Data is the currency of business. But managing data can quickly get out of hand. A recent study by MIT found Big Data is turning into bad data and potentially costing companies up to 25% of possible revenue because having to fix bad data eats into operating expenses. But working with vast streams of messy data can be a challenge for enterprise organizations, and it's only getting tougher as more data is created and collected. That’s why data management, or data governance, is so important.
For some time now, server unit sales have been steadily dropping for the major x86 server vendors as enterprises draw down their on-premises hardware in favor of cloud services. The response from the hardware vendors is if you can’t beat ‘em, clone ‘em. Vendors are adopting a pay-as-you-go model not unlike that of a cloud provider, where you pay for how much compute time you use and hand back the hardware when you are done rather than buying it outright.
Cloud services are moving from the initial “we’re doing it because everyone else is” state to a more cautious, planned migration, one where IT departments have done a careful assessment of their needs and determined what to move to the cloud and what will stay on-premises. Getting there takes some hard lessons. A study by IDG Research found that as much as 40 percent of workloads moved off the cloud and back to an on-premises setting.
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".