In this overview of Redis Data Sets, we'll present:
What is Redis?
What are Redis sets?
Common use cases for Redis sets
Set operations in Redis
Internal implementation
Redis Sets vs. Redis Bitmaps
Introduction to Redis Data Structures: Sorted SetsScaleGrid.io
We provide an overview on what Redis is, what are sorted sets, common use cases for sorted sets, sorted set operations in Redis, internal implementation, and a comparison of Redis hashes and Redis sorted sets.
Introduction to Redis Data Structures: HashesScaleGrid.io
Learn about Redis data structures: hashes and contact us for hassle-free hosting for mongodb® and Redis®
Retrieve your connection string and start using your cluster.
Introduction to Redis Data Structures: Sorted SetsScaleGrid.io
We provide an overview on what Redis is, what are sorted sets, common use cases for sorted sets, sorted set operations in Redis, internal implementation, and a comparison of Redis hashes and Redis sorted sets.
Introduction to Redis Data Structures: HashesScaleGrid.io
Learn about Redis data structures: hashes and contact us for hassle-free hosting for mongodb® and Redis®
Retrieve your connection string and start using your cluster.
The FDA requires nonclinical data in all submissions for carcinogenicity and general toxicology studies initiated after December 17, 2016, to comply with data standards specifications. Learn more about the new SEND regulatory requirements and how Covance can help you get SEND-ready.
This presentation as been used to start the pilot phase of the OpenAIRE Advance' funded implementation project in DSpace-CRIS.
DSpace-CRIS now provide support for the OpenAIRE guidelines for CRIS manager in addition to the previous already supported guidelines for Literature Repository and DataArchive
Enhancing Interoperability: The Implementation of OpenAIRE Guidelines and COA...4Science
ABSTRACT: The continuous work of the OpenAIRE community on guidelines for CRIS managers, literature repositories, and data archives, together with the publication of the “Behaviours and Technical Recommendations of the COAR Next Generation Repositories Working Group”, are raising important challenges for the CRIS and the repository communities, working together to make research information more an more interoperable, and, hopefully, open. The recommendations of the Open Science Policy Platform, published by the European Commission, identify FAIR (Findable-Accessible-Interoperable-Reusable) data among its priorities. In an interoperable world, all these indications lead toward a common direction, where implementers are encouraged to use open protocols, such as the OAI-PMH and ResourceSync, open standards such as CERIF, persistent identifiers such as DOIs and ORCiDs, to make this happen. The presentation will go through these challenges, illustrating how CRIS and repository managers should work together toward a successful information exchange, and exemplifying how a single free open platform, DSpace-CRIS, can implement both a CRIS and a repository and fulfill requirements for a FAIR environment for research information and research objects.
Extending DSpace 7: DSpace-CRIS and DSpace-GLAM for empowered repositories an...4Science
Presentation given at OR2019 in Hamburg, Germany
In recent years there has been an increasing need to position institutional repositories in a broader context that enhances research opportunities and facilitates the discovery of resources. This presentation is about DSpace-CRIS and DSpace-GLAM, in their new version compatible with DSpace 7, with renewed features built with the updated technology stack of DSpace 7: Angular and REST API, their characteristics and novelties, and how their adoption can empower the role of repositories within academic, research, and cultural heritage institutions. The migration process for both DSpace-CRIS/GLAM and DSpace users that want to enhance their repository with the additional features and capabilities provided by version 7 will be presented. DSpace-CRIS and GLAM are continuously being aligned with DSpace versions and support is provided through the same community channels. Finally, the future roadmap of the project will be discussed, in the same way as in the last ten years when ideas and features blossomed in DSpace-CRIS were later adopted by the standard DSpace distribution. The community is numerous and growing and the exchange of experiences is beneficial for all organizations.
The presentation is about the new version of DSpace-CRIS 7, the enhanced, free, open-source extensions of DSpace adopted by more than one hundred institutions around the world to better collect, manage and disseminate information on their research activities and outputs. DSpace-CRIS has always anticipated the cutting edge innovation and technologies later included in the DSpace mainstream, and version 7 includes functionalities not available in DSpace 7.
How to enhance your DSpace repository: use cases for DSpace-CRIS, DSpace-RDM,...4Science
Presented by Susanna Mornati at the 2019 DSpace North American User Group Meeting September 23 & 24, 2019 at the University of Minnesota in Minneapolis.
Abstract: DSpace-CRIS is a free open-source platform based on DSpace for Research Data and Information Management, adopted by a wide international community of universities and research centers: DSpace-CRIS Home. It complies with recommendations, open standards and technologies such as the OAI-PMH, SignPosting, and ResourceSync (recommended by the COAR Next Generation Repositories WG), it features complete ORCID integration, compliance with the CERIF model, the IIIF framework, and with the OpenAIRE Guidelines for Literature Repositories, Data Archives, CRIS Managers, to improve findability, accessibility, interoperability, and reuse of digital assets for research and cultural heritage. DSpace-CRIS collects and disseminates information about researchers' profiles, organizations, publications, patents, grants, awards, and all entities that populate the research domain and their relationships, besides storing and exposing full-text publications, datasets, and other relevant digital objects, providing persistent identifiers and long-term preservation capabilities. DSpace-RDM exposes datasets to visual exploration and M2M streaming for analysis thanks to the integration with CKAN. DSpace-GLAM enhances the fruition of the cultural heritage through the (crowd-funded) IIIF image viewer, providing remote fruition of cultural heritage and offering a great user experience. These flavors of DSpace allow to expose and share open data, open information, and open digital objects in a collaborative, interoperable, and sustainable way. The use cases of a variety of institutions in different countries and continents will be shared to show the use of this powerful technology.
DSpace-CRIS slides presented at ORCID's Better Together webinar on 19.09.2019, full slide deck with ORCID introduction at https://doi.org/10.23640/07243.9884033.v2.
Video Recording available at https://vimeo.com/361523018
Cloud Developer Conference May 2011 SiliconIndia : Design for Failure - High ...Harish Ganesan
These slides were presented on SiliconIndia Cloud Developer conference May 2011. The presentation concentrates on architecting High Availability solutions using AWS
The FDA requires nonclinical data in all submissions for carcinogenicity and general toxicology studies initiated after December 17, 2016, to comply with data standards specifications. Learn more about the new SEND regulatory requirements and how Covance can help you get SEND-ready.
This presentation as been used to start the pilot phase of the OpenAIRE Advance' funded implementation project in DSpace-CRIS.
DSpace-CRIS now provide support for the OpenAIRE guidelines for CRIS manager in addition to the previous already supported guidelines for Literature Repository and DataArchive
Enhancing Interoperability: The Implementation of OpenAIRE Guidelines and COA...4Science
ABSTRACT: The continuous work of the OpenAIRE community on guidelines for CRIS managers, literature repositories, and data archives, together with the publication of the “Behaviours and Technical Recommendations of the COAR Next Generation Repositories Working Group”, are raising important challenges for the CRIS and the repository communities, working together to make research information more an more interoperable, and, hopefully, open. The recommendations of the Open Science Policy Platform, published by the European Commission, identify FAIR (Findable-Accessible-Interoperable-Reusable) data among its priorities. In an interoperable world, all these indications lead toward a common direction, where implementers are encouraged to use open protocols, such as the OAI-PMH and ResourceSync, open standards such as CERIF, persistent identifiers such as DOIs and ORCiDs, to make this happen. The presentation will go through these challenges, illustrating how CRIS and repository managers should work together toward a successful information exchange, and exemplifying how a single free open platform, DSpace-CRIS, can implement both a CRIS and a repository and fulfill requirements for a FAIR environment for research information and research objects.
Extending DSpace 7: DSpace-CRIS and DSpace-GLAM for empowered repositories an...4Science
Presentation given at OR2019 in Hamburg, Germany
In recent years there has been an increasing need to position institutional repositories in a broader context that enhances research opportunities and facilitates the discovery of resources. This presentation is about DSpace-CRIS and DSpace-GLAM, in their new version compatible with DSpace 7, with renewed features built with the updated technology stack of DSpace 7: Angular and REST API, their characteristics and novelties, and how their adoption can empower the role of repositories within academic, research, and cultural heritage institutions. The migration process for both DSpace-CRIS/GLAM and DSpace users that want to enhance their repository with the additional features and capabilities provided by version 7 will be presented. DSpace-CRIS and GLAM are continuously being aligned with DSpace versions and support is provided through the same community channels. Finally, the future roadmap of the project will be discussed, in the same way as in the last ten years when ideas and features blossomed in DSpace-CRIS were later adopted by the standard DSpace distribution. The community is numerous and growing and the exchange of experiences is beneficial for all organizations.
The presentation is about the new version of DSpace-CRIS 7, the enhanced, free, open-source extensions of DSpace adopted by more than one hundred institutions around the world to better collect, manage and disseminate information on their research activities and outputs. DSpace-CRIS has always anticipated the cutting edge innovation and technologies later included in the DSpace mainstream, and version 7 includes functionalities not available in DSpace 7.
How to enhance your DSpace repository: use cases for DSpace-CRIS, DSpace-RDM,...4Science
Presented by Susanna Mornati at the 2019 DSpace North American User Group Meeting September 23 & 24, 2019 at the University of Minnesota in Minneapolis.
Abstract: DSpace-CRIS is a free open-source platform based on DSpace for Research Data and Information Management, adopted by a wide international community of universities and research centers: DSpace-CRIS Home. It complies with recommendations, open standards and technologies such as the OAI-PMH, SignPosting, and ResourceSync (recommended by the COAR Next Generation Repositories WG), it features complete ORCID integration, compliance with the CERIF model, the IIIF framework, and with the OpenAIRE Guidelines for Literature Repositories, Data Archives, CRIS Managers, to improve findability, accessibility, interoperability, and reuse of digital assets for research and cultural heritage. DSpace-CRIS collects and disseminates information about researchers' profiles, organizations, publications, patents, grants, awards, and all entities that populate the research domain and their relationships, besides storing and exposing full-text publications, datasets, and other relevant digital objects, providing persistent identifiers and long-term preservation capabilities. DSpace-RDM exposes datasets to visual exploration and M2M streaming for analysis thanks to the integration with CKAN. DSpace-GLAM enhances the fruition of the cultural heritage through the (crowd-funded) IIIF image viewer, providing remote fruition of cultural heritage and offering a great user experience. These flavors of DSpace allow to expose and share open data, open information, and open digital objects in a collaborative, interoperable, and sustainable way. The use cases of a variety of institutions in different countries and continents will be shared to show the use of this powerful technology.
DSpace-CRIS slides presented at ORCID's Better Together webinar on 19.09.2019, full slide deck with ORCID introduction at https://doi.org/10.23640/07243.9884033.v2.
Video Recording available at https://vimeo.com/361523018
Cloud Developer Conference May 2011 SiliconIndia : Design for Failure - High ...Harish Ganesan
These slides were presented on SiliconIndia Cloud Developer conference May 2011. The presentation concentrates on architecting High Availability solutions using AWS
Cloud Connect 2013- Lock Stock and x Smoking EC2'sHarish Ganesan
This Slide was presented @ Cloud Connect 2013. Lock, Stock and X Smoking EC2's was by inspired by Guy Ritchie movies. It describes how we put Amazon EMR + Spot EC2 instances to use for a customer and achieved cost savings while solving a Big Data problem.
Auto scaling using Amazon Web Services ( AWS )Harish Ganesan
In this article i would like to share some of the insights on AWS Auto Scaling in following perspectives:
• Need for Auto Scaling
• How AWS Auto scaling can help to handle the various load volatility scenarios
• How to configure an Auto scaling policy in AWS
• Things to remember before Scaling out and down
• Understand the intricacies while integrating Auto scaling with other Amazon Web Services
• Risks involved in AWS Auto scaling
A NoSQL (often interpreted as Not Only SQL) database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases.
Introduction Presentation about NoSQL
Agenda:
- Why NoSQL
- What is NoSQL
- Distribution Models
- The CAP Theorem
- NoSQL Types
- NoSQL or Relational or Both
- Demo!
Redis data structure and Performance OptimizationKnoldus Inc.
Redis is an in-memory data structure store, used as a distributed, in-memory key–value database, cache and message broker, with optional durability.
Redis supports different kinds of abstract data structures, such as strings, lists, maps, sets, sorted sets, HyperLogLogs, bitmaps, streams, and spatial indices.
Redis is an open source, advanced key-value data store,Often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets
Annotating search results from web databases-IEEE Transaction Paper 2013Yadhu Kiran
Abstract—An increasing number of databases have become web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded into the result pages dynamically for human browsing. For the encoded data units to be machine processable, which is essential for many applications such as deep web data collection and Internet comparison shopping, they need to be extracted out and assigned meaningful labels. In this paper, we present an automatic
annotation approach that first aligns the data units on a result page into different groups such that the data in the same group have the same semantic. Then, for each group we annotate it from different aspects and aggregate the different annotations to predict a final annotation label for it. An annotation wrapper for the search site is automatically constructed and can be used to annotate new result pages from the same web database. Our experiments indicate that the proposed approach is highly effective.
Similar to Introduction to Redis Data Structures: Sets (20)
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
2. What is Redis?
Open Source, NoSQL Database
Used by: Twitter, Pinterest, GitHub
Stores Advanced Data Structures
Client Support: Java, C, Node.js etc
Introduction to Redis Data Structures: Sets
3. What are Redis Sets?
Unordered collection of Strings
Provides constant time addition, removal and membership checks
Supports reasonably fast union, intersection, subtraction operations between
sets
Does not allow repeated values
Introduction to Redis Data Structures: Sets
4. Common Use Cases for Sets
Used to track unique items
Can be used to denote as “belongs to” or
similar relationship
Sets can only be used to combine
relationships, i.e.
union/intersection/subtraction of sets
Introduction to Redis Data Structures: Sets
5. Set Operations in Redis
SADD SMEMBERS
SCARD SMOVES
SDIFF SPOP
SINTER SUNION
The complete list of set related Redis commands can be found here.
Introduction to Redis Data Structures: Sets
6. Internal Implementation
Redis internally stores Sets as dictionaries
Certain small sets (radix 10 in the range #
of 64 bit signed integers) called IntSets
Searches within the array are performed
through binary search
Introduction to Redis Data Structures: Sets
7. Redis Sets vs Redis Bitmaps
Sets are easier to manage,
program & debug
Work well for most apps
Small to medium size data
structures
> 232 Bits Domain SizeIntroduction to Redis Data Structures: Sets
Bitmaps are suitable over a large
number of keys
Depends on size & performance
of keys
8. Summary
The in-memory store will lead to really fast access so that the front-end feels
snappy
Redis set operations are either constant time or linear
Great for creating sets for other things you may wish to expose as filters in your
Visual Profiler like tags, price ranges, etc
Introduction to Redis Data Structures: Sets
9. Sign Up for a free 30 day Trial
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