Découvrez des fonctionnalités stratégiques de la Suite Elastic, notamment Elasticsearch, un moteur de données incomparable, et Kibana, véritable fenêtre ouverte sur la Suite Elastic.
Dans cette session, vous apprendrez à :
injecter des données dans la Suite Elastic ;
stocker des données ;
analyser des données ;
exploiter des données.
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En la sesión hablaremos sobre:
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Almacenamiento de datos
Análisis de los datos
Actuar en función de los datos
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Descubre las áreas de características estratégicas de Elastic Stack: Elasticsearch, un motor de datos inigualable y Kibana, la ventana que da acceso a Elastic Stack.
En la sesión hablaremos sobre:
Cómo incorporar datos a Elastic Stack
Almacenamiento de datos
Análisis de los datos
Actuar en función de los datos
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Learn about the latest innovations for managing data storage costs while balancing performance with Elasticsearch. See how to use new visualization and alerting capabilities to turn data insights into decisive action.
Eze Castle Integration is a managed service provider (MSP), cloud service provider (CSP), and internet service provider (ISP) that delivers services to more than 1,000 clients around the world. Different departments within Eze Castle have devised their own log aggregation solutions in order to provide visibility, meet regulatory compliance requirements, conduct cybersecurity investigations, and help engineers with troubleshooting infrastructure issues. In 2019, they partnered with Elastic to consolidate the data generated from different systems into a single pane of glass. And thanks to the ease of deployment on Elastic Cloud, professional consultation services from Elastic engineers, and on-demand training courses available on Elastic Learning, Eze Castle was able to go from proof-of-concept to a fully functioning ""Eze Managed SIEM"" product within a month!
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Découvrez des fonctionnalités stratégiques de la Suite Elastic, notamment Elasticsearch, un moteur de données incomparable, et Kibana, véritable fenêtre ouverte sur la Suite Elastic.
Dans cette session, vous apprendrez à :
injecter des données dans la Suite Elastic ;
stocker des données ;
analyser des données ;
exploiter des données.
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Learn about the strategic feature areas of the Elastic Stack—Elasticsearch, a data engine like no other, and Kibana, the window into the Elastic Stack.
The session will cover:
Bringing data into the Elastic Stack
Storing data
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Acting on data
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Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
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When even basic threats can be multi-staged and complex, limited visibility into your security data just doesn’t cut it. Whether you’re performing investigations or hunting for threats, you need all security-relevant context. Learn key practices in data collection and normalisation and see how you can use Elastic Security to quickly and accurately triage, verify, and scope issues.
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The first technical talk of the event will highlight the latest releases at Elastic with specific insight into how those changes impact public sector projects. See the inside view of the most important capabilities and hear predictions on the developments that will be most applicable in our industry.
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- Discuss the role of Observability (Logging; Tracing; and Metric) in modern architecture.
- How to implement observability in Golang using OpenCensus.
- The 4 golden signals when designing the metrics.
- How to apply observability into the process.
Combining Logs, Metrics, and Traces for Unified ObservabilityElasticsearch
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Danny highlights the importance how a solid support system behind your chosen integration solution is not an option but a must if you want to get ahead and stay ahead. You’ll gain key insights into how managing and supporting an Azure platform is different from an on-premises solution and why you need experts who know the difference and have the resources to support you. In this session you’ll discover how a hybrid integration solution is the key to a strong stack, and why Azure is not the end of the story.
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CSG is a multinational corporation providing Business Support Systems software and services to various industries, including their cloud-based Ascendon platform which makes it possible for digital content providers to launch services seamlessly into their own unique and branded user experience. In 2013, with a growing customer base and ballooning data volumes causing streaming issues and timeouts during high-demand live events, CSG needed extra bandwidth and to move away from SQL databases as the back end for Ascendon. CSG already used the Elastic Stack as a logging solution and decided to deploy an Elasticsearch cluster as a scalable solution for a high-demand streaming event on Ascendon. As time progressed and their clusters and use case grew, CSG turned to Elastic Cloud Enterprise (ECE) to move their logging and search use cases into the cloud. Learn how ECE adoption across their production environment has improved speed and flexibility of Ascendon at CSG and get a glimpse of their myriad other use cases including how they currently use Elastic machine learning features to discover fraud and uncover changes in usage and performance.
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Découvrez des fonctionnalités stratégiques de la Suite Elastic, notamment Elasticsearch, un moteur de données incomparable, et Kibana, véritable fenêtre ouverte sur la Suite Elastic.
Dans cette session, vous apprendrez à :
injecter des données dans la Suite Elastic ;
stocker des données ;
analyser des données ;
exploiter des données.
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Learn about the strategic feature areas of the Elastic Stack—Elasticsearch, a data engine like no other, and Kibana, the window into the Elastic Stack.
The session will cover:
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Storing data
Analyzing data
Acting on data
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Learning Objectives:
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- Understand the factors driving the accelerating transformation of batch processing to real-time.
- Learn how you should plan for incorporating data streaming in your analytics and processing workloads.
Business can now easily perform real-time analytics on data that has been traditionally analyzed using batch processing in data warehouses or using Hadoop frameworks, and react to new information in minutes or seconds instead of hours or days. In this webinar, Forrester analyst Mike Gualtieri and Amazon Kinesis GM Roger Barga will discuss this prevalent trend, it's business significance, and how you should plan for it. You will also learn about the AWS services that can help you get started quickly with real-time, streaming applications fore your analytics and big data workloads.
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New usage model for real-time analytics by Dr. WILLIAM L. BAIN at Big Data S...Big Data Spain
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Introducing Amazon Kinesis: Real-time Processing of Streaming Big Data (BDT10...Amazon Web Services
"This presentation will introduce Kinesis, the new AWS service for real-time streaming big data ingestion and processing.
We’ll provide an overview of the key scenarios and business use cases suitable for real-time processing, and discuss how AWS designed Amazon Kinesis to help customers shift from a traditional batch-oriented processing of data to a continual real-time processing model. We’ll provide an overview of the key concepts, attributes, APIs and features of the service, and discuss building a Kinesis-enabled application for real-time processing. We’ll also contrast with other approaches for streaming data ingestion and processing. Finally, we’ll also discuss how Kinesis fits as part of a larger big data infrastructure on AWS, including S3, DynamoDB, EMR, and Redshift."
FSI201 FINRA’s Managed Data Lake – Next Gen Analytics in the CloudAmazon Web Services
FINRA’s Data Lake unlocks the value in its data to accelerate analytics and machine learning at scale. FINRA's Technology group has changed its customer's relationship with data by creating a Managed Data Lake that enables discovery on Petabytes of capital markets data, while saving time and money over traditional analytics solutions. FINRA’s Managed Data Lake includes a centralized data catalog and separates storage from compute, allowing users to query from petabytes of data in seconds. Learn how FINRA uses Spot instances and services such as Amazon S3, Amazon EMR, Amazon Redshift, and AWS Lambda to provide the 'right tool for the right job' at each step in the data processing pipeline. All of this is done while meeting FINRA’s security and compliance responsibilities as a financial regulator.
Amazon Kinesis is a platform for streaming data on AWS, offering powerful services to make it easy to load and analyze streaming data. In this session, you'll learn about how AWS customers are transitioning from batch to real-time processing using Amazon Kinesis, and how to get started. We will provide an overview of streaming data applications and introduce the Amazon Kinesis platform and its services. We will walk through a production use case to demonstrate how to ingest streaming data, prepare it, and analyze it to gain actionable insights in real time using Amazon Kinesis. We will also provide pointers to tutorials and other resources so you can quickly get started with your streaming data application.
Azure Data Explorer deep dive - review 04.2020Riccardo Zamana
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AWS December 2015 Webinar Series - Strategies to Quantify TCO & Optimize Cost...Amazon Web Services
AWS allows customers to save money and optimize costs in multiple ways. By adopting AWS, organizations can reduce capital expenses and shift to an operating model, improve business performance and drive savings over time. Organizations that adopt AWS have the tools to move from forecast-based capacity planning to an on-demand model with no termination fees or complex agreements. By moving to AWS, customers can reduce total cost of ownership (TCO) and continue to see increased savings over time. In addition to reducing TCO, AWS empowers customers to optimize costs by providing them tools and partner solutions that help them identify what they are consuming and the right size of the services that their business needs. They will use the services only when they are necessary for production. These solutions allow customers to pay not only for what they need but also only pay for the right capacity and time of consumption, reducing idle time and unnecessary sunk costs.
In this webinar, you will learn strategies directly from AWS Product Manager and understand how a customer (FINRA) used Splunk to develop a cost optimization model that helps to drive value and continued lower costs.
Learning Objectives:
Dive deeper into the economics of the cloud and understand how AWS can positively impact your organization
Learn how a customer gained real-time visibility into instance cost and usage to reduce spending
Who Should Attend:
IT managers, Sr. IT professionals, business decision makers, procurement managers, developers, sys admins, operations
(BDT306) How Hearst Publishing Manages Clickstream Analytics with AWSAmazon Web Services
Hearst Corporation monitors trending content on 250+ sites worldwide, providing metrics to editors and promoting cross-platform content sharing. To facilitate this, Hearst built a clickstream analytics platform on AWS that transmits and processes over 30 TB of data a day using AWS resources such as AWS Elastic Beanstalk, Amazon Kinesis, Spark on Amazon EMR, Amazon S3, Amazon Redshift, and Amazon Elasticsearch. In this session, learn how Hearst designed their clickstream analytics application and how you can use the same architecture to build your own and be ready to handle the changing world of clickstream data. Dive into how to do Spark streaming from an Amazon Kinesis stream, use timestamps to cleanse and validate data coming from diverse sources, and see how the system has evolved as data types have change from HTTP GET to RESTful JSON requests. Finally, see how Hearst's data scientists interact with and use cleansed data provided by the platform to perform ad hoc analyses, develop home-grown algorithms, and create visualizations and dashboards that support Hearst business stakeholders.
Using AWS to design and build your data architecture has never been easier to gain insights and uncover new opportunities to scale and grow your business. Join this workshop to learn how you can gain insights at scale with the right big data applications.
BDA307 Real-time Streaming Applications on AWS, Patterns and Use CasesAmazon Web Services
In this session, you will learn best practices for implementing simple to advanced real-time streaming data use cases on AWS. First, we’ll review decision points on near real-time versus real time scenarios. Next, we will take a look at streaming data architecture patterns that include Amazon Kinesis Analytics, Amazon Kinesis Firehose, Amazon Kinesis Streams, Spark Streaming on Amazon EMR, and other open source libraries. Finally, we will dive deep into the most common of these patterns and cover design and implementation considerations.
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Like most modern organizations, your teams are likely using upwards of 10 cloud-based applications on a daily basis, but spending far too many hours a day searching for the information they need across all of them. With the out-of-the-box capabilities of Elastic Workplace Search, see how easy it is to put relevant content right at your teams’ fingertips with unified search across all the apps they rely on to get work done.
Building great website search experiencesElasticsearch
Discover how easy it is to create rich, relevant search on public facing websites that drives conversion, increases content consumption, and helps visitors find what they need. Get a tour of the Elastic tools you can leverage to easily transform your website, including our powerful new web crawler.
Keynote: Harnessing the power of Elasticsearch for simplified searchElasticsearch
Get an overview of the innovation Elastic is bringing to the Enterprise Search landscape, and learn how you can harness these capabilities across your technology landscape to make the power of search work for you.
Explore relève les défis Big Data avec Elastic Cloud Elasticsearch
Spécialisée dans le développement et la gestion de solutions de veille documentaire et commerciale, Explore offre à ses clients une lecture précise et organisée de l’actualités des marchés et projets sur leurs territoires d'intervention. Afin de rendre leur offre plus agile et performante, Explore a choisi l’offre Elastic Cloud hébergée sur Microsoft Azure. Découvrez comment les équipes de production et de développement sont désormais en mesure de mieux exploiter les données pour les clients d’Explore et gagnent du temps sur la gestion de leur infrastructure.
"Elastic enables the world’s leading organization to exceed their business objectives and power their mission-critical systems by eliminating data silos, connecting the dots, and transforming data of all types into actionable insights.
Come learn how the power of search can help you quickly surface relevant insights at scale. Whether you are an executive looking to reduce operational costs, a department head striving to do more with fewer tools, or engineer monitoring and protecting your IT environment, this session is for you. "
The opportunities and challenges of data for public goodElasticsearch
Data is an increasingly valuable resource for delivering economic and social benefit. Heather will discuss the challenges and opportunities, and how communities at all levels of the public sector can play a part in leading the change.
Increased visibility: Opening the black box of networksElasticsearch
OHSU is a nationally prominent research university and Oregon’s only academic health center. It educates health professionals and scientists and provides leading-edge patient care, community service, and biomedical research. With the visibility of Elastic and Elastiflow, they are able to see and fix performance and security issues before their users become aware of them. The increased visibility also helped them detect security threats and address weaknesses in network infrastructure. And it’s currently being scaled up to store one year of all network traffic that will be entirely on NVMe storage for expedient queries.
Using a risk based approach to provide cost-effective securityElasticsearch
The State of Arizona Enterprise Security team undertook a proof of concept to increase the automation and reporting capabilities of its risk assessment and threat intelligence process. The goal is to analyze large amounts of data using Elastic to produce more accurate risk assessments with prevention, detection, response capabilities, and accurately model the cybersecurity threats the state is facing. This enables the State of Arizona to validate its security posture, be agile to continuously improve and respond to evolving cyber threats, and improve the cost effectiveness of security tools.
What's new at Elastic: Update on major initiatives and releasesElasticsearch
The first technical talk of the event will highlight the latest releases at Elastic with specific insight into how those changes impact public sector projects. See the inside view of the most important capabilities and hear predictions on the developments that will be most applicable in our industry.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
When stars align: studies in data quality, knowledge graphs, and machine lear...
Comment transformer vos données en informations exploitables
1. ElasticON Solution Series - Why
Elastic?
Vincent Maury, Solutions Architect
Transforming Data into Insights
2. Safe Harbor
Statement
This presentation includes forward-looking
statements that are subject to risks and
uncertainties. Actual results may differ materially
as a result of various risk factors included in the
reports on the Forms 10K, 10Q, and 8K, and in
other filings we make with the SEC from time to
time. Elastic undertakes no obligation to update
any of these forward-looking statements.
4. Use cases emerged
Log analytics
Infrastructure metrics
Service uptime
Threat hunting
Website search
Cross company
resource search
eCommerce search
Incident Response
Real user monitoring
5. Search Observe Protect
Use cases emerged
Log analytics
Application performance monitoring
Infrastructure metrics
Service uptime
Threat hunting
Endpoint protection
Website search
In-app search
Cross company
resource search
eCommerce search
customer support
portal
Synthetic monitoring
Threat prevention
Threat Detection
Incident Response
Response hunting
Security monitoring
Business Analytics
Real user monitoring
Network Traffic Mapping
6. Log analytics
Application performance monitoring
Infrastructure metrics
Service uptime
Threat hunting
Endpoint protection
Website search
In-app search
Cross company
resource search
eCommerce search
customer support
portal
Synthetic monitoring
Threat prevention
Threat Detection
Incident Response
Response hunting
Security monitoring
Business Analytics
Real user monitoring
Elastic Enterprise Search Elastic Security
Elastic Observability
Network Traffic Mapping
Solutions created
27. Runtime Fields Use cases
Get a jump start on your data
• Spend less time setting up the index and
more time searching.
• Extract and calculate new fields on the fly.
• Convert to indexed fields as needed for
optimal performance.
28. Quickly adapt to changes in your data
Runtime Fields Use cases
• Data is constantly evolving.
• Changes can break your index mappings.
• Dynamically create runtime fields without
reindexing.
• Eliminate the need to fix mappings and
reindex your data.
29. Give current fields a fresh coat of paint
Runtime Fields Use cases
• Find new ways to analyze already
indexed data by creating a runtime
field using any combination of
existing fields.
• Empower end users to perform their
own analyses without overriding
others or requiring admin support.
30. Fix errors quickly reducing downtime to production
Runtime Fields Use cases
• Mistakes made in index mappings are no
longer costly.
• Shadow incorrectly indexed fields with
runtime fields.
• Eliminate the need to fix mappings and
reindex your data.