This webinar covered Neo4j 1.9.1, 2.0 features and hands-on demonstrations. Key highlights included:
- Neo4j 1.9.1 improvements to high availability, operations and Cypher performance.
- Neo4j 2.0 introduces node labels for improved querying and indexing, transactional Cypher via REST, and a focus on using Cypher everywhere.
- Hands-on sessions demonstrated migrating data to use labels, indexing, transactional HTTP endpoint, and other new 2.0 features.
Apache Ambari is an open-source platform for provisioning, managing, and monitoring Hadoop clusters. It provides a single pane of glass for deploying Hadoop clusters, including features for lifecycle management, security, alerting, and visualization of metrics. Ambari 2.4 includes new services, role-based access control, management packs, Grafana integration, and other improvements to simplify Hadoop operations.
This document provides an overview of SolrCloud on Hadoop. It discusses how SolrCloud allows for distributed, highly scalable search capabilities on Hadoop clusters. Key components that work with SolrCloud are also summarized, including HDFS for storage, MapReduce for processing, and ZooKeeper for coordination services. The document demonstrates how SolrCloud can index and query large datasets stored in Hadoop.
How to JavaOne 2016 - Generate Customized Java 8 Code from Your Database [TUT...Malin Weiss
The best code is the one you never need to write. Using code generation and automated builds, you can minimize the risk of human error when developing software, but how do you maintain control over code when large parts of it are handed over to a machine? In this tutorial, you will learn how to use open source software to create and control code automation. You will see how you can generate a completely object-oriented domain model by automatically analyzing your database schemas. Every aspect of the process is transparent and configurable, giving you, as a developer, 100 percent control of the generated code. This will not only increase your productivity but also help you build safer, more maintainable Java applications and is a perfect solution for Microservices.
You have amazing content and you want to get it to your users as fast as possible. In today’s industry, milliseconds matter and slow websites will never keep up. You can use a CDN but they are expensive, make you dependent on a third party to deliver your content, and can be notoriously inflexible. Enter Varnish, a powerful, open-source caching reverse proxy that lives in your network and lets you take control of how your content is managed and delivered. We’ll discuss how to install and configure Varnish in front of a typical web application, how to handle sessions and security, and how you can customize Varnish to your unique needs. This session will teach you how Varnish can help you give your users a better experience while saving your company and clients money at the same time.
Spark zeppelin-cassandra at synchrotronDuyhai Doan
This document discusses using Spark, Cassandra, and Zeppelin for storing and aggregating metrics data from a particle accelerator project called HDB++. It provides an overview of the HDB++ project, how it previously used MySQL but now stores data in Cassandra. It describes the Spark jobs that are run to load metrics data from Cassandra and generate statistics that are written back to Cassandra. It also demonstrates visualizing the data using Zeppelin and discusses some tricks and traps to be aware of when using this stack.
Scaling Through Partitioning and Shard Splitting in Solr 4thelabdude
Over the past several months, Solr has reached a critical milestone of being able to elastically scale-out to handle indexes reaching into the hundreds of millions of documents. At Dachis Group, we've scaled our largest Solr 4 index to nearly 900M documents and growing. As our index grows, so does our need to manage this growth.
In practice, it's common for indexes to continue to grow as organizations acquire new data. Over time, even the best designed Solr cluster will reach a point where individual shards are too large to maintain query performance. In this Webinar, you'll learn about new features in Solr to help manage large-scale clusters. Specifically, we'll cover data partitioning and shard splitting.
Partitioning helps you organize subsets of data based on data contained in your documents, such as a date or customer ID. We'll see how to use custom hashing to route documents to specific shards during indexing. Shard splitting allows you to split a large shard into 2 smaller shards to increase parallelism during query execution.
Attendees will come away from this presentation with a real-world use case that proves Solr 4 is elastically scalable, stable, and is production ready.
Solr Cloud allows Solr to be distributed and run across multiple servers for increased performance, scalability, availability, and elasticity. It uses Zookeeper for coordination and shares an index across multiple cores and collections. Documents are routed and replicated to shards and replicas based on a hashing function or custom routing rules to partition the data. Queries are distributed and results merged to provide scalable search across an elastic, fault-tolerant cluster.
1. Apache Ambari is an open-source platform for provisioning, managing and monitoring Hadoop clusters.
2. New features in Ambari 2.4 include additional services, role-based access control, management packs and a Grafana UI for visualizing metrics.
3. Ambari simplifies cluster operations through deploying clusters via blueprints, automated Kerberos integration, host discovery and stack advisors. It also supports upgrading clusters with either rolling or express upgrades.
Johnny Miller – Cassandra + Spark = Awesome- NoSQL matters Barcelona 2014NoSQLmatters
Johnny Miller – Cassandra + Spark = Awesome
This talk will discuss how Cassandra and Spark can work together to deliver real-time analytics. This is a technical discussion that will introduce the attendees to the basic principals on Cassandra and Spark, why they work well together and examples usecases.
Python and Oracle : allies for best of data managementLaurent Leturgez
In this presentation, I described Python and how Python can Interact with Oracle database, and Oracle Cloud Infrastructure in various project : from data visualisation to data science.
Cross Datacenter Replication aka CDCR has been a long requested feature in Apache Solr. In this talk, we will discuss CDCR as released in Apache Solr 6.0 and beyond to understand its use-cases, limitations, setup and performance. We will also take a quick look at the future enhancements that can further simplify and scale this feature.
This document discusses data encryption in Hadoop. It describes two common cases for encrypting data: using a Crypto API to encrypt/decrypt with an AES key stored in a keystore, and encrypting MapReduce outputs using a CryptoContext. It also covers the Hadoop Encryption Framework APIs, HBase encryption via HBASE-7544, and related JIRAs around Hive and Pig encryption. Key management tools like keytool and potential future improvements like Knox gateway integration are also mentioned.
This document provides an introduction to Apache Solr, including:
- Solr is an open-source search engine and REST API built on Lucene for indexing and searching documents.
- Solr architecture includes nodes, cores, schemas, and concepts like SolrCloud which uses Zookeeper for coordination across collections and shards.
- Documents are indexed, queried, updated, and deleted via the REST API or client libraries. Queries support various types including range, date, boolean, and proximity queries.
- Installation and configuration of standalone Solr involves downloading, extracting, and running bin/solr scripts to start the server and create cores.
- Resources for learning more include tutorials, documentation, and integration options
We're talking about serious log crunching and intelligence gathering with Elastic, Logstash, and Kibana.
ELK is an end-to-end stack for gathering structured and unstructured data from servers. It delivers insights in real time using the Kibana dashboard giving unprecedented horizontal visibility. The visualization and search tools will make your day-to-day hunting a breeze.
During this brief walkthrough of the setup, configuration, and use of the toolset, we will show you how to find the trees from the forest in today's modern cloud environments and beyond.
Solr Exchange: Introduction to SolrCloudthelabdude
SolrCloud is a set of features in Apache Solr that enable elastic scaling of search indexes using sharding and replication. In this presentation, Tim Potter will provide an architectural overview of SolrCloud and highlight its most important features. Specifically, Tim covers topics such as: sharding, replication, ZooKeeper fundamentals, leaders/replicas, and failure/recovery scenarios. Any discussion of a complex distributed system would not be complete without a discussion of the CAP theorem. Mr. Potter will describe why Solr is considered a CP system and how that impacts the design of a search application.
TXLF: Chef- Software Defined Infrastructure Today & TomorrowMatt Ray
The open source configuration management and automation framework Chef is used to configure, deploy and manage infrastructure of every sort. In addition to managing Linux, Windows and many other operating systems; Chef may be used to manage network hardware and storage systems. This session will provide an overview of the concepts and capabilities of Chef and discuss upcoming projects and how they fit into the Chef ecosystem.
This document provides tips for troubleshooting common issues with Sqoop. It discusses how to effectively provide debugging information when seeking help, addresses specific problems with MySQL connections and importing to Hive, Oracle case-sensitive errors and export failures, and recommends best practices like using separate tables for import and export and specifying options correctly.
Embrace NoSQL and Eventual Consistency with RippleSean Cribbs
So, there's this "NoSQL" thing you may have heard of, and this related thing called "eventual consistency". Supposedly, they help you scale, but no one has ever explained why! Well, wonder no more! This talk will demystify NoSQL, eventual consistency, how they might help you scale, and -- most importantly -- why you should care.
We'll look closely at how Riak, a linearly-scalable, distributed and fault-tolerant NoSQL datastore, implements eventual consistency, and how you can harness it from Ruby via the slick Ripple client/ORM. When the talk is finished, you'll have the tools both to understand eventual consistency and to handle it like a pro inside your next Ruby application.
This document summarizes the key new features in Neo4j 2.0 including:
1) The introduction of node labels which allow nodes to have multiple labels to identify and categorize nodes and improve query performance.
2) Schema indexing which allows indexes to be created for labels based on a property for simple lookups.
3) The MERGE operation which combines MATCH and CREATE to either match existing graph data or create new data if no match is found.
4) Transactions now being mandatory for all database interactions to improve consistency and isolation.
5) Various Cypher query language changes and improvements focused on making queries easier to write and read.
NoSQL and SQL - Why Choose? Enjoy the best of both worlds with MySQLAndrew Morgan
Theres a lot of excitement around NoSQL Data Stores with the promise of simple access patterns, flexible schemas, scalability and High Availability. The downside comes in the form of losing ACID transactions, consistency, flexible queries and data integrity checks. What if you could have the best of both worlds? This session shows how MySQL Cluster provides simultaneous SQL and native NoSQL access to your data whether a simple key-value API (Memcached), REST, JavaScript, Java or C++. You will hear how the MySQL Cluster architecture delivers in-memory real-time performance, 99.999% availability, on-line maintenance and linear, horizontal scalability through transparent auto-sharding.
44CON 2014 - Pentesting NoSQL DB's Using NoSQL Exploitation Framework, Francis Alexander
The rise of NoSQL databases and their simplicity has made corporates as well as end users have started to move towards NoSQL,However is it safe?.Does NoSQL mean we will not have to worry about Injection attacks. Yes We Do. This paper concentrates on exploiting NoSQL DB’s especially with its reach towards Mongodb,Couchdb and Redis and automating it using the NoSQL Exploitation Framework.
This document discusses scaling applications and services. It recommends taking a vertical approach by breaking monolithic applications into microservices that communicate through APIs. The Swagger framework is presented as a way to document and test APIs. Swagger can generate client libraries and helps services scale by enabling asynchronous communication through websockets. Taking this vertical, microservices approach with Swagger improves scalability by allowing dedicated teams to own individual services and improves performance through asynchronous communication protocols.
The document discusses the reemergence of Datalog as a query language. Key points include:
- Datalog allows querying over relationships between entities, handling sparse and multi-valued data.
- Datalog has seen renewed interest with applications in declarative networking, security, and more. It offers recursion, implicit joins, and a simple yet powerful query syntax.
- Extensions like linear negation, aggregation, and inductive logic programming have expanded Datalog's capabilities while retaining its desirable properties like termination and declarativity.
Russell Smith is a consultant who works with MongoDB. MongoDB is a scalable, high-performance, open source, document-oriented database that stores JSON-like documents. It is schema-less, simple, reliable, and scalable. Popular companies that use MongoDB include Foursquare, Disney, and Craigslist. The basics of MongoDB include inserting documents, finding documents, updating documents, removing documents, and ensuring indexes.
Prometheus lightning talk (Devops Dublin March 2015)Brian Brazil
This document introduces Prometheus, an open-source monitoring system that allows instrumentation of everything including RPCs, interfaces, business logic, and logs. It provides client libraries that make instrumentation easy across many languages. The Prometheus server can handle over a million time series in one instance with no dependencies. It offers dashboards, expression queries, alerts and integrates with many systems. Time series have structured labels allowing flexible aggregation and complex math for rules and alerts. Prometheus costs less than $.001 per time series per month and is developed by SoundCloud, Boxever and Docker with an active community.
Complex hierarchical relationships between entities can only be mapped with difficulty in a relational database and demanding queries are usually quite slow.
Graph databases are optimized for exactly these kinds of relationships and can provide high-performance results even with huge amounts of data. Moreover, not only the entities that are stored in the database, have attributes, but also their relationships. Queries can look at entities as well as their relationships.
Get to know the basics of graph databases, using Neo4j as an example, and see how it is used C# projects.
What's New in Neo4j 2.0 - Andreas Kollegger @ GraphConnect Boston + Chicago 2013Neo4j
This document summarizes the key new features in Neo4j 2.0, including labels, schema indexing, the MERGE operation, and transactional Cypher. Labels allow nodes to be identified and queried by type. Schema indexing improves performance. MERGE combines matching and creating behavior. Transactions make Cypher requests more robust. The focus is on further developing Cypher as a graph query language.
Introducing Hibernate OGM: porting JPA applications to NoSQL, Sanne Grinovero...OpenBlend society
Hibernate OGM allows developers to use JPA to access NoSQL databases like Infinispan. It stores entities as tuples in the key-value store and uses Hibernate Search to index entities and support JP-QL queries. While still early, it aims to reuse familiar Hibernate concepts while taking advantage of NoSQL databases' flexibility, high availability, and scalability. It currently supports Infinispan but contributions are welcome to integrate other NoSQL databases.
Orchestrating Docker with Terraform and Consul by Mitchell Hashimoto Docker, Inc.
Terraform is a tool for building and safely iterating on infrastructure, while Consul provides service discovery, monitoring and orchestration. In this talk we discuss using Terraform and Consul together to build a Docker-based Service Oriented Architecture at scale. We use Consul to provide the runtime control plane for the datacenter, and Terraform is used to modify the underlying infrastructure to allow for elastic scalability.
Ruby on Rails is an open-source web application framework that uses the Model-View-Controller pattern. It uses Ruby as its programming language. Rails provides conventions for building database-backed web applications, including generating scaffolding for basic CRUD operations. The document demonstrates how to generate a Rails application, scaffold a Bookmarks model, add validations and associations to Categories, and integrate Ajax functionality. Rails emphasizes conventions over configuration for directory structure and default actions.
Ruby on Rails is an open-source web application framework that uses the Model-View-Controller pattern. It uses Ruby as its programming language. Rails provides conventions for building database-backed web applications, including scaffolding that automatically generates the basic structure and files needed for a model. Rails emphasizes conventions over configuration, including naming conventions and default directory structures. The document provides an overview of Rails and demonstrates how to generate a sample bookmarks application using Rails, including generating models, views, controllers, and associations between models.
Security regarding NoSQL Databases Still remain a question.Not much research done these databases,this paper concentrates on some of the major NoSQL databases and their flaws
This document discusses technologies for creating and maintaining web applications. It covers Ruby and the Rails framework. Ruby is designed to be programmer-focused rather than machine-focused, helping create dynamic and self-explained code. Rails enables quickly building web servers through conventions, reuse, single responsibility principles, and features that provide quick setup, deployment, and built-in scalability. The document also discusses front-end architecture with client-side logic, and Rails features for development, deployment, databases, assets, and multi-environment configuration.
Wordnik's architecture is built around a large English word graph database and uses microservices and ephemeral Amazon EC2 storage. Key aspects include:
1) The system is built as independent microservices that communicate via REST APIs documented using Swagger specifications.
2) Databases for each microservice are kept small by design to facilitate operations like backups, replication, and index rebuilding.
3) Services are deployed across multiple Availability Zones and regions on ephemeral Amazon EC2 storage for high availability despite individual host failures.
Devops core principles
CI/CD basics
CI/CD with asp.net core webapi and Angular app
Iac Why and What?
Demo using Azure and Azure Devops
Docker why and what ?
Demo using Azure and Azure Devops
Kubernetes why and what?
Demo using Azure and Azure Devops
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfNeo4j
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
Atelier - Architecture d’applications de Graphes - GraphSummit ParisNeo4j
Atelier - Architecture d’applications de Graphes
Participez à cet atelier pratique animé par des experts de Neo4j qui vous guideront pour découvrir l’intelligence contextuelle. En utilisant un jeu de données réel, nous construirons étape par étape une solution de graphes ; de la construction du modèle de données de graphes à l’exécution de requêtes et à la visualisation des données. L’approche sera applicable à de multiples cas d’usages et industries.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
SOPRA STERIA - GraphRAG : repousser les limitations du RAG via l’utilisation ...Neo4j
Romain CAMPOURCY – Architecte Solution, Sopra Steria
Patrick MEYER – Architecte IA Groupe, Sopra Steria
La Génération de Récupération Augmentée (RAG) permet la réponse à des questions d’utilisateur sur un domaine métier à l’aide de grands modèles de langage. Cette technique fonctionne correctement lorsque la documentation est simple mais trouve des limitations dès que les sources sont complexes. Au travers d’un projet que nous avons réalisé, nous vous présenterons l’approche GraphRAG, une nouvelle approche qui utilise une base Neo4j générée pour améliorer la compréhension des documents et la synthèse d’informations. Cette méthode surpasse l’approche RAG en fournissant des réponses plus holistiques et précises.
ADEO - Knowledge Graph pour le e-commerce, entre challenges et opportunités ...Neo4j
Charles Gouwy, Business Product Leader, Adeo Services (Groupe Leroy Merlin)
Alors que leur Knowledge Graph est déjà intégré sur l’ensemble des expériences d’achat de leur plateforme e-commerce depuis plus de 3 ans, nous verrons quelles sont les nouvelles opportunités et challenges qui s’ouvrent encore à eux grâce à leur utilisation d’une base de donnée de graphes et l’émergence de l’IA.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphAware - Transforming policing with graph-based intelligence analysisNeo4j
Petr Matuska, Sales & Sales Engineering Lead, GraphAware
Western Australia Police Force’s adoption of Neo4j and the GraphAware Hume graph analytics platform marks a significant advancement in data-driven policing. Facing the challenges of growing volumes of valuable data scattered in disconnected silos, the organisation successfully implemented Neo4j database and Hume, consolidating data from various sources into a dynamic knowledge graph. The result was a connected view of intelligence, making it easier for analysts to solve crime faster. The partnership between Neo4j and GraphAware in this project demonstrates the transformative impact of graph technology on law enforcement’s ability to leverage growing volumes of valuable data to prevent crime and protect communities.
GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product UpdatesNeo4j
David Pond, Lead Product Manager, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
In a shocking turn of events, renowned Bollywood actress Urvashi Rautela found herself at the center of an unwarranted privacy invasion. A private bathroom video of the actress surfaced online, leading to widespread outrage and discussions about the importance of privacy in the digital age. This incident highlights the ongoing struggle celebrities face in safeguarding their personal lives from public scrutiny.
Honoring and Understanding the Significance of Guru PurnimaExotic India
In the oldest beliefs, it is believed that the day marks the first transmission of the Yogic sciences from Lord Shiva (The Adi yogi or first yogi) to his disciples, the ‘Saptarishi
Steps to Register Company in Dubai Mainland.pptxblackswanbss
Discover the essential steps to register a company in Dubai Mainland. Learn about choosing business activities, legal structures, obtaining approvals, and securing a trade license to ensure a smooth setup process in Dubai.
An effective technical department at PMS is composed of a knowledgeable team of trained professionals who provide excellent design services as well as post-sale support. Due to the great quality of all of our products, they are all made to be very easy to construct and disassemble and are reasonably priced with appealing designs. We offer a wide range of products and services, such as designing and constructing distinctive floating pontoons.
Maximize Your AI Potential with These 15 ChatGPT-4o Prompts.pdfSOFTTECHHUB
Hey there! So, you've probably heard all the buzz about this new AI whiz kid on the block, ChatGPT-4o. It's like the cool new kid that everyone wants to hang out with - tech geeks, business folks, and artsy types are all lining up to see what it can do. But here's the thing: it's not just about how smart this AI is, it's about how clever we can be in using it.
Think of ChatGPT-4o as this super-smart friend who's read every book in the library and has a knack for quick comebacks. It's the result of a bunch of really smart people spending years tinkering with language and computers. But don't mistake it for just another chatbot - this AI can hold its own in a deep conversation, tackle tricky problems, and even come up with some pretty creative stuff. Sometimes, it's so good it makes you wonder if we're dealing with a machine or a really well-read human hiding behind a screen. Pretty wild, right?
Importance of effective prompts
Yet, for all its power, ChatGPT-4o is only as good as the prompts we feed it. Think of prompts as the keys to unlocking the AI's vast potential. The right prompt can open doors to insights you never knew existed, while a poorly crafted one might leave you knocking on wood. It's the difference between asking a master chef to "cook something" and providing them with a detailed recipe and premium ingredients.
Purpose of the article
This is where our journey begins. In the pages that follow, we'll embark on an exploration of the art and science of prompt engineering. We'll uncover the secrets of crafting prompts that can transform ChatGPT-4o from a mere tool into a powerful ally in your quest for knowledge, creativity, and innovation.
Whether you're a seasoned AI enthusiast or a curious newcomer, this article aims to equip you with the skills to maximize your AI potential. We'll dig into the intricacies of ChatGPT-4o, unravel the mysteries of effective prompt creation, and provide you with a treasure trove of 15 powerful prompts that can revolutionize the way you interact with AI.
Five Beautiful and Beneficial Gemstones.pptxburtmacklin768
Gemstones have fascinated humanity for centuries, not only for their breathtaking beauty but also for their purported benefits. These natural treasures, formed over millions of years, are more than just ornamental. They are believed to carry unique properties that can enhance various aspects of our lives, from emotional well-being to spiritual growth. In this presentation, we will explore five remarkable gemstones—Amethyst, Iolite, Ruby, Emerald, and Sapphire—each celebrated for its aesthetic appeal and beneficial attributes.
What final deadline for filing ITR online and offline, including penalties?SAG Infotech
Remember to keep in mind the final deadline for filing income tax returns, whether it is done online or offline. The Income Tax Return (ITR) serves as crucial documentation that validates the taxes an individual has paid. It provides a comprehensive overview of their annual income and the corresponding tax amount. It's mandatory for Indian citizens with taxable income to file an ITR annually. Filing an ITR enables individuals to claim refunds for any excess tax payments made. However, failing to file the ITR on time can lead to penalties and legal repercussions. Therefore, understanding the procedures for filing income tax returns, both online and offline, and being familiar with the associated due dates is vital. It's also important to have a good grasp of the potential penalties for late filing of ITR. https://www.youthkiawaaz.com/2019/04/how-to-file-income-tax-returns-online-offline-with-due-dates/
Solution manual for canadian income taxation 20222023 25th edition by william...stanslausnzuki569
Solution manual for canadian income taxation 20222023 25th edition by william buckwold joan kitunen matthew roman.pdf
Solution manual for canadian income taxation 20222023 25th edition by william buckwold joan kitunen matthew roman.pdf
The Fastest Way to Build Your Own App Without Code: ShipYourAppsFast!SOFTTECHHUB
Creating and selling your own software products can be a game-changer for online entrepreneurs. However, the barrier to entry has always been high, requiring either extensive coding knowledge or a significant investment in hiring developers. Enter ShipYourAppsFast, a revolutionary Windows software that aims to democratize app creation for internet marketers and content creators.
ShipYourAppsFast is designed to empower non-technical users to create their own applications without writing a single line of code. This tool focuses specifically on generating prompt-based apps that leverage the power of AI to assist content creators across various niches. The software promises to transform the way marketers approach product creation, offering a streamlined path from concept to launch.
As we dive deeper into this review, we'll explore how ShipYourAppsFast could potentially reshape your approach to product development and digital asset creation. Whether you're a seasoned marketer looking to expand your product line or a newcomer seeking to make your mark in the software space, this tool might just be the key to unlocking new possibilities.
Equinox Gold is a growth-focused gold producer with eight gold mines and a plan to be producing more than 1 Moz of gold per year within a few years by advancing a pipeline of development and expansion projects.
Newsweek CEO Dev Pragad's Leadership JourneyChristopher
Explore the remarkable journey of Newsweek CEO Dev Pragad, who transformed the iconic media brand into a digital powerhouse. This presentation covers Dev's early life, education, professional beginnings, strategic vision, and the significant milestones achieved under his leadership. Discover how strategic partnerships, digital innovation, and a strong leadership philosophy drove Newsweek’s growth, making it a case study in successful media turnaround. Ideal for business leaders, media professionals, and anyone interested in digital transformation and strategic leadership.
Unleashing the Potential of Local Appliance Repair Sydney.pdfappliancemaster82
Unlock the potential of local appliance repair in Sydney with our top-notch services. Trust our experienced technicians to keep your appliances running smoothly.
Discover the power of virtual paralegals! Learn how to streamline your legal practice with remote paralegal support. This Slideshare presentation explores the benefits, roles, and essential skills of virtual paralegals. Optimize your workflow and boost efficiency.
1911 Gold Corporation is located in the heart of the world-class Rice Lake gold district within the West Uchi greenstone belt. The Company holds a dominant land position with over 62,000 Hectares, an operating milling facility, an underground mine with one million ounces in mineral resources, and significant upside surface exploration potential.
Business Lessons From Emmanuel Katto UgandaOliviaCox14
Emmanuel Katto, a prominent businessman and former rally driver, has shared several key business lessons from his extensive career. His mantra, “always put in 110% effort,” underscores the importance of hard work and dedication in achieving success. He stresses the need for careful planning and strategic decision-making. Check out the PPT to know more.
5. High Availability & Operations
• new HA cluster management implementation (paxos) w/o ZK
• ZK compatibility layer for rolling upgrades from 1.8
• faster consistency check with new implementation
• new HA JMX information -> JConsole
• Arbiter instance for clusters < 3
• Slave only mode
• new endpoint for load balancers /db/manage/server/ha/{master,slave}
6. Hands-On High Availability
• Manual 1.8 vs. Manual 1.9
• Live
• 3 node cluster
• runs without zookeeper
• show that replication works
• show management endpoint and JMX
• show config
7. General
• Java 7 support
• Store-Locks to limit access of Readonly-Instances
• Online backup enabled by default, works with port-range
• Performance
• caching & property access improvements
• REST-Batch-Operations speedup
8. Server
• Traversal Javascript is sandboxed
• X-Forwarded-Host and X-Forwarded-Proto headers to support
running behind a proxy
• SSL certificate chain support
• REST-batch-operations performance improvements
• Gremlin plugin as separate project
• to allow different versions and decouple from neo4j release cycle
9. Cypher
• upgrade to scala 2.10
• concurrent parsing
• execution plan description
• fix non-lazyness
• faster pattern matcher (bi-directional traversal)
• top-n select for order by limit
10. Cypher
• predicates as expressions
• Functions: reduce, string functions
• order by, skip, limit with WITH
• automatic conversion
• SET can work with other nodes or maps
11. Hands-On Cypher
• profiling
• string functions, show reduce
• WITH with ORDER BY LIMIT
• SET with predicates, SET with other nodes
• FOREACH with CREATE UNIQUE
15. (0.x) --> (1.x) --> (2.x)
• 0.x was about embedded java
• 1.x introduced indexes, the server and REST
16. (0.x) --> (1.x) --> (2.x)
• 0.x was about embedded java
• 1.x introduced indexes, the server and REST
• 2.x ease of use, big data, cloud
17. (0.x) --> (1.x) --> (2.x)
• 0.x was about embedded java
• 1.x introduced indexes, the server and REST
• 2.x ease of use, big data, cloud
which means a focus on...
20. Focus on Cypher
• Cypher, a carefully crafted language for working with graphs
21. Focus on Cypher
• Cypher, a carefully crafted language for working with graphs
• Declarative, friendly, easy to read and write
22. Focus on Cypher
• Cypher, a carefully crafted language for working with graphs
• Declarative, friendly, easy to read and write
• One language, used everywhere
23. Focus on Cypher
• Cypher, a carefully crafted language for working with graphs
• Declarative, friendly, easy to read and write
• One language, used everywhere
• REST for management, Java for extensions,
27. • Simply: a label identifies a set of nodes
Introducing Node Labels
name: 'Soren'
28. • Simply: a label identifies a set of nodes
Introducing Node Labels
name: 'Soren'
Dane
29. • Simply: a label identifies a set of nodes
• Nodes can have multiple labels
Introducing Node Labels
name: 'Soren'
Dane
30. • Simply: a label identifies a set of nodes
• Nodes can have multiple labels
Introducing Node Labels
name: 'Soren'
Negated Dane
31. • Simply: a label identifies a set of nodes
• Nodes can have multiple labels
Introducing Node Labels
name: 'Soren'
Negated
name: 'Soren'
img:
Dane
32. • Simply: a label identifies a set of nodes
• Nodes can have multiple labels
• Find nodes by label
Introducing Node Labels
name: 'Soren'
Negated
name: 'Soren'
img:
Dane
33. • Simply: a label identifies a set of nodes
• Nodes can have multiple labels
• Find nodes by label
• Constrain properties and values
(lightweight, optional schema)
Introducing Node Labels
name: 'Soren'
Negated
name: 'Soren'
img:
Dane
34. • Simply: a label identifies a set of nodes
• Nodes can have multiple labels
• Find nodes by label
• Constrain properties and values
(lightweight, optional schema)
• A simple idea, with powerful applications
Introducing Node Labels
name: 'Soren'
Negated
name: 'Soren'
img:
Dane
35. Find friends who like cheese
MATCH (max:People)-[:FRIENDS]->(cheesy: People),
(cheesy)-[:LIKE]->(cheese:Things)
WHERE max.name = "Max De Marzi"
AND cheese.name = "Cheese"
RETURN cheesy;
36. Schema Indexing
• Indexes for labels, based on a property
• Simple lookups for now
• Unique indexing coming soon
• Full-text, other special indexes in planning
CREATE INDEX ON :People(name)
37. MERGE operation
• a combination of MATCH + CREATE
• replaces CREATE UNIQUE
• attempts to MATCH, with specified properties and labels
• if match fails, new graph data is created
• optional sub-clauses for handling ON CREATE, and ON MATCH
MERGE (charlie { name:'Charlie Sheen', age:10 })
ON CREATE charlie SET charlie.created = timestamp()
RETURN charlie
40. • begin, commit, or rollback a transaction
• transaction as RESTful resource
Transactional Cypher
41. • begin, commit, or rollback a transaction
• transaction as RESTful resource
• issue multiple statements per request
Transactional Cypher
42. • begin, commit, or rollback a transaction
• transaction as RESTful resource
• issue multiple statements per request
• multiple requests per transaction
Transactional Cypher
43. • begin, commit, or rollback a transaction
• transaction as RESTful resource
• issue multiple statements per request
• multiple requests per transaction
• compact response format
Transactional Cypher
44. • begin, commit, or rollback a transaction
• transaction as RESTful resource
• issue multiple statements per request
• multiple requests per transaction
• compact response format
Transactional Cypher
48. Anything else?
• Performance improvements
• Breaking changes to some APIs (read CHANGES.txt)
• Migration of "legacy" indexes (stop STARTing)
49. Anything else?
• Performance improvements
• Breaking changes to some APIs (read CHANGES.txt)
• Migration of "legacy" indexes (stop STARTing)
• Mandatory transactions for all DB interactions
50. Anything else?
• Performance improvements
• Breaking changes to some APIs (read CHANGES.txt)
• Migration of "legacy" indexes (stop STARTing)
• Mandatory transactions for all DB interactions
• Improving installers (in progress)
51. Anything else?
• Performance improvements
• Breaking changes to some APIs (read CHANGES.txt)
• Migration of "legacy" indexes (stop STARTing)
• Mandatory transactions for all DB interactions
• Improving installers (in progress)
• Changing everything to be "all Cypher, all the time"
56. Labels - rules of thumb
• Use a label to make queries easier to read & write
57. Labels - rules of thumb
• Use a label to make queries easier to read & write
• And to improve performance through indexing
58. Labels - rules of thumb
• Use a label to make queries easier to read & write
• And to improve performance through indexing
59. Labels - rules of thumb
• Use a label to make queries easier to read & write
• And to improve performance through indexing
• Start with anything you might've put in a legacy index
60. Labels - rules of thumb
• Use a label to make queries easier to read & write
• And to improve performance through indexing
• Start with anything you might've put in a legacy index
• Use lightly, as few labels as needed
61. Hands-On Cypher
• Migrate Cineasts dataset to use Labels
• Show MATCH on Labels and Properties (+ profile)
• Add an Index on :Person(name) :Movie(title)
• Show MATCH on Labels and Properties (+ profile)
• Show MERGE
62. Hands-On 2.0
• Show Transactional HTTP-Endpoint
• POST initial statements, look at result, check currently running tx in
server-info
• POST another create statement to the tx
• POST a new read statement to a new tx that shows isolation
• DELETE second transaction
• POST to COMMIT resource
65. Googlehttp://localhost:7474/
Neo4j
LoadTransactions
Neo4j
2.0.0
Active Queries 12Master
/var/neo4j/webui.graphdb Active Queries 12
MATCH (n)-[:FRIEND]->(friends) WHERE n.name = 'Andreas'Create a blank node
CREATE (n);
Clear all
MATCH (n)-[r?]->(m)
DELETE n,r,m;
ad-hoc query
Relate People
MATCH (from),(to) WHERE
n.name = {from}
AND to.name = {to}
CREATE (from)-[:FRIEND]-
>(to);
Delia
Andreas
m
People
CREATE (n);
Andreas
Name
Metaphysical
Mood
Delia Excited
Friends by name
CREATE (n);
Andreas
From
Delia
To
Delia Tiberius
Mood survey
CREATE (n);
Andreas
Name
Metaphysical
Mood
Delia Excited
MATCH (n) RETURN n
People Books ClassicsAuthors
CREATE (me:People {name:'Andreas'})
67. What is new in 2.0?
• It's all about Cypher, starting with
• Labels, the first significant change in over 12 years
• Mix in schema indexing
• Then transactional REST, new clauses, functions
• A fresh Web UI that is Cypher-focused