Posts by Martin Magdinier

In case you missed our webinar with Macro on September 10, 2020, you can find here the recording and the slides.

Learn more about the Data Innovation Canvas from Communitech.

Watch Chris Willsher, Director of Data Platforms at Communitech, presents the canvas during the May 8th Communitech® Data Hub Sessions. The video starts at 41:25

Data extraction projects are complex and often require quite a lot of time and effort. To make sure your organization is creating value and that your money and your time are well spent, the first logical step is to choose your sources carefully. To help you achieve just that, we create a list of 10 questions you need to ask before you set your sights on a dataset. The goal here is to collect and analyze all the data existing information in order to clarify its ownership, publication, structure, content, quality, relationship, etc. Only by going through this process can you guarantee the suitability of your sources and identify potential problems and particularities.

Our team here at RefinePro has a deep experience doing research and development in data processing and automation. And PDF extraction is one of the many services we offer.

Data extraction is now one of the most efficient ways for companies to stay up to date with current events and trends, but also to position themselves in their field. But for a lot of small entrepreneurs and even larger companies, the implementation of data extraction projects presents new challenges: How should these processes be implemented, and by whom?

Extracting, transforming, and loading (ETL) data is a complex process at the center of most organizations’ data extraction projects. As we saw in our article on web scraping and ETL, the implementation of an ETL workflow is a process that requires a lot of in-depth knowledge in several subfields of statistics and programming.

Is web scraping easy? No. Is it Profitable? It can with a great scheduling, monitoring, and maintenance plan. Learn how!

Your Python skills are not too bad, and it’s not your first time dealing with tech. In fact, technology is part of your daily life. You see the world goes around, and you’ve heard how web scraping could help automate your business. So, you start looking for the best scrapers and web scraping tools, hoping maybe to boost your e-commerce sales.

Data Sheet for RefinePro Platform, a customizable administration center to help data science and engineering team schedule, configure and monitor data processing jobs written in any language.

Data Sheet regarding RefinePro Data Migration Services for consulting firms

Download our cheat sheet of what to keep in mind when using external or third party data

Following recent discussions with several OpenRefine community members, I realized that there were some confusions and misunderstanding regarding RefinePro intentions regarding the OpenRefine project.

Starting today, we are sunsetting RefinePro’s OpenRefine hosting. We are not accepting new registration and new subscriptions. Existing users can continue to access the service until the end of their subscription or trial phase.

In September 2015, we submitted the following application to the Knight News Challenge: How might we make data work for individuals and communities? We are cross posting it here for archive. You can also consult it directly on the Knight Challenge website.

Stefan Urbanek when laying the foundation for the school of data program at the Open Knowledge, presented the following Data Processing Pipeline going from:

The main motivation behind RefinePro is being able to commit developer time to OpenRefine (since I am not a developer myself) and have the project leave its stagnant stage. RefinePro motivation isn’t to make millions or get some prestige by stealing other people work – there is faster and less risky way to do that than creating a start-up on a niche market.

In the two articles of this series of three we have seen how corporations leverage Open Source Software (OSS) to build new solution and how an open source strategy foster in-house and community based innovation. It is a new world for software development and related business-building strategies, a world where even enterprise software projects leverage open source components for their foundation. The freedom to extend or even fork the project to explore new options can lead to unexpected innovation and usage, when done right. Open licenses mean that contributors – including yourself – have no restrictions on tweaking code and tailoring it to match requirements or customizing it to specific needs within an organization or industry. However to ensure continuity and sustainability of the project, the community now need to scale, gain the critical size and drive broad adoption.

In the first article of this series of three on open source strategy, we seen how Open Source Software (OSS) is now part of corporations strategy and the benefit of building an ecosystems. By sharing your code and vision openly you enable other expand your solution, adapt to their specific environment. It is not rare to see unexpected innovation sparking in this process. In this article we will see the steps to create such innovation friendly environment and take example the OpenRefine community.

In its 2014 annual survey on the Future of Open Source, Black Duck indicated that 56 percent of corporations expected to contribute to open source software solutions, more than ever before. Most of those companies were already using open source software internally, but wanted to go a step further and contribute back through comments, bug reports, or by subsidizing developer time.

The last five weeks have been full of learning and surprises (good and bad). We have a better understanding on how Refine is used and how it behaves with different browsers and data set sizes. Some things worked as expected, other completely broke. This post highlights the coming technical points we plan to address to improve RefinePro.

It all started in June 2011 when we opened OpenRefine Tips and Recipes blog. Over the last three years we documented Google Refine and then OpenRefine functionality with concrete examples and screenshots and listed the best materials written by others. It started as a personal notebook and grew into a knowledge base of over 110 articles coverings more than 80 topics.

We are extremely happy to announce that RefinePro has signed a partnership with the Data Scientist Training for Librarians (DST4L) allowing all librarians who take the course to have access to the RefinePro platform for the next eight months (until June 2015). Through their RefinePro accounts, they will have access to their projects from multiple computers and be able to work on the latest version of OpenRefine.

Over the last five years, OpenRefine has built a robust platform, to which many developers have contributed plugins and extensions useful for their own audiences. That list of plugins and reconciliation services grows month after month, demonstrating that the community is active and thriving, with a healthy and expanding user base.

One of the big news in the industry this month was CrowdFlower raising $12.5 million in funding to support its growth. CrowdFlower is like a souped up Amazon Mechanical Turk with a very nice API and well-thought-out back end for job editors. I couldn’t agree more when Mark Sullivan say:

Less than two weeks ago we announced the start up of RefinePro as a new participant of the OpenRefine ecosystem. This post provides background on where we come from and how we see the position of RefinePro within OpenRefine community.