This is the second of a three-part series. The following is the agenda for Part 2 –
Review of DocumentDB REST API
Understanding the overall problem
High-level Design
How Swagger fits in
Design and development
Next steps
This session will use a real project we've been working on to talk about how Resource Templates work, why you should use them and a raft of tips and tricks learned along the way. The example is built around Azure IaaS components (virtual networks, machines etc), but the template model is standard across the Azure provider stack. Resource Templates are a standard method for deploying complex environments within Azure (and will be used for the private cloud Azure Stack, too), so if you are working on cloud projects in Azure, you absolutely need to know this stuff!
A well-known Healthcare organization engaged us to create an patient portal on Azure. They were planning on migrating from Salesforce to CRMOL. They were currently using Salesforce and we needed to synchronize Patient records between the CRMOL Patient Portal and Salesforce. We were asked to use the HL7 FHIR standard for all Patient records. Two major requirements that we needed to include were:
Logging of records sent from CRMOL Portal
They needed a way to view any errors that occur within the workflow.
We will take a look at how we solved the problem.
Azure DocumentDB for Healthcare IntegrationBizTalk360
This document provides an overview of using Azure DocumentDB as a HL7 document repository for healthcare integration. It discusses DocumentDB features like JSON documents, indexing, CRUD operations, and querying. Example use cases for a HL7 document repository using DocumentDB are presented, including personal health records, document sharing, decision support, and patient demographics. The document concludes by previewing the design of an Azure API connector app for DocumentDB and a Logic App for HL7 FHIR.
Analyze and visualize non-relational data with DocumentDB + Power BISriram Hariharan
The session will show how to do Analyze and visualize non-relational data with DocumentDB + Power BI. We are in the midst of a paradigm shift on how we store and analyze data. Unstructured or flexible schema data represents a large portion of data within an organization. Everyone is obsessed to turn this data into meaningful business information. Unstructured data analytics do not need to be time consuming and complex. Come learn how to analyze and visualize unstructured data in DocumentDB.
High level look at RavenDB features presented as a 10 minute lightning talk at the Nov 19 2013 BTVWag.org meeting of 8 lightning talks on NoSQL databases.
This document provides an overview of configuration options in Azure, including application settings, App Configuration, Key Vault, and Managed Identities for Azure Resources. It begins with an introduction to configuration and then discusses each option in more detail, providing demos of application settings, App Configuration, and Key Vault. The document emphasizes that these tools can help centralize and secure configuration across environments while simplifying administration.
MongoDB has been conceived for the cloud age. Making sure that MongoDB is compatible and performant around cloud providers is mandatory to achieve complete integration with platforms and systems. Azure is one of biggest IaaS platforms available and very popular amongst developers that work on Microsoft Stack.
This session will use a real project we've been working on to talk about how Resource Templates work, why you should use them and a raft of tips and tricks learned along the way. The example is built around Azure IaaS components (virtual networks, machines etc), but the template model is standard across the Azure provider stack. Resource Templates are a standard method for deploying complex environments within Azure (and will be used for the private cloud Azure Stack, too), so if you are working on cloud projects in Azure, you absolutely need to know this stuff!
A well-known Healthcare organization engaged us to create an patient portal on Azure. They were planning on migrating from Salesforce to CRMOL. They were currently using Salesforce and we needed to synchronize Patient records between the CRMOL Patient Portal and Salesforce. We were asked to use the HL7 FHIR standard for all Patient records. Two major requirements that we needed to include were:
Logging of records sent from CRMOL Portal
They needed a way to view any errors that occur within the workflow.
We will take a look at how we solved the problem.
Azure DocumentDB for Healthcare IntegrationBizTalk360
This document provides an overview of using Azure DocumentDB as a HL7 document repository for healthcare integration. It discusses DocumentDB features like JSON documents, indexing, CRUD operations, and querying. Example use cases for a HL7 document repository using DocumentDB are presented, including personal health records, document sharing, decision support, and patient demographics. The document concludes by previewing the design of an Azure API connector app for DocumentDB and a Logic App for HL7 FHIR.
Analyze and visualize non-relational data with DocumentDB + Power BISriram Hariharan
The session will show how to do Analyze and visualize non-relational data with DocumentDB + Power BI. We are in the midst of a paradigm shift on how we store and analyze data. Unstructured or flexible schema data represents a large portion of data within an organization. Everyone is obsessed to turn this data into meaningful business information. Unstructured data analytics do not need to be time consuming and complex. Come learn how to analyze and visualize unstructured data in DocumentDB.
High level look at RavenDB features presented as a 10 minute lightning talk at the Nov 19 2013 BTVWag.org meeting of 8 lightning talks on NoSQL databases.
This document provides an overview of configuration options in Azure, including application settings, App Configuration, Key Vault, and Managed Identities for Azure Resources. It begins with an introduction to configuration and then discusses each option in more detail, providing demos of application settings, App Configuration, and Key Vault. The document emphasizes that these tools can help centralize and secure configuration across environments while simplifying administration.
MongoDB has been conceived for the cloud age. Making sure that MongoDB is compatible and performant around cloud providers is mandatory to achieve complete integration with platforms and systems. Azure is one of biggest IaaS platforms available and very popular amongst developers that work on Microsoft Stack.
This document provides an overview of the RavenDB NoSQL document database. It begins with an introduction to NoSQL databases and describes the main classes. It then discusses RavenDB specifically - including that it is a transactional document database, is open source, and uses JSON storage with LINQ querying. Options for hosting RavenDB are presented. The document demonstrates basic CRUD operations on documents as well as modeling data, indexing, and advanced querying features like full-text search. It also briefly mentions upcoming RavenDB 3.0 features.
RavenDB is a document database built on .NET that stores data in JSON format. It provides a .NET client API for CRUD and querying operations using LINQ. Key features include dynamic and static indexing for querying, scalability through sharding and replication, and a schema-free design. The document covers an overview of NoSQL databases, RavenDB architecture and features, and development with the .NET client API. Additional topics like advanced querying, server administration, and deployment options are recommended for further learning.
Build 2017 - P4010 - A lap around Azure HDInsight and Cosmos DB Open Source A...Windows Developer
Recently, we released the Spark Connector for our distributed NoSQL service – Azure Cosmos DB (formerly known as Azure DocumentDB). By connecting Apache Spark running on top Azure HDInsight to Azure Cosmos DB, you can accelerate your ability to solve fast-moving data science problems and machine learning. The Spark to Azure Cosmos DB connector efficiently exploits the native Cosmos DB managed indexes and enables updateable columns when performing analytics, push-down predicate filtering against fast-changing globally-distributed data, ranging from IoT, data science, and analytics scenarios. Come learn how you can perform blazing fast planet-scale data processing with Azure Cosmos DB and HDInsight.
Getting started with Azure Cognitive Services provides an introduction to Cognitive Services and demonstrates how to use them. The document outlines the five pillars of Cognitive Services - Decision, Speech, Language, Vision, and Search. It also discusses pricing models and security considerations for using Cognitive Services, including Microsoft's roles as both a data processor and independent data controller for different services. The presentation concludes by emphasizing the breadth of Cognitive Services and highlighting resources for learning more.
My slides for the session I held at Azure Bootcamp Bulgaria 2016. This presentation will work you through the basics of Azure Search and show you how to build a sample application using ASP.NET Web API and KnockoutJS for databinding.
Azure DocumentDB is a fully managed NoSQL document database by Microsoft that stores data as JSON documents. It offers high scalability, availability, and performance. The .NET API provides asynchronous methods for CRUD operations on DocumentDB resources like databases, collections, and documents. Queries can be performed using SQL or LINQ and results are returned as .NET objects or in a paged feed. DocumentDB is currently in preview and accessible via the Azure portal.
This document discusses setting up RavenDB, a NoSQL document database, on an Azure virtual machine. It provides steps to create a VM, attach a disk, download and run RavenDB servers, configure endpoints and port mapping, set up master-slave database replication, add and query data, and demonstrate failover. RavenDB is an open source .NET document database that uses Lucene.NET for indexing and search capabilities.
This document summarizes a presentation about DocumentDB on Azure. It discusses what DocumentDB is, how it works as a fully managed NoSQL database, and some key features for developers. DocumentDB allows storing and querying JSON documents, offers tunable consistency levels, and exposes APIs for common languages like .NET, Node.js, and Python. The presentation provides an overview of DocumentDB's capabilities and when it would be a good fit compared to relational databases or other document stores.
The document discusses front-end databases and IndexedDB. It provides an overview of IndexedDB, describing it as an advanced key-value data management system that allows storage of large numbers of objects locally and fast insertion/extraction. It outlines some of IndexedDB's capabilities and limitations. The document then details aspects of the IndexedDB API like opening a database, creating object stores and indexes, performing transactions, and using cursors. It notes the API is verbose and asynchronous. Finally, it recommends libraries like PouchDB that provide a simpler wrapper for IndexedDB and discusses the presenter's angular2-indexeddb library.
No SQL, No Problem: Use Azure DocumentDBKen Cenerelli
Introduction to Microsoft Azure DocumentDB. The slides have sections on Overview, Resource Model, Data Modeling, Performance, Development, Pricing and DocumentDB resources.
This talk was given at the following locales:
- DevTeach Montreal (July 6, 2016)
1er décembre 2015
Groupe Azure
Sujet: Introduction à DocumentDB
Conférencier: Vicent-Philippe Lauzon, Microsoft
Azure DocumentDB est une base de données de type NoSQL. Lors de cette introduction à DocumentDB, vous verrez:
• Ce qu'est une base de données NoSQL
• Comment DocumentDB se compare t-il face aux autres base de données Azure
• Comment DocumentDB se compare t-il face aux autres base de données NoSQL
• Comment créer et gérer une base DocumentDB
• Comment l'utiliser (outils + C#)
• Sécurité
• Performance / Capacité
Vincent-Philippe Lauzon est un Microsoft Azure Solution Architect & Machine Learning / Consultant Sénior chez CGI. Vous pouvez lire son blog http://vincentlauzon.com et le suivre sur Twitter https://twitter.com/vplauzon
Apache Knox Gateway "Single Sign On" expands the reach of the Enterprise UsersDataWorks Summit
Apache Knox Gateway is a proxy for interacting with Apache Hadoop clusters in a secure way providing authentication, service level authorization, and many other extensions to secure any HTTP interactions in your cluster. One main feature of Apache Knox Gateway is the ability to extend the reach of your REST APIs to the internet while still securing your cluster and working with Kerberos. Recent contributions to the Apache Knox community have added support for Single Sign On (SSO) based on Pac4j 1.8.9 which is a very powerful security engine which provides SSO support through SAML2, OAuth, OpenID, and CAS. In addition, through recent community contributions Apache Ambari, and Apache Ranger can now also provide SSO authentication through Knox. This paper will discuss the architecture of Knox SSO, it will explain how enterprise user could benefit by this feature and will present enterprise use cases for Knox SSO, and integration with open source Shibboleth, ADFS Windows server Idp support, and Okta cloud Idp.
Thinking in a document centric world with RavenDB by Nick JosevskiNick Josevski
RavenDB is a document database built with .NET that uses an index store for queries and a document store for single document loads. It supports eventual consistency through indexing where the index may be stale. Documents can contain complex object graphs and the database is schema-free. Queries use LINQ and documents can be loaded with associated documents using session.Include. Indexes must be defined for fields to be queryable and mappers can be used for multi-type queries or aggregation. Profiling is integrated for ASP.NET applications and documents are typically structured as single documents, parent/child relationships, or networks of documents.
The document provides an overview of the key components and features of a data center application. It describes the integrated data model, search, and views. It also outlines how the data center allows users to define data sources, annotators, thesauri, custom views, and extendable search. Dashboards can include replaceable modules and standard gadgets. The architecture uses OSGi, VAADIN, Sesame, and JackRabbit and the roadmap includes internationalization and collaboration features.
IndexedDB - An Efficient Way to Manage Datasara stanford
A web browser standard interface for a local database of records Holds simple values and hierarchical objects. An API for client-side storage of significant amounts of structured data Exhibits High performance. Storage and retrieval done through keys or indexes
PHD Virtual: Recovering SharePoint and Exchange Server DataMark McHenry
Troy Ronning of Kroll Ontrack is the featured speaker joining the PHD Virtual team to describe how to recover SharePoint and Exchange Server Data. PHD Virtual has partnered with Kroll Ontrack and offers Kroll's granular Sharepoint and Exchange server recovery in the enterprise edition of PHD Virtual v6.5.
This document provides an overview of SQL and how to access and manipulate data in a MySQL database from PHP. It discusses database strengths like querying and sorting data. It defines SQL commands like SELECT, UPDATE, DELETE, and INSERT and provides examples. It also outlines how to connect to a MySQL database from PHP using mysqli functions, establish a connection, and run queries.
A Complete BI Solution in About an Hour!Aaron King
In this presentation Aaron will cover how to collect data from multiple sources using SQL Server 2012 Integration Services (SSIS). Then he will use SQL Server Reporting Services (SSRS) to report detail on that data. After that he will use SQL Server Analysis Services (SSAS) to create a KPI. Finally he’ll present that KPI on a dashboard via a web page. The goal of this presentation is to show how seamless the Microsoft Business Intelligence products are. If you’ve only used a few of these products, you’ll appreciate seeing them together all at once. Code will be provided.
ArangoDB is a multi-model database that can be used as a document store, key-value store, and graph database. It offers queries across different data models using its query language AQL. Developers can also extend its functionality through JavaScript modules. ArangoDB can run on Apache Mesos clusters to provide automatic scaling and fault tolerance. It aims to provide polyglot persistence through a single database technology.
This document provides an overview and agenda for a presentation on Azure DocumentDB. It begins with an introduction to DocumentDB, then covers getting started by setting it up in Azure, how to work with it using C#, cost and usage details, use cases and limitations. Key points are that DocumentDB is a fully-managed NoSQL document database with horizontal scalability. It provides a familiar programming model and common database functions like indexing, consistency options, and stored procedures.
Presented in DDD Melbourne on on Sat Aug 8th 2015
Himanshu Desai, Ahmed El-Harouny & Daniel Janczak
DocumentDB, Mongo or RavenDB? If you are starting out on a new project and considering NoSQL database as an option, which one should you do choose? What if the option you choose today may not work out to be the best one for your needs?
Come and join us for this session, we will take you on a journey where we will explain each of these database on their merits and compare them and also share War stories.
http://dddmelbourne.com
This document provides an overview of the RavenDB NoSQL document database. It begins with an introduction to NoSQL databases and describes the main classes. It then discusses RavenDB specifically - including that it is a transactional document database, is open source, and uses JSON storage with LINQ querying. Options for hosting RavenDB are presented. The document demonstrates basic CRUD operations on documents as well as modeling data, indexing, and advanced querying features like full-text search. It also briefly mentions upcoming RavenDB 3.0 features.
RavenDB is a document database built on .NET that stores data in JSON format. It provides a .NET client API for CRUD and querying operations using LINQ. Key features include dynamic and static indexing for querying, scalability through sharding and replication, and a schema-free design. The document covers an overview of NoSQL databases, RavenDB architecture and features, and development with the .NET client API. Additional topics like advanced querying, server administration, and deployment options are recommended for further learning.
Build 2017 - P4010 - A lap around Azure HDInsight and Cosmos DB Open Source A...Windows Developer
Recently, we released the Spark Connector for our distributed NoSQL service – Azure Cosmos DB (formerly known as Azure DocumentDB). By connecting Apache Spark running on top Azure HDInsight to Azure Cosmos DB, you can accelerate your ability to solve fast-moving data science problems and machine learning. The Spark to Azure Cosmos DB connector efficiently exploits the native Cosmos DB managed indexes and enables updateable columns when performing analytics, push-down predicate filtering against fast-changing globally-distributed data, ranging from IoT, data science, and analytics scenarios. Come learn how you can perform blazing fast planet-scale data processing with Azure Cosmos DB and HDInsight.
Getting started with Azure Cognitive Services provides an introduction to Cognitive Services and demonstrates how to use them. The document outlines the five pillars of Cognitive Services - Decision, Speech, Language, Vision, and Search. It also discusses pricing models and security considerations for using Cognitive Services, including Microsoft's roles as both a data processor and independent data controller for different services. The presentation concludes by emphasizing the breadth of Cognitive Services and highlighting resources for learning more.
My slides for the session I held at Azure Bootcamp Bulgaria 2016. This presentation will work you through the basics of Azure Search and show you how to build a sample application using ASP.NET Web API and KnockoutJS for databinding.
Azure DocumentDB is a fully managed NoSQL document database by Microsoft that stores data as JSON documents. It offers high scalability, availability, and performance. The .NET API provides asynchronous methods for CRUD operations on DocumentDB resources like databases, collections, and documents. Queries can be performed using SQL or LINQ and results are returned as .NET objects or in a paged feed. DocumentDB is currently in preview and accessible via the Azure portal.
This document discusses setting up RavenDB, a NoSQL document database, on an Azure virtual machine. It provides steps to create a VM, attach a disk, download and run RavenDB servers, configure endpoints and port mapping, set up master-slave database replication, add and query data, and demonstrate failover. RavenDB is an open source .NET document database that uses Lucene.NET for indexing and search capabilities.
This document summarizes a presentation about DocumentDB on Azure. It discusses what DocumentDB is, how it works as a fully managed NoSQL database, and some key features for developers. DocumentDB allows storing and querying JSON documents, offers tunable consistency levels, and exposes APIs for common languages like .NET, Node.js, and Python. The presentation provides an overview of DocumentDB's capabilities and when it would be a good fit compared to relational databases or other document stores.
The document discusses front-end databases and IndexedDB. It provides an overview of IndexedDB, describing it as an advanced key-value data management system that allows storage of large numbers of objects locally and fast insertion/extraction. It outlines some of IndexedDB's capabilities and limitations. The document then details aspects of the IndexedDB API like opening a database, creating object stores and indexes, performing transactions, and using cursors. It notes the API is verbose and asynchronous. Finally, it recommends libraries like PouchDB that provide a simpler wrapper for IndexedDB and discusses the presenter's angular2-indexeddb library.
No SQL, No Problem: Use Azure DocumentDBKen Cenerelli
Introduction to Microsoft Azure DocumentDB. The slides have sections on Overview, Resource Model, Data Modeling, Performance, Development, Pricing and DocumentDB resources.
This talk was given at the following locales:
- DevTeach Montreal (July 6, 2016)
1er décembre 2015
Groupe Azure
Sujet: Introduction à DocumentDB
Conférencier: Vicent-Philippe Lauzon, Microsoft
Azure DocumentDB est une base de données de type NoSQL. Lors de cette introduction à DocumentDB, vous verrez:
• Ce qu'est une base de données NoSQL
• Comment DocumentDB se compare t-il face aux autres base de données Azure
• Comment DocumentDB se compare t-il face aux autres base de données NoSQL
• Comment créer et gérer une base DocumentDB
• Comment l'utiliser (outils + C#)
• Sécurité
• Performance / Capacité
Vincent-Philippe Lauzon est un Microsoft Azure Solution Architect & Machine Learning / Consultant Sénior chez CGI. Vous pouvez lire son blog http://vincentlauzon.com et le suivre sur Twitter https://twitter.com/vplauzon
Apache Knox Gateway "Single Sign On" expands the reach of the Enterprise UsersDataWorks Summit
Apache Knox Gateway is a proxy for interacting with Apache Hadoop clusters in a secure way providing authentication, service level authorization, and many other extensions to secure any HTTP interactions in your cluster. One main feature of Apache Knox Gateway is the ability to extend the reach of your REST APIs to the internet while still securing your cluster and working with Kerberos. Recent contributions to the Apache Knox community have added support for Single Sign On (SSO) based on Pac4j 1.8.9 which is a very powerful security engine which provides SSO support through SAML2, OAuth, OpenID, and CAS. In addition, through recent community contributions Apache Ambari, and Apache Ranger can now also provide SSO authentication through Knox. This paper will discuss the architecture of Knox SSO, it will explain how enterprise user could benefit by this feature and will present enterprise use cases for Knox SSO, and integration with open source Shibboleth, ADFS Windows server Idp support, and Okta cloud Idp.
Thinking in a document centric world with RavenDB by Nick JosevskiNick Josevski
RavenDB is a document database built with .NET that uses an index store for queries and a document store for single document loads. It supports eventual consistency through indexing where the index may be stale. Documents can contain complex object graphs and the database is schema-free. Queries use LINQ and documents can be loaded with associated documents using session.Include. Indexes must be defined for fields to be queryable and mappers can be used for multi-type queries or aggregation. Profiling is integrated for ASP.NET applications and documents are typically structured as single documents, parent/child relationships, or networks of documents.
The document provides an overview of the key components and features of a data center application. It describes the integrated data model, search, and views. It also outlines how the data center allows users to define data sources, annotators, thesauri, custom views, and extendable search. Dashboards can include replaceable modules and standard gadgets. The architecture uses OSGi, VAADIN, Sesame, and JackRabbit and the roadmap includes internationalization and collaboration features.
IndexedDB - An Efficient Way to Manage Datasara stanford
A web browser standard interface for a local database of records Holds simple values and hierarchical objects. An API for client-side storage of significant amounts of structured data Exhibits High performance. Storage and retrieval done through keys or indexes
PHD Virtual: Recovering SharePoint and Exchange Server DataMark McHenry
Troy Ronning of Kroll Ontrack is the featured speaker joining the PHD Virtual team to describe how to recover SharePoint and Exchange Server Data. PHD Virtual has partnered with Kroll Ontrack and offers Kroll's granular Sharepoint and Exchange server recovery in the enterprise edition of PHD Virtual v6.5.
This document provides an overview of SQL and how to access and manipulate data in a MySQL database from PHP. It discusses database strengths like querying and sorting data. It defines SQL commands like SELECT, UPDATE, DELETE, and INSERT and provides examples. It also outlines how to connect to a MySQL database from PHP using mysqli functions, establish a connection, and run queries.
A Complete BI Solution in About an Hour!Aaron King
In this presentation Aaron will cover how to collect data from multiple sources using SQL Server 2012 Integration Services (SSIS). Then he will use SQL Server Reporting Services (SSRS) to report detail on that data. After that he will use SQL Server Analysis Services (SSAS) to create a KPI. Finally he’ll present that KPI on a dashboard via a web page. The goal of this presentation is to show how seamless the Microsoft Business Intelligence products are. If you’ve only used a few of these products, you’ll appreciate seeing them together all at once. Code will be provided.
ArangoDB is a multi-model database that can be used as a document store, key-value store, and graph database. It offers queries across different data models using its query language AQL. Developers can also extend its functionality through JavaScript modules. ArangoDB can run on Apache Mesos clusters to provide automatic scaling and fault tolerance. It aims to provide polyglot persistence through a single database technology.
This document provides an overview and agenda for a presentation on Azure DocumentDB. It begins with an introduction to DocumentDB, then covers getting started by setting it up in Azure, how to work with it using C#, cost and usage details, use cases and limitations. Key points are that DocumentDB is a fully-managed NoSQL document database with horizontal scalability. It provides a familiar programming model and common database functions like indexing, consistency options, and stored procedures.
Presented in DDD Melbourne on on Sat Aug 8th 2015
Himanshu Desai, Ahmed El-Harouny & Daniel Janczak
DocumentDB, Mongo or RavenDB? If you are starting out on a new project and considering NoSQL database as an option, which one should you do choose? What if the option you choose today may not work out to be the best one for your needs?
Come and join us for this session, we will take you on a journey where we will explain each of these database on their merits and compare them and also share War stories.
http://dddmelbourne.com
These slides gives an overview of NoSQL in the context of Big Data processing. We start by defining SQL vs NoSQL concepts, the CAP theorem, and why NoSQL technologies are needed. Then we discuss the various NoSQL technology breeds, including Key/Value stores, Document stores, Column Family (wide-column) stores, memory cache stores, and graph stores, along with related tools and examples. After that we present various solution architecture patterns, in which NoSQL data stores play viable roles. Next we delve into Microsoft Azure implementation of some of these NoSQL technologies, including Redis Cache, Azure Table Storage, HBase on HDInsight, and Azure DocumentDB. Finally, we conclude with some useful resource, before we give a sneak peek on how to use neo4j for Graph Processing.
This session will explore a mobile app that can read NFC tags embedded in conference badges, and then translate those to sales leads stored directly in popular SaaS CRM providers. To accomplish this, we will see how to build a custom Push Trigger API App for a Logic App, and then how to invoke a callback from a mobile device. We will also configure the Logic App to receive device events and provide integration with SaaS applications such as Salesforce. Once we have the basics established, we'll dip briefly into the world of Windows IoT to explore a push-button push trigger.
SQL Server vs. Azure DocumentDB – Ein Battle zwischen XML und JSONSascha Dittmann
Seit dem SQL Server 2000 hielt Stück für Stück die XML-Unterstützung Einzug in die Microsoft RDBMS Welt.
Mit der Azure DocumentDB kam die zweite, hauseigene NoSQL-Datenbank in der Microsoft Cloud hinzu, welche die Daten im JSON-Format verarbeitet.
In dieser Session werden wir anhand eines Praxisbeispiels step-by-step, d.h. von den vorbereitenden Schritten, über das Schreiben bis hin zum Lesen der Daten, diese beiden Technologien gegenüberstellen.
Dabei arbeiten wir die Vor- und Nachteile der einzelnen Ansätze heraus und zeigen Best Practices auf.
This document discusses creating a database and document collection in Azure Cosmos DB. It shows code to instantiate a DocumentClient, create a database called "Sales", and then create a document collection within that database called "SalesCollection". Links are also provided to the author's blog and the Azure Cosmos DB documentation.
This document provides an overview of Azure DocumentDB presented by Marco Parenzan. Key points include:
- DocumentDB is a fully managed NoSQL database that is schema-agnostic and scalable.
- It allows for tunable consistency levels and indexing policies. Queries use a familiar SQL syntax.
- Documents are stored in JSON format across collections within databases.
- DocumentDB has appeal for developers as documents map directly to JSON and objects, requiring no ORM.
- The document discusses strategies like using view models and data normalization versus embedding versus referencing.
- It also covers the resource model, performance, partitioning, indexing, querying, and programmability features of DocumentDB
SQL Saturday #313 Rheinland - MapReduce in der PraxisSascha Dittmann
Das Programmiermodel MapReduce, welches vor einigen Jahren von Google veröffentlicht wurde, hat Einzug in zahlreiche Systeme erhalten. Dabei wurde es sowohl als eigenständiges System, wie beispielweise bei Hadoop, Disco oder Amazon Elastic MapReduce, aber auch als Abfragesprache innerhalb größerer Systeme, wie beispielweise bei MongoDB, Greenplum DB oder Aster Data, implementiert. Diese Session stellt gängige Problemstellungen aus der Praxis vor und wie diese mit dem MapReduce Framework von Microsoft HDInsight umgesetzt werden können.
Applications have to be integrated – no matter which programming languages, databases or infrastructures are used. However, the realization of integration scenarios is a complex and time-consuming task. Over 10 years ago, Enteprise Integration Patterns (EIP) became the world wide defacto standard for splitting huge, complex integration scenarios into smaller recurring problems. These patterns appear in almost every integration project.
This session revisits EIPs and gives shows status quo. After giving a short introduction with several examples, the audience will learn which EIPs still have a „right to exist“, and which new EIPs emerged in the meantime. The end of the session shows different frameworks and tools which already implement EIPs and therefore help the architect to reduce efforts a lot.
Enterprise Cloud Data Platforms - with Microsoft AzureKhalid Salama
These slides gives an overview on MS Azure Data Architecture and Services, including Data Lake Analytics, Data Factory, Azure SQL DW, Stream Analytics, Azure Machine learning tools, and Data Catalog. This is also known as Cortana Analytical Suite
Benjamin Guinebertière - Microsoft Azure: Document DB and other noSQL databas...NoSQLmatters
When deploying your service to Microsoft Azure, you have a number of options in terms of noSQL: you can install databases on Linux or Windows virtual machines by yourself, or via the marketplace, or you can use open source databases available as a service like HBase or proprietary and managed databases like Document DB. After showing these options, we'll show Document DB in more details. This is a noSQL database as a service that stores JSON.
Building IoT and Big Data Solutions on AzureIdo Flatow
This document discusses building IoT and big data solutions on Microsoft Azure. It provides an overview of common data types and challenges in integrating diverse data sources. It then describes several Azure services that can be used to ingest, process, analyze and visualize IoT and other large, diverse datasets. These services include IoT Hub, Event Hubs, Stream Analytics, HDInsight, Data Factory, DocumentDB and others. Examples and demos are provided for how to use these services to build end-to-end IoT and big data solutions on Azure.
The document discusses reference architectures for building big data applications with Internet of Things (IoT) technologies. It describes an IoT reference architecture that includes components for device connectivity, data processing/analytics, and business connectivity. It provides examples of device types, connectivity options, and how to use Azure services for device identity/registry, stream processing, analytics, and presentation. Guiding principles are also outlined for building scalable, secure, and flexible IoT solutions.
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsKhalid Salama
In essence, a data lake is commodity distributed file system that acts as a repository to hold raw data file extracts of all the enterprise source systems, so that it can serve the data management and analytics needs of the business. A data lake system provides means to ingest data, perform scalable big data processing, and serve information, in addition to manage, monitor and secure the it environment. In these slide, we discuss building data lakes using Azure Data Factory and Data Lake Analytics. We delve into the architecture if the data lake and explore its various components. We also describe the various data ingestion scenarios and considerations. We introduce the Azure Data Lake Store, then we discuss how to build Azure Data Factory pipeline to ingest the data lake. After that, we move into big data processing using Data Lake Analytics, and we delve into U-SQL.
DocumentDB is a powerful NoSQL solution. It provides elastic scale, high performance, global distribution, a flexible data model, and is fully managed. If you are looking for a scaled OLTP solution that is too much for SQL Server to handle (i.e. millions of transactions per second) and/or will be using JSON documents, DocumentDB is the answer.
Open Source Solution for Data Analyst WorkflowSigit Prasetyo
This document summarizes a presentation about using SQL for big data analytics. It discusses how SQL can be used on Hadoop systems to analyze large datasets. It then demonstrates loading squid web access log data into an Apache Hive database on Hadoop and performing queries to analyze traffic patterns and popular browsers. The presentation shows how SQL provides an accessible way for analysts to explore and gain insights from big data.
DocumentDB is a fully managed, scalable NoSQL document database service hosted on Azure. It provides a rich queryable schema-free JSON document model with transactional processing. Applications can leverage features like stored procedures, triggers, user-defined functions and consistency options to balance performance and data consistency needs. Documents in DocumentDB can contain arbitrary JSON content and applications work with data through HTTP/REST endpoints.
Introduction to document db- Global Azure Bootcamp 2016Jalpesh Vadgama
This document introduces DocumentDB, a NoSQL document database offered by Microsoft Azure. It discusses what a document database is, defines DocumentDB as a schema-free JSON document database, and outlines some key capabilities and benefits such as scalability, querying, indexing and security. Examples are provided of how data is stored and how collections function as containers. The presentation concludes with a demo of sample code for using DocumentDB.
Why BaaS is crucial to early stage startupsJane Chung
Developing a mobile app can be time-consuming and frustrating -- writing server-side code, handling and scaling servers, designing APIs, all the while designing exceptional user experience. This presentation deck will help you understand the basics of serverless app development, and how it’ll save you and your team time and reduce development overhead.
Check out our open source serverless framework Skygear.io
Questions? Ask us anything at hello@skygear.io
SharePoint 2013 Search and Creating Dynamic Content Management SolutionsInnoTech
The document discusses SharePoint 2013 search and how to create dynamic content management solutions. It provides an overview of SharePoint 2013 search capabilities and changes from 2010. It also covers search solutions, out of the box web parts, APIs, deployment, and scenarios for using search to power dynamic solutions.
INTERFACE, by apidays - Lessons learned from implementing our custom ‘Big Da...apidays
David Wobrock presented on Botify's custom 'Big Data' JSON DSL API. The API allows customers to query, join, and aggregate multiple datasets containing SEO data through a custom JSON query language. This unified API approach enables growth by giving customers access to Botify's full dataset to address business needs. Key lessons learned include the steep learning curve for the custom DSL, the importance of monitoring API usage, and improving developer relations to support API integration and adoption.
This document provides an introduction to Azure DocumentDB, a NoSQL database service. It begins with an overview of the differences between SQL and NoSQL databases, focusing on how DocumentDB is a non-relational, horizontally scalable database that uses JSON documents. It then describes key aspects of DocumentDB such as its supported languages and frameworks, its HTTP REST API, how data is stored in JSON documents, and its resources and hierarchical structure. The document also covers querying data using SQL and the services' indexing and consistency capabilities.
The document discusses building APIs in an easy way using API Platform. It describes how API Platform makes it simple to create APIs that support JSON-LD, Hydra, and HAL formats. API Platform is built on Symfony and integrates with common Symfony tools like Doctrine ORM. It provides features like CRUD operations, serialization groups, validation, pagination and extensions out of the box. The document also provides examples of creating a player resource and implementing authentication with JSON Web Tokens.
My TechDays 2015 in the Netherlands session about API management. Every company has services or API's to share public or private. There are many tools to solve this. But one thing is for sure, API's without management is not good.
QuerySurge Slide Deck for Big Data Testing WebinarRTTS
This is a slide deck from QuerySurge's Big Data Testing webinar.
Learn why Testing is pivotal to the success of your Big Data Strategy .
Learn more at www.querysurge.com
The growing variety of new data sources is pushing organizations to look for streamlined ways to manage complexities and get the most out of their data-related investments. The companies that do this correctly are realizing the power of big data for business expansion and growth.
Learn why testing your enterprise's data is pivotal for success with big data, Hadoop and NoSQL. Learn how to increase your testing speed, boost your testing coverage (up to 100%), and improve the level of quality within your data warehouse - all with one ETL testing tool.
This information is geared towards:
- Big Data & Data Warehouse Architects,
- ETL Developers
- ETL Testers, Big Data Testers
- Data Analysts
- Operations teams
- Business Intelligence (BI) Architects
- Data Management Officers & Directors
You will learn how to:
- Improve your Data Quality
- Accelerate your data testing cycles
- Reduce your costs & risks
- Provide a huge ROI (as high as 1,300%)
This document provides an overview of developing a provider hosted SharePoint app. It discusses what provider hosted apps are, the app development history in SharePoint, hosting options for apps, the provider hosted app architecture, costs and benefits of being an app provider, the development model, and demonstrates creating an app manifest and using the Client Side Object Model. It also provides several resources for learning more about developing provider hosted SharePoint apps.
Web services tutorial slides from my session at DPC 2012 in Amsterdam. In this 3-hour session we built the simplest possible service, and then extended it, looking at RPC, REST and SOAP along the way.
Hot Topics: The DuraSpace Community Webinar Series,
“Introducing DSpace 7: Next Generation UI”
Curated by Claire Knowles, Library Digital Development Manager, The University of Edinburgh.
Introducing DSpace 7
February 28, 2017 presented by: Claire Knowles - The University of Edinburgh, Art Lowel - Atmire, Andrea Bollini - 4Science, Tim Donohue – DuraSpace
This document summarizes a presentation about developing provider hosted SharePoint apps. It discusses:
1) What provider hosted apps are and how they are hosted outside of SharePoint and can be developed using any language.
2) The history of customizing SharePoint and how apps differ from past methods like farm solutions.
3) The options for hosting apps, including provider hosted, autohosted, and SharePoint hosted.
4) Considerations for providers like maintaining hosting costs and updating customers.
5) The development process including using Visual Studio and the app manifest to define permissions.
6) How to authenticate with OAuth and make calls to SharePoint using the client-side object model.
This document discusses Docker-based Hadoop provisioning on Cisco InterCloud. It describes how Cloudbreak, an open source tool from SequenceIQ, can be used to deploy Hadoop Distributed File System (HDFS) and other Hadoop services using Docker containers. Cloudbreak uses Ambari blueprints and Docker orchestration to provision Hadoop elastically on public and private clouds. The collaboration between Cisco and Hortonworks aims to make Hadoop deployment more efficient using containers.
With the rise of microservices deployment methodology and its advantages in speed, resilience and maintainability, there is growing demand in being able to deliver Hadoop ecosystem-based applications that follow the same strategy and co-exist with other containerize applications. In this session we’ll focus on the new developments in being able to deploy Hadoop with docker-based systems and their advantages.
This presentation describes how hortonworks is delivering Hadoop on Docker for a cloud-agnostic deployment approach which presented in Cisco Live 2015.
Global Azure 2022 - Architecting Modern Serverless APIs with Azure Functions ...Callon Campbell
The document announces an Azure event in Toronto from May 5-7th that Microsoft is sponsoring. It provides information about accessing Microsoft documentation and training resources. It also introduces the speaker, Callon Campbell, who is a Microsoft MVP in Azure and consultant specializing in app migration, modernization and Azure. The agenda covers what serverless means, demos of building serverless APIs with Azure Functions and API Management, and hosting Function apps.
apidays LIVE Paris 2021 - Building an analytics API by David Wobrock, Botifyapidays
apidays LIVE Paris 2021 - APIs and the Future of Software
December 7, 8 & 9, 2021
Building an analytics API
David Wobrock, Senior Lead API Engineer at Botify
Made for Mobile - Let Office 365 Power Your Mobile AppsSPC Adriatics
The document discusses developing mobile apps that leverage Office 365 APIs using Cordova. It covers key topics like REST APIs, OAuth2 authentication, Azure Active Directory, the ADAL library, and using Cordova to build cross-platform apps. Code samples are provided to demonstrate configuring an app in Azure portal and adding Office 365 APIs to a Cordova project.
Similar to Azure DocumentDB for Healthcare Integration - Part 2 (20)
Optimise Business Activity Tracking – Insights from Smurfit KappaBizTalk360
Watch the webinar: https://bit.ly/3iye9nb
Smurfit Kappa is one of the leading providers of paper-based packaging and displays in the world. They have operations in 30 countries. Their branch office in The Netherlands is one of the early adopters of Atomic Scope.
For this webinar, we had invited middleware specialist Rob van der horst to explain how his company is using Atomic Scope. During the session, Rob showcased how Smurfit Kappa is using the product and how they streamlined their internal processes with the help of Atomic Scope.
Key takeaways:
1. Know-how Atomic Scope is used in a real-world scenario
2. Understand how your organization can benefit from the product
3. Hear about the performance and stability improvement in v8.1
Optimise Business Activity Tracking – Insights from Smurfit KappaBizTalk360
Smurfit Kappa is one of the leading providers of paper-based packaging and displays in the world. They have operations in 30 countries. Their branch office in The Netherlands is one of the early adopters of Atomic Scope.
For this webinar, we had invited middleware specialist Rob van der horst to explain how his company is using Atomic Scope. During the session, Rob showcased how Smurfit Kappa is using the product and how they streamlined their internal processes with the help of Atomic Scope.
Key takeaways:
1. Know-how Atomic Scope is used in a real-world scenario
2. Understand how your organization can benefit from the product
3. Hear about the performance and stability improvement in v8.1
What's inside "migrating to biz talk server 2020" Book (BizTalk360 Webinar)BizTalk360
Watch the full webinar: https://bit.ly/3mMzbS7
Explore from the renowned BizTalk Server panel (Sandro Pereira, Tom Canter, and Lex Hegt) as they highlight on the challenges and solutions involved in migrating from the old BizTalk Server versions to BizTalk Server 2020.
They will also guide you through all of the migration phases—Evaluate, Plan, and Implement—and will show you how to execute your upgrade in a controlled and timely way.
Note: This webinar threw light on what the audience could expect from BizTalk360's upcoming book “Migrating to BizTalk Server 2020”
Integration Monday - Logic Apps: Development ExperiencesBizTalk360
How can I start developing Logic Apps? What are the different tools I can use? What are the advantages and drawbacks of each developer approach? What are the deployment options that I have? These are some of the questions that Sandro and Pedro have answered in this session, along with several tips that will aim to improve your Logic Apps development experience.
Integration Monday - BizTalk Migrator Deep DiveBizTalk360
Join Dan Probert as we take you on a deep dive of Microsoft’s BizTalk Migrator tool. Learn what all the moving parts do, how to modify the configuration, how to improve performance, how to create your scenarios, how to debug the tool when it runs, and how to view the model built behind the scenes. If you have questions, then this is the place to be, as we’ll also have a Q&A session towards the end. In fact, there is so much content, we probably won’t cover everything in one session!
Testing for Logic App Solutions | Integration MondayBizTalk360
In this Integration Monday session, Mike discussed the challenges and approaches for some of the common testing scenarios when delivering integration solutions with Microsoft Azure.
This one sentence document simply states "No Slides for this Session", indicating there will be no slides or visual aids accompanying whatever session or meeting it refers to. The participants in this upcoming session should expect to rely solely on oral presentations or discussions rather than on any accompanying slideshow.
System Integration using Reactive Programming | Integration MondayBizTalk360
In the current software eco-system, the applications are becoming more eventful and we can not trust enough traditional message-based integration concepts and technologies for system integration. Through this slide, Sagar will walk you through design considerations for event-based integrations and Azure Event Grid as technology backend for these integrations.
Building workflow solution with Microsoft Azure and Cloud | Integration MondayBizTalk360
This document provides an overview of workflow solutions using Microsoft Azure and cloud technologies. It discusses Power Automate, Logic Apps, and Durable Functions for automating business processes and workflows. It covers what each technology can do, pricing models, use cases, and monitoring/governance options. Key takeaways are that the technologies are not competing and to choose based on use case, and that they are mature leading options with moderate learning curves.
Serverless Minimalism: How to architect your apps to save 98% on your Azure b...BizTalk360
The document provides tips on how to save 98% on an Azure bill by using a serverless architecture and practicing serverless minimalism. It explains that serverless services scale resources reactively based on usage, resulting in close to 100% utilization and only paying for what is used. This leads to significant savings compared to conventional PaaS architectures that require pre-provisioning capacity to handle spikes, resulting in low utilization and wasted spending. The document also advocates practicing "serverless minimalism" by only using the resources needed to complete a task and writing the minimum amount of code required.
Migrating BizTalk Solutions to Azure: Mapping Messages | Integration MondayBizTalk360
This document discusses strategies for migrating BizTalk maps to Azure. It presents Integration Accounts as a way to reuse BizTalk schemas and maps, but notes they can be expensive. Other options discussed include using Logic Apps, API Management policies, and Azure Functions with custom C# or Liquid templates. However, these custom solutions are not very well supported. The document concludes there is still a need for a consistent mapping tool within Azure.
Learn how Terraform as IaC tool when applied using a DevOps mindset can help organizations build a very predictable and version-controlled target cloud infrastructure.
Get to know the two stateful programming models of Azure Serverless compute: workflows and actors and how these models can simplify development and how they enable stateful and long-running application patterns within Azure’s compute environments.
Learn how to build a sophisticated and user-configurable Slack Bot which gives customized trade reports to financial analysts using Serverless technologies on Azure. Learn the patterns we used and the architectural decisions we made from an experienced Serverless Enterprise developer and author.
The document provides a link to slides for an upcoming presentation or session located at https://robrich.org/presentations/. The slides can be accessed at this web address and contain information relevant to the session being referenced. In 3 sentences or less.
The Power Platform in Office 365 (Power BI, Power Apps, Flow, Forms, Sharepoint Online,...) is probably the best ecosystem in the world for a complete digital transformation in your company and maybe you are already paying for them without any usage.
We are living a complete digital transformation where people are not restricted by apps or devices or even location. Work can be done anywhere and on any device which leads to greater security concerns regarding this business data living on mobile devices and shared with external (sometimes not trusted users). Microsoft Unified Labeling protection leverages the power of the cloud and ease of use (a few clicks for implementation) to provide a complete Information Protection solution. Now with the new unified Azure label client, users can administer the labels from one location while being integrated across the whole Microsoft platform. Attendees will learn how to configure Unified labels with real case scenarios.
Network security is back! Whether you are using Azure Kubernetes Services, IaaS virtual machines, App Services, or any other PaaS feature, securing your application or data is critical to the business. Azure security is constantly evolving and how we did things even one year ago isn't necessarily the best way anymore. Learn about Azure network security, design patterns, learn what is new, and even to see some things that are coming soon.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Programming Foundation Models with DSPy - Meetup Slides
Azure DocumentDB for Healthcare Integration - Part 2
1. Sponsored & Brought to you by
Azure DocumentDB for
Healthcare Integration – Part 2
Howard Edidin
https://twitter.com/hsedidin
http://www.linkedin.com/in/hedidin
2. Azure DocumentDB for Healthcare Integration - Part 2
Howard S. Edidin
Microsoft Partner Technical Specialist (BizTalk, Azure) for Healthcare
Gold Member
5. Agenda
• Review of DocumentDB REST API
• Understanding the overall problem
• High-level Design
• How Swagger fits in
• Design and development
• Next steps
6. REVIEW OF DOCUMENTDB REST API
Azure DocumentDB for Healthcare Integration – Part 1
6
7. Azure DocumentDB for Healthcare
Integration
• Azure DocumentDB, features and capabilities
• Creating a DocumentDB database
• CRUD operations
• API’s
– REST
– SQL Query Language
– Server-side JavaScript
• Leveraging DocumentDB as a HL7 document repository
• Preview API and Logic Apps
7
8. DocumentDB
• DocumentDB is unique among NoSQL stores
– It was developed and delivered as a service
– It’s truly schema-free, queryable and JSON aware
– Offers transactional processing through language integrated JavaScript
– Predictable performance and tunable consistency
8
10. Access Model
• RESTful interaction over HTTP
• Standard HTTP verbs & semantics
• Can utilize BizTalk as a client
• Built-in support for TCP for smart clients
• Designed for Gateway as well as Direct Connectivity options
POST
Item
resource TenantFeed
URI
PUT
Item
resource
Item
URI
DELETE
Item
URI
GET
PATCH
TenantFeed Or Item
URI
Item URI
Create a new resource
/Execute a sprocs/trigger/query
Replace an existing resource
Delete an existing resource
Read/Query an existing
resource
*Selectively Edit an existing resource
Item
resource
POST http://myaccount.documents.azure.net/dbs
{ "name":"My Company Db"}
...
[201 Created]
{
"name": "My Company Db",
"id": "UoEi5w==",
"self": "dbs/UoEi5w==/",
"colls": "colls/",
"users": "users/"
}
10
28. Azure DocumentDB for Healthcare Integration
28
Howard S. Edidin MCTS, MCP, Author, Trainer, TechNet Wiki Ninja
Microsoft Partner - Application Integration
|HL7|HIPAA
Microsoft Virtual Technical Specialist (BizTalk, Azure) for Healthcare
hedidin@edidingroup.net
Editor's Notes
Database account: A database account is associated with a set of databases and a fixed amount of blob storage for attachments (preview feature). You can create one or more database accounts using your Azure subscription. Every Standard database account is allocated a minimum capacity of one S1 collection.
Database: A database is a logical container of document storage partitioned across collections. It is also a users container.
User: The logical namespace for scoping/partitioning permissions.
Permission: An authorization token associated with a user for authorized access to a specific resource.
Collection: A collection is a container of JSON documents and the associated JavaScript application logic. A collection is a billable entity, where the cost is determined by the performance level associated with the collection. The performance levels (S1, S2 and S3) provide 10GB of storage and a fixed amount of throughput.
Stored Procedure: Application logic written in JavaScript which is registered with a collection and transactionally executed within the database engine.
Trigger; Application logic written in JavaScript modeling side effects associated with insert, replace or delete operations.
UDFA: side effect free, application logic written in JavaScript. UDFs enable you to model a custom query operator and thereby extend the core DocumentDB query language.
Document: User defined (arbitrary) JSON content. By default, no schema needs to be defined nor do secondary indices need to be provided for all the documents added to a collection.(Preview)
Attachment: An attachment is a special document containing references and associated metadata for external blob/media. You can choose to have the blob managed by DocumentDB or store it with an external blob service provider such as OneDrive, Dropbox, etc.