The Scopus Project involves converting journal article headers and references from PDF to XML format. The process includes zoning articles using styles, proofreading content against source files, and converting to XML while inserting required tags as defined in the metadata. Upon completion of zoning, proofing, and conversion, a quality assurance tool is run to identify and fix any errors, warnings or validation issues found.
APIdays Paris 2018 - Building scalable, type-safe GraphQL servers from scratc...apidays
Building scalable, type-safe GraphQL servers from scratch
Johannes Schickling, Founder & CEO, Prisma
Apply to be a speaker here - https://apidays.typeform.com/to/J1snsg
APIdays Paris 2018 - Secure & Manage APIs with GraphQL, Ozair Sheikh, Directo...apidays
Secure & Manage APIs with GraphQL
Ozair Sheikh, Director of API Product Management, IBM
Apply to be a speaker here - https://apidays.typeform.com/to/J1snsg
Benchmark Background:
- Requested by TV Broadcaster for a voting platform
- Choose the best NoSQL DB for the use case
- Push the DB to the max limit
- AWS infrastructure
Goal:
- 2M votes/sec at the best TCO
- 2M Votes = ~7M DB Ops/sec
Tear It Down, Build It Back Up: Empowering Developers with Amazon CloudFormationJames Andrew Vaughn
As a product grows, and the infrastructure becomes more complex, the Operations team traditionally shoulders the burden of maintaining this infrastructure while deploying code from Software Engineers. Code is sometimes given to Operations with little to no information regarding how it should run or what the criteria for successful deployment is. This is not due to lack of caring, Software Engineers often lack the context themselves to provide production deployment instructions. To Software Engineers, production can be like a walled off city, filled with pathways and rooms not to be explored, guarded by Operations.
This presentation aims to provide a solution to this problem. We will address how the traditional separation of Operations and Software Engineers slows innovation, and redefine their relationship -- blending responsibilities. We will examine the transition of two real teams, an Operations team and Engineering team, from complete isolation, to closer environments through virtual machines, to one cloud environment shared by all and managed with CloudFormation.
React is a powerful library for user interfaces. Combined with ReFlux, an add-on library that implements Facebook's flux architecture, structuring an entire front-end application becomes incredibly simple. When your application gets large, React, in combination with some community libraries, offers some important tools to fine-tune your application's performance. Join us as we explore how to get an application built on the Force.com Platform using React.js, ReFlux.js, and some other open source libraries. We'll dive into scaling the application using different tools to measure and tweak performance to get optimal results. Some of these tools and techniques include: - Immutable data structures - Implementation of lifecycle methods - The ReactPerf framework.
APIdays Paris 2018 - Building scalable, type-safe GraphQL servers from scratc...apidays
Building scalable, type-safe GraphQL servers from scratch
Johannes Schickling, Founder & CEO, Prisma
Apply to be a speaker here - https://apidays.typeform.com/to/J1snsg
APIdays Paris 2018 - Secure & Manage APIs with GraphQL, Ozair Sheikh, Directo...apidays
Secure & Manage APIs with GraphQL
Ozair Sheikh, Director of API Product Management, IBM
Apply to be a speaker here - https://apidays.typeform.com/to/J1snsg
Benchmark Background:
- Requested by TV Broadcaster for a voting platform
- Choose the best NoSQL DB for the use case
- Push the DB to the max limit
- AWS infrastructure
Goal:
- 2M votes/sec at the best TCO
- 2M Votes = ~7M DB Ops/sec
Tear It Down, Build It Back Up: Empowering Developers with Amazon CloudFormationJames Andrew Vaughn
As a product grows, and the infrastructure becomes more complex, the Operations team traditionally shoulders the burden of maintaining this infrastructure while deploying code from Software Engineers. Code is sometimes given to Operations with little to no information regarding how it should run or what the criteria for successful deployment is. This is not due to lack of caring, Software Engineers often lack the context themselves to provide production deployment instructions. To Software Engineers, production can be like a walled off city, filled with pathways and rooms not to be explored, guarded by Operations.
This presentation aims to provide a solution to this problem. We will address how the traditional separation of Operations and Software Engineers slows innovation, and redefine their relationship -- blending responsibilities. We will examine the transition of two real teams, an Operations team and Engineering team, from complete isolation, to closer environments through virtual machines, to one cloud environment shared by all and managed with CloudFormation.
React is a powerful library for user interfaces. Combined with ReFlux, an add-on library that implements Facebook's flux architecture, structuring an entire front-end application becomes incredibly simple. When your application gets large, React, in combination with some community libraries, offers some important tools to fine-tune your application's performance. Join us as we explore how to get an application built on the Force.com Platform using React.js, ReFlux.js, and some other open source libraries. We'll dive into scaling the application using different tools to measure and tweak performance to get optimal results. Some of these tools and techniques include: - Immutable data structures - Implementation of lifecycle methods - The ReactPerf framework.
New in Spring Framework 5.0: Functional Web FrameworkVMware Tanzu
In Spring Framework 5.0, we introduced a new, functional web framework, next to the existing annotation-driven programming model. In this talk, we will discuss this new framework: how it is used, what its goals are, how it compares to the annotation model, and other related topics.
Presenter : Arjen Poutsma, Pivotal
Agile software development with its short life cycles and frequent updates poses high risks with respect to breaking existing functionalities and, as a consequence, may compromise the correctness of an application. We discuss the issues and challenges that arise in the context of the data-intensive business applications developed by abuscom and show how certain risks can be mitigated by our approach to API level regression testing.
Flink Forward San Francisco 2019: Managing Flink on Kubernetes - FlinkK8sOper...Flink Forward
Managing Flink on Kubernetes - FlinkK8sOperator
The goal of Lyft is to “Improve people’s lives with the world’s best transportation”. Our product is fundamentally real-time and building a reliable platform that consumes and processes massive amounts of streaming data empowers us to achieve our mission. The advent of containers and Kubernetes has completely changed how we deploy and manage stateless services. At Lyft we have doubled down on Docker containers and Kubernetes for all the services in production. To achieve a homogenous infrastructure we decided to extend Kubernetes to manage stateful streaming services like Flink. We developed the FlinkK8sOperator which leverages Kubernetes CustomResourceDefinition to enable native management of Flink applications on Kubernetes. FlinkK8sOperator employs a state machine that transitions the application through a series of states, until a stable state is attained. Each Flink application on Kubernetes spins up a separate Flink Cluster, with its own UI, providing clear isolation for monitoring and debugging. This talk provides an overview of running Flink applications on Kubernetes using FlinkK8sOperator, showcasing the entire lifecycle of the application from creation to execution, with focus of transitions during deployments and stateful updates, concluding with a demo.
http://www.learntek.org/product/apache-flink/
Apache Flink is an open source stream processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming dataflow engine written in Java and Scala. Apache Flink’s dataflow programming model provides event-at-a-time processing on both finite and infinite datasets. At a basic level, Flink programs consist of streams and transformations. Conceptually, a stream is a (potentially never-ending) flow of data records, and a transformation is an operation that takes one or more streams as input, and produces one or more output streams as a result. Programs can be written in Java, Scala, Python, and SQL and are automatically compiled and optimized into dataflow programs that are executed in a cluster or cloud environment.
http://www.learntek.org
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses. We are dedicated to designing, developing and implementing training programs for students, corporate employees and business professional.
https://www.learntek.org/apache-flink/
https://www.learntek.org/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
Introduction to SQLStreamBuilder: Rich Streaming SQL Interface for Creating a...Eventador
Discover how SQLStreamBuilder enables you to run streaming SQL against unbounded streams of data and create new, persistent streaming jobs.
https://eventador.io/sql-streambuilder/
https://www.learntek.org/apache-flink/
https://www.learntek.org/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
this is the template for the project overview. It should include your 1st rule of thirds, your experts, as well as your cited research to support your problem/solution
New in Spring Framework 5.0: Functional Web FrameworkVMware Tanzu
In Spring Framework 5.0, we introduced a new, functional web framework, next to the existing annotation-driven programming model. In this talk, we will discuss this new framework: how it is used, what its goals are, how it compares to the annotation model, and other related topics.
Presenter : Arjen Poutsma, Pivotal
Agile software development with its short life cycles and frequent updates poses high risks with respect to breaking existing functionalities and, as a consequence, may compromise the correctness of an application. We discuss the issues and challenges that arise in the context of the data-intensive business applications developed by abuscom and show how certain risks can be mitigated by our approach to API level regression testing.
Flink Forward San Francisco 2019: Managing Flink on Kubernetes - FlinkK8sOper...Flink Forward
Managing Flink on Kubernetes - FlinkK8sOperator
The goal of Lyft is to “Improve people’s lives with the world’s best transportation”. Our product is fundamentally real-time and building a reliable platform that consumes and processes massive amounts of streaming data empowers us to achieve our mission. The advent of containers and Kubernetes has completely changed how we deploy and manage stateless services. At Lyft we have doubled down on Docker containers and Kubernetes for all the services in production. To achieve a homogenous infrastructure we decided to extend Kubernetes to manage stateful streaming services like Flink. We developed the FlinkK8sOperator which leverages Kubernetes CustomResourceDefinition to enable native management of Flink applications on Kubernetes. FlinkK8sOperator employs a state machine that transitions the application through a series of states, until a stable state is attained. Each Flink application on Kubernetes spins up a separate Flink Cluster, with its own UI, providing clear isolation for monitoring and debugging. This talk provides an overview of running Flink applications on Kubernetes using FlinkK8sOperator, showcasing the entire lifecycle of the application from creation to execution, with focus of transitions during deployments and stateful updates, concluding with a demo.
http://www.learntek.org/product/apache-flink/
Apache Flink is an open source stream processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming dataflow engine written in Java and Scala. Apache Flink’s dataflow programming model provides event-at-a-time processing on both finite and infinite datasets. At a basic level, Flink programs consist of streams and transformations. Conceptually, a stream is a (potentially never-ending) flow of data records, and a transformation is an operation that takes one or more streams as input, and produces one or more output streams as a result. Programs can be written in Java, Scala, Python, and SQL and are automatically compiled and optimized into dataflow programs that are executed in a cluster or cloud environment.
http://www.learntek.org
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses. We are dedicated to designing, developing and implementing training programs for students, corporate employees and business professional.
https://www.learntek.org/apache-flink/
https://www.learntek.org/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
Introduction to SQLStreamBuilder: Rich Streaming SQL Interface for Creating a...Eventador
Discover how SQLStreamBuilder enables you to run streaming SQL against unbounded streams of data and create new, persistent streaming jobs.
https://eventador.io/sql-streambuilder/
https://www.learntek.org/apache-flink/
https://www.learntek.org/
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
this is the template for the project overview. It should include your 1st rule of thirds, your experts, as well as your cited research to support your problem/solution
Setting Up CircleCI Workflows for Your Salesforce AppsDaniel Stange
Circle CI webinar held by Daniel Stange June 27th, 2018.
Salesforce has been investing a lot into their developer experience, including making it easier to continuously update and improve Salesforce apps via the process of continuous integration and delivery. If you've been looking to incorporate more DevOps practices into your Salesforce app development, or are simply looking for a tutorial on CI/CD for Salesforce apps, this webinar is for you.
Presentation for Stichting DotNed in 2015:
Microsoft neemt ASP.NET op de schop. Het web applicatie framework uit .NET 1.0 wordt grotendeels herschreven om te voldoen aan de eisen die men tegenwoordig stelt aan het realiseren van een moderne web applicatie. Deze sessie kijken we naar de nieuwe opzet van ASP.NET. We zien hoe Microsoft daarmee een cloud geoptimaliseerd, cross-platform framework creeert, dat zij zelf sneller kunnen laten evolueren door kortere release cycles. Dit alles betekent wel dat ASP.NET anders is geworden. In deze sessie leer je daarom ook wat er is veranderd, hoe je aan de slag gaat en waarom ASP.NET vNext een revolutionaire stap is in Microsoft's framework.
Introduction to angular with a simple but complete projectJadson Santos
A simple front end project with angular. Its show how to create your first components, include bootstrap templates, create routes and build the project to production.
Laying the Foundation for Ionic Platform Insights on SparkIonic Security
The Ionic Analytics team shares insights about the system they built using Spark and Databricks to enable low cost, flexible reporting and lay a foundation for advanced analytics.
These slides were originally presented at the Databricks Data+ML Workshop entitled "Unify Data Pipelines with Machine Learning" on Tuesday September 11 2018 in Atlanta, GA.
DevOpsDays Houston 2019 - Shaun Ladewig, Robert Stone - From OverTheWallOps t...DevOpsDays Houston
Is your organization suffering from “Over the Wall Ops?” The road to production is fraught with danger and risks, learn how Endurance is tackling the problem, lowering risk, and speeding up launches by having Development and Operations work hand in hand leveraging OpenShift! Join us for a real-world case study from both sides, Shaun Ladewig (System Architect) presents lessons learned in understanding, deploying, and managing an OpenShift cluster while Robert Stone (Principal Software Engineer) outlines how that cluster is used to stand up, deploy, and re-tool our monoliths to fit a more container-based architecture.
David Max SATURN 2018 - Migrating from Oracle to EspressoDavid Max
This talk is about our experience at LinkedIn migrating our content ingestion system from using Oracle to using our internal database system Espresso. I explain some of the reasons for doing the migration as well as how we met the challenges of swapping database technologies with no down time and in a way that was transparent to our clients.
This talk was delivered at the SATURN 2018 conference in Plano, TX on May 9, 2018.
Introduction to Module Development with Appcelerator TitaniumAaron Saunders
VIDEO: http://bit.ly/P1UlGr starts at 1:13
Overview of creating modules with Appcelerator Titanium. We integrate SkyhookWireless location SDK and Card.io mobile card sdk
Source:
Source code for ios cardio module presented at @codestrong http://bit.ly/PQlsW9
Source code for android skyhookwireless module presented at @codestrong http://bit.ly/z4zfdl
Keynote at COMMitMDE'18 showing the basic concepts behind Hawk, our past case studies, and some of our experience in designing the Hawk Thrift APIs for remote model querying.
Tokyo Azure Meetup #7 - Introduction to Serverless Architectures with Azure F...Tokyo Azure Meetup
Serverless architecture is the next big shift in computing - completely abstracting the underlying infrastructure and focusing 100% on the business logic.
Today we can create applications directly in our browser and leave the decision how they are hosted and scaled to the cloud provider. Moreover, this approach give us incredible control over the granularity of our applications since most of the time we are dealing with single function at a time.
In this presentation we will cover:
• Introduce Serverless Architectures
• Talk about the advantages of Serverless Architectures
• Discuss in details in event-driven computing
• Cover common Serverless approaches
• See practical applications with Azure Functions
• Compare AWS Lambda and Azure Functions
• Talk about open source alternatives
• Explore the relation between Microservices and Serverless Architectures
See what all the noise is about with workflow for SharePoint 2013. In this session we'll look at the architectural changes that are at the heart of the new SharePoint 2013 workflow platform as well as the enhancements to the design experiences. We'll talk about what this means to both SharePoint developers and end users alike.
2. Description
• Scopus Project is conversion of Header (CA) and
Header+Reference (CAR). CA stands for Citation and
Abstract and CAR stands for Citation, Abstract and
references
4. Zoning
• Zoning needs to perform based on DDN environment
• Apply all required styles for Header and References.
5. Process:
• PDF to XML Conversion
I. Zoning
II. Content Proofing
III. XML Conversion
6. Content Proofing
• Perform proofing carefully and make sure to clear all
the suspects.
• All suspects must be compare with source file.
• After clearing all suspects export the article.
9. XML Conversion
• After completing the earlier stages Zoning and content
proofing we need to download JobID for XML conversion
using PowerIzec downloader.
• In XML conversion Part we need to check and insert all
tags as per metadata.
10. QA and Validation:
• Run QA tool and fix all QA tool errors, warnings and
validation errors.