeing more of them in business. Now, perhaps, we see why Steve Jobs called it the most important product he’d ever worked on. But…

Extreme Data Velocity

On March 17, 2011, Posted by , In Mike Pilcher, With No Comments

extreme data varieties ranging from ERP to Social Media feeds and the associated explosion in the extreme data volumes is of increasing concern to the enterprise. How fast the data enters the enterprise and how fast it is accessed by users is critical to the equation. Legacy vendors have not…

The column database singles circuit

On March 12, 2011, Posted by , In Industry News, By , With No Comments

Derrik Harris, writing for Giga Om on *Why ParAccel’s Time on the Big Data Singles Circuit Won’t Be Long*: >Greenplum, Netezza, Vertica, Aster Data Systems — one by one, they all got bought, leaving ParAccel standing all but alone as an independent company dedicated to the cause of analyzing big…

Extreme Data Volume

On February 24, 2011, Posted by , In Mike Pilcher, With No Comments

Tabular data from ERP, CRM, SCM and operational systems was just the beginning. Now we have web logs, application logs, social media, mobile, tablets, NFC, appliance, machine data, sentiment, context and many other extreme varieties of data. These have caused data volumes to increase exponentially. If enterprises attempt to treat…