<p>It all sounds Greek to me. :)</p>
<p>I hadn’t heard of Oracle Exalytics before but it sounds like the TimesTen stuff. I have a friend that works on TimesTen. I’ll have to ask him about it. Is this the Exadata HCC stuff or something else on the column store?</p>
<p>I hadn’t heard about SAP’s offering. I had a quick read of the history - fairly interesting.</p>
<br>
<br>
<p>This is lower-level stuff. I think that the actual analysis is above the levels that we’re talking about.</p>
<p>We have our own proprietary database written in non commercial programming language.</p>
<p>gman - We are implementing SAP HANA for their business warehouse. It is a very very expensive proposition hardware wise. We are hoping the the speed of reporting will be a big enough trade off.</p>
<p>SAP started with Business Warehouse on HANA, to make their reporting faster. Now they have ERP and CRM on HANA, to make the transactional system faster, and eliminate need (and cost) for separate relational database. That would be huge if it catches on. </p>
<p>But the concept applies to data crunching, the topic of this thread, whether you use SAP or another tool. The newer technology allows a lot more things possible in world of big data crunching, that couldn’t be done before. For example, pharmaceutical drugs can be tested in weeks, using math simulations, rather than months using clinical trials…</p>
<br>
<br>
<p>So HANA is in-memory and not column-store but they have the column-store table type?</p>
<br>
<br>
<p>Do you have a paper on this? I’m pretty curious to see what kinds of math simulations can replicate clinical trials. Do the math simulations include genomic analysis?</p>
<p>“Now they have ERP and CRM on HANA, to make the transactional system faster, and eliminate need (and cost) for separate relational database.”</p>
<p>The main push at this time is BW and APO where processing seems to be taking forever. People don’t want to wait for planning runs for several hours in APO.</p>
<p>I attended a conference recently were the CIO of a large pharma described how drug testing could be proven out with mathmatical models now. This would bring drugs to market much faster and cheaper, or get to failure faster, which also reduces cost. I’m not a pharma guru, and didn’t really understand how the models could replace trials, but its a good example of big data crunching enabling things that were formerly not possible.</p>
<p>Yep, if SAP can get APO running on HANA a lot of F500 supply chain planners would be happy. I think this is out now, or soon. Then you could re-run the plan quickly multuple times using different assumptions, and make better business decisions. Same with MRP and other processing bottlenecks.</p>
<p>I’m not aware that the state of computational biology and computational chemistry are at a place to replace trials with math. I wonder if he’s talking about similar drugs where they can model a slightly modified drug based on what they found with the original drug.</p>
<p>I tried finding something about this using Google but all that I came up with is using mathematical modeling to enhance clinical trials.</p>
<p>Emeraldkity: “A friend has a Ph.d in stats. But he gets quite hyperbolic about calculus.”</p>
<p>However, it wasn’t “integral” to his job.:)</p>
<p>“I’m not aware that the state of computational biology and computational chemistry are at a place to replace trials with math.”</p>
<p>Certainly not, but they are definitely in a place to dictate which trials are done. Big data tools make a big difference.</p>
<br>
<br>
<p>All of the stuff that I’ve seen say that data can improve clinical trials. I’ve never seen anything to indicate that it can replace clinical trials which is what has been claimed by the CEO. This is why I’d love to see a paper.</p>
<p>On original topic…I’m a long ago Stat major and spent my career designing surveys and other data collection activities, which I loved, but often thought if I had it to do over again I’d like to have developed tools for analyzing educational data–which has come into its own as a hot topic. More recently, I’ve found the data-mining opportunities in Big Data fascinating. D is in grad school studying survey methodology–design and analysis. She got summer internship offers from the first two places she interviewed…one doing Big Data, one doing Health data research. A stat background provides both analytical tools and experience with large statistical packages that seem to be in demand.</p>
<p>smdur - is survey methodology under statistics? Marketing departments do statistical surveys.</p>
<p>Beagle, you need to learn how to quote on this forums…it’s very hard to read your posts.</p>
<p>IMO, the introduction of AP statistics in high school has probably had a positive effect on the number of statistics majors. I know kids from my high school who are majoring in Stat because we had such a great high school course. Our teacher encouraged us to check out fields besides engineering ( since the pay is not so great ). We spent a lot of time looking at the financial connections to statistics. I don’t think anyone had a clue what statistics was ( so would have never thought of majoring in it) before we took the class ( even though several of us already took AP Calc.</p>
<p>texas…D’s program is specifically survey methodology. There are various tracks within it…general design, health, and marketing for sure. There are 3 or 4 such grad programs in the country, as well as several stat departments that have some sort of special concentration or sub-program for surveys.</p>
<p>I’m in a Data Mining/Data Analytics program as part of my master’s program. My university also offers an MBA track in Business Analytics. The institute has a mix of Statistics and MIS (Management Information Systems) faculty and is celebrating its 10th anniversary this year. the name of the field depends on whom you’re talking to.</p>
<p>Unlike MIS, there is a lot less programming in the sense that many students don’t know C++/Java/Python. Classes tend to be more applied and teach both SAS and SQL. I’m taking additional classes to learn more about data warehousing and R.</p>
<p>Overall, Data Analytics is a very interesting field with a lot of new job opportunities. While analytics used to be the domain of consulting companies, a few large banks, Amazon, Walmart, and Las Vegas casinos, it’s expanding to almost every industry. When starting an analytics department, many companies will hire at a senior level, often from companies that tend to hire more students straight out of college. Depending on the company, Analytics is often considered to be part of either the Finance or IT departments.</p>
<p>We have analytics teams at work and teams that specify in data analysis.</p>
<p>What college do you attend? I haven’t seen any MBA programs with concentrations in that.</p>
<p>Sent from my DROID BIONIC using CC</p>
<p>SeaTide - Analytics is also big in Marketing departments these days.</p>