This document discusses the pros and cons of building a community from scratch versus joining an existing community. It notes that building a community from scratch means starting with no users but gives full ownership and control, while joining an existing community avoids starting from zero but means less control. The document provides tips for deciding which approach to take such as considering resources, goals, and competitors. It then gives best practices for nurturing and growing a community.
Design Production Delivery Of Social Media Content for EMS InstructorsGreg Friese
Presentation given at Wisconsin Technical College EMS Instructor Coordinator conference about design and production of social media for EMS instructor professional development or as an education activity for EMT or Paramedic Students. Presentation by Greg Friese
A general discussion of Social Media including how it can benefit museums, agruments against and for access, and an examination of two popular platforms - Twitter and Facebook. Presented at the Arkansas Museums Association annual meeting in 2010.
You’ve built your Facebook Page but how do you get more Likes? How is your Page performing? How are you managing notifications? We’ll answer these questions using real-life NDSU Extension and REC Facebook Pages.
Just 2It! Social media for marketing programs - CMED ConferenceVickie Maris
CMED presentation during concurrent session by Vickie Maris on use of social media for marketing programs or teaching courses online. Background images are by VJ Maris Photography. Contact me if you'd like to use one of the images for your own presentation. I'd gladly send you the original jpg file.
I write a variety of projects. But the best referrals for what I do are for websites, blogs, newsletters, direct response projects such as postcards, and radio scripts. This PPT outlines each of those with approximate costs.
Design Production Delivery Of Social Media Content for EMS InstructorsGreg Friese
Presentation given at Wisconsin Technical College EMS Instructor Coordinator conference about design and production of social media for EMS instructor professional development or as an education activity for EMT or Paramedic Students. Presentation by Greg Friese
A general discussion of Social Media including how it can benefit museums, agruments against and for access, and an examination of two popular platforms - Twitter and Facebook. Presented at the Arkansas Museums Association annual meeting in 2010.
You’ve built your Facebook Page but how do you get more Likes? How is your Page performing? How are you managing notifications? We’ll answer these questions using real-life NDSU Extension and REC Facebook Pages.
Just 2It! Social media for marketing programs - CMED ConferenceVickie Maris
CMED presentation during concurrent session by Vickie Maris on use of social media for marketing programs or teaching courses online. Background images are by VJ Maris Photography. Contact me if you'd like to use one of the images for your own presentation. I'd gladly send you the original jpg file.
I write a variety of projects. But the best referrals for what I do are for websites, blogs, newsletters, direct response projects such as postcards, and radio scripts. This PPT outlines each of those with approximate costs.
Workshop session run for Imre LTD on Febuary 16 2009. An introduction to social media, a journey to give understanding of the concept to those curious about what impact social media can have on their business. The journey is to get delegates thinking about the scope of social media but also start dialogues about how a business can absorb social media practices in to the daily routine of the teams having to maintain the on line presences.
This session, prepared for an American Library Association Annual Conference LITA presentation in June 2015, continues explorations on bringing onsite and online colleagues together via social media tools including Google Hangouts and Twitter.
Basic Social Media know-how for curious businesses and non profit groups. Include 2 case studies to show real world examples of Social Media Marketing success - the IRC and the Playstation Blog.
Presented at the Tendenci User Conference 2007 in Houston, TX.
Presented at the SPIFFE Meetup in Tokyo.
Athenz (www.athenz.io) is an open source platform for X.509 certificate-based service authentication and fine-grained access control in dynamic infrastructures.
Athenz with Istio - Single Access Control Model in Cloud Infrastructures, Tat...Yahoo Developer Network
Athenz (www.athenz.io) is an open source platform for X.509 certificate-based service authentication and fine-grained access control in dynamic infrastructures that provides options to run multi-environments with a single access control model.
Jithin Emmanuel, Sr. Software Development Manager, Developer Platform Services, provides an overview of Screwdriver (http://www.screwdriver.cd), and shares how it’s used at scale for CI/CD at Oath. Jithin leads the product development and operations of Screwdriver, which is a flagship CI/CD product used at scale in Oath.
Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, OathYahoo Developer Network
Offline and stream processing of big data sets can be done with tools such as Hadoop, Spark, and Storm, but what if you need to process big data at the time a user is making a request? Vespa (http://www.vespa.ai) allows you to search, organize and evaluate machine-learned models from e.g TensorFlow over large, evolving data sets with latencies in the tens of milliseconds. Vespa is behind the recommendation, ad targeting, and search at Yahoo where it handles billions of daily queries over billions of documents.
Introduction to Vespa – The Open Source Big Data Serving Engine, Jon Bratseth...Yahoo Developer Network
Offline and stream processing of big data sets can be done with tools such as Hadoop, Spark, and Storm, but what if you need to process big data at the time a user is making a request?
This presentation introduces Vespa (http://vespa.ai) – the open source big data serving engine.
Vespa allows you to search, organize, and evaluate machine-learned models from e.g TensorFlow over large, evolving data sets with latencies in the tens of milliseconds. Vespa is behind the recommendation, ad targeting, and search at Yahoo where it handles billions of daily queries over billions of documents and was recently open sourced at http://vespa.ai.
In recent times, YARN Capacity Scheduler has improved a lot in terms of some critical features and refactoring. Here is a quick look into some of the recent changes in scheduler:
Global Scheduling Support
General placement support
Better preemption model to handle resource anomalies across and within queue.
Absolute resources’ configuration support
Priority support between Queues and Applications
In this talk, we will deep dive into each of these new features to give a better picture of their usage and performance comparison. We will also provide some more brief overview about the ongoing efforts and how they can help to solve some of the core issues we face today.
Speakers:
Sunil Govind (Hortonworks), Jian He (Hortonworks)
Jun 2017 HUG: Large-Scale Machine Learning: Use Cases and Technologies Yahoo Developer Network
In recent years, Yahoo has brought the big data ecosystem and machine learning together to discover mathematical models for search ranking, online advertising, content recommendation, and mobile applications. We use distributed computing clusters with CPUs and GPUs to train these models from 100’s of petabytes of data.
A collection of distributed algorithms have been developed to achieve 10-1000x the scale and speed of alternative solutions. Our algorithms construct regression/classification models and semantic vectors within hours, even for billions of training examples and parameters. We have made our distributed deep learning solutions, CaffeOnSpark and TensorFlowOnSpark, available as open source.
In this talk, we highlight Yahoo use cases where big data and machine learning technologies are best exemplified. We explain algorithm/system challenges to scale ML algorithms for massive datasets. We provide a technical overview of CaffeOnSpark and TensorFlowOnSpark to jumpstart your journey of large-scale machine learning.
Speakers:
Andy Feng is a VP of Architecture at Yahoo, leading the architecture and design of big data and machine learning initiatives. He has architected large-scale systems for personalization, ad serving, NoSQL, and cloud infrastructure. Prior to Yahoo, he was a Chief Architect at Netscape/AOL, and Principal Scientist at Xerox. He received a Ph.D. degree in computer science from Osaka University, Japan.
February 2017 HUG: Slow, Stuck, or Runaway Apps? Learn How to Quickly Fix Pro...Yahoo Developer Network
Spark and SQL-on-Hadoop have made it easier than ever for enterprises to create or migrate apps to the big data stack. Thousands of apps are being generated every day in the form of ETL and modeling pipelines, business intelligence and data cubes, deep machine learning, graph analytics, and real-time data streaming. However, the task of reliably operationalizing these big data apps involves many painpoints. Developers may not have the experience in distributed systems to tune apps for efficiency and performance. Diagnosing failures or unpredictable performance of apps can be a laborious process that involves multiple people. Apps may get stuck or steal resources and cause mission-critical apps to miss SLAs.
This talk with introduce the audience to these problems and their common causes. We will also demonstrate how to find and fix these problems quickly, as well as prevent such problems from happening in the first place.
Speakers:
Dr. Shivnath Babu is a Co-founder and CTO of Unravel and Associate Professor of Computer Science at Duke University. With more than a decade of experience researching the ease of use and manageability of data-intensive systems, he leads the Starfish project at Duke, which pioneered the automation of Hadoop application tuning, problem diagnosis, and resource management. Shivnath has more than 80 peer-reviewed publications to his credit and has received the U.S. National Science Foundation CAREER Award, the HP Labs Innovation Award, and three IBM Faculty Awards.
February 2017 HUG: Exactly-once end-to-end processing with Apache ApexYahoo Developer Network
Apache Apex (http://apex.apache.org/) is a stream processing platform that helps organizations to build processing pipelines with fault tolerance and strong processing guarantees. It was built to support low processing latency, high throughput, scalability, interoperability, high availability and security. The platform comes with Malhar library - an extensive collection of processing operators and a wide range of input and output connectors for out-of-the-box integration with an existing infrastructure. In the talk I am going to describe how connectors together with the distributed checkpointing (a mechanism used by the Apex to support fault tolerance and high availability) provide exactly-once end-to-end processing guarantees.
Speakers:
Vlad Rozov is Apache Apex PMC member and back-end engineer at DataTorrent where he focuses on the buffer server, Apex platform network layer, benchmarks and optimizing the core components for low latency and high throughput. Prior to DataTorrent Vlad worked on distributed BI platform at Huawei and on multi-dimensional database (OLAP) at Hyperion Solutions and Oracle.
February 2017 HUG: Data Sketches: A required toolkit for Big Data AnalyticsYahoo Developer Network
In the analysis of big data there are problematic queries that don’t scale because they require huge compute resources and time to generate exact results. Examples include count distinct, quantiles, most frequent items, joins, matrix computations, and graph analysis. If approximate results are acceptable, there is a class of sub-linear, stochastic streaming algorithms, called "sketches", that can produce results orders-of magnitude faster and with mathematically proven error bounds. For interactive queries there may not be other viable alternatives, and in the case of extracting results for these problem queries in real-time, sketches are the only known solution. For any analysis system that requires these problematic queries from big data, sketches are a required toolkit that should be tightly integrated into the system's analysis capabilities. This technology has helped Yahoo successfully reduce data processing times from days to hours, or minutes to seconds on a number of its internal platforms. This talk covers the current state of our Open Source DataSketches.github.io library, which includes adaptations and example code for Pig, Hive, Spark and Druid and gives architectural examples of use and a case study.
Speakers:
Jon Malkin is a scientist at Yahoo working to extend the DataSketches library. His previous roles have involved large scale data processing for sponsored search, display advertising, user counting, ad targeting, and cross-device user identity modeling.
Alexander Saydakov is a senior software engineer at Yahoo working on the open source Data Sketches project. In his previous roles he has been involved in building large-scale back-end data processing systems and frameworks for data analytics and experimentation based on Torque, Hadoop, Pig, Hive and Druid. Alexander’s education background is in the field of applied mathematics.
Tell Duzins story Why I chose to join communities, instead of creating one
On last point: (think short and long term) Site creation, security protocols, take time Effectively creating a new product More difficult to enlist outside moderation
YDN Offsite content consists of: Marketing, Communication, Light Discussion, Fan building Onsite “”: Deeper conversation, Technical deep dives, Evergreen content, Permanent resources
Customer Service emails should talk like real people "At the tone, please record your message. When you have finished recording, you may hang up, or press 1 for more options. To leave a callback number, press 5. To send a fax, press 7. (Beep)”
For our audience, especially, typical marketing doesn’t work. They are extremely web savvy, and carry that internet chip on on their shoulders, so they’re typically skeptical of all marketing. Real voice has to happen. No BS.
Your customers are your knowledge base They help each other They warn of potential problems
While we do encourage community members to help other community members, we spend a great deal of time cultivating fans internally (ie employees) to help us cover all the major community areas. And, we never launch a community area without internal owners.
Very different ‘communities’ on Facebook, Twitter, and on your own site. Deliver content specific to that audience when you do any messaging.
Facebook you can be heavier on the communication, but people tend to passively ‘like’ rather than converse. For our audience, we rarely see debate on FB. On Twitter, heated debates can quickly become trends. People subscribe to searches on popular technologies. Different content for different audiences.
On Twitter especially. Depending on your audience, livetweeting can annoy. Know if people follow your company on their phone. If so, be careful of how often you tweet.
@s don’t go to all of your followers. .@s can solve that, but only use them if it’s important that all your followers see the info. Hashtags are great, but too many is annoying. Don’t spam hashtag. Always take the time to attribute to a service user if possible, rather than merely naming the person. RT often, but only excellent content. Don’t auto-DM followers. Don’t discuss private matters in a public forum.
Community is not easy Real work Real effort Real relationship Real loyalty Questions?