Yahoo! + Joyent Quickstart

•Download as PPT, PDF•

1 like•550 views

This document provides steps for developers to create a Yahoo! + Joyent application, including registering for accounts on the Yahoo! Developer Network and Joyent, then using those accounts to select a Yahoo! Application Platform project and deploy code to run on Joyent infrastructure. Key steps are to create a YDN project, which provides an application ID, and use that ID to register a Joyent account and deploy code to the default accelerator page.

Yahoo! + Joyent Quickstart Yahoo! Developer Network

Steps ,[object Object],[object Object],[object Object]

Yahoo! Dev Network site showing “My Projects” button

YDN projects page showing button to create new project

YDN projects page showing YAP app selection

Joyent site showing Yahoo! partnership button

Joyent registration page showing app id field

Default Yahoo!+Joyent accellerator index pag

SSH in and run: echo 'aloha' > web/public/index.html

Resources ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Presentation history ,[object Object],[object Object]

As the amount of unstructured data has greatly exceeded a single computer's ability to process it, data has become increasingly isolated from the compute elements . The resulting haul from stores of record (e.g., SAN, NAS, S3) to transient compute (e.g., Hadoop, EC2) creates needless mechanical work and human labor. Is there a better way? In this talk, we'll explore the coming convergence of data and compute in the cloud, focusing in particular on Joyent's Manta, a new internet-facing object storage facility that features compute. We will describe the design principles for Manta, the engineering challenges in building it, and more generally, the opportunities presented by the convergence of compute and data.

Inside Triton, July 2015

Casey Bisson

These slides accompanied a live install of Triton Elastic Container Infrastructure as described in the following blog post: https://www.joyent.com/blog/spin-up-a-docker-dev-test-environment-in-60-minutes-or-less Presentation abstract: Hardware hypervisors were a first generation approach to the challenges of resource and security isolation, but they’re unnecessarily shackling operations and developers with limitations that are no longer relevant to containerized deployments. We need bare metal performance, but how can we get the security isolation and elasticity that we need without VMs? Container -- truly secure, bare metal containers -- offer an alternative that improve performance while reducing costs (and CO2 emissions too!). What are they, how do they work, and how does containerization affect my apps?? These slides were presented at: http://www.meetup.com/austin-devops/events/223284754/ http://www.meetup.com/PhillyDevOps/events/223197735/ http://www.meetup.com/DevOpsandAutomationNJ/events/223432942/

Open Yahoo! - An Audience Platform for the Web

Cody Simms

Yahoo! features

Naga14

HackU: IIT Madras: Hacking Yahoo! Social

Saurabh Sahni

Deitel® Series Page How To Program Series Android How to Program C How to Program, 7/E C++ How to Program, 9/E C++ How to Program, Late Objects Version, 7/E Java™ How to Program, 9/E Java™ How to Program, Late Objects Version, 8/E Internet & World Wide Web How to Program, 5/E Visual Basic® 2012 How to Program Visual C#® 2012 How to Program, 5/E Visual C++® 2008 How to Program, 2/E Small Java™ How to Program, 6/E Small C++ How to Program, 5/E Simply Series Simply C++: An App-Driven Tutorial Approach Simply Java™ Programming: An App-Driven Tutorial Approach Simply Visual Basic® 2010, 4/E: An App-Driven Tutorial Approach CourseSmart Web Books www.deitel.com/books/CourseSmart/ C++ How to Program, 7/E, 8/E & 9/E Simply C++: An App-Driven Tutorial Approach Java™ How to Program, 7/E, 8/E & 9/E Simply Visual Basic 2010: An App-Driven Approach, 4/E Visual Basic® 2012 How to Program Visual Basic® 2010 How to Program Visual C#® 2012 How to Program, 5/E Visual C#® 2010 How to Program, 4/E Deitel® Developer Series C++ for Programmers, 2/E Android for Programmers: An App-Driven Approach C# 2010 for Programmers, 3/E Dive Into® iOS 6: An App-Driven Approach iOS 6 for Programmers: An App-Driven Approach Java™ for Programmers, 2/E JavaScript for Programmers LiveLessons Video Learning Products www.deitel.com/books/LiveLessons/ Android® App Development Fundamentals C++ Fundamentals C# Fundamentals iOS 6 App Development Fundamentals Java™ Fundamentals JavaScript Fundamentals Visual Basic® Fundamentals To receive updates on Deitel publications, Resource Centers, training courses, partner offers and more, please register for the free Deitel® Buzz Online e-mail newsletter at: www.deitel.com/newsletter/subscribe.html and join the Deitel communities on Twitter® @deitel Facebook® facebook.com/DeitelFan and Google+ gplus.to/deitel To communicate with the authors, send e-mail to: [email protected] For information on government and corporate Dive-Into® Series on-site seminars offered by Deitel & Associates, Inc. worldwide, visit: www.deitel.com/training/ or write to [email protected] For continuing updates on Prentice Hall/Deitel publications visit: www.deitel.com www.pearsonhighered.com/deitel/ Visit the Deitel Resource Centers that will help you master programming languages, software development, Android and iPhone/iPad app development, and Internet- and web-related topics: www.deitel.com/ResourceCenters.html www.deitel.com/books/LiveLessons/ www.deitel.com/books/CourseSmart/ www.deitel.com/newsletter/subscribe.html www.deitel.com/training/ www.deitel.com www.pearsonhighered.com/deitel/ www.deitel.com/ResourceCenters.html Paul Deitel Deitel & Associates, Inc. Harvey Deitel Deitel & Associates, Inc. Vice President and Editorial Director: Marcia J. Horton Executive Editor: Tracy Johnson Associate Editor: Carole Snyder Director of Marketing: Christy Lesko Marketing Manager: Yezan Alayan Marketing Assistant: Jon Bryant Director of Production:.

Go.vn social pluginsLe Duc

Hacking Developer Relations at Yahoo! Developer Network

Chad Dickerson

Oct. 4, 2011 webcast top 5 tips for building viral social web applications an...

O'Reilly Media

Taken from lessons and technologies from "Programming Social Applications", this webcast will cover the top 5 tips that every web and application developer should know for using social techniques to increase traffic, build viral channels, and increase community involvement. We will look at mistakes that companies make when building social features into websites and applications, and how to prevent and solve those problems with open source technologies and techniques. This will take us on a tour of implementations from real products and showcase how emerging open source social technologies can be used to build rich social ecosystems. Presented by: Jonathan LeBlanc

PresentationRajdeep Kaur

OpenGov v2.0: How do we get from here to there?

Megan Eskey

Barcamphanoi Opensocial Application Development

Hoat Le

Jeteye PowerpointJeteye.Team

Hacking for Innovation: IIT Kharagpur

Saurabh Sahni

Web 2.0 toolsZainuddin Ibrahim

Big Company Hacks at Yahoo!

Chad Dickerson

Student Module 2009 Web 2.0 Tools

carolynb

The Next Generation of Social is in a Hangout

Jonathan Beri

Media kit eventgateeventgate.net

Open Hack Indonesia Keynote

Michael Smith Jr.

How to social share created page turning book

Axel Morgan

Web 2.0Richard Evans

What is the Hangout Showcase App and How Does It WorkRay Hiltz

Connecting Your Social Media

Evelyn McCormack

Developing Mobile Apps for Performance - Swapnil Patel, Verizon Media

Yahoo Developer Network

Athenz - The Open-Source Solution to Provide Access Control in Dynamic Infras...

Yahoo Developer Network

Similar to Yahoo! + Joyent Quickstart

Web 2.0: Making Sense of the Social Web and Its Use in Business - by Rob Marc...

Rob Marchant

Deitel® Series PageHow To Program SeriesAn.docx

theodorelove43763

Go.vn social pluginsLe Duc

Hacking Developer Relations at Yahoo! Developer Network

Chad Dickerson

Oct. 4, 2011 webcast top 5 tips for building viral social web applications an...

O'Reilly Media

PresentationRajdeep Kaur

OpenGov v2.0: How do we get from here to there?

Megan Eskey

Barcamphanoi Opensocial Application Development

Hoat Le

Jeteye PowerpointJeteye.Team

Hacking for Innovation: IIT Kharagpur

Saurabh Sahni

Web 2.0 toolsZainuddin Ibrahim

Big Company Hacks at Yahoo!

Chad Dickerson

Student Module 2009 Web 2.0 Tools

carolynb

The Next Generation of Social is in a Hangout

Jonathan Beri

Media kit eventgateeventgate.net

Open Hack Indonesia Keynote

Michael Smith Jr.

How to social share created page turning book

Axel Morgan

Web 2.0Richard Evans

What is the Hangout Showcase App and How Does It WorkRay Hiltz

Connecting Your Social Media

Evelyn McCormack

Similar to Yahoo! + Joyent Quickstart (20)

Web 2.0: Making Sense of the Social Web and Its Use in Business - by Rob Marc...

Deitel® Series PageHow To Program SeriesAn.docx

Go.vn social plugins

Hacking Developer Relations at Yahoo! Developer Network

Oct. 4, 2011 webcast top 5 tips for building viral social web applications an...

Presentation

OpenGov v2.0: How do we get from here to there?

Barcamphanoi Opensocial Application Development

Jeteye Powerpoint

Hacking for Innovation: IIT Kharagpur

Web 2.0 tools

Big Company Hacks at Yahoo!

Student Module 2009 Web 2.0 Tools

The Next Generation of Social is in a Hangout

Media kit eventgate

Open Hack Indonesia Keynote

How to social share created page turning book

Web 2.0

What is the Hangout Showcase App and How Does It Work

Connecting Your Social Media

More from Yahoo Developer Network

Developing Mobile Apps for Performance - Swapnil Patel, Verizon Media

Yahoo Developer Network

Athenz - The Open-Source Solution to Provide Access Control in Dynamic Infras...

Yahoo Developer Network

Athenz & SPIFFE, Tatsuya Yano, Yahoo Japan

Yahoo Developer Network

Athenz with Istio - Single Access Control Model in Cloud Infrastructures, Tat...

Yahoo Developer Network

CICD at Oath using Screwdriver

Yahoo Developer Network

Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, Oath

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? 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.

How @TwitterHadoop Chose Google Cloud, Joep Rottinghuis, Lohit VijayaRenu

Yahoo Developer Network

The Future of Hadoop in an AI World, Milind Bhandarkar, CEO, Ampool

Yahoo Developer Network

Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...

Yahoo Developer Network

Containerized Services on Apache Hadoop YARN: Past, Present, and Future, Shan...

Yahoo Developer Network

HDFS Scalability and Security, Daryn Sharp, Senior Engineer, Oath

Yahoo Developer Network

Hadoop {Submarine} Project: Running deep learning workloads on YARN, Wangda T...

Yahoo Developer Network

Moving the Oath Grid to Docker, Eric Badger, Oath

Yahoo Developer Network

Architecting Petabyte Scale AI Applications

Yahoo Developer Network

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.

Jun 2017 HUG: YARN Scheduling – A Step Beyond

Yahoo Developer Network

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 Apex

Yahoo 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 Analytics

Yahoo 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.

More from Yahoo Developer Network (20)

Developing Mobile Apps for Performance - Swapnil Patel, Verizon Media

Athenz - The Open-Source Solution to Provide Access Control in Dynamic Infras...

Athenz & SPIFFE, Tatsuya Yano, Yahoo Japan

Athenz with Istio - Single Access Control Model in Cloud Infrastructures, Tat...

CICD at Oath using Screwdriver

Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, Oath

How @TwitterHadoop Chose Google Cloud, Joep Rottinghuis, Lohit VijayaRenu

The Future of Hadoop in an AI World, Milind Bhandarkar, CEO, Ampool

Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...

Containerized Services on Apache Hadoop YARN: Past, Present, and Future, Shan...

HDFS Scalability and Security, Daryn Sharp, Senior Engineer, Oath

Hadoop {Submarine} Project: Running deep learning workloads on YARN, Wangda T...

Moving the Oath Grid to Docker, Eric Badger, Oath

Architecting Petabyte Scale AI Applications

Introduction to Vespa – The Open Source Big Data Serving Engine, Jon Bratseth...

Jun 2017 HUG: YARN Scheduling – A Step Beyond

Jun 2017 HUG: Large-Scale Machine Learning: Use Cases and Technologies

February 2017 HUG: Slow, Stuck, or Runaway Apps? Learn How to Quickly Fix Pro...

February 2017 HUG: Exactly-once end-to-end processing with Apache Apex

February 2017 HUG: Data Sketches: A required toolkit for Big Data Analytics

Recently uploaded

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance

DevOps and Testing slides at DASA Connect

Kari Kakkonen

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Product School

Knowledge engineering: from people to machines and back

Elena Simperl

From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...

Product School

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf

FIDO Alliance

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

Product School

GraphRAG is All You need? LLM & Knowledge Graph

Guy Korland

Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs. 1. Unifying Large Language Models and Knowledge Graphs: A Roadmap. https://arxiv.org/abs/2306.08302 2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs: https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/

The Future of Platform Engineering

Jemma Hussein Allen

How world-class product teams are winning in the AI era by CEO and Founder, P...

Product School

Leading Change strategies and insights for effective change management pdf 1.pdf

OnBoard

When stars align: studies in data quality, knowledge graphs, and machine lear...

Elena Simperl

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

Product School

Bits & Pixels using AI for Good.........

Alison B. Lowndes

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Thierry Lestable

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

Prayukth K V

The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development. The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers: State of global ICS asset and network exposure Sectoral targets and attacks as well as the cost of ransom Global APT activity, AI usage, actor and tactic profiles, and implications Rise in volumes of AI-powered cyberattacks Major cyber events in 2024 Malware and malicious payload trends Cyberattack types and targets Vulnerability exploit attempts on CVEs Attacks on counties – USA Expansion of bot farms – how, where, and why In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East Why are attacks on smart factories rising? Cyber risk predictions Axis of attacks – Europe Systemic attacks in the Middle East Download the full report from here: https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/

Neuro-symbolic is not enough, we need neuro-*semantic*

Frank van Harmelen

Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”. All of this illustrated with link prediction over knowledge graphs, but the argument is general.

Essentials of Automations: Optimizing FME Workflows with Parameters

Safe Software

Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

Monitoring Java Application Security with JDK Tools and JFR Events

Ana-Maria Mihalceanu

Key Trends Shaping the Future of Infrastructure.pdf

Cheryl Hung

Recently uploaded (20)

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

DevOps and Testing slides at DASA Connect

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Knowledge engineering: from people to machines and back

From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

GraphRAG is All You need? LLM & Knowledge Graph

The Future of Platform Engineering

How world-class product teams are winning in the AI era by CEO and Founder, P...

Leading Change strategies and insights for effective change management pdf 1.pdf

When stars align: studies in data quality, knowledge graphs, and machine lear...

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

Bits & Pixels using AI for Good.........

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

State of ICS and IoT Cyber Threat Landscape Report 2024 preview

Neuro-symbolic is not enough, we need neuro-*semantic*

Essentials of Automations: Optimizing FME Workflows with Parameters

Monitoring Java Application Security with JDK Tools and JFR Events

Key Trends Shaping the Future of Infrastructure.pdf