Dan Kusnetzky held many roles in the market for information technologies and has helped guide several billion dollars of investment decisions. He's been a consultant, software engineer, a product manager, a product marketing manager, a marketing director an industry analyst, head of research oper...
Click to learn more about author Dan Kusnetzky. Big Data has been in the media constantly recently, but its definition and use still eludes some enterprise decision-makers. Their enterprises have invested heavily in Business Intelligence (BI) processes and applications and find themselves confused if what they have been doing will live happily under the new name “Big Data.” Much of the time, unfortunately, what they’re doing today really is different.
From time to time, Len Rosenthal, CMO of Virtual Instruments, drops by to bring me up-to-date on what his company is doing in infrastructure performance management (IPM). This time, the discussion centered on VirtualWisdom 5.4 and its abilities to provide "application-centric performance management." VirtualWisdom 5.4 Key Features VirtualWisdom was designed to address enterprise requirements to have end-to-end visibility into how enterprise workloads are performing.
We often find ourselves discussing current trends and the resulting opportunities with our clients. During a very recent strategic counsel call, we were asked to discuss "over the horizon but already in sight" opportunities with a longtime client. There are three trends we identified: the growth in use of commodity computers to create in-house, inexpensive grids; the growth of end-user devices as application-delivery tools; and the changing face of development.
I love it when I am able to speak with a support rep who really knows what he is talking about. I just spoke with Michael over at @Lunarpages about a problem. He walked me through putting things right on my server, laptops and phone.He was helpful, friendly, and knowledgeable.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".