Unified Data Platform, by Pauline Yeung of Cisco SystemsAltinity Ltd
Presented on December ClickHouse Meetup. Dec 3, 2019
Our journey from using ClickHouse in an internal threat library web application, to experimenting with ClickHouse to migrating production data from Elasticsearch, Postgres, HBase, to trying ClickHouse for error metrics in a product under development.
Abstract: Nowadays it’s only a lazy one who haven’t written his own metric storage and aggregation system. I am lazy, and that’s why I have to choose what to use and how to use. I don’t want you to do the same job, so I decided to share my considerations concerning architectures and test results.
Hadoop meetup : HUGFR Construire le cluster le plus rapide pour l'analyse des...Modern Data Stack France
Construire le cluster le plus rapide pour l'analyse des datas : benchmarks sur un régresseur par Christopher Bourez (Axa Global Direct)
Les toutes dernières technologies de calcul parallèle permettent de calculer des modèles de prédiction sur des big datas en des temps records. Avec le cloud est facilité l'accès à des configurations hardware modernes avec la possibilité d'une scalabilité éphémère durant les calculs. Des benchmarks sont réalisés sur plusieurs configuration hardware, allant de 1 instance à un cluster de 100 instances.
Christopher Bourez, développeur & manager expert en systèmes d'information modernes chez Axa Global Direct. Alien thinker. Blog : http://christopher5106.github.io/
Leveraging Intra-Node Parallelization in HPCC SystemsHPCC Systems
HPCC Systems offers parallelization by assuming data-independent tasks. For operations having complex predicates, such as the set similarity join (SSJ) predicates, this assumption might create a tradeoff. On the one hand, one may choose a data replication strategy with large intermediate data groups assuring that all intermediate results fit into main memory. However, this can lead to an underutilization of today's massively parallel CPUs. On the other hand, you may choose a higher degree of replication for better CPU utilization. Such a choice may lead to an overutilization of main memory on the compute nodes. Our research focuses on the parallel implementation of the set similarity join (SSJ) operator. This operator finds all pairs of records which have a similarity above a defined threshold using a similarity measure such as Jaccard. Our goal is a robust approach for executing SSJ that does not over-utilize memory and exploits CPU parallelization as much as possible. This approach requires data sharing between tasks/threads which is not foreseen in HPCC Systems so far. In this talk, we describe how we implemented multithreaded user-defined functions for the SSJ operator. To be able to control NUMAspecific parallelization conditions, we implemented a C++ plugin for HPCC Systems. Furthermore, we show how we visualized the relevant system parameters (CPU and memory usage). This talk is intended for anyone interested in extending HPCC Systems by plugins and monitoring distributed program execution.
Data warehouse or conventional database: Which is right for you?Data Con LA
Data Con LA 2020
Description
Developers have a plethora of choice for application data stores. In this talk we'll explore the differences between transaction processing systems like MySQL and analytic databases like ClickHouse to help you make the best choice for your application. Confused about when to use a data warehouse vs a traditional relational database? Open source has so many choices! Using MySQL and ClickHouse as examples, we'll work through use cases to see where each shines. Along the way we'll explore key technical differences like:
* row vs. column storage
* indexing and compression
* query parallelization
* concurrency support
* transaction models.
Finally we'll discuss how to handle use cases that require capabilities of both. Listeners will leave with clear criteria and and deeper understanding of database internals that enable them to make the right choice(s) for their own use cases.
Speaker
Robert Hodges, Altinity, Inc, CEO
Introduction to Sqoop | Big Data Hadoop Spark Tutorial | CloudxLabCloudxLab
Big Data with Hadoop & Spark Training: http://bit.ly/2kBMiEt
This CloudxLab Understanding Sqoop tutorial helps you to understand Sqoop in detail. Below are the topics covered in this tutorial:
1) Introduction to Sqoop
2) Sqoop Import - MySQL to HDFS
3) Sqoop Import - MySQL to Hive
4) Sqoop Import - MySQL to HBase
5) Sqoop Export - Hive to MySQL
Introduction to MapReduce - Hadoop Streaming | Big Data Hadoop Spark Tutorial...CloudxLab
Big Data with Hadoop & Spark Training: http://bit.ly/2sh5b3E
This CloudxLab Hadoop Streaming tutorial helps you to understand Hadoop Streaming in detail. Below are the topics covered in this tutorial:
1) Hadoop Streaming and Why Do We Need it?
2) Writing Streaming Jobs
3) Testing Streaming jobs and Hands-on on CloudxLab
The latest statistics from WeChat place its monthly active users (MAU) at 700million, with audiences visiting the application upwards of 30 times per day.
While follower numbers for most brands continue to grow, the honeymoon appears to be over. Signs are starting to emerge that follower growth rates for brand accounts are slowing.
At the same time, the government has started to apply pressure to regulate H5 apps built onto WeChat. And Tencent itself is applying greater control over brand activities.
Brands will have to employ more effective content strategies on WeChat moving forward. In this presentation we share our tips to help brands continue to grow by attracting/retaining audiences on WeChat.
Unified Data Platform, by Pauline Yeung of Cisco SystemsAltinity Ltd
Presented on December ClickHouse Meetup. Dec 3, 2019
Our journey from using ClickHouse in an internal threat library web application, to experimenting with ClickHouse to migrating production data from Elasticsearch, Postgres, HBase, to trying ClickHouse for error metrics in a product under development.
Abstract: Nowadays it’s only a lazy one who haven’t written his own metric storage and aggregation system. I am lazy, and that’s why I have to choose what to use and how to use. I don’t want you to do the same job, so I decided to share my considerations concerning architectures and test results.
Hadoop meetup : HUGFR Construire le cluster le plus rapide pour l'analyse des...Modern Data Stack France
Construire le cluster le plus rapide pour l'analyse des datas : benchmarks sur un régresseur par Christopher Bourez (Axa Global Direct)
Les toutes dernières technologies de calcul parallèle permettent de calculer des modèles de prédiction sur des big datas en des temps records. Avec le cloud est facilité l'accès à des configurations hardware modernes avec la possibilité d'une scalabilité éphémère durant les calculs. Des benchmarks sont réalisés sur plusieurs configuration hardware, allant de 1 instance à un cluster de 100 instances.
Christopher Bourez, développeur & manager expert en systèmes d'information modernes chez Axa Global Direct. Alien thinker. Blog : http://christopher5106.github.io/
Leveraging Intra-Node Parallelization in HPCC SystemsHPCC Systems
HPCC Systems offers parallelization by assuming data-independent tasks. For operations having complex predicates, such as the set similarity join (SSJ) predicates, this assumption might create a tradeoff. On the one hand, one may choose a data replication strategy with large intermediate data groups assuring that all intermediate results fit into main memory. However, this can lead to an underutilization of today's massively parallel CPUs. On the other hand, you may choose a higher degree of replication for better CPU utilization. Such a choice may lead to an overutilization of main memory on the compute nodes. Our research focuses on the parallel implementation of the set similarity join (SSJ) operator. This operator finds all pairs of records which have a similarity above a defined threshold using a similarity measure such as Jaccard. Our goal is a robust approach for executing SSJ that does not over-utilize memory and exploits CPU parallelization as much as possible. This approach requires data sharing between tasks/threads which is not foreseen in HPCC Systems so far. In this talk, we describe how we implemented multithreaded user-defined functions for the SSJ operator. To be able to control NUMAspecific parallelization conditions, we implemented a C++ plugin for HPCC Systems. Furthermore, we show how we visualized the relevant system parameters (CPU and memory usage). This talk is intended for anyone interested in extending HPCC Systems by plugins and monitoring distributed program execution.
Data warehouse or conventional database: Which is right for you?Data Con LA
Data Con LA 2020
Description
Developers have a plethora of choice for application data stores. In this talk we'll explore the differences between transaction processing systems like MySQL and analytic databases like ClickHouse to help you make the best choice for your application. Confused about when to use a data warehouse vs a traditional relational database? Open source has so many choices! Using MySQL and ClickHouse as examples, we'll work through use cases to see where each shines. Along the way we'll explore key technical differences like:
* row vs. column storage
* indexing and compression
* query parallelization
* concurrency support
* transaction models.
Finally we'll discuss how to handle use cases that require capabilities of both. Listeners will leave with clear criteria and and deeper understanding of database internals that enable them to make the right choice(s) for their own use cases.
Speaker
Robert Hodges, Altinity, Inc, CEO
Introduction to Sqoop | Big Data Hadoop Spark Tutorial | CloudxLabCloudxLab
Big Data with Hadoop & Spark Training: http://bit.ly/2kBMiEt
This CloudxLab Understanding Sqoop tutorial helps you to understand Sqoop in detail. Below are the topics covered in this tutorial:
1) Introduction to Sqoop
2) Sqoop Import - MySQL to HDFS
3) Sqoop Import - MySQL to Hive
4) Sqoop Import - MySQL to HBase
5) Sqoop Export - Hive to MySQL
Introduction to MapReduce - Hadoop Streaming | Big Data Hadoop Spark Tutorial...CloudxLab
Big Data with Hadoop & Spark Training: http://bit.ly/2sh5b3E
This CloudxLab Hadoop Streaming tutorial helps you to understand Hadoop Streaming in detail. Below are the topics covered in this tutorial:
1) Hadoop Streaming and Why Do We Need it?
2) Writing Streaming Jobs
3) Testing Streaming jobs and Hands-on on CloudxLab
The latest statistics from WeChat place its monthly active users (MAU) at 700million, with audiences visiting the application upwards of 30 times per day.
While follower numbers for most brands continue to grow, the honeymoon appears to be over. Signs are starting to emerge that follower growth rates for brand accounts are slowing.
At the same time, the government has started to apply pressure to regulate H5 apps built onto WeChat. And Tencent itself is applying greater control over brand activities.
Brands will have to employ more effective content strategies on WeChat moving forward. In this presentation we share our tips to help brands continue to grow by attracting/retaining audiences on WeChat.
Your employees want a bigger piece of the pie. You want to attract and retain top talent while motivating employees to perform at their best. In this webinar, PayScale and BambooHR experts guide you to create a compensation plan that's a win/win for both you and your employees.
It’s not enough that you drink water every day. You have to make sure it’s the adequate amount and it’s absolutely safe and clean. To be guaranteed about your everyday drinking water, it would be a good idea buy water filter here in Singapore or anywhere you might be in the world.
Today there are a lot of cloud providers, with a wide range of offers. Web projects usually have continuously changing needs: what worked well yesterday may not be enough today. These two facts became quite obvious for us while migrating a large PHP application from Rackspace to Amazon. In this session I’d like to share this experience highlighting infrastructure and code evolution, migration steps, cost analisys, issues.
As more workloads move to severless-like environments, the importance of properly handling downscaling increases. While recomputing the entire RDD makes sense for dealing with machine failure, if your nodes are more being removed frequently, you can end up in a seemingly loop-like scenario, where you scale down and need to recompute the expensive part of your computation, scale back up, and then need to scale back down again.
Even if you aren’t in a serverless-like environment, preemptable or spot instances can encounter similar issues with large decreases in workers, potentially triggering large recomputes. In this talk, we explore approaches for improving the scale-down experience on open source cluster managers, such as Yarn and Kubernetes-everything from how to schedule jobs to location of blocks and their impact (shuffle and otherwise).
CONFidence 2015: DTrace + OSX = Fun - Andrzej Dyjak PROIDEA
Speaker: Andrzej Dyjak
Language: English
In recent years security industry started to grow fond of Apple’s iOS and OS X platforms. This talk will cover one of XNU's flagship debugging utilities: DTrace, a dynamic tracing framework for troubleshooting kernel and application problems on production systems in real time. It will be shown how it can be used in order to ease various tasks within the realm of dynamic binary analysis and beyond.
CONFidence: http://confidence.org.pl/
4Developers 2018: Pyt(h)on vs słoń: aktualny stan przetwarzania dużych danych...PROIDEA
Historycznie świat dużych danych, lub jak kto woli Big Data, był zarezerwowany dla technologii pochodzących ze świata Javy. Z drugiej strony, od lat Python silnie się rozwija w analizie danych i obliczeniach naukowych, które z reguły działają na mniejszych danych. Niemniej, wiele się obecnie zmieniło. Python stał się coraz ważniejszym językiem w projekcie Spark. Ponadto nowe projekty w Python do pracy z dużymi danymi, jak Dask, stają się coraz bardziej popularne. Dodatkowo, coraz więcej zarządzanych platform chmurowych jak Google BigQuery jest powszechnie dostępnych i łatwo używalnych w Python. W tej prezentacji podsumowuje aktualny stan analizy dużych danych w Python, poparty prawdziwymi przykładami, zaletami i wadami danych podejść, oraz przemyśleniami co może przynieść przyszłość.
Cloud State of the Union for Java DevelopersBurr Sutter
This presentation provides a broad overview of what is going on in the Cloud computing world - for Java developers - presented on Dec 21st 2010 at the Atlanta Java Users Group - ajug.org - no audio was recorded.
Machine Learning with H2O, Spark, and Python at Strata 2015Sri Ambati
Machine Learning with H2O, Spark, and Python at Strata SJ 2015-by Cliff Click and Michal Malohlava
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Hadoop + Cassandra: Fast queries on data lakes, and wikipedia search tutorial.Natalino Busa
Today’s services rely on massive amount of data to be processed, but require at the same time to be fast and responsive. Building fast services on big data batch- oriented frameworks is definitely a challenge. At ING, we have worked on a stack that can alleviate this problem. Namely, we materialize data model by map-reducing Hadoop queries from Hive to Cassandra. Instead of sinking the results back to hdfs, we propagate the results into Cassandra key-values tables. Those Cassandra tables are finally exposed via a http API front-end service.
AWS re:Invent re:Cap 행사에서 발표된 강연 자료입니다. 아마존 웹서비스의 김일호 솔루션스 아키텍트가 발표한 내용입니다.
내용 요약: Hadoop과 Elastic MapReduce, Redshift, Kinesis, Data Pipeline, S3 등 다양한 서비스들을 활용하는 데이터 분석의 모범사례 및 아키텍처 설계 패턴에 대해 말씀드리고, re:Invent에서 새로 추가된 Amazon EC2 컴퓨팅 최적화 인스턴스 C4와 새로 발표된 Amazon EBS 볼륨 확장 및 성능 향상에 대해 함께 살펴볼 예정입니다.
Apache Spark is an open-source parallel processing framework that supports in-memory processing to boost the performance of big-data analytic applications. We will cover approaches of processing Big Data on Spark cluster for real time analytic, machine learning and iterative BI and also discuss the pros and cons of using Spark in Azure cloud.
Event: #SE2016
Stage: IoT & BigData
Data: 2 of September 2016
Speaker: Vitalii Bondarenko
Topic: HD insight spark. Advanced in-memory Big Data analytics with Microsoft Azure
INHACKING site: https://inhacking.com
SE2016 site: http://se2016.inhacking.com/
Big Data Europe: Simplifying Development and Deployment of Big Data ApplicationsBigData_Europe
Presentation at MSD IT Global Innovation Center in Prague, Czech Republic. Covers the technical outcomes of horizon2020 BigDataEurope project and provides and example of a component integration into the BDI platform.
Similar to Daniel Sikar: Hadoop MapReduce - 06/09/2010 (20)
5 things cucumber is bad at by Richard LawrenceSkills Matter
This talk will look at 5 things Cucumber’s bad at, why that’s a good thing, and what it tells us about Cucumber’s sweet spot in a team’s toolkit.
Many times, when people complain about something Cucumber’s not good at, they’re unwittingly describing something Cucumber shouldn't be good at. They’re revealing that they don’t quite understand BDD and Cucumber’s role in it.
Cucumber is the world's most misunderstood collaboration tool and people need to hear this over and over again.
Patterns for slick database applicationsSkills Matter
Slick is Typesafe's open source database access library for Scala. It features a collection-style API, compact syntax, type-safe, compositional queries and explicit execution control. Community feedback helped us to identify common problems developers are facing when writing Slick applications. This talk suggests particular solutions to these problems. We will be looking at reducing boiler-plate, re-using code between queries, efficiently modeling object references and more.
Scala e xchange 2013 haoyi li on metascala a tiny diy jvmSkills Matter
Metascala is a tiny metacircular Java Virtual Machine (JVM) written in the Scala programming language. Metascala is barely 3000 lines of Scala, and is complete enough that it is able to interpret itself metacircularly. Being written in Scala and compiled to Java bytecode, the Metascala JVM requires a host JVM in order to run.
The goal of Metascala is to create a platform to experiment with the JVM: a 3000 line JVM written in Scala is probably much more approachable than the 1,000,000 lines of C/C++ which make up HotSpot, the standard implementation, and more amenable to implementing fun features like continuations, isolates or value classes. The 3000 lines of code gives you:
The bytecode interpreter, together with all the run-time data structures
A stack-machine to SSA register-machine bytecode translator
A custom heap, complete with a stop-the-world, copying garbage collector
Implementations of parts of the JVM's native interface
Although it is far from a complete implementation, Metascala already provides the ability to run untrusted bytecode securely (albeit slowly), since every operation which could potentially cause harm (including memory allocations and CPU usage) is virtualized and can be controlled. Ongoing work includes tightening of the security guarantees, improving compatibility and increasing performance.
ENJOYIN
Progressive f# tutorials nyc dmitry mozorov & jack pappas on code quotations ...Skills Matter
Code Quotations: Code-as-Data for F#
This tutorial will cover F# Code Quotations in-depth. You'll learn what Code Quotations are, how to use them, and where to apply them in your applications. We'll work through several real-world examples to highlight the important features -- and potential pitfalls -- of Code Quotations.
Cukeup nyc ian dees on elixir, erlang, and cucumberlSkills Matter
Elixir, Erlang, and Cucumberl
Elixir is a new Ruby-inspired programming language that uses the powerful concurrent machinery of Erlang behind the scenes. Cucumberl is a port of Cucumber to Erlang. Let's see what happens when we put them together.
In this talk, we'll discuss:
How Erlang's concurrency makes it easier to write robust programs
Elixir's approachable syntax
How to test Erlang and Elixir programs using Cucumberl
Attendees will walk away with a solid introduction to the principles of Erlang, and an appreciation of the way Elixir brings the joy of Ruby to the solidity of the Erlang runtime.
Cukeup nyc peter bell on getting started with cucumber.jsSkills Matter
Cukeup NYC. Peter Bell on Getting started with cucumber.js
Ever wished you could use cucumber in your javascript apps? In this talk we'll look at the current state of play of cucumber js, when you should and shouldn't use it, and how to get started writing your step definitions in javascript.
Agile testing & bdd e xchange nyc 2013 jeffrey davidson & lav pathak & sam ho...Skills Matter
In this engaging experience report, we will present 3 different views – Developer, Tester, Business Analyst – of implementing Acceptance Test Driven Development in a complex, data-driven domain. Hear how we used ATDD for building a ubiquitous language across the entire team, promoting faster feedback, and cultivating a culture where product owners were deeply invested in the quality of both every deliverable and the system as a whole.
Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...Skills Matter
In this tutorial, Phil and Rachel will introduce you to the Try F# samples giving you exposure to, and an understanding of, how F# tackles some real-world scenarios. We'll help you explore, generate, and just play around with code samples, as well as talk you through some of the key principles of F#. By the end of this session, you'll have gone from zero to data science in only a few hours!
Progressive f# tutorials nyc don syme on keynote f# in the open source worldSkills Matter
F# is a powerful open-source language which Microsoft, other companies and the F# community all contribute to. In this talk, Don will discuss how the “F# space” has recently opened up significantly in interesting ways. F# now includes contributions that range from Cloud IDE platforms, Cloud Compute frameworks, Data interoperability components, Cross-platform execution, Try F#, MonoDevelop, and even Emacs editor integration with surprising tooling support, as well as the Visual F# tools from Microsoft and the broader NuGet package ecosystem. Don will also talk about some of the latest contributions from Microsoft Research, including new type provider components for F#, and describe how his team work with the Visual F# team and other teams around Microsoft. There will also be demos of some fun new stuff that’s been going on with F# at MSR and the community.
Agile testing & bdd e xchange nyc 2013 gojko adzic on bond villain guide to s...Skills Matter
Would you like to learn how to make your software testing practices more effective? And how to use your testing strategy to better capture and reflect customer requirements? Gojko Adzic takes a critical look at the effectiveness of current software testing practices and proposes strategies to make it much more effective.
Dmitry mozorov on code quotations code as-data for f#Skills Matter
Code Quotations: Code-as-Data for F#
This tutorial will cover F# Code Quotations in-depth. You'll learn what Code Quotations are, how to use them, and where to apply them in your applications. We'll work through several real-world examples to highlight the important features -- and potential pitfalls -- of Code Quotations.
Simon Peyton Jones: Managing parallelismSkills Matter
If you want to program a parallel computer, it obviously makes sense to start with a computational paradigm in which parallelism is the default (ie functional programming), rather than one in which computation is based on sequential flow of control (the imperative paradigm). And yet, and yet ... functional programmers have been singing this tune since the 1980s, but do not yet rule the world. In this talk I’ll say why I think parallelism is too complex a beast to be slain at one blow, and how we are going to be driven, willy-nilly, towards a world in which side effects are much more tightly controlled than now. I’ll sketch a whole range of ways of writing parallel program in a functional paradigm (implicit parallelism, transactional memory, data parallelism, DSLs for GPUs, distributed processes, etc, etc), illustrating with examples from the rapidly moving Haskell community, and identifying some of the challenges we need to tackle.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Enhancing Performance with Globus and the Science DMZGlobus
ESnet has led the way in helping national facilities—and many other institutions in the research community—configure Science DMZs and troubleshoot network issues to maximize data transfer performance. In this talk we will present a summary of approaches and tips for getting the most out of your network infrastructure using Globus Connect Server.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis