There are two ways standards typically occur. The first is top-down, where some group decides to build a standard intended to fix some problem out there. The second is bottom up, like JSON, where everyone just starts using something and eventually the foggy edges are confined on paper with a standard. It can be, however, that the threat of the first spurs the creation of the second.
Oracle is plotting a turnaround. More accurately, the company began swinging the helm far to the open waters about two years ago, and we’ve been seeing the results ever since. That’s when the company purchased StackEngine, an Austin, Texas-based container management and orchestration company. It was that DNA, said Bob Quillin, vice president of the Oracle Container Group and former StackEngine CEO, that formed the core of the cloud-based, lock-in avoiding Oracle we see presented before us today.
The open source Apache Flink stream processing framework has been gaining interest and, naturally, as an enterprise-focused software project, Flink is starting to gain commercial support and products. The company that has picked up the Flink banner and run the farthest with it thus far is dataArtisans. The company’s dA Platform 2 platform arrived this week as an early private beta, bringing with it new tools for managing and monitoring Flink applications in production.
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 Obama AND Romney or Obama + Romney.
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, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
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".