Learn how Lucene runs more than just search indexes, how to build a proper search engine, and how to decide between SolR , Elasticsearch, Amazon CloudSearch or Azure Search.
Search Engines use web search queries to collect information and present it to the user. How do you go about building a search engine in the first place?
Building Enterprise Search Engines using Open Source TechnologiesRahul Singh
Enterprise Search is a challenging problem for most organizations. Public search technologies such as Google can index content and use link popularity to rank content in addition to the basic keyword matches. Enterprise Search is different. Sometimes it requires specially designed indexes as well as several processing steps.
At the U.S. Patent & Trademark Office, part of the Department of Commerce, a team of professionals is building the next generation of search tools using open source technologies. Like any large undertaking, it’s not a simple plug and play project.
Main topics to be covered in this talk:
+ Architectures for Large Scale Enterprise Search
+ Leveraging Apache Cassandra & Spark
+ Customizing / Configuring Apache SolR and Indexing
+ Writing a custom Parser for SolR in Scala
We adopted a serverless architecture to build a real-time analytics solution for tracking website usage. This involved using AWS Lambda functions triggered by events in Amazon Kinesis streams to index data from API requests in Amazon Elasticsearch. The serverless approach allowed us to focus on solving business problems rather than managing infrastructure, and provided built-in monitoring, auto-scaling, and pay-per-use billing. While some services like API Gateway could become expensive at high volumes, we optimized costs by batching requests and retrieving data in batches from Kinesis. The resulting solution met our goals of speed, cost-effectiveness, and reduced maintenance.
Cache solutions that can be used when developing applications have been examined. Redis, MemCache, JCache, and Hazelcast comparisons were made.
Performance, Security, Storage Capability and Eviction Policy, Maintenance, Reliability, Cost and also Who's using what.
This document discusses and compares single page applications (SPAs) and multi-page applications (MPAs). It notes that SPAs load faster, run faster, and work offline as only the content is loaded via AJAX/JSON while the main page remains the same. Popular SPA frameworks mentioned include AngularJS, ReactJS, ExtJS, KnockoutJS, and EmberJS. While SPAs provide advantages for speed, development, and debugging, disadvantages include issues with search engine optimization, back button functionality, and testing. The document emphasizes that neither approach is a one-size-fits-all solution and developers should decide what best fits their needs based on considering advantages and disadvantages. It also stresses the importance of
Site reliability in the serverless age - Serverless Boston MeetupErik Peterson
Just what is this serverless thing anyway and what does it mean for building reliable systems? To answer this, lets explore SRE & DevOps principals and map them to their serverless counterparts and along the way make a few predictions about our serverless future
Making sense of Microsoft Identities in a Hybrid worldJason Himmelstein
The New World of Identity Management. Are you struggling to making heads or tails of the identity options for hybrid Office 365, Azure & on-prem installations? Does the seemingly ever-changing landscape give you hives just thinking about the security implications? What are the recommended topologies & how in the world would you get started?
This document provides an overview of AWS IoT and related services. It discusses how AWS IoT allows devices to communicate with the cloud and each other, enabling applications like remote monitoring and fleet management. It also describes some common use cases for AWS IoT including smart home applications and industrial IoT. Finally, it gives a high-level overview of key AWS services involved in AWS IoT architectures like DynamoDB, Lambda, and SQS.
Search Engines use web search queries to collect information and present it to the user. How do you go about building a search engine in the first place?
Building Enterprise Search Engines using Open Source TechnologiesRahul Singh
Enterprise Search is a challenging problem for most organizations. Public search technologies such as Google can index content and use link popularity to rank content in addition to the basic keyword matches. Enterprise Search is different. Sometimes it requires specially designed indexes as well as several processing steps.
At the U.S. Patent & Trademark Office, part of the Department of Commerce, a team of professionals is building the next generation of search tools using open source technologies. Like any large undertaking, it’s not a simple plug and play project.
Main topics to be covered in this talk:
+ Architectures for Large Scale Enterprise Search
+ Leveraging Apache Cassandra & Spark
+ Customizing / Configuring Apache SolR and Indexing
+ Writing a custom Parser for SolR in Scala
We adopted a serverless architecture to build a real-time analytics solution for tracking website usage. This involved using AWS Lambda functions triggered by events in Amazon Kinesis streams to index data from API requests in Amazon Elasticsearch. The serverless approach allowed us to focus on solving business problems rather than managing infrastructure, and provided built-in monitoring, auto-scaling, and pay-per-use billing. While some services like API Gateway could become expensive at high volumes, we optimized costs by batching requests and retrieving data in batches from Kinesis. The resulting solution met our goals of speed, cost-effectiveness, and reduced maintenance.
Cache solutions that can be used when developing applications have been examined. Redis, MemCache, JCache, and Hazelcast comparisons were made.
Performance, Security, Storage Capability and Eviction Policy, Maintenance, Reliability, Cost and also Who's using what.
This document discusses and compares single page applications (SPAs) and multi-page applications (MPAs). It notes that SPAs load faster, run faster, and work offline as only the content is loaded via AJAX/JSON while the main page remains the same. Popular SPA frameworks mentioned include AngularJS, ReactJS, ExtJS, KnockoutJS, and EmberJS. While SPAs provide advantages for speed, development, and debugging, disadvantages include issues with search engine optimization, back button functionality, and testing. The document emphasizes that neither approach is a one-size-fits-all solution and developers should decide what best fits their needs based on considering advantages and disadvantages. It also stresses the importance of
Site reliability in the serverless age - Serverless Boston MeetupErik Peterson
Just what is this serverless thing anyway and what does it mean for building reliable systems? To answer this, lets explore SRE & DevOps principals and map them to their serverless counterparts and along the way make a few predictions about our serverless future
Making sense of Microsoft Identities in a Hybrid worldJason Himmelstein
The New World of Identity Management. Are you struggling to making heads or tails of the identity options for hybrid Office 365, Azure & on-prem installations? Does the seemingly ever-changing landscape give you hives just thinking about the security implications? What are the recommended topologies & how in the world would you get started?
This document provides an overview of AWS IoT and related services. It discusses how AWS IoT allows devices to communicate with the cloud and each other, enabling applications like remote monitoring and fleet management. It also describes some common use cases for AWS IoT including smart home applications and industrial IoT. Finally, it gives a high-level overview of key AWS services involved in AWS IoT architectures like DynamoDB, Lambda, and SQS.
WKS404 7 Things You Must Know to Build Better Alexa SkillsAmazon Web Services
1. When building Alexa skills, focus on designing for the auditory experience of users by making the skill easy to invoke with memorable phrases, reading text out loud, and using the simulator to test how utterances are interpreted.
2. Leverage the Alexa skill builder for its built-in intents, slots, dialog management, and required slot functionality.
3. Be mindful of the variety and amount of training data used, as too much data is not necessarily better than a moderate amount with variety.
This document provides an introduction and overview of AWS Lambda. It discusses how Lambda allows executing code without provisioning or managing servers by uploading code and configuring triggers. Code can be written in Node.js, Java, or Python and executed in response to events from AWS services or API calls. Metrics and logs of Lambda function invocations are automatically sent to CloudWatch for monitoring. An example of using Lambda for thumbnail image creation in response to S3 uploads is also provided.
An introductory tutorial for the web framework Angular with companion demo github repository; and a step by step github tutorial repository. Presented at Northwestern WildHacks May 17, 2017
Web application frameworks (WAFs) provide a standard structure for building dynamic websites and web applications using the model-view-controller (MVC) pattern. A typical WAF includes features like asset management, security helpers, scaffolding tools, internationalization support, templating engines, routing and URL mapping, database access abstraction, and caching. Popular WAFs include Ruby on Rails, Django, Laravel, and Spring. WAFs handle common tasks like routing requests to controllers and fetching data from models to display in views.
Flynn Bundy - 60 micro-services in 6 months WinOps Conf
In this talk, I want to take the audience on a journey of how we (Coolblue) migrated 60 .Net micro-services to the AWS Cloud. This talk covers the high’s, low’s and everything in between when working in a multi-disciplinary Developer / Operations Cloud team. This talk will cover the evolution of our processes and toolsets to align with Chaos Engineering best practices. Most importantly, I want to highlight how we changed the way we thought about services and servers in general.
The key takeaways from this talk would be related to:
Continous Inspection (TeamCity)
Continous Deployment (Octopus Deploy)
Infrastructure as Code (Cloudformation)
Chaos Engineering (Chaos Monkey)
Monitoring and Logging (Datadog and Splunk)
.Net and .Net Core (on Windows Server 2016)
Automation in AWS Cloud
The document discusses a presentation by Radu Vunvulea about using Azure Cosmos DB to improve various solutions. It begins with an introduction and then provides an overview of what Azure Cosmos DB is, including its key features like global distribution, support for multiple data models, elastic scaling, choice of consistency levels, and latency and availability guarantees. The presentation then demonstrates how Azure Cosmos DB can be used to improve the performance and scalability of command management, command tracking, payload metadata storage, payload assignment, device topology storage, and payload delivery status aspects of a transport platform solution compared to previous implementations that used multiple Azure data services. It concludes by thanking the audience.
Microfrontends: The good, the bad, and the uglyVanessa Böhner
This document discusses micro frontends, including:
1) Micro frontends allow large monolithic applications to be split into independent, autonomous teams that each work on their own section of the frontend.
2) There are various ways to implement micro frontends including using iframes, JavaScript bundles, or web components. Frameworks like Project Mosaic and Single SPA can also help.
3) Potential pitfalls to avoid include memory leaks from improper event bus usage, misconfiguration between development and production environments, and not being scaled for the approach when first implementing it.
Amazon Web Services is the modern web developers toolbox. Join John Dalziel for a tour of web application architectures, from LAMP through to Serverless. I'll be taking the classic LAMP architecture and evolving it on AWS, one service at a time. We'll discuss the shared responsibility model and find out how to combine AWS services to build more robust applications.
Your searchbox doesn’t need to be hidden in a corner. Put it in focus and allow people to quickly go where they can find the information they need. In this talk you learn how Neos allows you to offer autocompletion, suggestions and direct navigation to results while entering a searchterm.
This talk shows you all the building blocks to integrate a powerful search with Neos.
How to build a static website in two and a half days with Nuxt and Tailwind CSSVanessa Böhner
The document discusses building a static website in two and a half days using Nuxt and Tailwind CSS. Nuxt allows building static sites with Vue components, and Tailwind CSS is a utility-first CSS framework. The author had no experience with either but was able to create responsive pages for a podcast site that met requirements. Key features of Nuxt include pre-rendering, layouts, and assets handling. Tailwind CSS provides utilities for layout, typography, backgrounds and more. PurgeCSS was used to remove unused CSS and reduce file sizes.
Dead-Simple Deployment: Headache-Free Java Web Applications in the CloudCraig Dickson
I presented this at JavaOne 2011 on October 6th. It discusses some of the problems related to environment provisioning that enterprise Java developers face and how the new Platform-as-a-Service (PaaS) product from Amazon Web Services called Elastic Beanstalk can solve some of those problems.
Wearables are hot these days. One might say it is a true revolution. We at APEX R&D are entering that wearables revolution as well, through Oracle Application Express. During this presentation, learn about the APEX R&D project and features of the research, including the Apple Watch. Wouldn't it be great to facilitate the work that people do in such a manner that they could do more other important things?
The document provides best practices and recommendations for securing resources in AWS. It advises that users should:
1) Grant least privilege to IAM roles and policies, use private subnets, and avoid public buckets or open security groups.
2) Rely on managed AWS services instead of maintaining resources like databases on EC2 instances directly.
3) Implement infrastructure as code and immutable infrastructure to ensure consistency and reliability of deployments.
4) Keep application state in services like ElastiCache instead of on individual instances to ensure high availability.
5) Leverage AWS services, documentation, and community resources to continuously improve security practices.
This document discusses Docker containers on AWS. It notes that enterprises are adopting containers to accelerate software development, build modern applications, and automate operations at scale. It provides examples of typical use cases for containers like microservices, CI/CD, batch processing, and legacy application migration. It outlines AWS container services like ECS, EKS, and ECR. It describes how ECS works with container definitions, task definitions, task roles, service definitions, and hosting containers on EC2 or Fargate. It provides an example of hosting an ML model on Fargate with images stored in ECR.
The document discusses microservices and how streaming data is important for microservices. It describes what microservices are and why they are used. It then explains some of the challenges with microservices as systems grow in complexity, such as services overloading or causing distributed deadlocks. The document proposes using an event-driven data-centric approach with event sourcing, CQRS and streaming to help address these challenges by loosely coupling services and handling failures better.
True story of re architecting website for scale on windows azureSergejus Barinovas
The document discusses how a Lithuanian startup re-architected their website on Windows Azure to address scaling issues as their traffic grew from 20,000 to potential spikes of 50 page views per second, including moving content to blob storage, splitting the database and hosting across multiple VMs, and leveraging other Azure services like caching. It describes the scaling issues encountered at various traffic levels and how the site was restructured on Azure with different computing, data, and networking services to allow for flexibility and scalability.
Intro to SharePoint 2010 development for .NET developersJohn Ferringer
While its very true that SharePoint’s development model is firmly rooted in the .NET development world, at the same time SharePoint can be appear to be a completely alien beast to even the most experienced of .NET developers. In this session, John will introduce the fundamental practices that a .NET developer should understand about SharePoint and needs to follow when building custom solutions for the platform, whether its creating web parts or building complex workflows and Line of Business applications for deployment within a SharePoint farm.
This document discusses real-time web applications and the Firebase backend as a service platform. It provides an overview of Firebase's features such as real-time data syncing, offline support, and integrations with frameworks like Backbone, Angular, and React. The document also includes code examples of initializing a Firebase reference, updating and reacting to real-time data changes, and using Backbone models and collections that sync to Firebase. It highlights challenges like denormalizing data and security considerations.
This document provides an introduction to creating dynamic web content using Microsoft's Internet Information Services (IIS) and Active Server Pages (ASP). It defines key terminology like IIS and ASP. It explains the difference between static and dynamic content, advantages of dynamic content, and competing technologies like PHP and ColdFusion. It outlines important ASP functions and subsystems, and provides simple examples of ASP code to generate HTML tables and print "Hello World".
Lucene is an open-source search library that powers search capabilities for many consumer and enterprise applications. It allows applications to index, search, and retrieve documents from various sources and formats. The document discusses how Lucene is used in search scenarios like document retrieval and routing. It provides examples of consumer-facing sites and enterprise applications that use Lucene, including Google, Facebook, LinkedIn, Apple, Cisco, Goldman Sachs, and more. The document also outlines Lucene's capabilities to aggregate, extract, analyze, and index data and knowledge for enterprise search platforms.
Anyone who has tried integrating search in their application knows how good and powerful Solr is but always wished it was simpler to get started and simpler to take it to production.
I will talk about the recent features added to Solr making it easier for users and some of the changes we plan on adding soon to make the experience even better.
WKS404 7 Things You Must Know to Build Better Alexa SkillsAmazon Web Services
1. When building Alexa skills, focus on designing for the auditory experience of users by making the skill easy to invoke with memorable phrases, reading text out loud, and using the simulator to test how utterances are interpreted.
2. Leverage the Alexa skill builder for its built-in intents, slots, dialog management, and required slot functionality.
3. Be mindful of the variety and amount of training data used, as too much data is not necessarily better than a moderate amount with variety.
This document provides an introduction and overview of AWS Lambda. It discusses how Lambda allows executing code without provisioning or managing servers by uploading code and configuring triggers. Code can be written in Node.js, Java, or Python and executed in response to events from AWS services or API calls. Metrics and logs of Lambda function invocations are automatically sent to CloudWatch for monitoring. An example of using Lambda for thumbnail image creation in response to S3 uploads is also provided.
An introductory tutorial for the web framework Angular with companion demo github repository; and a step by step github tutorial repository. Presented at Northwestern WildHacks May 17, 2017
Web application frameworks (WAFs) provide a standard structure for building dynamic websites and web applications using the model-view-controller (MVC) pattern. A typical WAF includes features like asset management, security helpers, scaffolding tools, internationalization support, templating engines, routing and URL mapping, database access abstraction, and caching. Popular WAFs include Ruby on Rails, Django, Laravel, and Spring. WAFs handle common tasks like routing requests to controllers and fetching data from models to display in views.
Flynn Bundy - 60 micro-services in 6 months WinOps Conf
In this talk, I want to take the audience on a journey of how we (Coolblue) migrated 60 .Net micro-services to the AWS Cloud. This talk covers the high’s, low’s and everything in between when working in a multi-disciplinary Developer / Operations Cloud team. This talk will cover the evolution of our processes and toolsets to align with Chaos Engineering best practices. Most importantly, I want to highlight how we changed the way we thought about services and servers in general.
The key takeaways from this talk would be related to:
Continous Inspection (TeamCity)
Continous Deployment (Octopus Deploy)
Infrastructure as Code (Cloudformation)
Chaos Engineering (Chaos Monkey)
Monitoring and Logging (Datadog and Splunk)
.Net and .Net Core (on Windows Server 2016)
Automation in AWS Cloud
The document discusses a presentation by Radu Vunvulea about using Azure Cosmos DB to improve various solutions. It begins with an introduction and then provides an overview of what Azure Cosmos DB is, including its key features like global distribution, support for multiple data models, elastic scaling, choice of consistency levels, and latency and availability guarantees. The presentation then demonstrates how Azure Cosmos DB can be used to improve the performance and scalability of command management, command tracking, payload metadata storage, payload assignment, device topology storage, and payload delivery status aspects of a transport platform solution compared to previous implementations that used multiple Azure data services. It concludes by thanking the audience.
Microfrontends: The good, the bad, and the uglyVanessa Böhner
This document discusses micro frontends, including:
1) Micro frontends allow large monolithic applications to be split into independent, autonomous teams that each work on their own section of the frontend.
2) There are various ways to implement micro frontends including using iframes, JavaScript bundles, or web components. Frameworks like Project Mosaic and Single SPA can also help.
3) Potential pitfalls to avoid include memory leaks from improper event bus usage, misconfiguration between development and production environments, and not being scaled for the approach when first implementing it.
Amazon Web Services is the modern web developers toolbox. Join John Dalziel for a tour of web application architectures, from LAMP through to Serverless. I'll be taking the classic LAMP architecture and evolving it on AWS, one service at a time. We'll discuss the shared responsibility model and find out how to combine AWS services to build more robust applications.
Your searchbox doesn’t need to be hidden in a corner. Put it in focus and allow people to quickly go where they can find the information they need. In this talk you learn how Neos allows you to offer autocompletion, suggestions and direct navigation to results while entering a searchterm.
This talk shows you all the building blocks to integrate a powerful search with Neos.
How to build a static website in two and a half days with Nuxt and Tailwind CSSVanessa Böhner
The document discusses building a static website in two and a half days using Nuxt and Tailwind CSS. Nuxt allows building static sites with Vue components, and Tailwind CSS is a utility-first CSS framework. The author had no experience with either but was able to create responsive pages for a podcast site that met requirements. Key features of Nuxt include pre-rendering, layouts, and assets handling. Tailwind CSS provides utilities for layout, typography, backgrounds and more. PurgeCSS was used to remove unused CSS and reduce file sizes.
Dead-Simple Deployment: Headache-Free Java Web Applications in the CloudCraig Dickson
I presented this at JavaOne 2011 on October 6th. It discusses some of the problems related to environment provisioning that enterprise Java developers face and how the new Platform-as-a-Service (PaaS) product from Amazon Web Services called Elastic Beanstalk can solve some of those problems.
Wearables are hot these days. One might say it is a true revolution. We at APEX R&D are entering that wearables revolution as well, through Oracle Application Express. During this presentation, learn about the APEX R&D project and features of the research, including the Apple Watch. Wouldn't it be great to facilitate the work that people do in such a manner that they could do more other important things?
The document provides best practices and recommendations for securing resources in AWS. It advises that users should:
1) Grant least privilege to IAM roles and policies, use private subnets, and avoid public buckets or open security groups.
2) Rely on managed AWS services instead of maintaining resources like databases on EC2 instances directly.
3) Implement infrastructure as code and immutable infrastructure to ensure consistency and reliability of deployments.
4) Keep application state in services like ElastiCache instead of on individual instances to ensure high availability.
5) Leverage AWS services, documentation, and community resources to continuously improve security practices.
This document discusses Docker containers on AWS. It notes that enterprises are adopting containers to accelerate software development, build modern applications, and automate operations at scale. It provides examples of typical use cases for containers like microservices, CI/CD, batch processing, and legacy application migration. It outlines AWS container services like ECS, EKS, and ECR. It describes how ECS works with container definitions, task definitions, task roles, service definitions, and hosting containers on EC2 or Fargate. It provides an example of hosting an ML model on Fargate with images stored in ECR.
The document discusses microservices and how streaming data is important for microservices. It describes what microservices are and why they are used. It then explains some of the challenges with microservices as systems grow in complexity, such as services overloading or causing distributed deadlocks. The document proposes using an event-driven data-centric approach with event sourcing, CQRS and streaming to help address these challenges by loosely coupling services and handling failures better.
True story of re architecting website for scale on windows azureSergejus Barinovas
The document discusses how a Lithuanian startup re-architected their website on Windows Azure to address scaling issues as their traffic grew from 20,000 to potential spikes of 50 page views per second, including moving content to blob storage, splitting the database and hosting across multiple VMs, and leveraging other Azure services like caching. It describes the scaling issues encountered at various traffic levels and how the site was restructured on Azure with different computing, data, and networking services to allow for flexibility and scalability.
Intro to SharePoint 2010 development for .NET developersJohn Ferringer
While its very true that SharePoint’s development model is firmly rooted in the .NET development world, at the same time SharePoint can be appear to be a completely alien beast to even the most experienced of .NET developers. In this session, John will introduce the fundamental practices that a .NET developer should understand about SharePoint and needs to follow when building custom solutions for the platform, whether its creating web parts or building complex workflows and Line of Business applications for deployment within a SharePoint farm.
This document discusses real-time web applications and the Firebase backend as a service platform. It provides an overview of Firebase's features such as real-time data syncing, offline support, and integrations with frameworks like Backbone, Angular, and React. The document also includes code examples of initializing a Firebase reference, updating and reacting to real-time data changes, and using Backbone models and collections that sync to Firebase. It highlights challenges like denormalizing data and security considerations.
This document provides an introduction to creating dynamic web content using Microsoft's Internet Information Services (IIS) and Active Server Pages (ASP). It defines key terminology like IIS and ASP. It explains the difference between static and dynamic content, advantages of dynamic content, and competing technologies like PHP and ColdFusion. It outlines important ASP functions and subsystems, and provides simple examples of ASP code to generate HTML tables and print "Hello World".
Lucene is an open-source search library that powers search capabilities for many consumer and enterprise applications. It allows applications to index, search, and retrieve documents from various sources and formats. The document discusses how Lucene is used in search scenarios like document retrieval and routing. It provides examples of consumer-facing sites and enterprise applications that use Lucene, including Google, Facebook, LinkedIn, Apple, Cisco, Goldman Sachs, and more. The document also outlines Lucene's capabilities to aggregate, extract, analyze, and index data and knowledge for enterprise search platforms.
Anyone who has tried integrating search in their application knows how good and powerful Solr is but always wished it was simpler to get started and simpler to take it to production.
I will talk about the recent features added to Solr making it easier for users and some of the changes we plan on adding soon to make the experience even better.
We will introduce key concepts for a data lake and present aspects related to its implementation. Also discussing critical success factors, pitfalls to avoid operational aspects, and insights on how AWS enables a server-less data lake architecture.
Speaker: Sebastien Menant, Solutions Architect, Amazon Web Services
10 Things Learned Releasing Databricks Enterprise WideDatabricks
Implementing tools, let alone an entire Unified Data Platform, like Databricks, can be quite the undertaking. Implementing a tool which you have not yet learned all the ins and outs of can be even more frustrating. Have you ever wished that you could take some of that uncertainty away? Four years ago, Western Governors University (WGU) took on the task of rewriting all of our ETL pipelines in Scala/Python, as well as migrating our Enterprise Data Warehouse into Delta, all on the Databricks platform. Starting with 4 users and rapidly growing to over 120 users across 8 business units, our Databricks environment turned into an entire unified platform, being used by individuals of all skill levels, data requirements, and internal security requirements.
Through this process, our team has had the chance and opportunity to learn while making a lot of mistakes. Taking a look back at those mistakes, there are a lot of things we wish we had known before opening the platform to our enterprise.
We would like to share with you 10 things we wish we had known before WGU started operating in our Databricks environment. Covering topics surrounding user management from both an AWS and Databricks perspective, understanding and managing costs, creating custom pipelines for efficient code management, learning about new Apache Spark snippets that helped save us a fortune, and more. We would like to provide our recommendations on how one can overcome these pitfalls to help new, current and prospective users to make their environments easier, safer, and more reliable to work in.
Episerver Find is an event-driven search engine built on top of Elasticsearch that is well-suited for Episerver projects. It separates commands and queries using CQRS, with Episerver handling simple queries and Elasticsearch handling more complex queries for improved performance. Choosing the right tools like Episerver for content management, Elasticsearch for search, and a customizable cloud platform allows building a scalable solution for projects of any size.
Does your website have a ton of data? How do your users find the relevant pages among all the noise in your site?
Solr can help deliver the pertinent search results to your users regardless of your site's size.
Apache Solr is a Java program that integrates with the Drupal contrib module that allows your users to quickly search millions of records and narrow down the results with minimal system impact.
AWS Summit Auckland - Building a Server-less Data Lake on AWSAmazon Web Services
This document discusses building a serverless data lake on AWS. It defines a data lake as providing massive storage for any type of data with enormous processing power. The key components of a data lake are storage and ingestion using Amazon S3 and Kinesis, a metadata catalog using DynamoDB and Elasticsearch, security using IAM and KMS, and an API/UI using Lambda and API Gateway. The document provides recommendations for implementing each component and demonstrates how to build a metadata index in Elasticsearch from S3 data using Lambda and DynamoDB. It concludes by discussing next steps like AWS training and certification.
Storage options for Analytics are not one size fits all. To deliver the best solution, you need to understand the use case, performance requirements, and users of the system. This session will break down the options you have in Azure to build a data analytics ecosystem, and explain why everyone's talking about data lakes and where's best to build your data warehouse.
Today organizations find themselves in a data rich world with a growing need for increased agility and accessibility of all this data for analysis and deriving keen insights to drive strategic decisions. Creating a data lake helps you to manage all the disparate sources of data you are collecting, in its original format and extract value. In this session learn how to architect and implement an Analytics Data Lake. Hear customer examples of best practices and learn from their architectural blueprints.
This document summarizes key learnings from a presentation about SharePoint 2013 and Enterprise Search. It discusses how to run a successful search project through planning, development, testing and deployment. It also covers infrastructure needs and capacity testing findings. Additionally, it provides examples of how to customize the user experience through display templates and Front search. Methods for crawling thousands of file shares and enriching indexed content are presented. The document concludes with discussions on relevancy, managing property weighting, changing ranking models, and tuning search results.
This document discusses managing storage across public and private resources. It covers the evolution of on-site storage management, storage options in the public cloud, and challenges of managing hybrid cloud storage. Key topics include the transition from siloed storage to software-defined storage, various cloud storage services like object storage and block storage, challenges of public cloud limitations, and solutions for connecting on-site and cloud storage like gateways, file systems, and caching appliances.
AWS Summit 2014 Melbourne - Breakout 5
Cloud computing gives you a number of advantages, such as being able to scale your application on demand. As a new business looking to use the cloud, you inevitably ask yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We will show you how to best combine different AWS services, make smarter decisions for architecting your application, and best practices for scaling your infrastructure in the cloud.
Presenter: Craig Dickson, Solutions Architect, Amazon Web Services
Emerging technologies in academic libraries. A department by department overview. Data visualization, online reference, nextGen library platforms, open source software, digital asset and archive management systems, digital humanities, scientific and creative software, new physical spaces for libraries.
Building A Self Service Analytics Platform on HadoopCraig Warman
These slides were presented by Avinash Ramineni of Clairvoyant to the Atlanta Apache Spark User Group on Wednesday, March 22, 2017: https://www.meetup.com/Atlanta-Apache-Spark-User-Group/events/238109721/
Session #2, tech session: Build realtime search by Sylvain Utard from AlgoliaSaaS Is Beautiful
This document provides an overview of building a real-time search engine. It discusses how search engines work by indexing documents to build an inverted index optimized for queries. When a query is received, the inverted index is used to quickly match and rank relevant documents. The document then describes moving from a mobile SDK to a hosted search as a service (SaaS) and the technical considerations for scaling the SaaS such as architecture, security, and operations.
SharePoint Databases: What you need to know (201609)Alan Eardley
Presented at SharePoint Saturday Cambridge (2016)
An introduction to the different databases that SharePoint uses, with recommendations for High Availability, Disaster Recovery and configuration settings for SQL Server, including the constraints imposed in a single farm, a stretched farm between data centres and a separate DR farm.
(BDT307) Zero Infrastructure, Real-Time Data Collection, and AnalyticsAmazon Web Services
This document summarizes a presentation given by Steve Abraham and Brian Filppu on collecting and analyzing large amounts of real-time data with zero infrastructure using AWS services. It discusses using Amazon API Gateway to ingest data, Amazon Kinesis to collect and store data, AWS Lambda to process data in real-time, and Amazon Redshift and Aurora for analytics and querying. It also provides a case study of how Zillow uses this architecture to collect and analyze mobile app metrics.
J1 T1 3 - Azure Data Lake store & analytics 101 - Kenneth M. NielsenMS Cloud Summit
This document provides an overview and demonstration of Azure Data Lake Store and Azure Data Lake Analytics. The presenter discusses how Azure Data Lake can store and analyze large amounts of data in its native format. Key capabilities of Azure Data Lake Store like unlimited storage, security features, and support for any data type are highlighted. Azure Data Lake Analytics is presented as an elastic analytics service built on Apache YARN that can process large amounts of data. The U-SQL language for big data analytics is demonstrated, along with using Visual Studio and PowerShell for interacting with Azure Data Lake. The presentation concludes with a question and answer section.
The document describes a presentation on Amazon Athena, a serverless interactive query service that allows users to analyze data directly from Amazon S3 using standard SQL. The presentation will introduce Athena and demonstrate how it can be used to query data in S3 without having to load it into a database first. It will also discuss how Athena uses Presto and the Glue Data Catalog under the hood and show some customer use cases for log analysis, ETL workflows, and analytics reporting using Athena with other AWS services.
Similar to Building Search Engines - Lucene, SolR and Elasticsearch (20)
QLoRA Fine-Tuning on Cassandra Link Data Set (1/2) Cassandra Lunch 137Anant Corporation
Discussion of LLM fine-tuning with an overview of fine-tuning types and datasets: specifically we will talk about the method that we used to turn an existing collection of Cassandra information into a set of instructions and responses that we can use for fine tuning.
What's AGI? How is it different from an Agent or an AI Assistant? If you're looking to understand how AI Agents/AGI can help your company, check this out.
Data Engineer's Lunch 96: Intro to Real Time Analytics Using Apache PinotAnant Corporation
In this meetup, we will introduce the concepts of Real Time Analytics, why it is important, the evolution of Analytics, and how companies such as LinkedIn, Stripe, Uber and more are using Real Time analytics to grow their audience and improve usability by using Apache Pinot. What is Apache Pinot? Followed by Demo and Q&A.
NoCode, Data & AI LLM Inside Bootcamp: Episode 6 - Design Patterns: Retrieval...Anant Corporation
Series: Using AI / ChatGPT at Work - GPT Automation
Are you a small business owner or web developer interested in leveraging the power of GPT (Generative Pretrained Transformer) technology to enhance your business processes? If so, Join us for a series of events focused on using GPT in business. Whether you're a small business owner or a web developer, you'll learn how to leverage GPT to improve your workflow and provide better services to your customers.
GPT Automation: What it is and How it Works
How Time-Saving GPT Automation Can Improve Your Business
Cost-Effective GPT Automation: How it Can Save Your Business Money
Using GPT Automation for Customer Service: Benefits and Best Practices
The Power of GPT Automation for Content Creation
Data Analysis Made Easy with GPT Automation
Top GPT-3 Automation Tools for Businesses
The Ethical Considerations of GPT Automation
Overcoming Bias in GPT Automation: Best Practices
The Future of GPT Automation: Trends and Predictions
Since we focus on "no code" here, we'll explore the tools that are already out there such as ChatGPT plugins for Chrome, OpenAI GPT API, low-code/no-code platforms like Make/Integromat and Zapier, existing apps like Jasper/Rytr, and ecosystem tools like Everyprompt. We'll also discuss the resources available for those interested in learning more about GPT, including other people’s prompts.
Automate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPTAnant Corporation
This document provides an agenda for a full-day bootcamp on large language models (LLMs) like GPT-3. The bootcamp will cover fundamentals of machine learning and neural networks, the transformer architecture, how LLMs work, and popular LLMs beyond ChatGPT. The agenda includes sessions on LLM strategy and theory, design patterns for LLMs, no-code/code stacks for LLMs, and building a custom chatbot with an LLM and your own data.
In Apache Cassandra Lunch #131: YugabyteDB Developer Tools, we discussed third party developer tools that are compatible with YugabyteDB. We talked about using Yugabyte Developer Tools for data visualization and schema management. The live recording of Cassandra Lunch, which includes a more in-depth discussion and a demo, is embedded below in case you were not able to attend live. If you would like to attend Apache Cassandra Lunch live, it is hosted every Wednesday at 12 PM EST.
Developer tools play a critical role in simplifying and streamlining database development and management. They allow developers and administrators to be more productive, reducing the time and effort required to create and maintain database schemas, write SQL queries, test database performance, and enable collaboration. Developer tools also make it possible to track changes over time, improving the ability to manage the entire development lifecycle.
Episode 2: The LLM / GPT / AI Prompt / Data Engineer RoadmapAnant Corporation
In this episode we'll discuss the different flavors of prompt engineering in the LLM/GPT space. According to your skill level you should be able to pick up at any of the following:
Leveling up with GPT
1: Use ChatGPT / GPT Powered Apps
2: Become a Prompt Engineer on ChatGPT/GPT
3: Use GPT API with NoCode Automation, App Builders
4: Create Workflows to Automate Tasks with NoCode
5: Use GPT API with Code, make your own APIs
6: Create Workflows to Automate Tasks with Code
7: Use GPT API with your Data / a Framework
8: Use GPT API with your Data / a Framework to Make your own APIs
9: Create Workflows to Automate Tasks with your Data /a Framework
10: Use Another LLM API other than GPT (Cohere, HuggingFace)
11: Use open source LLM models on your computer
12: Finetune / Build your own models
Series: Using AI / ChatGPT at Work - GPT Automation
Are you a small business owner or web developer interested in leveraging the power of GPT (Generative Pretrained Transformer) technology to enhance your business processes?
If so, Join us for a series of events focused on using GPT in business. Whether you're a small business owner or a web developer, you'll learn how to leverage GPT to improve your workflow and provide better services to your customers.
In Data Engineer’s Lunch #89: Machine Learning Orchestration with Airflow, we discussed using Apache Airflow to manage and schedule machine learning tasks. By following the best practices of ML Ops, teams can streamline their ML workflows and build scalable, efficient, and accurate models that deliver real-world business value. Properly implemented ML Ops can help organizations stay ahead of the curve and achieve their goals in the fast-paced world of machine learning. Apache Airflow is an open-source tool for scheduling and automating workflows. Airflow allows you to define workflows in Python, with tasks defined as Python functions that can include Operators for all sorts of external tools. This makes it easy to automate repeated processes and define dependencies between tasks, creating directed-acyclic-graphs of tasks that can be scheduled using cron syntax or frequency tasks. Airflow also features a user-friendly UI for monitoring task progress and viewing logs, giving you greater control over your data pipeline.
Cassandra Lunch 130: Recap of Cassandra Forward TalksAnant Corporation
If you didn't attend, you don't want to miss a much shorter synopsis of what was covered and get some thoughts from us as to why they are important. We'll talk about the main topics of the event.
1. ACID transactions on Cassandra by Aaron Ploetz, Datastax
2. Apache Flink with Apache Cassandra at Satyajit Thadeswar, Netflix
3. Durable Execution built on Apache Cassandra by Loren Sands-Ramshaw, Temporal
4. Switching from Mongo to Cassandra with Mongoose & new Stargate JSON API, Valeri Karpov
5. Cloud Native and Realtime AI/ML with Patrick Mcfadin and Davor Boncaci, Datastax
Data Engineer's Lunch 90: Migrating SQL Data with ArcionAnant Corporation
In Data Engineer's Lunch 90, Eric Ramseur teaches our audience how to use Arcion.
From best practices to real-world examples, this talk will provide you with the knowledge and insights you need to ensure a successful migration of your SQL data. So whether you're new to data migration or looking to improve your existing process, join us and discover how Arcion can help you achieve your goals.
Data Engineer's Lunch 89: Machine Learning Orchestration with AirflowMachine ...Anant Corporation
In Data Engineer's Lunch 89, Obioma Anomnachi will discuss how to manage and schedule Machine Learning operations via Airflow. Learn how you can write complete end-to-end pipelines starting with retrieving raw data to serving ML predictions to end-users, entirely in Airflow.
Data Engineer's Lunch #86: Building Real-Time Applications at Scale: A Case S...Anant Corporation
As the demand for real-time data processing continues to grow, so too do the challenges associated with building production-ready applications that can handle large volumes of data and handle it quickly. In this talk, we will explore common problems faced when building real-time applications at scale, with a focus on a specific use case: detecting and responding to cyclist crashes. Using telemetry data collected from a fitness app, we’ll demonstrate how we used a combination of Apache Kafka and Python-based microservices running on Kubernetes to build a pipeline for processing and analyzing this data in real-time. We'll also discuss how we used machine learning techniques to build a model for detecting collisions and how we implemented notifications to alert family members of a crash. Our ultimate goal is to help you navigate the challenges that come with building data-intensive, real-time applications that use ML models. By showcasing a real-world example, we aim to provide practical solutions and insights that you can apply to your own projects.
Key takeaways:
An understanding of the common challenges faced when building real-time applications at scale
Strategies for using Apache Kafka and Python-based microservices to process and analyze data in real-time
Tips for implementing machine learning models in a real-time application
Best practices for responding to and handling critical events in a real-time application
Data Engineer's Lunch #85: Designing a Modern Data StackAnant Corporation
What are the design considerations that go into architecting a modern data warehouse? This presentation will cover some of the requirements analysis, design decisions, and execution challenges of building a modern data lake/data warehouse.
In Apache Cassandra Lunch #121: Migrating to Azure Managed Instance for Apache Cassandra, we discussed different methods for migrating data from existing Cassandra instances to Azure hosted options.
Data Engineer's Lunch #83: Strategies for Migration to Apache IcebergAnant Corporation
In this talk, Dremio Developer Advocate, Alex Merced, discusses strategies for migrating your existing data over to Apache Iceberg. He'll go over the following:
How to Migrate Hive, Delta Lake, JSON, and CSV sources to Apache Iceberg
Pros and Cons of an In-place or Shadow Migration
Migrating between Apache Iceberg catalogs Hive/Glue -- Arctic/Nessie
Apache Cassandra Lunch 120: Apache Cassandra Monitoring Made Easy with AxonOpsAnant Corporation
In this lunch, Johnny will show us how easy it is to start monitoring your Cassandra cluster in minutes. He will explain the various aspects and features of Cassandra that need to be monitored, how to do it, and most importantly why! Approaches for backups and Cassandra repairs will be discussed and explored in detail.
Learn how AxonOps significantly reduces the complexity and overhead when looking after Cassandra and ensures your Cassandra cluster is reliable and resilient.
Experienced developer, DevOps, architect, and AxonOps co-founder, Johnny Miller, has worked with a wide variety of companies – from small start-ups to large enterprises. He has been working with Cassandra for many years and has a deep understanding of the challenges facing modern companies looking to adopt Apache Cassandra.
In Apache Cassandra Lunch #119, Rahul Singh will cover a refresher on GUI desktop/web tools for users that want to get their hands dirty with Cassandra but don't want to deal with CQLSH to do simple queries. Some of the tools are web-based and others are installed on your desktop. Since the beginning days of Cassandra, a lot has changed and there are many options for command-line-haters to use Cassandra.
Data Engineer's Lunch #82: Automating Apache Cassandra Operations with Apache...Anant Corporation
This document discusses automating Apache Cassandra operations using Apache Airflow. It recommends using Airflow to schedule and automate workflows for ETL, data hygiene, import/export, and more. It provides an overview of using Apache Spark jobs within Airflow DAGs to perform tasks like data cleaning, deduplication, and migrations for Cassandra. The document includes demos of using Airflow and Spark with Cassandra on DataStax Astra and discusses considerations for implementing this solution.
Understanding User Behavior with Google Analytics.pdfSEO Article Boost
Unlocking the full potential of Google Analytics is crucial for understanding and optimizing your website’s performance. This guide dives deep into the essential aspects of Google Analytics, from analyzing traffic sources to understanding user demographics and tracking user engagement.
Traffic Sources Analysis:
Discover where your website traffic originates. By examining the Acquisition section, you can identify whether visitors come from organic search, paid campaigns, direct visits, social media, or referral links. This knowledge helps in refining marketing strategies and optimizing resource allocation.
User Demographics Insights:
Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
Tracking User Engagement:
Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
Conversion Rate Optimization:
Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
Custom Reports and Dashboards:
Create custom reports and dashboards to visualize and interpret data relevant to your business goals. Use advanced filters, segments, and visualization options to gain deeper insights. Incorporate custom dimensions and metrics for tailored data analysis. Integrate external data sources to enrich your analytics and make well-informed decisions.
This guide is designed to help you harness the power of Google Analytics for making data-driven decisions that enhance website performance and achieve your digital marketing objectives. Whether you are looking to improve SEO, refine your social media strategy, or boost conversion rates, understanding and utilizing Google Analytics is essential for your success.
Instagram has become one of the most popular social media platforms, allowing people to share photos, videos, and stories with their followers. Sometimes, though, you might want to view someone's story without them knowing.
Ready to Unlock the Power of Blockchain!Toptal Tech
Imagine a world where data flows freely, yet remains secure. A world where trust is built into the fabric of every transaction. This is the promise of blockchain, a revolutionary technology poised to reshape our digital landscape.
Toptal Tech is at the forefront of this innovation, connecting you with the brightest minds in blockchain development. Together, we can unlock the potential of this transformative technology, building a future of transparency, security, and endless possibilities.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
Discover the benefits of outsourcing SEO to Indiadavidjhones387
"Discover the benefits of outsourcing SEO to India! From cost-effective services and expert professionals to round-the-clock work advantages, learn how your business can achieve digital success with Indian SEO solutions.
Gen Z and the marketplaces - let's translate their needsLaura Szabó
The product workshop focused on exploring the requirements of Generation Z in relation to marketplace dynamics. We delved into their specific needs, examined the specifics in their shopping preferences, and analyzed their preferred methods for accessing information and making purchases within a marketplace. Through the study of real-life cases , we tried to gain valuable insights into enhancing the marketplace experience for Generation Z.
The workshop was held on the DMA Conference in Vienna June 2024.
7. Lucene – More than meets the eye
Who
Next?
Think of it like a “NoSQL” Database that has great indexing..
everywhere.
8. Search Engine – 30 Thousand Foot View
The search index is only as good as your processed data.
If you put everything you find in your index, you are going to
spend a lot of time telling people how to search.
9. On Premise – Lucene / ES / SolR
Lucene
• Library
• File System
• Format
• Fast
• Embeddable*
• Indexing Anywhere
• Need to really know
Lucene
• No Interface
• No server
• Lots of house
keeping
SolR
• Server
• Admin / REST
Interface
• Configurable
• Scalable
• Great at Text*
• Truly Open
• 10+ Years
• Good ecosystem
• Too customizable
• Schemas*
• Zookeeper Needed
ElasticSearch
• Server
• Configurable
• Scalable
• Good ecosystem
• Built in Clustering
• Grouping / Filtering
• Great for Logs
• Started as a Cloud
Tool
• No great OTS
Interface
• Only REST Interface
10. Cloud Search – Amazon / Azure
Amazon
• SolRCloud*
• AWS* Ecosystem
• 5 QParsers
• Dynamic Fields
• 100% Completely
Managed
• Been Around for a
While
• Data / Read Writes
• No nested Objects
Azure
• ElasticSearch*
• Azure* Ecosystem
• 2 QParsers
• 100% Completely
Managed
• Good SDK
• Few Years Old
• Data / Read Writes
• No nested Objects
• Not so Dynamic Fields
11. Questions & Contact
www.anant.us | solutions@anant.us | 202.905.2818
1010 Wisconsin Ave, NW | Suite 250 | Washington, DC 20007
@anantcorp
facebook.com/anantCorp
linkedin.com/company/anant
rahul@anant.us
linkedin.com/in/xingh
Rahul Singh
CEO & Founder
Questions & Contact
• Modern Enterprise
• Mastering Services in the Service of Others
• Hybrid Agile Project Management
• Building Search Engines
• CICD / DevOps
• Connecting Internet Software
12. www.anant.us | solutions@anant.us | 202.905.2818
1010 Wisconsin Ave, NW | Suite 250 | Washington, DC 20007
Streamlined Data
Integration / Data Pipelines
Organized Knowledge
Search / Data Warehouses
Unified Interfaces
Portals / Dashboards / Mobile