Using mruby in the nosql database Avocadodb
•
4 likes•1,066 views
Frank Celler discusses using the Ruby-based scripting language mruby as an embedded language in the AvocadoDB nosql database. He explains that AvocadoDB offers unique features and solves some problems of other nosql databases. The mruby subproject allows using Ruby scripts for stored procedures, as an alternative to JavaScript, and provides access to AvocadoDB's graph functions. He invites interested developers to get involved with the AvocadoDB project.
Report
Share
Report
Share
Download to read offline
Recommended
Intro ror
Ruby on Rails is a full-stack web application framework used by companies like Twitter, GitHub, and Groupon. It uses conventions over configurations, following typical directory structures and naming conventions. Ruby on Rails promotes agile development through rapid prototyping, built-in generators, and plugins and libraries.
CEPH DAY BERLIN - WELCOME
Ceph Day Berlin is a conference about Ceph, an open source unified storage system. Ceph provides object, block, and file storage and has no single point of failure. It is scalable, allowing storage to grow and shrink online, and is widely used in OpenStack clouds, Kubernetes, and the Hadoop ecosystem. The Ceph Foundation was formed to support the Ceph community through events, infrastructure, and other initiatives. Upcoming events include Cephalocon in Barcelona in May 2019.
Ceph Day Santa Clara Welcome
This document announces Ceph Days, a series of half or full day events about the Ceph storage system organized worldwide since 2016. The upcoming Ceph Days event will be on September 19, 2018 in Santa Clara, California and will include talks from Ceph engineers, users, and industry representatives on a variety of Ceph topics. Details are provided on past Ceph Days events, speakers, and how interested organizations can host a Ceph Days event.
Drupal as a Semantic Web platform - ISWC 2012
This presentation describes some use cases and deployments of Drupal for building bio-medical platforms powered by semantic web technologies such as RDF, SPARQL, JSON-LD.
Drupal 8 Configuration Management
This document discusses Drupal 8's new configuration management system which stores things like content types, menus, views, taxonomy terms, and settings in code-managed configuration files rather than the database. It notes benefits like eliminating 50 database tables, reduced need for features and strongarm modules, and translatability. Configuration can be stored and versioned in files under CVS/Git or in MongoDB. The document also covers how the configuration system interacts with the Features module and provides new Drush commands for exporting, importing, editing, getting, listing, and pulling configuration.
Data strategies - Drupal Decision Makers training
This document discusses data strategies in Drupal, including using structured data like Schema.org to enhance search engine results. It explains how to describe content types and their properties to help machines understand web pages. The document also introduces RDF extensions that allow Drupal to expose structured data through formats like RDF, JSON-LD and SPARQL to integrate with the semantic web.
Ruby for soul of BigData Nerds
This document discusses big data challenges and trends in data collection, storage, analysis, and stream processing. It introduces tools like Fluentd for data collection and filtering, Hadoop and OpenTSDB for storage, Hadoop Streaming and Hive for analysis, and custom dashboards or services like Tableau for visualization. It also covers stream computing with STORM, describing streams, spouts, bolts, and topologies, and provides an example of visualizing bandwidth usage with RedStorm on JRuby. The document is presented by an engineering team lead who founded BigData.SG and contributes to fluentd, pfeed, and other projects.
MongoDB SF Ruby
MongoDB presentation for SF Ruby's June meetup. Review of non-relational databases for the first half, focus on MongoDB for the second.
Recommended
Intro ror
Ruby on Rails is a full-stack web application framework used by companies like Twitter, GitHub, and Groupon. It uses conventions over configurations, following typical directory structures and naming conventions. Ruby on Rails promotes agile development through rapid prototyping, built-in generators, and plugins and libraries.
CEPH DAY BERLIN - WELCOME
Ceph Day Berlin is a conference about Ceph, an open source unified storage system. Ceph provides object, block, and file storage and has no single point of failure. It is scalable, allowing storage to grow and shrink online, and is widely used in OpenStack clouds, Kubernetes, and the Hadoop ecosystem. The Ceph Foundation was formed to support the Ceph community through events, infrastructure, and other initiatives. Upcoming events include Cephalocon in Barcelona in May 2019.
Ceph Day Santa Clara Welcome
This document announces Ceph Days, a series of half or full day events about the Ceph storage system organized worldwide since 2016. The upcoming Ceph Days event will be on September 19, 2018 in Santa Clara, California and will include talks from Ceph engineers, users, and industry representatives on a variety of Ceph topics. Details are provided on past Ceph Days events, speakers, and how interested organizations can host a Ceph Days event.
Drupal as a Semantic Web platform - ISWC 2012
This presentation describes some use cases and deployments of Drupal for building bio-medical platforms powered by semantic web technologies such as RDF, SPARQL, JSON-LD.
Drupal 8 Configuration Management
This document discusses Drupal 8's new configuration management system which stores things like content types, menus, views, taxonomy terms, and settings in code-managed configuration files rather than the database. It notes benefits like eliminating 50 database tables, reduced need for features and strongarm modules, and translatability. Configuration can be stored and versioned in files under CVS/Git or in MongoDB. The document also covers how the configuration system interacts with the Features module and provides new Drush commands for exporting, importing, editing, getting, listing, and pulling configuration.
Data strategies - Drupal Decision Makers training
This document discusses data strategies in Drupal, including using structured data like Schema.org to enhance search engine results. It explains how to describe content types and their properties to help machines understand web pages. The document also introduces RDF extensions that allow Drupal to expose structured data through formats like RDF, JSON-LD and SPARQL to integrate with the semantic web.
Ruby for soul of BigData Nerds
This document discusses big data challenges and trends in data collection, storage, analysis, and stream processing. It introduces tools like Fluentd for data collection and filtering, Hadoop and OpenTSDB for storage, Hadoop Streaming and Hive for analysis, and custom dashboards or services like Tableau for visualization. It also covers stream computing with STORM, describing streams, spouts, bolts, and topologies, and provides an example of visualizing bandwidth usage with RedStorm on JRuby. The document is presented by an engineering team lead who founded BigData.SG and contributes to fluentd, pfeed, and other projects.
MongoDB SF Ruby
MongoDB presentation for SF Ruby's June meetup. Review of non-relational databases for the first half, focus on MongoDB for the second.
[drupalday2017] - DevOps: strumenti di automazione per Drupal8
Spesso durante lo sviluppo e la manutenzione di un progetto siamo costretti a svolgere attività ripetitive o noiose (dall’esecuzione di un task alla replicazione e aggiornamento del sistema). Per risolvere alcuni di questi problemi proveremo ad usare Zaratan, un comodo strumento basato su Docker per installare tutte le componenti necessarie al funzionamento di Drupal, e Robo, un task runner scritto in PHP in grado di eseguire sia comandi Drush che azioni sul filesystem, sul database, ecc...
di Marco Capobussi
Drupal day Roma 2017 - Zaratan
This document discusses how DevOps tools like Docker and Zaratan can help automate tasks and improve efficiency when managing Drupal 8 sites. It begins with an introduction of the speakers and overview of the talk. It then explains what Docker is, how it can package applications into standardized units, and demonstrates Docker and Docker Compose with Drupal 8. The document introduces Zaratan as a tool to more easily manage Docker projects without needing developer skills. It concludes with a demo of Zaratan with Drupal 8 and a discussion of potential future features.
How to build a production-ready in-memory-based application in 1 hour
This document provides an overview of the Hypi platform, which uses GraphQL and Apache Ignite to provide a serverless backend API that can integrate with any public or private cloud. It discusses key aspects of GraphQL and Apache Ignite, and demonstrates how to build a TODO application using the Hypi platform, focusing on creating, completing, commenting on, and searching TODO items. The document also provides details on how data is stored and queries are routed in Hypi's architecture.
PHPCR - Standard Content Repository for PHP
PHPCR is a standard interface for content repositories that provides a common API for working with content stored in different backend systems. It defines interfaces for accessing and modifying a content repository using a tree structure with nodes, properties, queries, versioning and more. PHPCR also includes PHP scripting bindings, allowing applications to interact with repositories directly from PHP code through a standard interface.
Into the cold - Object Storage in SWITCHengines
This document provides an overview of SWITCH and its use of Ceph object storage. Some key points:
1) SWITCH offers integrated ICT solutions to the Swiss academic community, including an OpenStack-based IaaS platform that uses Ceph for block and object storage.
2) Several SWITCH services like video hosting and a national MOOC platform now store assets in Ceph object storage for performance and cost reasons.
3) SWITCH's Ceph infrastructure currently includes two regions with over 4PB of total storage capacity used primarily for block and object storage.
4) SWITCH aims to build a national long-term storage service using Ceph erasure coding to provide 100GB/
Ceph and Storage Management with openATTIC - FOSDEM 2017-02-05
Slides of my talk about openATTIC at FOSDEM 2017 in Brussels, Belgium. See https://fosdem.org/2017/schedule/event/openattic/ for details.
Developing a Staff-Only Samvera Application
Presented with Trey Pendragon for the Princeton University Library at Samvera Connect 2017 (November 8th, 2017)
Phase2 Large Drupal Multisites (gta case study)
This document discusses Drupal platforms and multi-site configurations. It defines a Drupal platform as a structural form that enables the creation of products and processes without requiring new technology introductions. A Drupal multi-site allows a single Drupal installation to be shared among multiple sites, with each site having its own database and configuration. The document then describes how Georgia.gov uses a multi-site Drupal platform with inherited functionality from an OpenPublic and Georgia Agency Platform to manage many state websites from a single codebase.
Slides from Gangplank discussion
This document discusses options for an open data platform and summarizes key considerations. It notes major advances in tools for search, visualization, deployment, authentication, and the semantic web. While commercial support is not adverse, an open platform is preferred to leverage leading tools and allow for extensions. The development plan outlines using established libraries and technologies like Elasticsearch, Google Charts, and AWS. Current work focuses on mapping and schemas, with additional visualization, authentication, and distribution features in the backlog.
OrientDB
This presentation gives an overview of the OrientDB database project. It explains OrientDB in terms of it's functionality, its indexing and architecture. It examines the ETL functionality as well as the UI available.
Links for further information and connecting
http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/
https://nz.linkedin.com/pub/mike-frampton/20/630/385
https://open-source-systems.blogspot.com/
Polyglot Persistence & Big Data in the Cloud
This document discusses polyglot persistence and deploying big data technologies in the cloud. It introduces databases like HBase, Cassandra, MongoDB, CouchDB, and Riak for storing large amounts of data. Technologies like Elasticsearch and Solr are presented for search. Hadoop is described as a framework for distributed processing of large datasets. The document concludes by discussing how the Apache Whirr project can be used to deploy these technologies on cloud infrastructure.
Hadoop course content @ a1 trainingss
This document provides an overview of the course objectives for a training on big data and Hadoop. The course will cover introductory concepts of big data and Hadoop, components of the Hadoop ecosystem including MapReduce, Pig, Hive, Oozie, Flume, HBase, and Hue. It will teach how to set up Hadoop clusters and the Hadoop distributed file system. Students will learn how to develop MapReduce applications and use programming languages like Hive and Pig. The course will also cover using tools like Sqoop, common MapReduce algorithms, and data visualization with Tableau. Hands-on exercises are included to reinforce concepts taught.
Enterprise Integration for Ethereum
Bilgin Ibryam presented on enterprise integration with Ethereum. He discussed Red Hat's involvement in blockchain through partner ecosystems like BlockApps, participating in consortia like Hyperledger, and enabling their portfolio for blockchain projects. He described Apache Camel, an open source integration framework, and its Camel-web3j connector which provides integration with Ethereum nodes and APIs and supports smart contract interactions through filters and web3 operations.
Drupal sharing in HP7
This document discusses trends in Drupal and the web for website planning. It notes that over 3000 people attended DrupalCon San Francisco and around 150 are expected at DrupalCamp Taipei 2010. It outlines trends towards semantic web, Facebook integration, and early trends like embedding flash video and Google Maps. Solutions for these trends in Drupal are discussed, including RDFa support and Facebook modules. The document also discusses trends toward cross-browser, cross-platform websites and open source solutions, noting Whitehouse.gov's use of Drupal. Workflows for planning Drupal sites are presented. Background on Drupal's popularity and features is provided. The document concludes by introducing the organization NETivism.com.tw and some
Decoupling Content Management with Create.js and PHPCR
This document discusses decoupling content management systems from monolithic architectures by separating concerns into independent components. It introduces Create.js as a web editing interface, Symfony frameworks and bundles for building application logic, and PHPCR for content storage and retrieval. These separate components communicate over REST APIs and JSON-LD, allowing different technologies to be mixed while maintaining a consistent content API.
Orchestrating MySQL
This is the presentation at Percona Live 2015 on MySQL, MariaDB and Percona Orchestration on bare metal, virtualised environments and clouds (AWS and OpenStack).
No SQL Technologies
This document provides an overview of NoSQL databases. It defines NoSQL and compares it to SQL databases. It discusses the history and concepts behind several popular NoSQL databases like MongoDB, Cassandra, CouchDB, HBase, Amazon SimpleDB. It also provides examples of companies that use these NoSQL databases at large scale, such as Facebook, Twitter, Netflix, Yahoo.
MongoDB SF Python
MongoDB presentation for SF Python's June meetup. Review of non-relational databases for the first half, focus on MongoDB for the second.
seminar presentation on apache-spark
Apache Spark is a fast, general engine for large-scale data processing. It was created at UC Berkeley and is now an Apache open-source project. Spark provides high-level APIs in Scala, Java, Python and R that support distributed computing using the MapReduce paradigm. It can run on Hadoop, Mesos and standalone, and supports real-time streaming, machine learning and graph processing.
Hadoop
Hadoop is a software framework for distributed processing of large datasets across large clusters of computers
Large datasets Terabytes or petabytes of data
Large clusters hundreds or thousands of nodes
Introduction to Hadoop Administration
This document provides an overview of Hadoop, including:
1. Hadoop is an open-source software framework for distributed storage and processing of large datasets across clusters of commodity hardware.
2. It describes the architecture of Hadoop, including the Hadoop Distributed File System (HDFS) and MapReduce engine. HDFS uses a master/slave architecture with a NameNode and DataNodes, while MapReduce uses a JobTracker and TaskTrackers.
3. It discusses some common uses of Hadoop in industry, such as for log processing, web search indexing, and ad-hoc queries at large companies like Yahoo, Facebook, and Amazon.
NoSQL on the move
"NoSQL on the move" by Glynn Bird
Mobile-first app web development is a solved problem, but how can you websites and apps the continue to work with little or internet connectivity? Discover how Offline-first development allows apps to present an "always on" experience for their user
More Related Content
What's hot
[drupalday2017] - DevOps: strumenti di automazione per Drupal8
Spesso durante lo sviluppo e la manutenzione di un progetto siamo costretti a svolgere attività ripetitive o noiose (dall’esecuzione di un task alla replicazione e aggiornamento del sistema). Per risolvere alcuni di questi problemi proveremo ad usare Zaratan, un comodo strumento basato su Docker per installare tutte le componenti necessarie al funzionamento di Drupal, e Robo, un task runner scritto in PHP in grado di eseguire sia comandi Drush che azioni sul filesystem, sul database, ecc...
di Marco Capobussi
Drupal day Roma 2017 - Zaratan
This document discusses how DevOps tools like Docker and Zaratan can help automate tasks and improve efficiency when managing Drupal 8 sites. It begins with an introduction of the speakers and overview of the talk. It then explains what Docker is, how it can package applications into standardized units, and demonstrates Docker and Docker Compose with Drupal 8. The document introduces Zaratan as a tool to more easily manage Docker projects without needing developer skills. It concludes with a demo of Zaratan with Drupal 8 and a discussion of potential future features.
How to build a production-ready in-memory-based application in 1 hour
This document provides an overview of the Hypi platform, which uses GraphQL and Apache Ignite to provide a serverless backend API that can integrate with any public or private cloud. It discusses key aspects of GraphQL and Apache Ignite, and demonstrates how to build a TODO application using the Hypi platform, focusing on creating, completing, commenting on, and searching TODO items. The document also provides details on how data is stored and queries are routed in Hypi's architecture.
PHPCR - Standard Content Repository for PHP
PHPCR is a standard interface for content repositories that provides a common API for working with content stored in different backend systems. It defines interfaces for accessing and modifying a content repository using a tree structure with nodes, properties, queries, versioning and more. PHPCR also includes PHP scripting bindings, allowing applications to interact with repositories directly from PHP code through a standard interface.
Into the cold - Object Storage in SWITCHengines
This document provides an overview of SWITCH and its use of Ceph object storage. Some key points:
1) SWITCH offers integrated ICT solutions to the Swiss academic community, including an OpenStack-based IaaS platform that uses Ceph for block and object storage.
2) Several SWITCH services like video hosting and a national MOOC platform now store assets in Ceph object storage for performance and cost reasons.
3) SWITCH's Ceph infrastructure currently includes two regions with over 4PB of total storage capacity used primarily for block and object storage.
4) SWITCH aims to build a national long-term storage service using Ceph erasure coding to provide 100GB/
Ceph and Storage Management with openATTIC - FOSDEM 2017-02-05
Slides of my talk about openATTIC at FOSDEM 2017 in Brussels, Belgium. See https://fosdem.org/2017/schedule/event/openattic/ for details.
Developing a Staff-Only Samvera Application
Presented with Trey Pendragon for the Princeton University Library at Samvera Connect 2017 (November 8th, 2017)
Phase2 Large Drupal Multisites (gta case study)
This document discusses Drupal platforms and multi-site configurations. It defines a Drupal platform as a structural form that enables the creation of products and processes without requiring new technology introductions. A Drupal multi-site allows a single Drupal installation to be shared among multiple sites, with each site having its own database and configuration. The document then describes how Georgia.gov uses a multi-site Drupal platform with inherited functionality from an OpenPublic and Georgia Agency Platform to manage many state websites from a single codebase.
Slides from Gangplank discussion
This document discusses options for an open data platform and summarizes key considerations. It notes major advances in tools for search, visualization, deployment, authentication, and the semantic web. While commercial support is not adverse, an open platform is preferred to leverage leading tools and allow for extensions. The development plan outlines using established libraries and technologies like Elasticsearch, Google Charts, and AWS. Current work focuses on mapping and schemas, with additional visualization, authentication, and distribution features in the backlog.
OrientDB
This presentation gives an overview of the OrientDB database project. It explains OrientDB in terms of it's functionality, its indexing and architecture. It examines the ETL functionality as well as the UI available.
Links for further information and connecting
http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/
https://nz.linkedin.com/pub/mike-frampton/20/630/385
https://open-source-systems.blogspot.com/
Polyglot Persistence & Big Data in the Cloud
This document discusses polyglot persistence and deploying big data technologies in the cloud. It introduces databases like HBase, Cassandra, MongoDB, CouchDB, and Riak for storing large amounts of data. Technologies like Elasticsearch and Solr are presented for search. Hadoop is described as a framework for distributed processing of large datasets. The document concludes by discussing how the Apache Whirr project can be used to deploy these technologies on cloud infrastructure.
Hadoop course content @ a1 trainingss
This document provides an overview of the course objectives for a training on big data and Hadoop. The course will cover introductory concepts of big data and Hadoop, components of the Hadoop ecosystem including MapReduce, Pig, Hive, Oozie, Flume, HBase, and Hue. It will teach how to set up Hadoop clusters and the Hadoop distributed file system. Students will learn how to develop MapReduce applications and use programming languages like Hive and Pig. The course will also cover using tools like Sqoop, common MapReduce algorithms, and data visualization with Tableau. Hands-on exercises are included to reinforce concepts taught.
Enterprise Integration for Ethereum
Bilgin Ibryam presented on enterprise integration with Ethereum. He discussed Red Hat's involvement in blockchain through partner ecosystems like BlockApps, participating in consortia like Hyperledger, and enabling their portfolio for blockchain projects. He described Apache Camel, an open source integration framework, and its Camel-web3j connector which provides integration with Ethereum nodes and APIs and supports smart contract interactions through filters and web3 operations.
Drupal sharing in HP7
This document discusses trends in Drupal and the web for website planning. It notes that over 3000 people attended DrupalCon San Francisco and around 150 are expected at DrupalCamp Taipei 2010. It outlines trends towards semantic web, Facebook integration, and early trends like embedding flash video and Google Maps. Solutions for these trends in Drupal are discussed, including RDFa support and Facebook modules. The document also discusses trends toward cross-browser, cross-platform websites and open source solutions, noting Whitehouse.gov's use of Drupal. Workflows for planning Drupal sites are presented. Background on Drupal's popularity and features is provided. The document concludes by introducing the organization NETivism.com.tw and some
Decoupling Content Management with Create.js and PHPCR
This document discusses decoupling content management systems from monolithic architectures by separating concerns into independent components. It introduces Create.js as a web editing interface, Symfony frameworks and bundles for building application logic, and PHPCR for content storage and retrieval. These separate components communicate over REST APIs and JSON-LD, allowing different technologies to be mixed while maintaining a consistent content API.
Orchestrating MySQL
This is the presentation at Percona Live 2015 on MySQL, MariaDB and Percona Orchestration on bare metal, virtualised environments and clouds (AWS and OpenStack).
No SQL Technologies
This document provides an overview of NoSQL databases. It defines NoSQL and compares it to SQL databases. It discusses the history and concepts behind several popular NoSQL databases like MongoDB, Cassandra, CouchDB, HBase, Amazon SimpleDB. It also provides examples of companies that use these NoSQL databases at large scale, such as Facebook, Twitter, Netflix, Yahoo.
MongoDB SF Python
MongoDB presentation for SF Python's June meetup. Review of non-relational databases for the first half, focus on MongoDB for the second.
seminar presentation on apache-spark
Apache Spark is a fast, general engine for large-scale data processing. It was created at UC Berkeley and is now an Apache open-source project. Spark provides high-level APIs in Scala, Java, Python and R that support distributed computing using the MapReduce paradigm. It can run on Hadoop, Mesos and standalone, and supports real-time streaming, machine learning and graph processing.
Hadoop
Hadoop is a software framework for distributed processing of large datasets across large clusters of computers
Large datasets Terabytes or petabytes of data
Large clusters hundreds or thousands of nodes
What's hot (20)
[drupalday2017] - DevOps: strumenti di automazione per Drupal8
[drupalday2017] - DevOps: strumenti di automazione per Drupal8
How to build a production-ready in-memory-based application in 1 hour
How to build a production-ready in-memory-based application in 1 hour
Ceph and Storage Management with openATTIC - FOSDEM 2017-02-05
Ceph and Storage Management with openATTIC - FOSDEM 2017-02-05
Decoupling Content Management with Create.js and PHPCR
Decoupling Content Management with Create.js and PHPCR
Similar to Using mruby in the nosql database Avocadodb
Introduction to Hadoop Administration
This document provides an overview of Hadoop, including:
1. Hadoop is an open-source software framework for distributed storage and processing of large datasets across clusters of commodity hardware.
2. It describes the architecture of Hadoop, including the Hadoop Distributed File System (HDFS) and MapReduce engine. HDFS uses a master/slave architecture with a NameNode and DataNodes, while MapReduce uses a JobTracker and TaskTrackers.
3. It discusses some common uses of Hadoop in industry, such as for log processing, web search indexing, and ad-hoc queries at large companies like Yahoo, Facebook, and Amazon.
NoSQL on the move
"NoSQL on the move" by Glynn Bird
Mobile-first app web development is a solved problem, but how can you websites and apps the continue to work with little or internet connectivity? Discover how Offline-first development allows apps to present an "always on" experience for their user
Michael stack -the state of apache h base
The document provides an overview of Apache HBase, an open source, distributed, scalable, big data non-relational database. It discusses that HBase is modeled after Google's Bigtable and built on Hadoop for storage. It also summarizes that HBase is used by many large companies for applications such as messaging, real-time analytics, and search indexing. The project is led by an active community of committers and sees steady improvements and new features with each monthly release.
Spark 101
This document provides an overview of Apache Spark, including:
- Spark allows for fast iterative processing by keeping data in memory across parallel jobs for faster sharing than MapReduce.
- The core of Spark is the resilient distributed dataset (RDD) which allows parallel operations on distributed data.
- Spark comes with libraries for SQL queries, streaming, machine learning, and graph processing.
Apache Spark Fundamentals
This document provides an overview of the Apache Spark framework. It covers Spark fundamentals including the Spark execution model using Resilient Distributed Datasets (RDDs), basic Spark programming, and common Spark libraries and use cases. Key topics include how Spark improves on MapReduce by operating in-memory and supporting general graphs through its directed acyclic graph execution model. The document also reviews Spark installation and provides examples of basic Spark programs in Scala.
Lessons Learned from Dockerizing Spark Workloads
Many initiatives for running applications inside containers have been scoped to run on a single host. Using Docker containers for large-scale production environments poses interesting challenges, especially when deploying distributed Big Data applications like Apache Spark.
Some of these challenges include container lifecycle management, smart scheduling for optimal resource utilization, network configuration and security, and performance. BlueData is “all in” on Docker containers – with a specific focus on Spark applications. They’ve learned first-hand how to address these challenges for Fortune 500 enterprises and government organizations that want to deploy Big Data workloads using Docker.
This session at Spark Summit in February 2017 (by Thomas Phelan, co-founder and chief architect at BlueData) described lessons learned as well as some tips and tricks on how to Dockerize your Big Data applications in a reliable, scalable, and high-performance environment.
In this session, Tom described how to network Docker containers across multiple hosts securely. He discussed ways to achieve high availability across distributed Big Data applications and hosts in your data center. And since we’re talking about very large volumes of data, performance is a key factor. So Tom discussed some of the storage options that BlueData explored and implemented to achieve near bare-metal I/O performance for Spark using Docker.
https://spark-summit.org/east-2017/events/lessons-learned-from-dockerizing-spark-workloads
EDB Postgres with Containers
The use of containers to simplify and speed the deployment and development of applications is taking off. Most container usage is around stateless micro-services, but data and transactions are key components of most applications.
This presentation reviews:
- The purpose of containers and their usage
- How to containerize your EDB Postgres deployment
- How to deal with issues of managing your database and storage
- How to set up a cluster for high availability
- How to build a container with the EDB Postgres Enterprise Manager Agent in the container
Target Audience:
This technical presentation is for DBAs, Data Architects, Developers, DevOps, IT Operations and anyone responsible for supporting a Postgres interested in learning about Containers. It is equally suitable for organizations using community PostgreSQL as well as EDB’s Postgres Plus product family.
To listen to the recording which includes a demonstration, visit EnterpriseDB > Resources > Webcasts
Introduction to BIg Data and Hadoop
Hadoop is an open-source framework for distributed storage and processing of large datasets across clusters of commodity hardware. It addresses limitations in traditional RDBMS for big data by allowing scaling to large clusters of commodity servers, high fault tolerance, and distributed processing. The core components of Hadoop are HDFS for distributed storage and MapReduce for distributed processing. Hadoop has an ecosystem of additional tools like Pig, Hive, HBase and more. Major companies use Hadoop to process and gain insights from massive amounts of structured and unstructured data.
Building Applications using Apache Hadoop
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/16WDJ8b.
Eli Collins overviews how to build new applications with Hadoop and how to integrate Hadoop with existing applications, providing an update on the state of Hadoop ecosystem, frameworks and APIs.Filmed at qconnewyork.com.
Eli Collins is the tech lead for Cloudera's Platform team, an active contributor to Apache Hadoop and member of its project management committee (PMC) at the Apache Software Foundation. Eli holds Bachelor's and Master's degrees in Computer Science from New York University and the University of Wisconsin-Madison, respectively.
The architecture of oak
Apache Jackrabbit Oak is a new JCR implementation with a completely new architecture. Based on concepts like eventual consistency and multi-version concurrency control, and borrowing ideas from distributed version control systems and cloud-scale databases, the Oak architecture is a major leap ahead for Jackrabbit. This presentation describes the Oak architecture and shows what it means for the scalability and performance of modern content applications. Changes to existing Jackrabbit functionality are described and the migration process is explained.
Lessons Learned from Dockerizing Spark Workloads: Spark Summit East talk by T...
Many initiatives for running applications inside containers have been scoped to run on a single host. Using Docker containers for large-scale production environments poses interesting challenges, especially when deploying distributed Big Data applications like Apache Spark.
Some of these challenges include container lifecycle management, smart scheduling for optimal resource utilization, network configuration and security, and performance. At BlueData, we’re “all in” on Docker containers – with a specific focus on Spark applications. We’ve learned first-hand how to address these challenges for Fortune 500 enterprises and government organizations that want to deploy Big Data workloads using Docker.
In this session, you’ll learn about networking Docker containers across multiple hosts securely. We’ll discuss ways to achieve high availability across distributed Big Data applications and hosts in your data center. And since we’re talking about very large volumes of data, performance is a key factor. So we’ll discuss some of the storage options we explored and implemented at BlueData to achieve near bare-metal I/O performance for Spark using Docker. We’ll share our lessons learned as well as some tips and tricks on how to Dockerize your Big Data applications in a reliable, scalable, and high-performance environment.
Big data - Online Training
http://www.learntek.org/product/big-data-and-hadoop/
http://www.learntek.org
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses. We are dedicated to designing, developing and implementing training programs for students, corporate employees and business professional.
Lessons Learned Running Hadoop and Spark in Docker Containers
Many initiatives for running applications inside containers have been scoped to run on a single host. Using Docker containers for large-scale production environments poses interesting challenges, especially when deploying distributed big data applications like Apache Hadoop and Apache Spark. This session at Strata + Hadoop World in New York City (September 2016) explores various solutions and tips to address the challenges encountered while deploying multi-node Hadoop and Spark production workloads using Docker containers.
Some of these challenges include container life-cycle management, smart scheduling for optimal resource utilization, network configuration and security, and performance. BlueData is "all in” on Docker containers—with a specific focus on big data applications. BlueData has learned firsthand how to address these challenges for Fortune 500 enterprises and government organizations that want to deploy big data workloads using Docker.
This session by Thomas Phelan, co-founder and chief architect at BlueData, discusses how to securely network Docker containers across multiple hosts and discusses ways to achieve high availability across distributed big data applications and hosts in your data center. Since we’re talking about very large volumes of data, performance is a key factor, so Thomas shares some of the storage options implemented at BlueData to achieve near bare-metal I/O performance for Hadoop and Spark using Docker as well as lessons learned and some tips and tricks on how to Dockerize your big data applications in a reliable, scalable, and high-performance environment.
http://conferences.oreilly.com/strata/hadoop-big-data-ny/public/schedule/detail/52042
Apache Drill (ver. 0.1, check ver. 0.2)
This document outlines the history and design proposals of Apache Drill from the OpenDremel team. It describes OpenDremel starting in 2010 with an initial implementation based on the Dremel paper. Over time, the design was found to be naive and was restarted with a new architecture called Dazo inspired by BigQuery. The document proposes several design tenets for Apache Drill including supporting multi-tenancy, being flexible and customizable, being efficient through the use of ZeroVM for sandboxing, and having a suggested architecture with a browser frontend and multi-tenant backend.
Lightening Fast Big Data Analytics using Apache Spark
Quick Introduction of Hadoop & it's Limitation
Introduction of Spark
Spark Architecture
Programming model of Spark
Demo
Spark Use Cases
Introduction to NoSQL
The document provides an introduction and overview of NoSQL databases. It discusses why NoSQL databases were created, the different categories of NoSQL databases including column stores, document stores, and key-value stores. It also provides an overview of Hadoop, describing it as a framework that allows distributed processing of large datasets across computer clusters.
Architecting Your First Big Data Implementation
This document provides an overview of architecting a first big data implementation. It defines key concepts like Hadoop, NoSQL databases, and real-time processing. It recommends asking questions about data, technology stack, and skills before starting a project. Distributed file systems, batch tools, and streaming systems like Kafka are important technologies for big data architectures. The document emphasizes moving from batch to real-time processing as a major opportunity.
Building a Hadoop Data Warehouse with Impala
The document is a presentation about using Hadoop for analytic workloads. It discusses how Hadoop has traditionally been used for batch processing but can now also be used for interactive queries and business intelligence workloads using tools like Impala, Parquet, and HDFS. It summarizes performance tests showing Impala can outperform MapReduce for queries and scales linearly with additional nodes. The presentation argues Hadoop provides an effective solution for certain data warehouse workloads while maintaining flexibility, ease of scaling, and cost effectiveness.
Optimizing Dell PowerEdge Configurations for Hadoop
This document discusses optimizing Dell PowerEdge server configurations for Hadoop deployments. It recommends tested server configurations like the PowerEdge R720 and R720XD that provide balanced compute and storage. It also recommends a reference architecture using these servers along with networking best practices and validated software configurations from Cloudera to provide a proven, optimized big data platform.
Isomorphic JavaScript with Node, WebPack, and React
This document discusses isomorphic JavaScript, which refers to code that can run both on the server during rendering and in the browser.
It notes some key libraries like React that enable isomorphic code by allowing the same code to render markup on both the server and client. It also discusses pushing inconsistencies between the server and client environments up to higher levels of code or down into common libraries.
The document demonstrates how to set up a basic isomorphic JavaScript project using Webpack and React, and discusses the perspectives of library authors and application developers in building isomorphic code.
Similar to Using mruby in the nosql database Avocadodb (20)
Lessons Learned from Dockerizing Spark Workloads: Spark Summit East talk by T...
Lessons Learned from Dockerizing Spark Workloads: Spark Summit East talk by T...
Lessons Learned Running Hadoop and Spark in Docker Containers
Lessons Learned Running Hadoop and Spark in Docker Containers
Lightening Fast Big Data Analytics using Apache Spark
Lightening Fast Big Data Analytics using Apache Spark
Optimizing Dell PowerEdge Configurations for Hadoop
Optimizing Dell PowerEdge Configurations for Hadoop
Isomorphic JavaScript with Node, WebPack, and React
Isomorphic JavaScript with Node, WebPack, and React
Recently uploaded
Monitoring and Managing Anomaly Detection on OpenShift.pdf
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.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
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
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
5th LF Energy Power Grid Model Meet-up Slides
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.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
TrustArc Webinar - 2024 Global Privacy Survey
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
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Recently uploaded (20)
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Using mruby in the nosql database Avocadodb
- 1. AvocadoDB & mruby -‐ using Ruby as embedded language in a nosql database -‐ Frank Celler @fceller 2012-‐04-‐25 :: cologne.rb
- 2. Why did we start with AvocadoDB? • MongoDB, CouchDB, Riak etc are great projects … but we believe there‘s need && room for another nosql database • AvocadoDB offers a unique feature set && solves some problems of other nosql DBs • AvocadoDB is developed as a green field project without pressure from customer‘s projects • It‘s leaded by experienced database programmers (they already developed databases when most of us were sUll moving around sprites on our C64) ld greenfie project J
- 3. t flexible data schema free free index mulU-‐threaded modeling schemata choice www.avocadodb.org usable as SSD Support configurable server side mruby ?! applicaUon server durability Javascript
- 4. How the mruby subproject started
- 5. What‘s MRUBY about? h_ps://github.com/mruby/mruby
- 6. mruby in AvocadoDB • as alternaUve to Javascript (like LUA in Redis) • Implemeted: Prototype of an interacUve shell In detail informaUon (with performance tests) • h_p://www.avocadodb.org/category/mruby
- 7. mruby in AvocadoDb – what for? • Stored procedures („acUons“) • Replacement for map/reduce in Javascript • Accessing AvocadoDB‘s graphs • <your idea here>
- 8. Get in touch :: join the team • h_p://www.avocadodb.org • h_ps://github.com/triAGENS/AvocadoDB/ • Google Group: AvocadoDB • @fceller || @avocadoDB