Welcome to The Cloud 5, our weekly feature where we scour the web searching for the five most intriguing and poignant cloud links we can find. Before we jump into this week’s links, please have a look at one of our recent blog posts, Google Cloud’s quest to surpass ad revenue may take awhile. Google’s SVP of engineering once said the company’s cloud revenue could surpass ad revenue by 2020. They aren’t even close to that goal and the numbers suggest it may never happen.
If the blockchain is going to be an immutable record, you need to start with clean data. The question is, how do you get clean data into a blockchain database to begin with. It’s kind of a quandary for use cases not starting with a green field, but Venzee, a startup that has been helping customers clean up their retail supply chain data to share with large vendors, thinks it has an answer.
Segment is a startup that helps companies collect customer data from a variety of siloed sources and place that data in a single usable record. Today, it announced it has added a new tool to prepare for the EU’s GDPR privacy guidelines, which are coming in May next year.
@colinjordan@etherington Thinking the same thing. If ever.I remember seeing a souped up 60s sports car in SF last time I was there and you could tell the driver was so frustrated because he could never open it up.
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".