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Writing on APIs for Programmable Web

I have been writing free lance on APIs for Programmable Web. Here is an updated list of the articles, many of these would be of interest to analytics users. Note- some of these are interviews and they are in bold. Note to regular readers: I keep updating this list , and at each updation bring it to the front page, then allowing the blog postings to slide it down!

Scoreoid Aims to Gamify the World Using APIs January 27th, 2014

Plot.ly’s Plot to Visualize More Data January 22nd, 2014

LumenData’s Acquisition of Algorithms.io is a Win-Win January 8th, 2014

Yactraq API Sees Huge Growth in 2013  January 6th, 2014

Scrape.it Describes a Better Way to Extract Data December 20th, 2013

Exclusive Interview: App Store Analytics API December 4th, 2013

APIs Enter 3d Printing Industry November 29th, 2013

PW Interview: José Luis Martinez of Textalytics November 6th, 2013

PW Interview Simon Chan PredictionIO November 5th, 2013

PW Interview: Scott Gimpel Founder and CEO FantasyData.com October 23rd, 2013

PW Interview Brandon Levy, cofounder and CEO of Stitch Labs October 8th, 2013

PW Interview: Jolo Balbin Co-Founder Text Teaser  September 18th, 2013

PW Interview:Bob Bickel CoFounder Redline13 July 29th, 2013

PW Interview : Brandon Wirtz CTO Stremor.com   July 4th, 2013

PW Interview: Andy Bartley, CEO Algorithms.io  June 4th, 2013

PW Interview: Francisco J Martin, CEO BigML.com 2013/05/30

PW Interview: Tal Rotbart Founder- CTO, SpringSense 2013/05/28

PW Interview: Jeh Daruwala CEO Yactraq API, Behavorial Targeting for videos 2013/05/13

PW Interview: Michael Schonfeld of Dwolla API on Innovation Meeting the Payment Web  2013/05/02

PW Interview: Stephen Balaban of Lamda Labs on the Face Recognition API  2013/04/29

PW Interview: Amber Feng, Stripe API, The Payment Web 2013/04/24

PW Interview: Greg Lamp and Austin Ogilvie of Yhat on Shipping Predictive Models via API   2013/04/22

Google Mirror API documentation is open for developers   2013/04/18

PW Interview: Ricky Robinett, Ordr.in API, Ordering Food meets API    2013/04/16

PW Interview: Jacob Perkins, Text Processing API, NLP meets API   2013/04/10

Amazon EC2 On Demand Windows Instances -Prices reduced by 20%  2013/04/08

Amazon S3 API Requests prices slashed by half  2013/04/02

PW Interview: Stuart Battersby, Chatterbox API, Machine Learning meets Social 2013/04/02

PW Interview: Karthik Ram, rOpenSci, Wrapping all science API2013/03/20

Viralheat Human Intent API- To buy or not to buy 2013/03/13

Interview Tammer Kamel CEO and Founder Quandl 2013/03/07

YHatHQ API: Calling Hosted Statistical Models 2013/03/04

Quandl API: A Wikipedia for Numerical Data 2013/02/25

Amazon Redshift API is out of limited preview and available! 2013/02/18

Windows Azure Media Services REST API 2013/02/14

Data Science Toolkit Wraps Many Data Services in One API 2013/02/11

Diving into Codeacademy’s API Lessons 2013/01/31

Google APIs finetuning Cloud Storage JSON API 2013/01/29

2012
Ergast API Puts Car Racing Fans in the Driver’s Seat 2012/12/05
Springer APIs- Fostering Innovation via API Contests 2012/11/20
Statistically programming the web – Shiny,HttR and RevoDeploy API 2012/11/19
Google Cloud SQL API- Bigger ,Faster and now Free 2012/11/12
A Look at the Web’s Most Popular API -Google Maps API 2012/10/09
Cloud Storage APIs for the next generation Enterprise 2012/09/26
Last.fm API: Sultan of Musical APIs 2012/09/12
Socrata Data API: Keeping Government Open 2012/08/29
BigML API Gets Bigger 2012/08/22
Bing APIs: the Empire Strikes Back 2012/08/15
Google Cloud SQL: Relational Database on the Cloud 2012/08/13
Google BigQuery API Makes Big Data Analytics Easy 2012/08/05
Your Store in The Cloud -Google Cloud Storage API 2012/08/01
Predict the future with Google Prediction API 2012/07/30
The Romney vs Obama API 2012/07/27

Interview with Rob La Gesse Chief Disruption Officer Rackspace

Here is an interview with Rob La Gesse ,Chief Disruption Officer ,Rackspace Hosting.
Ajay- Describe your career  journey from not finishing college to writing software to your present projects?
Rob- I joined the Navy right out of High School. I had neither the money for college, or a real desire for it. I had several roles in the Navy, to include a Combat Medic station with the US Marine Corps and eventually becoming a Neonatal Respiratory Therapist.

After the Navy I worked as a Respiratory Therapist, a roofer, and I repaired print shop equipment. Basically whatever it took to make a buck or two.  Eventually I started selling computers.  That led me to running a multi-line dial-up BBS and I taught myself how to program.  Eventually that led to a job with a small engineering company where we developed WiFi.

After the WiFi project I started consulting on my own.  I used Rackspace to host my clients, and eventually they hired me.  I’ve been here almost three years and have held several roles. I currently manage Social Media, building 43 and am involved in several other projects such as the Rackspace Startup Program.

Ajay-  What is building43 all about ?

Rob- Building43 is a web site devoted to telling the stories behind technology startups. Basically, after we hired Robert Scoble and Rocky Barbanica we were figuring out how best we could work with them to both highlight Rackspace and customers.  That idea expanded beyond customers to highlighting anyone doing something incredible in the technology industry – mostly software startups.  We’ve had interviews with people like Mark Zuckerberg, CEO and Founder of FaceBook.  We’ve broken some news on the site, but it isn’t really a news site. It is a story telling site.

Rackspace has met some amazing new customers through the relationships that started with an interview.

Ajay-  How is life as Robert Scoble’s boss. Is he an easy guy to work with? Does he have super powers while he types?

Rob- Robert isn’t much different to manage than the rest of my employees. He is a person – no super powers.  But he does establish a unique perspective on things because he gets to see so much new technology early.  Often earlier than almost anyone else. It helps him to spot trends that others might not be seeing yet.
Ajay – Hosting companies are so so many. What makes Rackspace special for different kinds of customers?
Rob- I think what we do better than anyone is add that human touch – the people really care about your business.  We are a company that is focused on building one of the greatest service companies on the planet.  We sell support.  Hosting is secondary to service. Our motto is Fanatic Support®

and we actually look for people focused on delivering amazing customer experiences during our interviewing and hiring practices. People that find a personal sense of pride and reward by helping others should apply at
Rackspace.  We are hiring like crazy!

Ajay – Where do you see technology and the internet 5 years down the line? (we will visit the answers in 5 years :) )?
Rob- I think the shift to Cloud computing is going to be dramatic.  I think in five years we will be much further down that path.  The scaling, cost-effectiveness, and on-demand nature of the Cloud are just too compelling for companies not to embrace. This changes business in fundamental ways – lower capital expenses, no need for in house IT staff, etc will save companies a lot of money and let them focus more on their core businesses. Computing will become another utility.  I also think mobile use of computing will be much more common than it is today.  And it is VERY common today.  Phones will replace car keys and credit cards (they already are). This too will drive use of Cloud computing  because we all want our data wherever we are – on whatever computing device we happen tobe using.
Ajay- GoDaddy CEO shoots elephants. What do you do in your  spare time, if any.
Rob- Well, I don’t hunt.  We do shoot a lot of video though! I enjoy playing poker, specifically Texas Hold ‘em.  It is a very people oriented game, and people are my passion.

Brief Biography- (in his own words from http://www.lagesse.org/about/)

My technical background includes working on the development of WiFi, writing wireless applications for the Apple Newton, mentoring/managing several software-based start-ups, running software quality assurance teams and more. In 2008 I joined Rackspace as an employee – a “Racker”.  I was previously a 7 year customer and the company impressed me. My initial role was as Director of Software Development for the Rackspace Cloud.  It was soon evident that I was better suited to a customer facing role since I LOVE talking to customers. I am currently the Director of Customer Development Chief Disruption Officer.  I manage building43 and enjoy working with Robert Scoble and Rocky Barbanica to make that happen.  The org chart says they work for me.  Reality tells me the opposite :)

Go take a look – I’m proud of what we are building there (pardon the pun!).

I do a lot of other stuff at Rackspace – mostly because they let me!  I love a company that lets me try. Rackspace does that.Going further back, I have been a Mayor (in Hawaii). I have written successful shareware software. I have managed employees all over the world. I have been all over the world. I have also done roofing, repaired high end print-shop equipment, been a Neonatal Respiratory Therapist, done CPR on a boat, in a plane, and in a hardware store (and of course in hospitals).

I have treated jumpers from the Golden Gate Bridge – and helped save a few. I have lived in Illinois (Kankakee), California (San Diego, San Francisco and Novato), Texas (Corpus Christi and San Antonio), Florida (Pensacola and Palm Bay), Hawaii (Honolulu/Fort Shafter) and several other places for shorter durations.

For the last 8+ years I have been a single parent – and have done an amazing job (yes, I am a proud papa) thanks to having great kids.  They are both in College now – something I did NOT manage to accomplish. I love doing anything someone thinks I am not qualified to do.

I can be contacted at rob (at) lagesse (dot) org

you can follow Rob at http://twitter.com/kr8tr

Zementis partners with R Analytics Vendor- Revo

Logo for R

Image via Wikipedia

Just got a  PR email from Michael Zeller,CEO , Zementis annoucing Zementis (ADAPA) and Revolution  Analytics just partnered up.

Is this something substantial or just time-sharing http://bi.cbronline.com/news/sas-ceo-says-cep-open-source-and-cloud-bi-have-limited-appeal or a Barney Partnership (http://www.dbms2.com/2008/05/08/database-blades-are-not-what-they-used-to-be/)

Summary- Thats cloud computing scoring of models on EC2 (Zementis) partnering with the actual modeling software in R (Revolution Analytics RevoDeployR)

See previous interviews with both Dr Zeller at http://decisionstats.com/2009/02/03/interview-michael-zeller-ceozementis/ ,http://decisionstats.com/2009/05/07/interview-ron-ramos-zementis/ and http://decisionstats.com/2009/10/05/interview-michael-zellerceo-zementis-on-pmml/)

and Revolution guys at http://decisionstats.com/2010/08/03/q-a-with-david-smith-revolution-analytics/

and http://decisionstats.com/2009/05/29/interview-david-smith-revolution-computing/

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strategic partnership with Revolution Analytics, the leading commercial provider of software and support for the popular open source R statistics language. With this partnership, predictive models developed on Revolution R Enterprise are now accessible for real-time scoring through the ADAPA Decisioning Engine by Zementis. 

ADAPA is an extremely fast and scalable predictive platform. Models deployed in ADAPA are automatically available for execution in real-time and batch-mode as Web Services. ADAPA allows Revolution R Enterprise to leverage the Predictive Model Markup Language (PMML) for better decision management. With PMML, models built in R can be used in a wide variety of real-world scenarios without requiring laborious or expensive proprietary processes to convert them into applications capable of running on an execution system.

partnership

“By partnering with Zementis, Revolution Analytics is building an end-to-end solution for moving enterprise-level predictive R models into the execution environment,” said Jeff Erhardt, Revolution Analytics Chief Operation Officer. “With Zementis, we are eliminating the need to take R applications apart and recode, retest and redeploy them in order to obtain desirable results.”

 

Got demo? 

Yes, we do! Revolution Analytics and Zementis have put together a demo which combines the building of models in R with automatic deployment and execution in ADAPA. It uses Revolution Analytics’ RevoDeployR, a new Web Services framework that allows for data analysts working in R to publish R scripts to a server-based installation of Revolution R Enterprise.

Action Items:

  1. Try our INTERACTIVE DEMO
  2. DOWNLOAD the white paper
  3. Try the ADAPA FREE TRIAL

RevoDeployR & ADAPA allow for real-time analysis and predictions from R to be effectively used by existing Excel spreadsheets, BI dashboards and Web-based applications, all in real-time.

RevoADAPAPredictive analytics with RevoDeployR from Revolution Analytics and ADAPA from Zementis put model building and real-time scoring into a league of their own. Seriously!

Interview Anne Milley JMP

Here is an interview with Anne Milley, a notable thought leader in the world of analytics. Anne is now Senior Director, Analytical Strategy in Product Marketing for JMP , the leading data visualization software from the SAS Institute.

Ajay-What do you think are the top 5 unique selling points of JMP compared to other statistical software in its category?

Anne-

JMP combines incredible analytic depth and breadth with interactive data visualization, creating a unique environment optimized for discovery and data-driven innovation.

With an extensible framework using JSL (JMP Scripting Language), and integration with SAS, R, and Excel, JMP becomes your analytic hub.

JMP is accessible to all kinds of users. A novice analyst can dig into an interactive report delivered by a custom JMP application. An engineer looking at his own data can use built-in JMP capabilities to discover patterns, and a developer can write code to extend JMP for herself or others.

State-of-the-art DOE capabilities make it easy for anyone to design and analyze efficient experiments to determine which adjustments will yield the greatest gains in quality or process improvement – before costly changes are made.

Not to mention, JMP products are exceptionally well designed and easy to use. See for yourself and check out the free trial at www.jmp.com.

Download a free 30-day trial of JMP.

Ajay- What are the challenges and opportunities of expanding JMP’s market share? Do you see JMP expanding its conferences globally to engage global audiences?

Anne-

We realized solid global growth in 2010. The release of JMP Pro and JMP Clinical last year along with continuing enhancements to the rest of the JMP family of products (JMP and JMP Genomics) should position us well for another good year.

With the growing interest in analytics as a means to sustained value creation, we have the opportunity to help people along their analytic journey – to get started, take the next step, or adopt new paradigms speeding their time to value. The challenge is doing that as fast as we would like.

We are hiring internationally to offer even more events, training and academic programs globally.

Ajay- What are the current and proposed educational and global academic initiatives of JMP? How can we see more JMP in universities across the world (say India- China etc)?

Anne-

We view colleges and universities both as critical incubators of future JMP users and as places where attitudes about data analysis and statistics are formed. We believe that a positive experience in learning statistics makes a person more likely to eventually want and need a product like JMP.

For most students – and particularly for those in applied disciplines of business, engineering and the sciences – the ability to make a statistics course relevant to their primary area of study fosters a positive experience. Fortunately, there is a trend in statistical education toward a more applied, data-driven approach, and JMP provides a very natural environment for both students and researchers.

Its user-friendly navigation, emphasis on data visualization and easy access to the analytics behind the graphics make JMP a compelling alternative to some of our more traditional competitors.

We’ve seen strong growth in the education markets in the last few years, and JMP is now used in nearly half of the top 200 universities in the US.

Internationally, we are at an earlier stage of market development, but we are currently working with both JMP and SAS country offices and their local academic programs to promote JMP. For example, we are working with members of the JMP China office and faculty at several universities in China to support the use of JMP in the development of a master’s curriculum in Applied Statistics there, touched on in this AMSTAT News article.

Ajay- What future trends do you see for 2011 in this market (say top 5)?

Anne-

Growing complexity of data (text, image, audio…) drives the need for more and better visualization and analysis capabilities to make sense of it all.

More “chief analytics officers” are making better use of analytic talent – people are the most important ingredient for success!

JMP has been on the vanguard of 64-bit development, and users are now catching up with us as 64-bit machines become more common.

Users should demand easy-to-use, exploratory and predictive modeling tools as well as robust tools to experiment and learn to help them make the best decisions on an ongoing basis.

All these factors and more fuel the need for the integration of flexible, extensible tools with popular analytic platforms.

Ajay-You enjoy organic gardening as a hobby. How do you think hobbies and unwind time help people be better professionals?

Anne-

I am lucky to work with so many people who view their work as a hobby. They have other interests too, though, some of which are work-related (statistics is relevant everywhere!). Organic gardening helps me put things in perspective and be present in the moment. More than work defines who you are. You can be passionate about your work as well as passionate about other things. I think it’s important to spend some leisure time in ways that bring you joy and contribute to your overall wellbeing and outlook.

Btw, nice interviews over the past several months—I hadn’t kept up, but will check it out more often!

Biography-  Source- http://www.sas.com/knowledge-exchange/business-analytics/biographies.html

  • Anne Milley

    Anne Milley

    Anne Milley is Senior Director of Analytics Strategy at JMP Product Marketing at SAS. Her ties to SAS began with bank failure prediction at Federal Home Loan Bank Dallas and continued at 7-Eleven Inc. She has authored papers and served on committees for F2006, KDD, SIAM, A2010 and several years of SAS’ annual data mining conference. Milley is a contributing faculty member for the International Institute of Analytics. anne.milley@jmp.com

Top R Interviews

 

Portrait of baron A.I.Vassiliev (later - count)

Image via Wikipedia

 

Here is a list of the Top R Related Interviews I have done (in random order)-

1) John Fox , Creator of R Commander

http://decisionstats.com/2009/09/14/interview-professor-john-fox-creator-r-commander/

2) Dr Graham Williams, Creator of Rattle

http://decisionstats.com/2009/01/13/interview-dr-graham-williams/

3) David Smith, back when he was community Director of then Revolution Computing.

http://decisionstats.com/2009/05/29/interview-david-smith-revolution-computing/

and his second interview

http://decisionstats.com/2010/08/03/q-a-with-david-smith-revolution-analytics/

4) Robert Schultz, the first CEO of Revolution Computing (now Analytics)

http://decisionstats.com/2009/01/31/interviewrichard-schultz-ceo-revolution-computing/

5) Bob  Muenchen, author of R for SAS and SPSS users AND R for Stata users

http://decisionstats.com/2010/06/29/interview-r-for-stata-users/

http://decisionstats.com/2008/10/16/r-for-sas-and-spss-users/

6) Karim Chine, creator Biocep, Cloud Computing for R

http://decisionstats.com/2009/06/21/interview-karim-chine-biocep-cloud-computing-with-r/

7) Paul van Eikeran, Inference for R,the first enterprise package to use R from within MS Office.

http://decisionstats.com/2009/06/04/inference-for-r/

8) Hadley Wickham, creator GGPlot and R Author

http://decisionstats.com/2010/01/12/interview-hadley-wickham-r-project-data-visualization-guru/

Thats a lot of R interviews- I need to balance them out a bit I guess.

Blog Update

Some changes at Decisionstats-

1) We are back at Decisionstats.com and Decisionstats.wordpress.com will point to that as well. The SEO effects would be interesting and so would be the Instant Pagerank or LinkRank or whatever Coffee/Percolator they use in Cali to index the site.

2) AsterData is no longer a sponsor- but Predictive Analytics Conference is. Welcome PAWS! I have been a blog partner to PAWS ever since it began- and it’s a great marketing fit. Expect to see a lot of exclusive content and interviews from great speakers at PAWS.

3) The Feedblitz newsletter (now at 404 subscribers) is now a weekly subscription to send one big big email rather than lots of email through the week- this is because my blogging frequency is moving up as I collect material for a new book on business analytics that I would probably release in 2011 (if all goes well, touchwood). Linkedin group would be getting a weekly update announcement. If you are connected to Decisionstats on Analyticbridge _ I would soon try to find a way to update the whole post automatically using RSS and Ning.com . or not. Depends.

4) R continues to be a bigger focus. So will SPSS and maybe JMP. Newer softwares or older softwares that change more rapidly would get more coverage. Generally a particular software is covered if it has newer features, or an interesting techie conference, or it gets sued.

5) I will occasionally write a poem or post a video once a week randomly to prove geeks and nerds and analysts can have fun (much more fun actually dont we)

Thanks for reading this. Sept 2010 was the best ever for Decisionstats.com – we crossed 15,000 + visitors and thanks for that again! I promise to bore you less and less as we grow old together on the blog ;)

Interview Stephanie McReynolds Director Product Marketing, AsterData

Here is an interview with Stephanie McReynolds who works as as Director of Product Marketing with AsterData. I asked her a couple of questions about the new product releases from AsterData in analytics and MapReduce.

Ajay – How does the new Eclipse Plugin help people who are already working with huge datasets but are new to AsterData’s platform?

Stephanie- Aster Data Developer Express, our new SQL-MapReduce development plug-in for Eclipse, makes MapReduce applications easy to develop. With Aster Data Developer Express, developers can develop, test and deploy a complete SQL-MapReduce application in under an hour. This is a significant increase in productivity over the traditional analytic application development process for Big Data applications, which requires significant time coding applications in low-level code and testing applications on sample data.

Ajay – What are the various analytical functions that are introduced by you recently- list say the top 10.

Stephanie- At Aster Data, we have an intense focus on making the development process easier for SQL-MapReduce applications. Aster Developer Express is a part of this initiative, as is the release of pre-defined analytic functions. We recently launched both a suite of analytic modules and a partnership program dedicated to delivering pre-defined analytic functions for the Aster Data nCluster platform. Pre-defined analytic functions delivered by Aster Data’s engineering team are delivered as modules within the Aster Data Analytic Foundation offering and include analytics in the areas of pattern matching, clustering, statistics, and text analysis– just to name a few areas. Partners like Fuzzy Logix and Cobi Systems are extending this library by delivering industry-focused analytics like Monte Carlo Simulations for Financial Services and geospatial analytics for Public Sector– to give you a few examples.

Ajay – So okay I want to do a K Means Cluster on say a million rows (and say 200 columns) using the Aster method. How do I go about it using the new plug-in as well as your product.

Stephanie- The power of the Aster Data environment for analytic application development is in SQL-MapReduce. SQL is a powerful analytic query standard because it is a declarative language. MapReduce is a powerful programming framework because it can support high performance parallel processing of Big Data and extreme expressiveness, by supporting a wide variety of programming languages, including Java, C/C#/C++, .Net, Python, etc. Aster Data has taken the performance and expressiveness of MapReduce and combined it with the familiar declarativeness of SQL. This unique combination ensures that anyone who knows standard SQL can access advanced analytic functions programmed for Big Data analysis using MapReduce techniques.

kMeans is a good example of an analytic function that we pre-package for developers as part of the Aster Data Analytic Foundation. What does that mean? It means that the MapReduce portion of the development cycle has been completed for you. Each pre-packaged Aster Data function can be called using standard SQL, and executes the defined analytic in a fully parallelized manner in the Aster Data database using MapReduce techniques. The result? High performance analytics with the expressiveness of low-level languages accessed through declarative SQL.

Ajay – I see an an increasing focus on Analytics. Is this part of your product strategy and how do you see yourself competing with pure analytics vendors.

Stephanie – Aster Data is an infrastructure provider. Our core product is a massively parallel processing database called nCluster that performs at or beyond the capabilities of any other analytic database in the market today. We developed our analytics strategy as a response to demand from our customers who were looking beyond the price/performance wars being fought today and wanted support for richer analytics from their database provider. Aster Data analytics are delivered in nCluster to enable analytic applications that are not possible in more traditional database architectures.

Ajay – Name some recent case studies in Analytics of implementation of MR-SQL with Analytical functions

Stephanie – There are three new classes of applications that Aster Data Express and Aster Analytic Foundation support: iterative analytics, prediction and optimization, and ad hoc analysis.

Aster Data customers are uncovering critical business patterns in Big Data by performing hypothesis-driven, iterative analytics. They are exploring interactively massive volumes of data—terabytes to petabytes—in a top-down deductive manner. ComScore, an Aster Data customer that performs website experience analysis is a good example of an Aster Data customer performing this type of analysis.

Other Aster Data customers are building applications for prediction and optimization that discover trends, patterns, and outliers in data sets. Examples of these types of applications are propensity to churn in telecommunications, proactive product and service recommendations in retail, and pricing and retention strategies in financial services. Full Tilt Poker, who is using Aster Data for fraud prevention is a good example of a customer in this space.

The final class of application that I would like to highlight is ad hoc analysis. Examples of ad hoc analysis that can be performed includes social network analysis, advanced click stream analysis, graph analysis, cluster analysis and a wide variety of mathematical, trigonometry, and statistical functions. LinkedIn, whose analysts and data scientists have access to all of their customer data in Aster Data are a good example of a customer using the system in this manner.

While Aster Data customers are using nCluster in a number of other ways, these three new classes of applications are areas in which we are seeing particularly innovative application development.

Biography-

Stephanie McReynolds is Director of Product Marketing at Aster Data, where she is an evangelist for Aster Data’s massively parallel data-analytics server product. Stephanie has over a decade of experience in product management and marketing for business intelligence, data warehouse, and complex event processing products at companies such as Oracle, Peoplesoft, and Business Objects. She holds both a master’s and undergraduate degree from Stanford University.

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