Time to Science, Time to Results. Accelerating Scientific research in the CloudAmazon Web Services
This session will feature ways customers have accelerated scientific research in the cloud using the AWS Cloud
Speaker: Brendon Bouffer, Scientific Computing, Amazon Web Services
This webinar recording will explain how to get started with Amazon Elastic MapReduce (EMR). EMR enables fast processing of large structured or unstructured datasets, and in this webinar we'll demonstrated how to setup an EMR job flow to analyse application logs, and perform Hive queries against it. We'll review best practices around data file organisation on Amazon Simple Storage Service (S3), how clusters can be started from the AWS web console and command line, and how to monitor the status of a Map/Reduce job. The security configuration that allows direct access to the Amazon EMR cluster in interactive mode will be shown, and we'll see how Hive provides a SQL like environment, while allowing you to dynamically grow and shrink the amount of compute used for powerful data processing activities.
Amazon EMR YouTube Recording: http://youtu.be/gSPh6VTBEbY
(SDD401) Amazon Elastic MapReduce Deep Dive and Best Practices | AWS re:Inven...Amazon Web Services
Amazon Elastic MapReduce is one of the largest Hadoop operators in the world. Since its launch five years ago, AWS customers have launched more than 5.5 million Hadoop clusters. In this talk, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters and other Amazon EMR architectural patterns. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
AWS Webcast - Amazon Elastic Map Reduce Deep Dive and Best PracticesAmazon Web Services
Amazon Elastic MapReduce (EMR) is one of the largest Hadoop operators in the world. Since its launch five years ago, our customers have launched more than 15 million Hadoop clusters inside of EMR. In this webinar, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters and other Amazon EMR architectural patterns. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
Hive + Amazon EMR + S3 = Elastic big data SQL analytics processing in the cloudJaipaul Agonus
This presentation is a real-world case study about moving a large portfolio of batch analytical programs that process 30 billion or more transactions every day, from a proprietary MPP database appliance architecture to the Hadoop ecosystem in the cloud, leveraging Hive, Amazon EMR, and S3.
(BDT305) Lessons Learned and Best Practices for Running Hadoop on AWS | AWS r...Amazon Web Services
Enterprises are starting to deploy large scale Hadoop clusters to extract value out of the data that they are generating. These clusters often span hundreds of nodes. To speed up the time to value, a lot of the newer deployments are happening in AWS, moving from the traditional on-premises, bare-metal world. Cloudera supports just such deployments. In this session, Cloudera shares the lessons learned and best practices for deploying multi-tenant Hadoop clusters in AWS. They will cover what reference deployments look like, what services are relevant for Hadoop deployments, network configurations, instance types, backup and disaster recovery considerations, and security considerations. They will also talk about what works well, what doesn't, and what has to be done going forward to improve the operability of Hadoop on AWS.
Amazon Elastic MapReduce (EMR) is a web service that allows you to easily and securely provision and manage your Hadoop clusters. In this talk, we will introduce you to Amazon EMR design patterns, such as using various data stores such as Amazon S3, how to take advantage of both transient and active clusters, as well as other Amazon EMR architectural patterns. We will dive deep on how to dynamically scale your cluster and address the ways you can fine-tune your cluster. We will discuss bootstrapping Hadoop applications from our partner ecosystem that you can use natively with Amazon EMR. Lastly, we will share best practices on how to keep your Amazon EMR cluster cost-effective.
Time to Science, Time to Results. Accelerating Scientific research in the CloudAmazon Web Services
This session will feature ways customers have accelerated scientific research in the cloud using the AWS Cloud
Speaker: Brendon Bouffer, Scientific Computing, Amazon Web Services
This webinar recording will explain how to get started with Amazon Elastic MapReduce (EMR). EMR enables fast processing of large structured or unstructured datasets, and in this webinar we'll demonstrated how to setup an EMR job flow to analyse application logs, and perform Hive queries against it. We'll review best practices around data file organisation on Amazon Simple Storage Service (S3), how clusters can be started from the AWS web console and command line, and how to monitor the status of a Map/Reduce job. The security configuration that allows direct access to the Amazon EMR cluster in interactive mode will be shown, and we'll see how Hive provides a SQL like environment, while allowing you to dynamically grow and shrink the amount of compute used for powerful data processing activities.
Amazon EMR YouTube Recording: http://youtu.be/gSPh6VTBEbY
(SDD401) Amazon Elastic MapReduce Deep Dive and Best Practices | AWS re:Inven...Amazon Web Services
Amazon Elastic MapReduce is one of the largest Hadoop operators in the world. Since its launch five years ago, AWS customers have launched more than 5.5 million Hadoop clusters. In this talk, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters and other Amazon EMR architectural patterns. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
AWS Webcast - Amazon Elastic Map Reduce Deep Dive and Best PracticesAmazon Web Services
Amazon Elastic MapReduce (EMR) is one of the largest Hadoop operators in the world. Since its launch five years ago, our customers have launched more than 15 million Hadoop clusters inside of EMR. In this webinar, we introduce you to Amazon EMR design patterns such as using Amazon S3 instead of HDFS, taking advantage of both long and short-lived clusters and other Amazon EMR architectural patterns. We talk about how to scale your cluster up or down dynamically and introduce you to ways you can fine-tune your cluster. We also share best practices to keep your Amazon EMR cluster cost efficient.
Hive + Amazon EMR + S3 = Elastic big data SQL analytics processing in the cloudJaipaul Agonus
This presentation is a real-world case study about moving a large portfolio of batch analytical programs that process 30 billion or more transactions every day, from a proprietary MPP database appliance architecture to the Hadoop ecosystem in the cloud, leveraging Hive, Amazon EMR, and S3.
(BDT305) Lessons Learned and Best Practices for Running Hadoop on AWS | AWS r...Amazon Web Services
Enterprises are starting to deploy large scale Hadoop clusters to extract value out of the data that they are generating. These clusters often span hundreds of nodes. To speed up the time to value, a lot of the newer deployments are happening in AWS, moving from the traditional on-premises, bare-metal world. Cloudera supports just such deployments. In this session, Cloudera shares the lessons learned and best practices for deploying multi-tenant Hadoop clusters in AWS. They will cover what reference deployments look like, what services are relevant for Hadoop deployments, network configurations, instance types, backup and disaster recovery considerations, and security considerations. They will also talk about what works well, what doesn't, and what has to be done going forward to improve the operability of Hadoop on AWS.
Amazon Elastic MapReduce (EMR) is a web service that allows you to easily and securely provision and manage your Hadoop clusters. In this talk, we will introduce you to Amazon EMR design patterns, such as using various data stores such as Amazon S3, how to take advantage of both transient and active clusters, as well as other Amazon EMR architectural patterns. We will dive deep on how to dynamically scale your cluster and address the ways you can fine-tune your cluster. We will discuss bootstrapping Hadoop applications from our partner ecosystem that you can use natively with Amazon EMR. Lastly, we will share best practices on how to keep your Amazon EMR cluster cost-effective.
Lähde kuvaretkelle verkon ihmeelliseen maailmaan kanssamme. Mikä on Insta, mikä on Pinterest ja miten mukaan, miten käytetään ? Vinkit aloittelijalle ja jo jonkin verran käyttäneille.
El Dr. Norberto Maciel, docente, investigador y Director de Postgrado de la Universidad Centrooccidental "Lisandro Alvarado" expone el verde de las ciudades sedientas de acuerdo a las características de las especies
It contains information about the basic concepts of management like what is management, functions of management, levels of management which is the basis for every management student.
Why is everyone interested in Big Data and Hadoop?
Why you should use Hadoop?
Read this to and you as well you quickly and easily be the proud owner of a Hadoop kit of your own, using Cloudera Free Edition.
************************NOTE**********************
This presentation is still being edited and new slides added every day. Stay tuned...
****************************************************
Cloudera's open-source Apache Hadoop distribution, CDH (Cloudera Distribution Including Apache Hadoop), targets enterprise-class deployments of that technology. Cloudera says that more than 50% of its engineering output is donated upstream to the various Apache-licensed open source projects.
https://www.pass4sureexam.com/ccD-410.html
Lähde kuvaretkelle verkon ihmeelliseen maailmaan kanssamme. Mikä on Insta, mikä on Pinterest ja miten mukaan, miten käytetään ? Vinkit aloittelijalle ja jo jonkin verran käyttäneille.
El Dr. Norberto Maciel, docente, investigador y Director de Postgrado de la Universidad Centrooccidental "Lisandro Alvarado" expone el verde de las ciudades sedientas de acuerdo a las características de las especies
It contains information about the basic concepts of management like what is management, functions of management, levels of management which is the basis for every management student.
Why is everyone interested in Big Data and Hadoop?
Why you should use Hadoop?
Read this to and you as well you quickly and easily be the proud owner of a Hadoop kit of your own, using Cloudera Free Edition.
************************NOTE**********************
This presentation is still being edited and new slides added every day. Stay tuned...
****************************************************
Cloudera's open-source Apache Hadoop distribution, CDH (Cloudera Distribution Including Apache Hadoop), targets enterprise-class deployments of that technology. Cloudera says that more than 50% of its engineering output is donated upstream to the various Apache-licensed open source projects.
https://www.pass4sureexam.com/ccD-410.html
Fundamentals of Big Data, Hadoop project design and case study or Use case
General planning consideration and most necessaries in Hadoop ecosystem and Hadoop projects
This will provide the basis for choosing the right Hadoop implementation, Hadoop technologies integration, adoption and creating an infrastructure.
Building applications using Apache Hadoop with a use-case of WI-FI log analysis has real life example.
Chicago Data Summit: Cloudera's Distribution including Apache Hadoop & Cloude...Cloudera, Inc.
This session will discuss what's new in the recently released CDH3 and Enterprise 3.5 products. We'll review how usage of Hadoop has evolving in the enterprise and how CDH3 and Enterprise 3.5 meet these new challenges with advances in functionality, performance, security and manageability.
Modernizing Your Data Platform for Analytics and AI in the Hybrid Cloud EraAlluxio, Inc.
Alluxio Webinar
August 25, 2021
For more Alluxio events: https://www.alluxio.io/events/
Speakers:
Adit Madan
Bin Fan
With data lakes expanding from on-prem to the cloud as well as increasing use of new object data stores, data platform teams are challenged with providing consistent, high-throughput access to distributed data sources for analytics and AI/ML applications. In today’s hybrid cloud and multi-cloud era, data-intensive applications such as Presto, Spark, Hive, and Tensorflow are suffering more sluggish response times and increased complexity with the growing separation of data and compute.
Join Alluxio’s distributed systems experts as they explore today’s data access challenges and open source data orchestration solutions for modernizing your data platform.
In this tech talk, you'll learn:
- How data access and throughput challenges are hindering large-scale analytics and AI/ML applications
- How a data orchestration layer can simplify distributed data access and improve performance
- Real-world production use cases and example journeys for architecting a modern data platform
Hadoop as we know is a Java based massive scalable distributed framework for processing large data (several peta bytes) across a cluster (1000s) of commodity computers.
The Hadoop ecosystem has grown over the last few years and there is a lot of jargon in terms of tools as well as frameworks.
Many organizations are investing & innovating heavily in Hadoop to make it better and easier. The mind map on the next slide should be useful to get a high level picture of the ecosystem.
Cloudera Manager Webinar | Cloudera Enterprise 3.7Cloudera, Inc.
Managing Hadoop just got easier!
In this webinar, Cloudera VP, Product Charles Zedlewski will introduce and explain the new features and functionality of Cloudera Manager, a core component of Cloudera Enterprise 3.7.
What is Cloudera Manager?
Cloudera Manager is the industry’s first end-to-end management application for Apache Hadoop. With Cloudera Manager, you can easily deploy and centrally operate a complete Hadoop stack. The application automates the installation process, reducing deployment time from weeks to minutes; gives you a cluster wide, real time view of nodes and services running; provides a single, central place to enact configuration changes across your cluster; and incorporates a full range of reporting and diagnostic tools to help you optimize cluster performance and utilization.
What is Cloudera Enterprise?
Cloudera Enterprise enables data driven enterprises to run Apache Hadoop environments in production cost effectively with repeatable success. Comprised of Cloudera Support and Cloudera Manager, a software layer that delivers deep visibility into and across Hadoop clusters, Cloudera Enterprise gives Hadoop operators an efficient way to precisely provision and manage cluster resources. It also allows IT shops to apply familiar business metrics – such as measurable SLAs and chargebacks – to Hadoop environments so they can run at optimal utilization. Built-in predictive capabilities anticipate shifts in the Hadoop infrastructure, ensuring reliable operation.
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
This annual program recognizes organizations who are moving swiftly towards the future and building innovative solutions by making what was impossible yesterday, possible today.
The winning organizations' implementations demonstrate outstanding achievements in fulfilling their mission, technical advancement, and overall impact.
The 2021 Data Impact Awards recognize organizations' achievements with the Cloudera Data Platform in seven categories:
Data Lifecycle Connection
Data for Enterprise AI
Cloud Innovation
Security & Governance Leadership
People First
Data for Good
Industry Transformation
2020 Cloudera Data Impact Awards FinalistsCloudera, Inc.
Cloudera is proud to present the 2020 Data Impact Awards Finalists. This annual program recognizes organizations running the Cloudera platform for the applications they've built and the impact their data projects have on their organizations, their industries, and the world. Nominations were evaluated by a panel of independent thought-leaders and expert industry analysts, who then selected the finalists and winners. Winners exemplify the most-cutting edge data projects and represent innovation and leadership in their respective industries.
Machine Learning with Limited Labeled Data 4/3/19Cloudera, Inc.
Cloudera Fast Forward Labs’ latest research report and prototype explore learning with limited labeled data. This capability relaxes the stringent labeled data requirement in supervised machine learning and opens up new product possibilities. It is industry invariant, addresses the labeling pain point and enables applications to be built faster and more efficiently.
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Cloudera, Inc.
In this session, we will cover how to move beyond structured, curated reports based on known questions on known data, to an ad-hoc exploration of all data to optimize business processes and into the unknown questions on unknown data, where machine learning and statistically motivated predictive analytics are shaping business strategy.
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as -
-Powerful data ingestion powered by Apache NiFi
-Edge data collection by Apache MiNiFi
-IoT-scale streaming data processing with Apache Kafka
-Enterprise services to offer unified security and governance from edge-to-enterprise
Introducing Cloudera Data Science Workbench for HDP 2.12.19Cloudera, Inc.
Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Cloudera, Inc.
Join Cloudera as we outline how we use Cloudera technology to strengthen sales engagement, minimize marketing waste, and empower line of business leaders to drive successful outcomes.
Leveraging the cloud for analytics and machine learning 1.29.19Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on Azure. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Cloudera, Inc.
Join us to learn about the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on AWS. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Extending Cloudera SDX beyond the PlatformCloudera, Inc.
Cloudera SDX is by no means no restricted to just the platform; it extends well beyond. In this webinar, we show you how Bardess Group’s Zero2Hero solution leverages the shared data experience to coordinate Cloudera, Trifacta, and Qlik to deliver complete customer insight.
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
Join Cloudera Fast Forward Labs Research Engineer, Mike Lee Williams, to hear about their latest research report and prototype on Federated Learning. Learn more about what it is, when it’s applicable, how it works, and the current landscape of tools and libraries.
Analyst Webinar: Doing a 180 on Customer 360Cloudera, Inc.
451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms.
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Introducing the data science sandbox as a service 8.30.18Cloudera, Inc.
How can companies integrate data science into their businesses more effectively? Watch this recorded webinar and demonstration to hear more about operationalizing data science with Cloudera Data Science Workbench on Cazena’s fully-managed cloud platform.
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
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.
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.
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.
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.
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.
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
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Webinar: Inside Cloudera's Distribution including Apache Hadoop v3
1. Welcome toInside Cloudera’s Distribution including Apache Hadoop Audio/Telephone: +1 (314) 627-1519 Access Code: 380-729-510 Audio PIN: Shown after joining the Webinar Presenter: Charles Zedlewski, Cloudera VP of Product
2. Housekeeping Ask questions at any time using the Questions panel Problems? Use the Chat panel Slides and recording will be available 2 Copyright 2011 Cloudera Inc. All rights reserved
3. What Cloudera set out to do with CDH3 Give organizations an integrated, complete data management system that is 100% Apache open source Provide a platform that the rest of the enterprise IT ecosystem could integrate with Continue to make Apache Hadoop even easier to adopt Provide a level of release predictability that organizations can plan their maintenance and upgrade cycles on
4. An integrated data management system – what did Google do? Dremel Evenflow Evenflow Dremel Sawzall Bigtable MySQL Gateway MapReduce / GFS Chubby
8. CDH3 assembled the best of the Apache Hadoop ecosystem into an integrated system so you don’t have to Cloudera’s Distribution Including Apache Hadoop Hue Hue Oozie Oozie Hive Hive / Pig HBase Sqoop Flume Zookeeper
9. How CDH3 got created Enhancements written and contributed to Apache projects Customer and partner requirements Integration, testing, & backporting Releases selected or cut Stable release! Hadoop 0.20.2 +923 HBase 0.90.1 +15 Hive 0.7 +22 Pig 0.8 +20 Flume 0.9.3 +17 Oozie 20.2 +31 Hue 1.2.0 +0 Sqoop 1.2 +24 Zookeeper 3.3.3 +12 HDFS Beta cycle, more backporting Prioritization based on customer value, cost and (for CDH) community readiness HBase Flume, etc
10. CDH2 to CDH3 Copyright 2011. Cloudera confidential and proprietary. Redistribution without permission is not permitted
12. Example 1 – clickstream sessions Hive Store table metadata MapReduce Sqoop Reliably collect logs Process into sessions Export in EDW for BI reporting Flume HDFS Store in the filesystem
13. Example 2 – fraud analysis Sqoop Hive Analytics performed using HQL Import regularly changing dimension data HBase MapReduce Sqoop HDFS Import of fact data into filesystem
14. What Cloudera set out to do with CDH3 Give organizations an integrated, complete data management system that is 100% Apache open source Provide a platform that the rest of the enterprise IT ecosystem could integrate with Continue to make Apache Hadoop even easier to adopt Provide a level of release predictability that organizations can plan their maintenance and upgrade cycles on
15. Investing in interfacing with the Enterprise IT ecosystem Drivers, language enhancements, testing Cloudera’s Distribution Including Apache Hadoop Sqoop frame-work, adapters More coming… Packaging, testing
16. What Cloudera set out to do with CDH3 Give organizations an integrated, complete data management system that is 100% Apache open source Provide a platform that the rest of the enterprise IT ecosystem could integrate with Continue to make Apache Hadoop even easier to adopt Provide a level of release predictability that organizations can plan their maintenance and upgrade cycles on
17. Ease of adoption - making CDH a more enterprise quality artifact Regular, non-disruptive updates
18. There are new features for each component too (partial list)