Search engines work by storing information from billions of web pages using web crawlers, indexing and classifying that data, and returning the most relevant results to user queries within 1 second. Google operates 11 data centers around the world containing over 100,000 computers to handle the massive amount of data and localization requirements, with each new data center costing over $600 million.
MongoDB and Web Scraping with the Gyes platform. MongoDB Atlanta 2013Jesus Diaz
Gyes is an aggregation platform for the Web. Gyes allows you to develop, schedule and troubleshoot data extraction programs (crawlers) that translate html content into structured data you can use later on. In selecting the data model for the platform, several challenges arose due to the lack of structure of the scraped data, and the need to provide meaningful and efficient access to it. MongoDB was our third rewrite of the Gyes back-end, and by far has exceeded expectations. In this talk, I would like to discuss some of the challenges we faced, and how MongoDB addressed them. Details about implementation challenges are also shared.
Benefits of Search Engines ! BATRA COMPUTER CENTREjatin batra
Are you searching for computer training in Ambala?
Now your search ends here... Batra Computer Centre provides you training in Basics of Computer, C, C++, HTML, PHP, Web Designing, Web Development, SEO, SMO and many other courses.
Data Analytics Week at the San Francisco Loft
Voice Powered Analytics
Build an Alexa skill that queries metrics from a data lake. We’ll uncover Key Performance Indicators (KPIs) from a data set, build and automate queries for measuring those KPIs, and access them with Alexa voice-enabled devices.
Speakers:
Marie Yap - Enterprise Solutions Architect, AWS
David Roberts - Solutions Architect, AWS
Enterprise Search Summit Keynote: A Big Data Architecture for SearchSearch Technologies
This presentation was given by Search Technologies' CEO Kamran Khan at the November 2013 Enterprise Search Summit / KMWorld in Washington DC. He discussed how modern search engines are currently being combined with powerful independent content processing pipelines and the distributed processing technologies from big data to form new and exciting enterprise search architecture, delivering results only available to the biggest companies with the deepest pockets in the past. For more information visit http://www.searchtechnologies.com/.
balloon Synopsis at ISWC 2014 Developer WorksopKai Schlegel
The Semantic Web grows constantly and promises a huge amount of machine-interpretable information. Unfortunately, the inte- gration and usage of semantic information is not feasible by everyone. Hence, a large number of Semantic Web applications are lacking and the potential of the semantic knowledge remains unexploited. We propose balloon Synopsis, an easy-to-use jQuery plugin to integrate Semantic Web information in a website. It provides a modern visualisation and browser for RDF information including automatic remote information enhancing, similarity analysis and ontology templates. Balloon Synopsis enables web developers to rely on known tools and programming lan- guage to benefit of the global knowledge graph.
2018 GIS in Government: Publishing BLM Data On the WebGIS in the Rockies
The Bureau of Land Management (BLM) is an agency within the US Department of the Interior that manages public land in a multiple use and sustained yield manner. The BLM publishes a growing number of datasets related to its mission and programs to the public using Voyager and ESRI Geoportal software products.
This presentation will cover the various types and scales of BLM data (e.g., state level data, landscape level data, national level data), where these data are published and discoverable, and how the Voyager and ESRI Geoportal publication nodes are tied together for a seamless user experience. We will also cover how these technologies are integrated with other interagency platforms and metadata catalogs. Lastly, we will discuss the road ahead for maintaining a data presence on the web with increasingly changing technology and the opportunities that these changes in technology provide.
MongoDB and Web Scraping with the Gyes platform. MongoDB Atlanta 2013Jesus Diaz
Gyes is an aggregation platform for the Web. Gyes allows you to develop, schedule and troubleshoot data extraction programs (crawlers) that translate html content into structured data you can use later on. In selecting the data model for the platform, several challenges arose due to the lack of structure of the scraped data, and the need to provide meaningful and efficient access to it. MongoDB was our third rewrite of the Gyes back-end, and by far has exceeded expectations. In this talk, I would like to discuss some of the challenges we faced, and how MongoDB addressed them. Details about implementation challenges are also shared.
Benefits of Search Engines ! BATRA COMPUTER CENTREjatin batra
Are you searching for computer training in Ambala?
Now your search ends here... Batra Computer Centre provides you training in Basics of Computer, C, C++, HTML, PHP, Web Designing, Web Development, SEO, SMO and many other courses.
Data Analytics Week at the San Francisco Loft
Voice Powered Analytics
Build an Alexa skill that queries metrics from a data lake. We’ll uncover Key Performance Indicators (KPIs) from a data set, build and automate queries for measuring those KPIs, and access them with Alexa voice-enabled devices.
Speakers:
Marie Yap - Enterprise Solutions Architect, AWS
David Roberts - Solutions Architect, AWS
Enterprise Search Summit Keynote: A Big Data Architecture for SearchSearch Technologies
This presentation was given by Search Technologies' CEO Kamran Khan at the November 2013 Enterprise Search Summit / KMWorld in Washington DC. He discussed how modern search engines are currently being combined with powerful independent content processing pipelines and the distributed processing technologies from big data to form new and exciting enterprise search architecture, delivering results only available to the biggest companies with the deepest pockets in the past. For more information visit http://www.searchtechnologies.com/.
balloon Synopsis at ISWC 2014 Developer WorksopKai Schlegel
The Semantic Web grows constantly and promises a huge amount of machine-interpretable information. Unfortunately, the inte- gration and usage of semantic information is not feasible by everyone. Hence, a large number of Semantic Web applications are lacking and the potential of the semantic knowledge remains unexploited. We propose balloon Synopsis, an easy-to-use jQuery plugin to integrate Semantic Web information in a website. It provides a modern visualisation and browser for RDF information including automatic remote information enhancing, similarity analysis and ontology templates. Balloon Synopsis enables web developers to rely on known tools and programming lan- guage to benefit of the global knowledge graph.
2018 GIS in Government: Publishing BLM Data On the WebGIS in the Rockies
The Bureau of Land Management (BLM) is an agency within the US Department of the Interior that manages public land in a multiple use and sustained yield manner. The BLM publishes a growing number of datasets related to its mission and programs to the public using Voyager and ESRI Geoportal software products.
This presentation will cover the various types and scales of BLM data (e.g., state level data, landscape level data, national level data), where these data are published and discoverable, and how the Voyager and ESRI Geoportal publication nodes are tied together for a seamless user experience. We will also cover how these technologies are integrated with other interagency platforms and metadata catalogs. Lastly, we will discuss the road ahead for maintaining a data presence on the web with increasingly changing technology and the opportunities that these changes in technology provide.
Citing a number of uses cases, Kamran Khan, CEO of Search Technologies, presented a keynote address at the KMWorld 2016 conference in Washington, DC about the evolution of search and big data.
Using Joomla, Zoo & SOLR to power Asia's Largest Auction HouseParth Lawate
This presentation is a walk through of our adventures in integrating various aspects on Joomla, 3PD extensions & SOLR.
The highlight in this presentation is the use of Apache SOLR to create a responsive, filtered, sortable, searchable 'image grid' with continuous pagination. This behaves a lot like Google's image search where you can keep on scrolling to get more results.
When We Spark and When We Don’t: Developing Data and ML PipelinesStitch Fix Algorithms
The data platform at Stitch Fix runs thousands of jobs a day to feed data products that provide algorithmic capabilities to power nearly all aspects of the business, from merchandising to operations to styling recommendations. Many of these jobs are distributed across Spark clusters, while many others are scheduled as isolated single-node tasks in containers running Python, R, or Scala. Pipelines are often comprised of a mix of task types and containers.
This talk will cover thoughts and guidelines on how we develop, schedule, and maintain these pipelines at Stitch Fix. We’ll discuss guidelines on how we think about which portions of the pipelines we develop to run on what platforms (e.g. what is important to run distributed across Spark clusters vs run in stand-alone containers) and how we get them to play well together. We’ll also provide an overview of tools and abstractions that have been developed at Stitch Fix to facilitate the process from development, to deployment, to monitoring them in production.
A digital object does not have any meaning to a human being unless the content is described with descriptive, structural and technical (or administrative) metadata. The costs of producing maintaining and transforming metadata have been prohibitive, and cataloguing traditionally often required substantial time spent in repetitive tasks of duplication, which increased the risk of introducing errors. Programmatic, XMLbased metadata and XML metadata tools have promised those maintaining digital databases and datastores of metadata better ways of creating, updating, managing, and transforming metadata.
Islandora aims to simplify the process of creating, updating, and indexing XMLbased metadata for storage in a Fedora repository. This presentation provides an update on metadata related tools in Islandora, particularly in Islandora 7 (compatible with Drupal 7). In this most recent version, descriptive metadata forms based on any XML schema can be created and edited using the Form Builder; technical metadata can automatically extracted from objects on ingest using FITS; and administrative metadata emerging from ingest processes using microservices can be written to Fedora’s native “AUDIT” datastream. Islandora builds on the value and features of core Fedora, including the ability to version datastreams, and review versions in the interface.
Hydra - Content Processing Framework for Search Driven SolutionsFindwise
Presented at Lucene Revolution, 7-8 May in Boston and Berlin Buzzwords 4-5 June, 2012.
When working with free text search, the quality of the data in the index is a key factor on the quality of the results delivered and has a major impact on the information consumption experience. Hydra is designed to give the search solution the tools necessary to modify the data that is to be indexed in an efficient and flexible way. Providing a scalable and efficient pipeline which the documents pass through before being indexed into the search engine does this.
What is Connected Data as a concept? Who is interested in Connected Data? What problems does Connected Data solve? What skills are used in Connected Data?
Connected Data as of July 2017 has been running for over a year with very successful conference and 9 meetups held to date on a range of topics. These have included Knowledge Representation, Semantics, Linked Data, Graph Databases, Ontology development and use cases and industry verticals including recommendations, telecoms and finance. Yet the group has never had a particularly formal terms of reference or description defining what Connected Data actually means. Some would say this is something of a irony for a group so focused on semantics, schemas, definitions & structure!
This is an attempt (with some humour and something of journey included in it) to achieve something resembling a definition and terms of reference for the group.
Kasabi, an online data market based on linked data principles, offers data publishers an easy way to publish, link and monetise data, while giving developers of data-centric applications access to this data in different formats and through a number of different interfaces.
Overview of NoSQL. History, why all this happened. Main types are covered with their specific attributes, suitable use cases, data models and some notes when not to use them. Polyglot persistence is covered and Cap theorem.
How to use NoSQL in Enterprise Java Applications - NoSQL Roadshow ZurichPatrick Baumgartner
Once you begin developing with NoSQL technologies you will quickly realize that accessing data stores or services often requires in-depth knowledge of proprietary APIs that are typically not designed for use in enterprise Java applications. Sooner or later you might find yourself wanting to write an abstraction layer to encapsulate those APIs and simplify your application code. Luckily such an abstraction layer already exits: Spring Data.
Citing a number of uses cases, Kamran Khan, CEO of Search Technologies, presented a keynote address at the KMWorld 2016 conference in Washington, DC about the evolution of search and big data.
Using Joomla, Zoo & SOLR to power Asia's Largest Auction HouseParth Lawate
This presentation is a walk through of our adventures in integrating various aspects on Joomla, 3PD extensions & SOLR.
The highlight in this presentation is the use of Apache SOLR to create a responsive, filtered, sortable, searchable 'image grid' with continuous pagination. This behaves a lot like Google's image search where you can keep on scrolling to get more results.
When We Spark and When We Don’t: Developing Data and ML PipelinesStitch Fix Algorithms
The data platform at Stitch Fix runs thousands of jobs a day to feed data products that provide algorithmic capabilities to power nearly all aspects of the business, from merchandising to operations to styling recommendations. Many of these jobs are distributed across Spark clusters, while many others are scheduled as isolated single-node tasks in containers running Python, R, or Scala. Pipelines are often comprised of a mix of task types and containers.
This talk will cover thoughts and guidelines on how we develop, schedule, and maintain these pipelines at Stitch Fix. We’ll discuss guidelines on how we think about which portions of the pipelines we develop to run on what platforms (e.g. what is important to run distributed across Spark clusters vs run in stand-alone containers) and how we get them to play well together. We’ll also provide an overview of tools and abstractions that have been developed at Stitch Fix to facilitate the process from development, to deployment, to monitoring them in production.
A digital object does not have any meaning to a human being unless the content is described with descriptive, structural and technical (or administrative) metadata. The costs of producing maintaining and transforming metadata have been prohibitive, and cataloguing traditionally often required substantial time spent in repetitive tasks of duplication, which increased the risk of introducing errors. Programmatic, XMLbased metadata and XML metadata tools have promised those maintaining digital databases and datastores of metadata better ways of creating, updating, managing, and transforming metadata.
Islandora aims to simplify the process of creating, updating, and indexing XMLbased metadata for storage in a Fedora repository. This presentation provides an update on metadata related tools in Islandora, particularly in Islandora 7 (compatible with Drupal 7). In this most recent version, descriptive metadata forms based on any XML schema can be created and edited using the Form Builder; technical metadata can automatically extracted from objects on ingest using FITS; and administrative metadata emerging from ingest processes using microservices can be written to Fedora’s native “AUDIT” datastream. Islandora builds on the value and features of core Fedora, including the ability to version datastreams, and review versions in the interface.
Hydra - Content Processing Framework for Search Driven SolutionsFindwise
Presented at Lucene Revolution, 7-8 May in Boston and Berlin Buzzwords 4-5 June, 2012.
When working with free text search, the quality of the data in the index is a key factor on the quality of the results delivered and has a major impact on the information consumption experience. Hydra is designed to give the search solution the tools necessary to modify the data that is to be indexed in an efficient and flexible way. Providing a scalable and efficient pipeline which the documents pass through before being indexed into the search engine does this.
What is Connected Data as a concept? Who is interested in Connected Data? What problems does Connected Data solve? What skills are used in Connected Data?
Connected Data as of July 2017 has been running for over a year with very successful conference and 9 meetups held to date on a range of topics. These have included Knowledge Representation, Semantics, Linked Data, Graph Databases, Ontology development and use cases and industry verticals including recommendations, telecoms and finance. Yet the group has never had a particularly formal terms of reference or description defining what Connected Data actually means. Some would say this is something of a irony for a group so focused on semantics, schemas, definitions & structure!
This is an attempt (with some humour and something of journey included in it) to achieve something resembling a definition and terms of reference for the group.
Kasabi, an online data market based on linked data principles, offers data publishers an easy way to publish, link and monetise data, while giving developers of data-centric applications access to this data in different formats and through a number of different interfaces.
Overview of NoSQL. History, why all this happened. Main types are covered with their specific attributes, suitable use cases, data models and some notes when not to use them. Polyglot persistence is covered and Cap theorem.
How to use NoSQL in Enterprise Java Applications - NoSQL Roadshow ZurichPatrick Baumgartner
Once you begin developing with NoSQL technologies you will quickly realize that accessing data stores or services often requires in-depth knowledge of proprietary APIs that are typically not designed for use in enterprise Java applications. Sooner or later you might find yourself wanting to write an abstraction layer to encapsulate those APIs and simplify your application code. Luckily such an abstraction layer already exits: Spring Data.
Si necesitan ver la presentación en prezi lo pueden encontrar en la siguiente dirección: http://prezi.com/arap8ws2c_vp/?utm_campaign=share&utm_medium=copy&rc=ex0share
An introduction to Search Engine Optimization and different techniques applicable. The presentation also goes into the history of web, and how things changed from time to time.
Search Engine Optimization is one of the top-rated skills in the market. Multinational Organizations hire SEO specialists for their website improvement.
Because no matter how good your business is or how good your website is If you are not able to reach the audience then it is all useless.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
2. Easy to understand (?)
• Stores information of the web
• Classify information and rank them
• Bring us with the most relevant content
related keywords
3. Hard to do it (!)
• Billions of Web Pages
• Billions of Gigabytes data
• Every milisecond millions of new data
• Characteristic differences with languages (
localization )
• Requires huge amount of investment
• Respond query less them 1 second
4. Google Data Centers
• 11 Data centers in the world
• Each data center consist of 10.000 Computers
• Last data center cost 600 Million U.S Dollar