HTTP/2 302 server: nginx date: Thu, 17 Jul 2025 07:48:25 GMT content-type: text/plain; charset=utf-8 content-length: 0 x-archive-redirect-reason: found capture at 20130707215533 location: https://web.archive.org/web/20130707215533/https://feeds.oreilly.com/oreilly/events server-timing: captures_list;dur=0.541849, exclusion.robots;dur=0.025896, exclusion.robots.policy;dur=0.009876, esindex;dur=0.011468, cdx.remote;dur=98.287936, LoadShardBlock;dur=370.603211, PetaboxLoader3.datanode;dur=194.171879, PetaboxLoader3.resolve;dur=76.274106 x-app-server: wwwb-app217 x-ts: 302 x-tr: 496 server-timing: TR;dur=0,Tw;dur=0,Tc;dur=0 set-cookie: SERVER=wwwb-app217; path=/ x-location: All x-rl: 0 x-na: 0 x-page-cache: MISS server-timing: MISS x-nid: DigitalOcean referrer-policy: no-referrer-when-downgrade permissions-policy: interest-cohort=() HTTP/2 200 server: nginx date: Thu, 17 Jul 2025 07:48:26 GMT content-type: text/xml; charset=UTF-8 x-archive-orig-etag: D6xBJAScs5vCtfgdUPIUNx/d0v8 x-archive-orig-last-modified: Sun, 07 Jul 2013 20:19:51 GMT x-archive-orig-date: Sun, 07 Jul 2013 21:55:32 GMT x-archive-orig-expires: Sun, 07 Jul 2013 21:55:32 GMT x-archive-orig-cache-control: private, max-age=0 x-archive-orig-x-content-type-options: nosniff x-archive-orig-x-xss-protection: 1; mode=block x-archive-orig-server: GSE cache-control: max-age=1800 x-archive-guessed-content-type: text/xml x-archive-guessed-charset: utf-8 memento-datetime: Sun, 07 Jul 2013 21:55:33 GMT link: ; rel="original", ; rel="timemap"; type="application/link-format", ; rel="timegate", ; rel="first memento"; datetime="Sun, 26 Oct 2008 01:34:33 GMT", ; rel="prev memento"; datetime="Sun, 09 Jun 2013 05:33:02 GMT", ; rel="memento"; datetime="Sun, 07 Jul 2013 21:55:33 GMT", ; rel="next memento"; datetime="Tue, 06 Aug 2013 08:52:00 GMT", ; rel="last memento"; datetime="Sat, 28 Sep 2024 02:24:14 GMT" content-security-policy: default-src 'self' 'unsafe-eval' 'unsafe-inline' data: blob: archive.org web.archive.org web-static.archive.org wayback-api.archive.org athena.archive.org analytics.archive.org pragma.archivelab.org wwwb-events.archive.org x-archive-src: alexa20130710-18/52_34_20130707215526_crawl100.arc.gz server-timing: captures_list;dur=1.516292, exclusion.robots;dur=0.019269, exclusion.robots.policy;dur=0.008712, esindex;dur=0.012120, cdx.remote;dur=39.510176, LoadShardBlock;dur=159.642175, PetaboxLoader3.datanode;dur=132.832335, PetaboxLoader3.resolve;dur=147.620521, load_resource;dur=159.716148 x-app-server: wwwb-app217 x-ts: 200 x-tr: 389 server-timing: TR;dur=0,Tw;dur=0,Tc;dur=1 x-location: All x-rl: 0 x-na: 0 x-page-cache: MISS server-timing: MISS x-nid: DigitalOcean referrer-policy: no-referrer-when-downgrade permissions-policy: interest-cohort=() O'Reilly Events Copyright O'Reilly Media, Inc. https://events.oreilly.com/ 2013-07-04T06:15:43-08:00 O'Reilly Media, Inc. no O'Reilly Media, Inc. webmaster@oreillynet.com https://oreillynet.com/pub/e/2733

<p><strong>Join us for an exclusive presentation by <a href="https://strataconf.com/strata2013/public/schedule/speaker/138845">Carl Steinbach</a> recorded live from his Strata Santa Clara 2013 Talk.</strong> </p> <p> The analytics and data warehousing industries are in the midst of a major period of transformation and upheaval. Since the publication nearly a decade ago of Google's seminal MapReduce and GFS papers, we have witnessed the appearance of Apache Hadoop, followed closely by the arrival of batch-oriented SQL systems like Apache Hive, and the scramble by established SQL vendors to implement Hadoop connectors. </p> <p>This talk addresses the recent emergence of a new generation of analytic databases inspired by Google Dremel. These databases have been designed with the goal of running real-time SQL natively on Hadoop in a manner that fully exploits the flexibility and performance of the underlying platform. Characterized by features including schema-on-read, support for semi-structured data, and pluggable storage engines, and defined by systems like Citus Data's CitusDB and Cloudera's Impala, these new systems share important architectural details that distinguish them from the previous generation of analytic databases.</p> <p> In this talk we will discuss the unavoidable cost and performance limitations of the connector-based approach employed by many established vendors and explain the long-term significance of Apache Hive's data model along with its influence on next generation SQL-on-Hadoop databases. We will then unravel the novel architectural features common to next generation analytic database systems like CitusDB and Impala that make real-time SQL-on-Hadoop feasible. Finally, we will conclude by reviewing several important database lessons learned over the previous decades that remain relevant today. </p> <h3 style="margin-bottom: 5px;">About Carl Steinbach</h3> <p>Carl Steinbach is a software engineer at Citus Data, as well as a committer and PMC member on the Apache Hive project. Previously Carl worked at Cloudera where he led the Hive team, at NetApp where he developed storage encryption products, and at Oracle where he was a member of the Server Technologies group. Carl holds B.S. and M.Eng. degrees in Computer Science from MIT.</p> <p style="padding-bottom: 0px; margin-bottom: 5px;"><strong>You may also be interested in:</strong></p> <a href="https://strataconf.com/stratany2013?intcmp=il-strata-stny13-data-webcast"><img alt="Strata Conference + Hadoop World 2013" border="0" height="100" src="https://cdn.oreilly.com/oreilly/promos/stratany_528x100_learn.jpg" width="528" /></a>

Carl Steinbach 2013-10-02T06:15:43-08:10 https://oreillynet.com/pub/e/2747

<p>The real challenge of programming isn't learning a language's syntax&mdash;it's learning to creatively solve problems so you can build something great. In this one-of-a-kind webcast, author V. Anton Spraul breaks down some of the ways that programmers solve problems and teaches you how to <a href="https://shop.oreilly.com/product/9781593274245.do"><em>Think Like a Programmer</em></a>. </p> <p> In this webcast we answer the questions: </p> <ul> <li>What is "problem solving" for programmers, and why is it so important?</li> <li>Can it be learned, or do some people just "get it"?</li> <li>How can someone develop his or her problem-solving ability?</li> <li>What are some of the basic techniques of problem-solving for programmers?</li> </ul> <h3>About V. Anton Spraul</h3> <p>V. Anton Spraul has over fifteen years of experience teaching introductory programming and other topics in computer science. His latest book, Thin Like a Programmer, is a distillation of the techniques he has honed over many one-on-one sessions with struggling programmers. He is also the author of Computer Science Made Simple.</p>

V. Anton Spraul 2013-10-01T01:15:28-08:11 https://oreilly.com/events/#2652

At Strata Rx, decision makers from the healthcare ecosystem discuss solutions to healthcare's biggest challenges. The conference highlights efforts that leverage next-generation analytics methods and clinical and observational data to solve the complex, urgent issues confronting healthcare.

O'Reilly Media, Inc. 2013-09-25T01:15:27-08:12 https://oreillynet.com/pub/e/2737

<p>Come join us on the ground floor of an age of discovery as we explore how Big Data can help personalize healthcare. This is a call for the believers in Big Data, as well as the skeptics and non-data healthcare people, to come together to learn about the Big Data landscape in healthcare. </p> <p>For non-data people we will explain the background on Big Data and the recent wild growth in the use of mobile devices that is generating a data deluge. </p> <p> We will then develop a story around three interesting case studies of how Big Data is being harnessed to improve healthcare: </p> <ol style="padding-left: 16px;"> <li>Support Research - Genomics</li> <li>Transforming Data to Information - Cancer Research</li> <li>Supporting Self-Care and Increasing Awareness - Mobile Social Games for Health</li> </ol> <p> This webcast will examine and answer the questions: </p> <ul> <li>Who is doing this?</li> <li>Why does this matter?</li> <li>How are Big Data and data analytics going to improve healthcare?</li> <li>What are the future implications?</li> <li>Why do we care?</li> </ul> <p> While we explore the promise of improvement in the emerging ecosystem of personalized medicine. </p> <h3>About Bonnie Feldman</h3> <p> As principal of DrBonnie360,Bonnie brings a 360-degree view of private and public healthcare to her consulting work, which includes business development, market research and communication in newly emerging markets. She has earned a broad and deep understanding of the players and the playing field in Health 2.0/3.0, life science capital markets, and healthcare practice. Most recently, she published "Big Data in Healthcare -Hype and Hope" in collaboration with Rock Health. Prior to this original research, she created a first of its kind industry overview "Mobile, Social and Fun: Games for Health," published by MobiHealthNews, which was well received as a presentation at the Games for Health Conference. On the analytic side, after working as a health services researcher at the Rand Corporation, she worked on Wall Street as a buy-side and sell-side equity research analyst. She has provided investor relations services both inside companies and on a professional consulting basis. In clinical practice, as an entrepreneur, she built and owned two dental practices, managing finances, business development, staffing, operations and patient care as well as performing claims review consulting for Prudential. She holds a BA in Economics, a Doctor of Dental Surgery, and an MBA in Finance from the University of California, Los Angeles. </p> <a href="https://strataconf.com/rx2013"><img alt="O'Reilly Strata Rx Conference" border="0" height="90" src="https://cdn.oreilly.com/images/oreilly/strata-rx2013-banner-528.png" width="528" /></a>

Bonnie Feldman 2013-09-18T01:15:27-08:13 https://oreillynet.com/pub/e/2777

<p> Learn to leverage your existing JavaScript skills on the server with Node and the most popular application framework for Node, Express. In this hands-on webcast presented by Eric Elliott author of <a href="https://shop.oreilly.com/product/0636920024231.do">Programming JavaScript Applications</a>, you will learn how to organize files, find common libraries, use Express middleware and more. </p> <h3>About Eric Elliott</h3> <p>Eric Elliott is a veteran of JavaScript application development. He is currently a member of the Creative Cloud team at Adobe. Previous roles include JavaScript Lead at Tout (social video), Senior JavaScript Rockstar at BandPage (an industry leading music app), head of client side architecture at Zumba Fitness (the leading global fitness brand), and several years as a UX and viral application consultant. He lives in the San Francisco bay area with the most beautiful woman in the world. You can follow Eric on Twitter <a href="https://twitter.com/dilvie">@dilvie</a>. </p>

Eric Elliott 2013-09-17T15:15:45-08:14 https://oreillynet.com/pub/e/2700

<p>We need to show how a world of open science, building off of each other's work can be rewarded, to show how challenges and open competitions lead to sharing. </p> <p>I wonder what it will take to transition biomedical research to a haven for rapid learning, networked team approaches, and sharing insights that have been powering up the software industry and enabled physicists for decades. I wonder what it will take for citizens to rise up and say the current reward structures in academia where the majority of the NIH/government grants (that's your money) is given to scientists who expect to not share their insights till submitted to journals, and current operation models for biotech where VCs patrol for breaches in secrecy around insights they have made about human diseases such as Parkinson's using samples from patients till they can take out patents. We need to show how a world of open science, building off of each other's work can be rewarded, to show how challenges and open competitions lead to sharing. </p> <h3>About Dr. Stephen Friend</h3> <p> Dr. Friend is the President of Sage Bionetworks. He is an authority in the field of cancer biology and a leader in efforts to make large scale, data-intensive biology broadly accessible to the entire research community. Dr. Friend has been a senior advisor to the NCI, several biotech companies, a Trustee of the AACR and is a AAAS and Ashoka Fellow as well as an editorial board memeber of Open Network Biology. Dr. Friend was previously Senior Vice President and Franchise Head for Oncology Research at Merck &amp; Co., Inc. where he led Merck's Basic Cancer Research efforts. Prior to joining Merck, Dr. Friend was recruited by Dr. Leland Hartwell to join the Fred Hutchinson Cancer Research Center's Seattle Project, an advanced institute for drug discovery. While there Drs. Friend and Hartwell developed a method for examining large patterns of genes that led them to co-found Rosetta Inpharmatics in 2001. Dr. Friend has also held faculty positions at Harvard Medical School from 1987 to 1995 and at Massachusetts General Hospital from 1990 to 1995. He received his B.A. in philosophy, his Ph.D. in biochemistry and his M.D. from Indiana University. </p> <a href="https://strataconf.com/rx2013"><img alt="O'Reilly Strata Rx Conference" border="0" height="90" src="https://cdn.oreilly.com/images/oreilly/strata-rx2013-banner-528.png" width="528" /></a>

Stephen Friend 2013-09-10T01:15:20-08:15 https://oreillynet.com/pub/e/2690

<p>We now have more health related data than ever, but to actually turn it into better healthcare we need better data technology. </p> <p>Not only must this technology scale to petabytes of clinical genomics data but it must weave together collaborative data management with cybersecurity, on-demand analysis, and data-driven decision support at the point of care. At the same time it must shield patients and healthcare providers from the nuts and bolts of managing complex data and mitigate institutional liability arising from protected health information. </p> <p> This webcast presentation paints a picture of the direction clinical medicine is heading in the age of Big Data, highlighting ongoing data cyberinfrastructure development by University of North Carolina at Chapel Hill based RENCI and key partners to enable the transition. </p> <h3>About Michael Shoffner</h3> <p> Michael Shoffner is a Senior Research Software Architect in the Data Sciences Group at RENCI, a UNC-based research institute that develops and deploys advanced technologies to enable research discoveries, and an adjunct faculty member in the UNC School of Information and Library Science (SILS). Previously he has been a technical architect, a member of an emerging technologies strategy group, and co-founder of an early area Internet technology consultancy with clients in the biomedical and education spaces. He co-authored one of the first trade books on the Java programming language and spearheaded the world's first online radio station simulcast. </p> <a href="https://strataconf.com/rx2013"><img alt="O'Reilly Strata Rx Conference" border="0" height="90" src="https://cdn.oreilly.com/images/oreilly/strata-rx2013-banner-528.png" width="528" /></a>

Michael Shoffner 2013-09-05T02:15:32-08:16 https://oreillynet.com/pub/e/2683

<p>The frenzy in healthcare as in every other industry is around the power of Big Data. Yet in healthcare most if not all of the data we have been trying to dissect has been tethered to the healthcare delivery system. As the race ensues to create the truly engaged consumer, the solution ultimately lies in the ability to understand trends, preferences, profiles of people in their daily lives and the lifestyle they lead around health. Google , Facebook, Apple have defined the dictionaries of our interests, likes and dislikes but why not health? Have they missed the opportunity?</p> <p>In this webcast talk Dr. Sreedhar Potarazu (Dr P), Fox News Contributor, Acclaimed Author and Nationally Recognized Expert on Big Data and Healthcare, tells the story never told on the next "Big THING" in healthcare and the lessons learned from Silicon Valley and why it has not conquered healthcare. Don&#8217;t miss this informative presentation.</p> <h3>About Sreedhar Potarazu</h3> <p> Dr. Sreedhar Potarazu is an acclaimed ophthalmologist and entrepreneur who has been recognized as an international visionary in the business of medicine. He is the founder and CEO of VitalSpring Technologies Inc., a privately held enterprise software company focused on providing employers with applications to empower them to become more sophisticated purchasers of health care. Dr Potarazu has personally served as a consultant to Fortune 500 companies such as Microsoft, Kodak, McDonalds, Google and Amtrak in managing the cost and quality of healthcare for their workforce. Dr. Potarazu received his medical degree from The George Washington University and subsequently completed his internship in surgery and residency there as well. He completed fellowships in Neuro-Ophthalmology and glaucoma at the esteemed Bascom Palmer Eye Institute at the University of Miami in Florida. Dr. Potarazu practiced seven years in the Washington, D.C. area, during which time he was on the faculty of the Wilmer Eye Institute at Johns Hopkins University. </p> <p> While practicing, he earned an MBA at Johns Hopkins with a focus on health information technology. It was his thesis that ultimately served as the basis for the original business plan of VitalSpring. Dr. Potarazu is widely recognized as an industry leader in health care and health-care technology and is a sought-after speaker on the topic. He currently resides in Maryland with his wife and two daughters. Dr. Potarazu is also involved in the promotion of fine arts and education to the underprivileged. He is the author of a well-publicized book "Get Off The Dime" The Secret of Changing Who Pays For Your Health Care. Dr. Potarazu, has raised over 30 million dollars for VitalSpring, without the help of any institutional or venture capital investors. Dr. Potarazu is a regular contributor to the Fox News Channel and The Washington Post. </p> <a href="https://strataconf.com/rx2013"><img alt="O'Reilly Strata Rx Conference" border="0" height="90" src="https://cdn.oreilly.com/images/oreilly/strata-rx2013-banner-528.png" width="528" /></a>

Sreedhar Potarazu 2013-09-04T02:15:26-08:17 https://oreillynet.com/pub/e/2740

<p> What does it mean to design a product in a world where people own multiple connected devices and are already using them interchangeably, in order to accomplish a single goal? This hands-on webcast presentation by Michal Levin author of <a href="https://shop.oreilly.com/product/0636920027089.do">Designing Multi-Device Experiences</a>, explores three key patterns to addressing this new reality: consistent, complementary, and continuous. Michal will show how these patterns can be used to develop a rich, contextual experience across different devices, keeping in mind the one thing that matters most: people. </p> <h3>About Michal Levin</h3> <p>Michal Levin, User Experience Designer at Google, has extensive experience in UX design for web, mobile, and TV, with comprehensive knowledge in user-centered design, Consumers behavior, Interaction design, Information architecture and persuasive marketing. Since joining Google on 2009, Michal has been responsible for the UX design of global products in the areas of enterprise, analytics, search, data visualization and more. She has presented at leading international UX conferences on designing for different screen sizes, as well as ecosystem design. Prior to Google, Michal worked as Senior UX expert at TZUR - a leading UX design consultancy in Israel, and as UX specialist at modu - a start-up company, which developed an innovative type of mobile eco-system. She holds 2 bachelor degrees in Psychology, Communication and Business Management from Tel Aviv University. </p>

Michal Levin 2013-08-30T14:15:28-08:18 https://oreillynet.com/pub/e/2716

<p>There are hundreds of different ways to collect information about your users. Some of them would be useful for you to do right now. Some would be a giant waste of money. Do you know the difference? </p> <p> In this webcast presented by Laura Klein author of <a href="https://shop.oreilly.com/product/0636920026242.do">UX for Lean Startups</a>, you'll learn the tips you need to help you avoid common mistakes people make when: </p> <ul> <li>Deciding what sort of research to do </li> <li>Performing the research </li> <li>Analyzing the results </li> </ul> <h3>About Laura Klein</h3> <p>Laura has spent 15 years as an engineer and designer. Her goal is to help lean startups learn more about their customers so that they can build better products faster. Her popular design blog, Users Know, teaches product owners exactly what they need to know to do just enough research and design. She is currently the Director of Product and UX for a lean startup.</p>

Laura Klein 2013-08-28T02:15:26-08:19 https://oreillynet.com/pub/e/2684

<p> In this webcast we will talk about the new high availability solution that is introduced in SQL Server 2012. The session provides an overview of AlwaysOn and explains how you can build a high availability solution using the new features and capabilities. In this session you will learn about how to deploy an AlwaysOn solution, how to utilize your secondary hardware for better return of investment and how the new solution simplifies deployment, management of high availability in your environment. The session will also describe how to manage application connectivity of your primary OLTP applications and reporting applications in an AlwaysOn environment. </p> <h3>About Patrick LeBlanc</h3> <p>Patrick LeBlanc is a Data Platform Technical Solution Professional at Microsoft, working directly with customers on the business value of SQL Server. He co-authored SharePoint 2010 Business Intelligence 24-Hour Trainer and Knight's Microsoft Business Intelligence 24-Hour Trainer, and founded <a href="https://www.sqllunch.com">www.sqllunch.com</a>, a website devoted to teaching SQL Server technologies. </p>

Patrick LeBlanc 2013-08-23T02:15:25-08:20 https://oreillynet.com/pub/e/2728

<p> Data journalism is journalism's current big thing. But journalists - some who have been operating solo - soon learn that to be able to do it well (i.e. make the data serve audiences, not baffle or bore them) requires the team effort of many different specialists. A data journalism story is usually a project. A statistician/data scientist/researcher spots the trend. A coder and/or developer hones into the trend and data sets to translate it to the screen. From this, a visualizer/graphic artist tells a visual story, by creating a chart or infographic. An app developer ensures this sequence can be followed again and again from the same data sets to highlight many different stories, trends or hypotheses. The journalist is the director who orchestrates all this - then decides: how do I make sure this talks to my audience? A tall order! But a few simple techniques - and perhaps a rethink of newsroom jobs - can make this new big thing sing. The Country Director of <a href="https://www.internewskenya.org">Internews</a> in Kenya, <a href="https://strataconf.com/rx2013/public/schedule/speaker/155596">Ida Jooste</a> (<a href="https://twitter.com/idajooste">@idajooste</a>), walks through some projects put together by data journalism teams in Kenya, and invites you to brainstorm how one might make data journalism a sustainable new addition to newsroom culture. </p> <h3>About Ida Jooste</h3> <p> Ida Jooste is the Country Director for Internews Kenya - a seasoned television, radio and print journalist and news manager, journalism trainer and media development manager. As journalist, Ms. Jooste's work spanned African politics, development, science and health journalism, elections programming and investigative documentary production. A winner of over 20 journalism awards, she has played a leading role in political and social development journalism for the past 20 years, in various capacities at the South African Broadcasting Corporation (SABC), as consultant, university guest lecturer and most recently as Country Director at Internews in Kenya, where she has oversight of a growing portfolio of health, human rights and democracy and governance related journalism training programs. </p> <a href="https://strataconf.com/rx2013"><img alt="O'Reilly Strata Rx Conference" border="0" height="90" src="https://cdn.oreilly.com/images/oreilly/strata-rx2013-banner-528.png" width="528" /></a>

Ida Jooste 2013-08-22T01:15:27-08:21 https://oreillynet.com/pub/e/2729

<p>Bionimbus is an open source petabyte scale community cloud based upon OpenStack for managing, analyzing and sharing large genomics datasets that is operated by the not-for-profit Open Cloud Consortium.</p> <p>It contains a variety of public datasets, including ENCODE and the 1000 Genomes dataset.</p> <p> Join us for a webcast talk by Robert Grossman where he shares how his organization recently expanded Bionimbus so that researchers can analyze data from controlled datasets, such as The Cancer Genome Atlas (TCGA) in a secure and compliant fashion. TCGA contains data from over 6,000 cancer patients, spanning 20 different types of cancer. Tissues samples from both cancerous and normal tissue are collected and sequenced. </p> <p> In this webcast we will discuss: </p> <ul> <li>the role of private, community and public clouds in bioinformatics</li> <li>the Bionimbus architecture</li> <li>the Bionimbus security and compliance framework</li> <li>how Bionimbus interoperates with Amazon Web Services</li> <li>how to interoperate your own resources with Bionimbus</li> <li>adding data to Bionimbus</li> <li>how Bionimbus allocates computing resources to the community</li> <li>how to get involved with Bionimbus</li> </ul> <h3>About Robert Grossman</h3> <p> Robert Grossman is a faculty member and the Chief Research Informatics Officer in the Biological Sciences Division of the University of Chicago. He is a Senior Fellow in the Institute for Genomics and Systems Biology (<a href="https://www.igsb.org/">IGSB</a>) and the Computation Institute (<a href="https://www.ci.uchicago.edu/">CI</a>). He is also the Founder and a Partner of <a href="https://www.opendatagroup.com/">Open Data Group</a>, which specializes in building predictive models over big data. His areas of research include: big data, predictive analytics, bioinformatics, data intensive computing and analytic infrastructure. He has led the development of open source software tools for analyzing big data (<a href="https://code.google.com/p/augustus">Augustus</a>), cloud computing (<a href="https://sector.sf.net/">Sector</a>), and high performance networking (<a href="https://udt.sf.net/">UDT</a>). In 1996 he founded Magnify, Inc., which provides data mining solutions to the insurance industry. Grossman was Magnify's Chairman until it was sold to ChoicePoint in 2005. He is also the Chair of the <a href="https://www.opencloudconsortium.org/">Open Cloud Consortium</a>, which is a not-for-profit that supports the cloud community by operating cloud infrastructure, such as the <a href="https://www.opensciencedatacloud.org/">Open Science Data Cloud</a>. He blogs about big data, data science, and data engineering at <a href="https://www.rgrossman.com/">rgrossman.com</a>. </p> <a href="https://strataconf.com/rx2013"><img alt="O'Reilly Strata Rx Conference" border="0" height="90" src="https://cdn.oreilly.com/images/oreilly/strata-rx2013-banner-528.png" width="528" /></a>

Robert Grossman 2013-08-20T11:15:31-08:22 https://oreilly.com/events/#2682

The most the external dynamic website companies face the same challenge: page must be fast loading, infrastructure must expand, sites and services must be reliable, and complete all also within the scope of the team can withstand, but also can not exceed budget. Velocity is the best land of all Web performance and operation and maintenance professionals together on this planet, to peer learning, and experts to exchange ideas, share best practices and lessons learned.

O'Reilly Media, Inc. 2013-08-20T02:15:24-08:23 https://oreillynet.com/pub/e/2720

<p> While running experiments is a key activity in a Lean Startup, running effective experiments that lead to breakthrough insights is still considered more art than science. </p> <p> At the earliest stages of the product lifecycle, when we have relatively few customers, we struggle with making sense of seemingly small scale and qualitative customer feedback. </p> <p> Even though the mechanics of running experiments are quite straightforward, most lean practitioners fail to run effective experiments. </p> <p> In this webcast talk, Ash Maurya will teach you how to avoid these pitfalls and instead use a systems approach to craft the right next experiment no matter the stage of your product. </p> <h3>About Ash Maurya</h3> <p>Ash Maurya (<a href="https://twitter.com/ashmaurya">@ashmaurya</a>) is the founder of USERcycle. Since bootstrapping his last company seven years ago, he has launched five products and one peer-to-web application framework. Throughout this time he has been in search of better, faster ways for building successful products. Ash has more recently been rigorously applying Customer Development and Lean Startup techniques to his products, which he frequently writes about on his blog <a href="https://www.ashmaurya.com">ashmaurya.com</a>, and which turned into a book: Running Lean. Ash resides in Austin, Texas, with his wife, two children and two dogs.</p>

Ash Maurya 2013-08-14T02:15:31-08:24