nosql

Recursos de programación de nosql
NoSQL claim was to use the right database model for the right domain. Bad news, in most cases a single database model is not enough! "In last years NoSQL experienced a huge upward trend, offering new data models (Document, Graph, Key-Value...) to solve problems where old RDBMS failed. Now people who have chosen NoSQL as an architecture component, realize that a single data model (even when richer that relational), is not enough for average needs. Today's next generation solutions scale horizontally and provide enterprise-grade availability and security whilst simplifying development through multiple APIs. Luigi Dell'Aquila, Director of Consulting at OrientDB Ltd, discusses the latest technology innovations and the market's demand for databases that combine more than one NoSQL model (ex. GraphDB, DocumentDB, Key/Value, Objects). In this lecture, we will discuss why graph databases are at the heart of the multi-model revolution and why we're approaching the end of NoSQL's fragmented ecosystem where customers are forced to use multiple tools in their architectures. Benefits and compromises of this approach along with real world use cases will also be shared.
ElasticSearch is a really powerful search engine, NoSQL database & analytics engine. It is fast, it scales and it's a child of the Cloud/BigData generation. This talk will show you how to get things done using ElasticSearch. The focus is on doing actual work, creating actual queries and achieving actual results. Topics that will be covered: - Filters and queries - Cluster, shard and index management - Data mapping - Analyzers and tokenizers - Aggregations - ElasticSearch as part of the ELK stack - Integration in your code
What’s important about a technology is what you can use it to do. I’ve looked at what a number of groups are doing with Apache Hadoop and NoSQL in production, and I will relay what worked well for them and what did not. Drawing from real world use cases, I show how people who understand these new approaches can employ them well in conjunction with traditional approaches and existing applications. Thread Detection, Datawarehouse optimization, Marketing Efficiency, Biometric Database are some examples exposed during this presentation.
¿Quieres saber más? https://www.paradigmadigital.com/ Índice interactivo aquí debajo: 00:00 Óscar Méndez da la bienvenida e introduce el evento 07:33 Óscar Méndez cede el testigo a Nacho Herranz 09:21 Nuevas arquitecturas 09:33 NoSQL 09:44 Big Data 09:56 Cloud 10:11 PaaS 10:35 UX 10:47 Calidad integrada 11:15 DevOps 11:27 Continuous Delivery 11:43 Metodologías ágiles 11:55 Cultura Digital 12:48 Continuous Delivery 16:28 Entregas continuas de pequeños incrementos funcionales 18:58 Continuous Delivery + PaaS 22:29 Ejemplo de Continuous Delivery + PaaS 28:33 Conclusiones 30:00 Nacho Herranz da paso a la ponencia de Miguel Ángel Díaz 31:14 Automation + autonomy = Agility 31:26 Levels of abstraction 31:41 Converge of IAAS and PAAS 32:43 Openshift 32:45 Community powered innovation 35:35 ¿Qué es openshift? 37:11 Demo 45:26 Making the DevOps Dream a Reality 45:34 Casos de uso 56:08 Openstack 56:13 Openstack: framework for the cloud 57:13 ¿Por qué Open Stack? 57:14 Red hat Cloud Infrastructure 58:04 Open Hybrid Cloud 58:34 Storage solutions for new workloads 59:05 Red Hat Cloud Suite Applications 59:07 Red Hat Brings It All Together 01:00:00 Fin
¿Quieres saber más? https://www.paradigmadigital.com/ Índice interactivo aquí debajo: 00:32 Índice 01:02 Un poco de historia de Amazon y su fundador 04:18 ¿Qué es AWS? 05:23 Dónde están. Mapa 06:51 ¿Qué es EC2? 12:41 EC2 Dashborad 15:43 Redes. VPC (virtual private cloud) 18:51 Redes SG (security groups) 19:42 ELB (elastic load balancing) 22:04 Almacenamiento S3 (simple storage service) 24:59 RDS (relational database service) 29:12 NoSQL – DYNAMODB 31:37 Elasticache 32:25 IAM (identity and Access management) 34:04 Cloufront 37:22 Cloudwatch 38:50 Más servicios 40:55 Preguntas Nuestro compañero Ernesto nos introduce en el mundo de posibilidades que ofrece Amazon.
¿Quieres saber más? https://www.paradigmadigital.com/ Índice interactivo aquí debajo: ¿Quieres saber más? https://www.paradigmadigital.com/ Índice interactivo aquí debajo: 00:25 Introducción a Redis 01:13 Sistemas actuales 02:32 Bases de datos NoSQL 04:14 ¿Qué es Redis? 05:07 Ventajas e incovenientes de redis 07:24 Redis como base de datos clave / valor NoSQL 09:33 Tipos de datos en Redis 10:49 Strings 11:27 Hash tables 12:17 Tables 14:07 Sorted sets 15:08 Redis como caché 16:27 Expiración del dato 17:44 Redis como bróker de mensajería 18:40 Persistencia en disco 32:49 FIN
El Data Warehouse tradicional ha sido clave en las organizaciones durante mucho tiempo, siendo el punto central de toda la parte analítica por ello, Rubén Pertusa propone en esta sesión enseñarnos a activar e integrar en Power BI todas las piezas del Moder Data Warehouse, usando Cubos OLAP, Hadoop, NoSQL, Machine Learning y Stream Analytics.
In this talk I will explain the differences between different types of noSQL databases. I will then progress to illustrate which paradigm shifts are necessary to successfully implement noSQL, using MongoDB as an example. The approaches to schema design, fault tolerance, the network breaking and latency are all things that are inherent to scalability with noSQL solutions and with this talk you will learn how to use MongoDB effectively considering all the above mentioned situations. Covered subjects will be: schema design, dealing with error situations and architecture of multi-node set-ups. For more information visit https://joind.in/talk/view/15872
Para amantes de MongoDB. Entra en las profundidades de tu BD NoSQL favorita. Modelos de datos NoSQL en MongoDB. Consultas Avanzadas. MMS. DBaaS: MongoDB en Cloud. Herramientas de trabajo con MongoDB y Casos de uso en MongoDB.
Descripción del sistema de almacenamiento y explotación de datos NoSQL. Presentación de las características de NoSQL en PostgreSQL. Integración con JSON. Comparativa de rendimiento de MongoDB con PostgreSQL en relación con SELECTS, INSERTS, carga de datos y tamaño de la base de datos. Breve reseña a ToroDB.