Category: Big Data

How Alternative Data is Reshaping Finance

Posted on May 24, 2018 by

According to a report recently featured on the Financial Times (PDF), hedge funds are expected to spend upwards of $600m on digital datasets this year, and up to $1bn by 2020. What’s going on? Why are investment firms hoarding all this data, and what types of data are piquing their interest in particular? Read on

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3 Predictions for Web Data in 2018

Posted on December 12, 2017 by

2017 was a turbulent year: With Donald Trump shaking up the American political system, cryptocurrencies causing riptides throughout financial markets, and advancements in artificial intelligence sparking both anticipation and anxiety in the scientific world, the passing year seems to have been dominated by a sense of uncertainty and a sea change waiting to happen at

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3 Ways to Use eCommerce Product Data for Market Research

Posted on September 14, 2017 by

The web is an invaluable source of data when it comes to competitive intelligence, research and creating a go-to-market strategy. A simple Google search will reveal incredible amounts of public information about your main competitors, and connect you to mounds of existing research, financial analysis and other information that could be pertinent to your next

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How to Extract Data from Websites: Scraping Tools, DIY or DaaS

Posted on September 7, 2017 by

This is part 2 of our guide to web data extraction. Read part 1 to learn about the questions to ask before you start, or download the complete Web Data Extraction Playbook (PDF). Now that you’ve covered both the business and technical requirements for your web data extraction project (and if you haven’t, check out

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Web Data Extraction Guide: 11 Questions to Ask

Posted on August 31, 2017 by

The following is an excerpt from our new Web Data Extraction Playbook. We’ll be publishing the second part next week, or you can grab the full guide here. The internet has become an undeniable force in our lives over the past few decades, changing everything from the way we do our shopping to the way

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What is DaaS, BDaaS, DBaaS? And Why Should You Care?

Posted on August 8, 2017 by

The proliferation of data services has created a wide range of confusing buzzwords and acronyms – but at its core DaaS is still a meaningful concept. We are living in the age of everything as a service (EaaS?). What started as the simple and fairly easy to understand concept of software as a service has,

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How to access, cite, and defend web datasets in academic research

Posted on November 24, 2016 by

We’re used to getting questions about accessing structured web data. But recently, we’ve been fielding a different kind of use case.  Researchers and scientists have been asking about data citation conventions and how to defend research citing web datasets for peer review. As you might expect, we published our answers in the new Guide to Citing Web

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Can Crawled Web Data Tell the Future?

Posted on November 14, 2016 by

Robert Tercek’s book Vaporized: Solid Strategies for Success in a Dematerialized World recently recently won GetAbastract’s 2016 International Book of the Year award at the Frankfurt Book Fair. Based in Hollywood, Robert has  spent his entire career creating interactive content and inspiring others to do the same. He was kind enough to share a few words

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Top 10 Big Data Stories Leading the Conversation

Posted on September 26, 2016 by

In the right hands, crawled web data can tell an amazing story. We were interested in the top 10 news stories – sorted by social shares on Facebook and LinkedIn. So we set up a simple news API request. We were looking for the stories published over the past 30 days returned by an exact match query for the term “big data”.  Here

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The Race to Achieve 100% Coverage of the Web

Posted on September 19, 2016 by

In our new report, we deconstruct the all-too-familiar race to achieve 100% coverage of the web. Data acquisition efforts usually rely on one of three approaches – build an internal web crawling capability, rely on data providers, or implement a combination of both. The goal is to tap into as much structured web data as

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5 Free Resources for Truly Advanced Analytics and Data Experts

Posted on January 21, 2016 by

The goal of this post is simple: to guide you into doing data analytics like a genuine pro. That means (beside the very first resource), this list is not meant for beginners. This is a guide to truly advanced analytics from the very best — and in some cases, challenging — online authorities. Even better,

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The 15 Data Experts You Should be Following on Twitter

Posted on January 14, 2016 by

Twitter is a phenomenal place not only to connect with peers in the analytics industry but also to follow and learn from its leading authorities. Unfortunately, the Twitter marketplace is crowded and trying to wade through and research exactly who’s who on your own is overwhelming Even worse is making your Twitter decisions based on

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The Top 10 Data & Analytics Articles of 2015

Posted on January 12, 2016 by

The online world of data and analytics is fast approaching epic portions. It’s easy to get overwhelmed. Why? Because, not only has big data been big business in 2015 … but posts, articles, podcasts, webinars, and resources abound. Some are worth your time. Some … are not. To help you dig through the very best

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Social Media Analytics: Insights from Structured versus Unstructured Data

Posted on December 1, 2015 by

Let’s be honest … social media is a challenge. Not only is staying current, active, and “topped off” a chore, but crafting full-scale campaigns that contribute to your business’ and brand’s actual goals can be bewildering. At the same time, the market for social-media continues to grow. According to recent data from eMarketer, “Social Network

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Ever imagined how “Big Data” looks like?

Posted on October 13, 2015 by

We have created a fun little experiment, letting you navigate in a 3D universe of real data from the open web. The data is made out of important news and blog titles, their meta-data like dates, comment count, domains and more. It’s called INSIDE BIG Data – https://webhose.io/demo/big-data

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