Code Camp - Building a Glass app with Wakanda
•
1 like•1,251 views
A description of using the Mirror API (Google) and WakandaDB. Source code here: https://github.com/lyle/GlassWakanda Original Reveil Slides: http://talks-2013.lyle.troxell.com/
Report
Share
Report
Share
Download to read offline
Recommended
Starting with MongoDB
This document provides an introduction to MongoDB, including:
1) MongoDB is a schemaless database that supports features like replication, sharding, indexing, file storage, and aggregation.
2) The main concepts include databases containing collections of documents like tables containing rows in SQL databases, but documents can have different structures.
3) Examples demonstrate inserting, querying, updating, and embedding documents in MongoDB collections.
CData Data Today: A Developer's Dilemma
Presentation on the state of working with data as a software developer and the solution that standards-based drivers provide.
Azure document db
This document discusses building a web application with ASP.NET MVC using Azure DocumentDB. It provides an overview of DocumentDB as a non-relational NoSQL document database in Azure that supports SQL queries and LINQ. It also shows code examples for connecting to a DocumentDB database and collection and querying documents using the DocumentClient.
Docker & Azure
How to implement a CI/CD pipeline with Docker and Azure using Azure Container Registry, Azure Container Service and Visual Studio Team Services
An Introduction to Druid
The slide deck for the Code Red talk given by Lead Software Engineer, Vaisakh Rajagopal at RedBlackTree on 22 March, 2017.
Whos afraid of front end databases?
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.
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe.
This talk covers:
Common components of an IoT solution
The challenges involved with managing time-series data in IoT applications
Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance.
How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts
At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.
Google appengine
Google AppEngine is a platform for hosting scalable web applications and services. It provides automatic scaling of resources and a pay-as-you-go billing model. The main components include a runtime environment for Java and Python, a static file server, and a scalable and flexible datastore. The datastore acts as the central database, storing entities which contain properties mapped to key-value pairs. Entities belong to kinds and each has a unique key. The Python API provides methods like put() and get_or_insert() for creating, retrieving, and deleting entities from the datastore.
Recommended
Starting with MongoDB
This document provides an introduction to MongoDB, including:
1) MongoDB is a schemaless database that supports features like replication, sharding, indexing, file storage, and aggregation.
2) The main concepts include databases containing collections of documents like tables containing rows in SQL databases, but documents can have different structures.
3) Examples demonstrate inserting, querying, updating, and embedding documents in MongoDB collections.
CData Data Today: A Developer's Dilemma
Presentation on the state of working with data as a software developer and the solution that standards-based drivers provide.
Azure document db
This document discusses building a web application with ASP.NET MVC using Azure DocumentDB. It provides an overview of DocumentDB as a non-relational NoSQL document database in Azure that supports SQL queries and LINQ. It also shows code examples for connecting to a DocumentDB database and collection and querying documents using the DocumentClient.
Docker & Azure
How to implement a CI/CD pipeline with Docker and Azure using Azure Container Registry, Azure Container Service and Visual Studio Team Services
An Introduction to Druid
The slide deck for the Code Red talk given by Lead Software Engineer, Vaisakh Rajagopal at RedBlackTree on 22 March, 2017.
Whos afraid of front end databases?
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.
MongoDB SoCal 2020: Best Practices for Working with IoT and Time-series Data
Time series data is increasingly at the heart of modern applications - think IoT, stock trading, clickstreams, social media, and more. With the move from batch to real time systems, the efficient capture and analysis of time series data can enable organizations to better detect and respond to events ahead of their competitors or to improve operational efficiency to reduce cost and risk. Working with time series data is often different from regular application data, and there are best practices you should observe.
This talk covers:
Common components of an IoT solution
The challenges involved with managing time-series data in IoT applications
Different schema designs, and how these affect memory and disk utilization – two critical factors in application performance.
How to query, analyze and present IoT time-series data using MongoDB Compass and MongoDB Charts
At the end of the session, you will have a better understanding of key best practices in managing IoT time-series data with MongoDB.
Google appengine
Google AppEngine is a platform for hosting scalable web applications and services. It provides automatic scaling of resources and a pay-as-you-go billing model. The main components include a runtime environment for Java and Python, a static file server, and a scalable and flexible datastore. The datastore acts as the central database, storing entities which contain properties mapped to key-value pairs. Entities belong to kinds and each has a unique key. The Python API provides methods like put() and get_or_insert() for creating, retrieving, and deleting entities from the datastore.
MongoDB for Developers
The document is a presentation on MongoDB for developers by Ciro Donato Caiazzo. It introduces MongoDB as a non-relational database for storing JSON documents with a focus on speed, performance, flexibility and scalability. It discusses that MongoDB uses collections for storing groups of data like tables in a SQL database. It also covers how to start with MongoDB by downloading, installing, and running the mongod process before accessing the mongo shell to perform operations like insert, find, update and remove on databases and collections.
Azure DocumentDB
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.
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
Venez en apprendre davantage sur notre nouvel opérateur de recherche en texte intégral pour MongoDB Atlas. Il s'agit d'une amélioration significative des fonctionnalités de recherches de MongoDB et c'est également la solution de recherche en texte intégral la plus simple et la plus puissante pour les bases de données MongoDB Atlas.
Cette présentation est importante pour quiconque a mis en place ou en visage de mettre en place une fonctionnalité de recherche dans son application MongoDB.
Vous assisterez à une démo de $searchBeta, apprendrez comment cela fonctionne, découvrirez des fonctionnalités spécifiques vous permettant d'obtenir des résultats de recherche pertinents et apprendrez comment vous pouvez commencer à utiliser la recherche en texte intégral dans votre application dès aujourd'hui.
MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
This presentation discusses migrating data from other data stores to MongoDB Atlas. It begins by explaining why MongoDB and Atlas are good choices for data management. Several preparation steps are covered, including sizing the target Atlas cluster, increasing the source oplog, and testing connectivity. Live migration, mongomirror, and dump/restore options are presented for migrating between replicasets or sharded clusters. Post-migration steps like monitoring and backups are also discussed. Finally, migrating from other data stores like AWS DocumentDB, Azure CosmosDB, DynamoDB, and relational databases are briefly covered.
Azure Mobile Services .NET Backend
This document provides information about building a .NET backend for a mobile service using Azure Mobile Apps and MongoDB. It includes code snippets for CRUD operations on a TodoItem table using HTTP verbs, connecting to a MongoDB database from a .NET backend, and initializing the MongoDB connection string. It also includes links to Microsoft Azure and Azure Mobile services documentation pages.
MongoDB Schema Design: Practical Applications and Implications
Presented by Austin Zellner, Solutions Architect, MongoDB
Schema design is as much art as it is science, but it is central to understanding how to get the most out of MongoDB. Attendees will walk away with an understanding of how to approach schema design, what influences it, and the science behind the art. After this session, attendees will be ready to design new schemas, as well as re-evaluate existing schemas with a new mental model.
MongoDB for Coder Training (Coding Serbia 2013)
Slides of my MongoDB Training given at Coding Serbia Conference on 18.10.2013
Agenda:
1. Introduction to NoSQL & MongoDB
2. Data manipulation: Learn how to CRUD with MongoDB
3. Indexing: Speed up your queries with MongoDB
4. MapReduce: Data aggregation with MongoDB
5. Aggregation Framework: Data aggregation done the MongoDB way
6. Replication: High Availability with MongoDB
7. Sharding: Scaling with MongoDB
MongoDB .local Munich 2019: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business.
This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.
Save your data
IndexedDB allows for more advanced storage of key-value data in the browser compared to localStorage. It uses a database model with objects stores that can be accessed through transactions. To use IndexedDB, a database is created and opened with a specified version number. Data can then be stored and retrieved from object stores using asynchronous requests within transactions. The presentation covered the basic structure and usage of IndexedDB but noted there are additional advanced features still in development.
MongoDB .local Paris 2020: Devenez explorateur de données avec MongoDB Charts
De nos jours, tout le monde devrait être "Data Analyst". Mais avec tant de données disponibles, comment les comprendre et vous assurer que vous prenez les meilleures décisions ? Une excellente approche consiste à utiliser des visualisations de données. Au cours de cette présentation, notre expert utilisera un jeu de données complexe et vous montrera comment l'étendue des fonctionnalités de MongoDB Charts peut vous aider à transformer les bits et bytes en informations.
NoSQL in SQL - Lior Altarescu
The X Dev API is a new protocol for non-blocking, asynchronous calls to MySQL. In this talk, Lior explores the benefits of working with this protocol and connectors, and the challenges we encountered during the process of adopting X Dev API in Wix Engineering.
Lior shares how we are incorporating the protocol in our massive multi dc architecture, and how it helps us, at Wix Engineering, rollout to production faster.
Working with NoSQL in a SQL Database (XDevApi)
The document discusses X DevAPI, which allows MySQL to be used as both a relational and non-relational (schema-less) database. It provides NoSQL and SQL functionality in a single database using CRUD operations. The presenter worked with X DevAPI at Wix, where they initially used ProxySQL for failover but it did not support X DevAPI. They were able to use InnoDB cluster instead to gain its automatic failover capabilities while taking advantage of X DevAPI.
Addressing Your Backup Needs Using Ops Manager and Atlas
This document discusses disaster recovery options for MongoDB databases using MongoDB Ops Manager, Cloud Manager, and Atlas. It describes the differences between replication and disaster recovery and the importance of restore point and time objectives. It then outlines features of MongoDB Ops Manager and Cloud Manager for backup, restore, and point-in-time recovery. Finally, it details how MongoDB Atlas provides automated, secure, globally available databases with continuous backups and new options for cloud provider snapshots for disaster recovery.
Webinar: Utilisations courantes de MongoDB
MongoDB ne fonctionne pas comme les autres bases de données. Son modèle de données orienté documents, son partitionnement en gammes et sa cohérence forte sont bien adaptés à certains problèmes et moins adaptés à d'autres. Dans ce séminaire Web, nous étudierons des exemples réels d'utilisation de MongoDB mettant à profit ces fonctionnalités uniques. Nous évoquerons le cas de clients spécifiques qui utilisent MongoDB et nous verrons la façon dont ils ont implémenté leur solution. Nous vous montrerons également comment construire une solution du même type pour votre entreprise.
DocumentDB - NoSQL on Cloud at Reboot2015
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.
Displaying message on web page in Javascript
How to write to the web page window using Javascript? Various methods available in Javascript and how they differ. How to embed or link Javascript code in HTML.
Who's afraid of front end databases?
This document discusses front-end databases and IndexedDB. It begins by describing the limitations of cookies and localStorage for storing data in the browser. It then introduces IndexedDB as an advanced key-value database that provides fast and reliable local data storage with limited capacity. The document demonstrates how to perform basic operations with IndexedDB like opening a database, creating object stores, adding and retrieving data using cursors and indexes. It notes some issues with IndexedDB's verbose API and discusses libraries that provide simpler interfaces. It concludes by explaining how IndexedDB is well-suited for offline and data-driven scenarios.
Realm mobile database
Realm is an object database management system that supports Android, iOS, and other platforms. It provides an alternative to SQLite and Core Data with features like offline functionality, fast queries, and cross-platform support. Realm uses object models and supports one-to-many and many-to-many relationships between objects. It allows asynchronous transactions to avoid blocking the UI thread. While easier to use than SQLite, Realm also has some limitations like not supporting final or volatile fields.
Knockout Advanced Concepts By Surekha Gadkari
This document covers key concepts in KnockoutJS including observables, custom bindings, components, and references. Observables allow values to update the DOM automatically and can be arrays or computed values. Custom bindings give flexibility to control how observables interact with elements. Components encapsulate reusable UI chunks and can receive and write back parameters. Custom elements provide an alternative syntax to components.
Webinar: Introducing the MongoDB Connector for BI 2.0 with Tableau
Pairing your real-time operational data stored in a modern database like MongoDB with first-class business intelligence platforms like Tableau enables new insights to be discovered faster than ever before.
Many leading organizations already use MongoDB in conjunction with Tableau including a top American investment bank and the world’s largest airline. With the Connector for BI 2.0, it’s never been easier to streamline the connection process between these two systems.
In this webinar, we will create a live connection from Tableau Desktop to a MongoDB cluster using the Connector for BI. Once we have Tableau Desktop and MongoDB connected, we will demonstrate the visual power of Tableau to explore the agile data storage of MongoDB.
You’ll walk away knowing:
- How to configure MongoDB with Tableau using the updated connector
- Best practices for working with documents in a BI environment
- How leading companies are using big data visualization strategies to transform their businesses
Cloud and azure and rock and roll
This document discusses Microsoft Azure cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of Azure services like virtual machines, web apps, SQL databases, and machine learning. It also demonstrates how to perform tasks like uploading files to Azure blob storage using different programming languages.
Samedi SQL Québec - La plateforme data de Azure
6 juin 2015
Samedi SQL à Québec
Session 3 - Data (SQL Azure, Table et Blob Storage) (Eric Moreau)
SQL Azure est une base de données relationnelle en tant que service, Azure Storage permet de stocker et d'extraire de gros volumes de données non structurées (par exemple, des documents et fichiers multimédias) avec les objets blob Azure ; de données NoSql structurées avec les tables Azure ; de messages fiables avec les files d'attente Azure.
More Related Content
What's hot
MongoDB for Developers
The document is a presentation on MongoDB for developers by Ciro Donato Caiazzo. It introduces MongoDB as a non-relational database for storing JSON documents with a focus on speed, performance, flexibility and scalability. It discusses that MongoDB uses collections for storing groups of data like tables in a SQL database. It also covers how to start with MongoDB by downloading, installing, and running the mongod process before accessing the mongo shell to perform operations like insert, find, update and remove on databases and collections.
Azure DocumentDB
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.
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
Venez en apprendre davantage sur notre nouvel opérateur de recherche en texte intégral pour MongoDB Atlas. Il s'agit d'une amélioration significative des fonctionnalités de recherches de MongoDB et c'est également la solution de recherche en texte intégral la plus simple et la plus puissante pour les bases de données MongoDB Atlas.
Cette présentation est importante pour quiconque a mis en place ou en visage de mettre en place une fonctionnalité de recherche dans son application MongoDB.
Vous assisterez à une démo de $searchBeta, apprendrez comment cela fonctionne, découvrirez des fonctionnalités spécifiques vous permettant d'obtenir des résultats de recherche pertinents et apprendrez comment vous pouvez commencer à utiliser la recherche en texte intégral dans votre application dès aujourd'hui.
MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
This presentation discusses migrating data from other data stores to MongoDB Atlas. It begins by explaining why MongoDB and Atlas are good choices for data management. Several preparation steps are covered, including sizing the target Atlas cluster, increasing the source oplog, and testing connectivity. Live migration, mongomirror, and dump/restore options are presented for migrating between replicasets or sharded clusters. Post-migration steps like monitoring and backups are also discussed. Finally, migrating from other data stores like AWS DocumentDB, Azure CosmosDB, DynamoDB, and relational databases are briefly covered.
Azure Mobile Services .NET Backend
This document provides information about building a .NET backend for a mobile service using Azure Mobile Apps and MongoDB. It includes code snippets for CRUD operations on a TodoItem table using HTTP verbs, connecting to a MongoDB database from a .NET backend, and initializing the MongoDB connection string. It also includes links to Microsoft Azure and Azure Mobile services documentation pages.
MongoDB Schema Design: Practical Applications and Implications
Presented by Austin Zellner, Solutions Architect, MongoDB
Schema design is as much art as it is science, but it is central to understanding how to get the most out of MongoDB. Attendees will walk away with an understanding of how to approach schema design, what influences it, and the science behind the art. After this session, attendees will be ready to design new schemas, as well as re-evaluate existing schemas with a new mental model.
MongoDB for Coder Training (Coding Serbia 2013)
Slides of my MongoDB Training given at Coding Serbia Conference on 18.10.2013
Agenda:
1. Introduction to NoSQL & MongoDB
2. Data manipulation: Learn how to CRUD with MongoDB
3. Indexing: Speed up your queries with MongoDB
4. MapReduce: Data aggregation with MongoDB
5. Aggregation Framework: Data aggregation done the MongoDB way
6. Replication: High Availability with MongoDB
7. Sharding: Scaling with MongoDB
MongoDB .local Munich 2019: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB Atlas Data Lake is a new service offered by MongoDB Atlas. Many organizations store long term, archival data in cost-effective storage like S3, GCP, and Azure Blobs. However, many of them do not have robust systems or tools to effectively utilize large amounts of data to inform decision making. MongoDB Atlas Data Lake is a service allowing organizations to analyze their long-term data to discover a wealth of information about their business.
This session will take a deep dive into the features that are currently available in MongoDB Atlas Data Lake and how they are implemented. In addition, we'll discuss future plans and opportunities and offer ample Q&A time with the engineers on the project.
Save your data
IndexedDB allows for more advanced storage of key-value data in the browser compared to localStorage. It uses a database model with objects stores that can be accessed through transactions. To use IndexedDB, a database is created and opened with a specified version number. Data can then be stored and retrieved from object stores using asynchronous requests within transactions. The presentation covered the basic structure and usage of IndexedDB but noted there are additional advanced features still in development.
MongoDB .local Paris 2020: Devenez explorateur de données avec MongoDB Charts
De nos jours, tout le monde devrait être "Data Analyst". Mais avec tant de données disponibles, comment les comprendre et vous assurer que vous prenez les meilleures décisions ? Une excellente approche consiste à utiliser des visualisations de données. Au cours de cette présentation, notre expert utilisera un jeu de données complexe et vous montrera comment l'étendue des fonctionnalités de MongoDB Charts peut vous aider à transformer les bits et bytes en informations.
NoSQL in SQL - Lior Altarescu
The X Dev API is a new protocol for non-blocking, asynchronous calls to MySQL. In this talk, Lior explores the benefits of working with this protocol and connectors, and the challenges we encountered during the process of adopting X Dev API in Wix Engineering.
Lior shares how we are incorporating the protocol in our massive multi dc architecture, and how it helps us, at Wix Engineering, rollout to production faster.
Working with NoSQL in a SQL Database (XDevApi)
The document discusses X DevAPI, which allows MySQL to be used as both a relational and non-relational (schema-less) database. It provides NoSQL and SQL functionality in a single database using CRUD operations. The presenter worked with X DevAPI at Wix, where they initially used ProxySQL for failover but it did not support X DevAPI. They were able to use InnoDB cluster instead to gain its automatic failover capabilities while taking advantage of X DevAPI.
Addressing Your Backup Needs Using Ops Manager and Atlas
This document discusses disaster recovery options for MongoDB databases using MongoDB Ops Manager, Cloud Manager, and Atlas. It describes the differences between replication and disaster recovery and the importance of restore point and time objectives. It then outlines features of MongoDB Ops Manager and Cloud Manager for backup, restore, and point-in-time recovery. Finally, it details how MongoDB Atlas provides automated, secure, globally available databases with continuous backups and new options for cloud provider snapshots for disaster recovery.
Webinar: Utilisations courantes de MongoDB
MongoDB ne fonctionne pas comme les autres bases de données. Son modèle de données orienté documents, son partitionnement en gammes et sa cohérence forte sont bien adaptés à certains problèmes et moins adaptés à d'autres. Dans ce séminaire Web, nous étudierons des exemples réels d'utilisation de MongoDB mettant à profit ces fonctionnalités uniques. Nous évoquerons le cas de clients spécifiques qui utilisent MongoDB et nous verrons la façon dont ils ont implémenté leur solution. Nous vous montrerons également comment construire une solution du même type pour votre entreprise.
DocumentDB - NoSQL on Cloud at Reboot2015
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.
Displaying message on web page in Javascript
How to write to the web page window using Javascript? Various methods available in Javascript and how they differ. How to embed or link Javascript code in HTML.
Who's afraid of front end databases?
This document discusses front-end databases and IndexedDB. It begins by describing the limitations of cookies and localStorage for storing data in the browser. It then introduces IndexedDB as an advanced key-value database that provides fast and reliable local data storage with limited capacity. The document demonstrates how to perform basic operations with IndexedDB like opening a database, creating object stores, adding and retrieving data using cursors and indexes. It notes some issues with IndexedDB's verbose API and discusses libraries that provide simpler interfaces. It concludes by explaining how IndexedDB is well-suited for offline and data-driven scenarios.
Realm mobile database
Realm is an object database management system that supports Android, iOS, and other platforms. It provides an alternative to SQLite and Core Data with features like offline functionality, fast queries, and cross-platform support. Realm uses object models and supports one-to-many and many-to-many relationships between objects. It allows asynchronous transactions to avoid blocking the UI thread. While easier to use than SQLite, Realm also has some limitations like not supporting final or volatile fields.
Knockout Advanced Concepts By Surekha Gadkari
This document covers key concepts in KnockoutJS including observables, custom bindings, components, and references. Observables allow values to update the DOM automatically and can be arrays or computed values. Custom bindings give flexibility to control how observables interact with elements. Components encapsulate reusable UI chunks and can receive and write back parameters. Custom elements provide an alternative syntax to components.
Webinar: Introducing the MongoDB Connector for BI 2.0 with Tableau
Pairing your real-time operational data stored in a modern database like MongoDB with first-class business intelligence platforms like Tableau enables new insights to be discovered faster than ever before.
Many leading organizations already use MongoDB in conjunction with Tableau including a top American investment bank and the world’s largest airline. With the Connector for BI 2.0, it’s never been easier to streamline the connection process between these two systems.
In this webinar, we will create a live connection from Tableau Desktop to a MongoDB cluster using the Connector for BI. Once we have Tableau Desktop and MongoDB connected, we will demonstrate the visual power of Tableau to explore the agile data storage of MongoDB.
You’ll walk away knowing:
- How to configure MongoDB with Tableau using the updated connector
- Best practices for working with documents in a BI environment
- How leading companies are using big data visualization strategies to transform their businesses
What's hot (20)
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
MongoDB .local Paris 2020: Tout savoir sur le moteur de recherche Full Text S...
MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB SoCal 2020: Migrate Anything* to MongoDB Atlas
MongoDB Schema Design: Practical Applications and Implications
MongoDB Schema Design: Practical Applications and Implications
MongoDB .local Munich 2019: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local Munich 2019: MongoDB Atlas Data Lake Technical Deep Dive
MongoDB .local Paris 2020: Devenez explorateur de données avec MongoDB Charts
MongoDB .local Paris 2020: Devenez explorateur de données avec MongoDB Charts
Addressing Your Backup Needs Using Ops Manager and Atlas
Addressing Your Backup Needs Using Ops Manager and Atlas
Webinar: Introducing the MongoDB Connector for BI 2.0 with Tableau
Webinar: Introducing the MongoDB Connector for BI 2.0 with Tableau
Similar to Code Camp - Building a Glass app with Wakanda
Cloud and azure and rock and roll
This document discusses Microsoft Azure cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It provides examples of Azure services like virtual machines, web apps, SQL databases, and machine learning. It also demonstrates how to perform tasks like uploading files to Azure blob storage using different programming languages.
Samedi SQL Québec - La plateforme data de Azure
6 juin 2015
Samedi SQL à Québec
Session 3 - Data (SQL Azure, Table et Blob Storage) (Eric Moreau)
SQL Azure est une base de données relationnelle en tant que service, Azure Storage permet de stocker et d'extraire de gros volumes de données non structurées (par exemple, des documents et fichiers multimédias) avec les objets blob Azure ; de données NoSql structurées avec les tables Azure ; de messages fiables avec les files d'attente Azure.
Spark Saturday: Spark SQL & DataFrame Workshop with Apache Spark 2.3
This introductory workshop is aimed at data analysts & data engineers new to Apache Spark and exposes them how to analyze big data with Spark SQL and DataFrames.
In this partly instructor-led and self-paced labs, we will cover Spark concepts and you’ll do labs for Spark SQL and DataFrames
in Databricks Community Edition.
Toward the end, you’ll get a glimpse into newly minted Databricks Developer Certification for Apache Spark: what to expect & how to prepare for it.
* Apache Spark Basics & Architecture
* Spark SQL
* DataFrames
* Brief Overview of Databricks Certified Developer for Apache Spark
Document Model for High Speed Spark Processing
The document discusses Apache Spark and its integration with MongoDB. It provides an overview of Spark's architecture and capabilities including Spark SQL, streaming, machine learning libraries. It then covers use cases and benefits of using Spark with MongoDB, including real-time analytics, fraud detection, and time series analysis. The document demonstrates how the Stratio Spark-MongoDB connector allows querying and analyzing MongoDB data using Spark SQL and DataFrames.
The web as it should be
With the advent of CSS3 and the ever-greater maturity of HTML5, it’s an exciting time for the Web. The possibilities for creating truly engaging – even addictive – Web and business applications appear limitless. And, with the release of Internet Explorer 9, Microsoft finally came in from the cold after many years in the world wide wilderness.
As Internet Explorer moves towards full support of standards-based HTML5 and CSS3, this is a great opportunity to hear from Martin Beeby about how these key technologies will be used to build and deliver the applications of tomorrow, engage end-users like never before, and generate even greater loyalty to Web-sites.
A Tale of Three Apache Spark APIs: RDDs, DataFrames and Datasets by Jules Damji
Abstract:- Of all the developers delight, none is more attractive than a set of APIs that make developers productive, that are easy to use, and that are intuitive and expressive. Apache Spark offers these APIs across components such as Spark SQL, Streaming, Machine Learning, and Graph Processing to operate on large data sets in languages such as Scala, Java, Python, and R for doing distributed big data processing at scale. In this talk, I will explore the evolution of three sets of APIs - RDDs, DataFrames, and Datasets available in Apache Spark 2.x. In particular, I will emphasize why and when you should use each set as best practices, outline its performance and optimization benefits, and underscore scenarios when to use DataFrames and Datasets instead of RDDs for your big data distributed processing. Through simple notebook demonstrations with API code examples, you'll learn how to process big data using RDDs, DataFrames, and Datasets and interoperate among them.
ASP.NET: Present and future
what's happening in ASP.NET, and where things are going. Or course, at time of writing (September 2013)
Simplifying & accelerating application development with MongoDB's intelligent...
The document discusses MongoDB's Intelligent Operational Data Platform and how it allows developers to simplify application development. It highlights how MongoDB uses a document model which is more flexible than a relational database and allows for embedding of related data. MongoDB also provides features like multi-document transactions, full indexing capabilities, advanced aggregations, and change streams for building reactive applications in real-time.
7 Databases in 70 minutes
This document provides an overview of NoSQL databases in Azure. It discusses 7 different database types - key-value, column family, document, graph and Hadoop. For each database type it provides information on what it is, examples of use cases, and how to query or model data. It encourages attendees to explore these databases and stresses that choosing the right database for the job is important.
Denodo Partner Connect: Technical Webinar - Ask Me Anything
Watch full webinar here: https://buff.ly/47jH4lk
In this session, Denodo experts will cover a deeper dive into the top 5 differentiated use cases for Denodo by answering any questions since the previous session.
Additionally, we invite partners to bring any general questions related to Denodo, the Denodo Platform, or data management.
RESTful OSGi middleware for NoSQL databases with Docker
Slides of my talk at Snowcamp 2016 in Grenoble, http://sched.co/5nB9 - code is at https://github.com/bdelacretaz/sling-nosql-frontend
2.28.17 Introducing DSpace 7 Webinar Slides
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
Spark and MongoDB
Modern architectures are moving away from a "one size fits all" approach. We are well aware that we need to use the best tools for the job. Given the large selection of options available today, chances are that you will end up managing data in MongoDB for your operational workload and with Spark for your high speed data processing needs.
Description: When we model documents or data structures there are some key aspects that need to be examined not only for functional and architectural purposes but also to take into consideration the distribution of data nodes, streaming capabilities, aggregation and queryability options and how we can integrate the different data processing software, like Spark, that can benefit from subtle but substantial model changes. A clear example is when embedding or referencing documents and their implications on high speed processing.
Over the course of this talk we will detail the benefits of a good document model for the operational workload. As well as what type of transformations we should incorporate in our document model to adjust for the high speed processing capabilities of Spark.
We will look into the different options that we have to connect these two different systems, how to model according to different workloads, what kind of operators we need to be aware of for top performance and what kind of design and architectures we should put in place to make sure that all of these systems work well together.
Over the course of the talk we will showcase different libraries that enable the integration between spark and MongoDB, such as MongoDB Hadoop Connector, Stratio Connector and MongoDB Spark Native Connector.
By the end of the talk I expect the attendees to have an understanding of:
How they connect their MongoDB clusters with Spark
Which use cases show a net benefit for connecting these two systems
What kind of architecture design should be considered for making the most of Spark + MongoDB
How documents can be modeled for better performance and operational process, while processing these data sets stored in MongoDB.
The talk is suitable for:
Developers that want to understand how to leverage Spark
Architects that want to integrate their existing MongoDB cluster and have real time high speed processing needs
Data scientists that know about Spark, are playing with Spark and want to integrate with MongoDB for their persistency layer
Couchdb Nosql
- Apache CouchDB is a scalable key-value store that uses peer-based replication for data synchronization. It uses an append-only file structure and is designed to be crash resilient.
- CouchDB stores data as JSON documents and uses JavaScript based map-reduce functions to index and query the documents. The API is RESTful and uses HTTP.
- CouchDB is optimized for web applications by allowing data access with low latency and enabling fully replicated applications that can scale from a single machine to a cluster of servers.
Building APIs in an easy way using API Platform
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.
Play framework
The document introduces the Play Framework version 2.1 and highlights its key features. It demonstrates building a sample application in Scala using Play's reactive, non-blocking architecture. Key features discussed include Play's built-in support for Scala, reactive programming, JSON APIs, routing, templates, and testing.
Developing a HTML5 Client With Lightswitch
Link to video recording on youtube.com: http://www.youtube.com/watch?v=cwsEXt9gb1w
Writing a HTML5 Client from scratch is a tedious job. Anything that can lighten the burden is more than welcome.
After seeing a presentation of Lightswitch, a Visual Studio plug-in, I was surprised how easy it was to create and customize a HTML5 Client. The next logical question that popped in my mind was: 'Can I use this for my drupal sites?'
This presentation describes how I got started using Lightswitch for creating a HTML5 Client for my personal blog. As it turns out, there are a few options to connect to your drupal data, each with their advantages and disadvantages.
Next I cover how to customize the User Interface. As the Client is HTML5 and includes jQuery Mobile, a wide range of mobile widgets is available.
During the presentation, there will be demos showing how helpful Lightswitch is when creating an HTML5 Client.
A basic understanding of Javascript and jQuery is convenient to follow along, but not required.
Eagle6 mongo dc revised
This document discusses MongoDB and the needs of Rivera Group, an IT services company. It notes that Rivera Group has been using MongoDB since 2012 to store large, multi-dimensional datasets with heavy read/write and audit requirements. The document outlines some of the challenges Rivera Group faces around indexing, aggregation, and flexibility in querying datasets.
Eagle6 Enterprise Situational Awareness
Eagle6 is a product that use system artifacts to create a replica model that represents a near real-time view of system architecture. Eagle6 was built to collect system data (log files, application source code, etc.) and to link system behaviors in such a way that the user is able to quickly identify risks associated with unknown or unwanted behavioral events that may result in unknown impacts to seemingly unrelated down-stream systems. This session is designed to present the capabilities of the Eagle6 modeling product and how we are using MongoDB to support near-real-time analysis of large disparate datasets.
Cloud Native Application Development - build fast, cheap, scalable and agile ...
The document discusses Oracle Cloud Native Application Development. It describes how to build fast, scalable software on Oracle Cloud Infrastructure using a cloud native approach. It provides an overview of various Oracle Cloud services that can be used for cloud native application development, including Functions, API Gateway, NoSQL Database, Streaming and Notifications. It then demonstrates a sample cloud native application that collects tweets, stores them in a NoSQL database and sends reports via email using various Oracle Cloud services.
Similar to Code Camp - Building a Glass app with Wakanda (20)
Spark Saturday: Spark SQL & DataFrame Workshop with Apache Spark 2.3
Spark Saturday: Spark SQL & DataFrame Workshop with Apache Spark 2.3
A Tale of Three Apache Spark APIs: RDDs, DataFrames and Datasets by Jules Damji
A Tale of Three Apache Spark APIs: RDDs, DataFrames and Datasets by Jules Damji
Simplifying & accelerating application development with MongoDB's intelligent...
Simplifying & accelerating application development with MongoDB's intelligent...
Denodo Partner Connect: Technical Webinar - Ask Me Anything
Denodo Partner Connect: Technical Webinar - Ask Me Anything
RESTful OSGi middleware for NoSQL databases with Docker
RESTful OSGi middleware for NoSQL databases with Docker
Cloud Native Application Development - build fast, cheap, scalable and agile ...
Cloud Native Application Development - build fast, cheap, scalable and agile ...
Recently uploaded
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Infrastructure Challenges in Scaling RAG with Custom AI models
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Best 20 SEO Techniques To Improve Website Visibility In SERP
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.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Programming Foundation Models with DSPy - Meetup Slides
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.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
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!
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
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.GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Recently uploaded (20)
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Infrastructure Challenges in Scaling RAG with Custom AI models
Infrastructure Challenges in Scaling RAG with Custom AI models
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Code Camp - Building a Glass app with Wakanda
- 2. Android on my Face Google Glass ...being a glass-hole
- 6. Lyle Troxell Developer Advocate for wakandaDB @lyle
- 7. 4D Inc Creates Development Tools For Data-Rich Applications
- 13. Buisness Applications Compiled Client - Server Relational Data Current Record Found Sets
- 14. 4D is Sponsoring... ...and giving away a Nexus 7 Visit the Wakanda Table
- 15. Show what Glass Looks Like
- 18. Show some Code follow along at... github.com/lyle/GlassWakanda
- 19. Wakanda Wakanda Application Framework Wakanda Studio WakandaDB
- 21. Wakanda Studio Data Modeler -> JSON IDE Start/Stop wakandaDB
- 22. Database Object-Relational JavaScript Objects Indexed Transactional Web Server RESTful Interface JavaScript SS Multi-Threaded Services with CommonJS wakandaDB
- 24. {"dataClasses": [ { "name": "Chicken", "className": "Chicken", "collectionName": "Chickens", "scope": "public", "attributes": [ { "name": "ID", "kind": "storage", "scope": "public", "unique": true, "autosequence": true, "type": "long", "primKey": true }, { "name": "name", "kind": "storage", "scope": "public", "type": "string" }, { "name": "hatchDate", "kind": "storage", "scope": "public", "type": "date", "simpleDate": false } } ] } ]}
- 26. One More Thing... October 25th JS.everywhere(2013)