This is the slide deck for the talk I gave at SouthWest Big Data (UK) and Hadoop Summit EMEA 2013.
Video is at: http://www.youtube.com/watch?v=Hw-V7-T3GmE
Optimizing your Infrastrucure and Operating System for HadoopDataWorks Summit
Apache Hadoop is clearly one of the fastest growing big data platforms to store and analyze arbitrarily structured data in search of business insights. However, applicable commodity infrastructures have advanced greatly in the last number of years and there is not a lot of accurate, current information to assist the community in optimally designing and configuring
Hadoop platforms (Infrastructure and O/S). In this talk we`ll present guidance on Linux and Infrastructure deployment, configuration and optimization from both Red Hat and HP (derived from actual performance data) for clusters optimized for single workloads or balanced clusters that host multiple concurrent workloads.
Administering a Hadoop cluster isn't easy. Many Hadoop clusters suffer from Linux configuration problems that can negatively impact performance. With vast and sometimes confusing config/tuning options, it can can tempting (and scary) for a cluster administrator to make changes to Hadoop when cluster performance isn't as expected. Learn how to improve Hadoop cluster performance and eliminate common problem areas, applicable across use cases, using a handful of simple Linux configuration changes.
Optimizing your Infrastrucure and Operating System for HadoopDataWorks Summit
Apache Hadoop is clearly one of the fastest growing big data platforms to store and analyze arbitrarily structured data in search of business insights. However, applicable commodity infrastructures have advanced greatly in the last number of years and there is not a lot of accurate, current information to assist the community in optimally designing and configuring
Hadoop platforms (Infrastructure and O/S). In this talk we`ll present guidance on Linux and Infrastructure deployment, configuration and optimization from both Red Hat and HP (derived from actual performance data) for clusters optimized for single workloads or balanced clusters that host multiple concurrent workloads.
Administering a Hadoop cluster isn't easy. Many Hadoop clusters suffer from Linux configuration problems that can negatively impact performance. With vast and sometimes confusing config/tuning options, it can can tempting (and scary) for a cluster administrator to make changes to Hadoop when cluster performance isn't as expected. Learn how to improve Hadoop cluster performance and eliminate common problem areas, applicable across use cases, using a handful of simple Linux configuration changes.
WANdisco is a provider of non-stop software for global enterprises to meet the challenges of Big Data and distributed software development.
KEY HIGHLIGHTS, Session 1: Tuesday, Feb. 26, 5:15 p.m.-6 p.m.
Hadoop and HBase on the Cloud: A Case Study on Performance and Isolation
Cloud infrastructure is a flexible tool to orchestrate multiple Hadoop and HBase clusters, which provides strict isolation of data and compute resources for multiple customers. Most importantly, our benchmarks show that virtualized environment allows for higher average utilization of per-node resources. For more session information, visit http://na.apachecon.com/schedule/presentation/131/.
CO-PRESENTERS, Dr. Konstantin V. Shvachko, Chief Architect, Big Data, WANdisco and Jagane Sundar, CTO/VP Engineering, Big Data, WANdisco
A veteran Hadoop developer and respected author, Konstantin Shvachko is a technical expert specializing in efficient data structures and algorithms for large-scale distributed storage systems. Konstantin joined WANdisco through the AltoStor acquisition and before that he was founder and Chief Scientist at AltoScale, a Hadoop and HBase-as-a-Platform company acquired by VertiCloud. Konstantin played a lead architectural role at eBay, building two generations of the organization's Hadoop platform. At Yahoo!, he worked on the Hadoop Distributed File System (HDFS). Konstantin has dozens of publications and presentations to his credit and is currently a member of the Apache Hadoop PMC. Konstantin has a Ph.D. in Computer Science and M.S. in Mathematics from Moscow State University, Russia.
Jagane Sundar has extensive big data, cloud, virtualization, and networking experience and joined WANdisco through its AltoStor acquisition. Before AltoStor, Jagane was founder and CEO of AltoScale, a Hadoop and HBase-as-a-Platform company acquired by VertiCloud. His experience with Hadoop began as Director of Hadoop Performance and Operability at Yahoo! Jagane has such accomplishments to his credit as the creation of Livebackup, development of a user mode TCP Stack for Precision I/O, development of the NFS and PPP clients and parts of the TCP stack for JavaOS for Sun MicroSystems, and more. Jagane received his B.E. in Electronics and Communications Engineering from Anna University.
About WANdisco
WANdisco ( LSE : WAND ) is a provider of enterprise-ready, non-stop software solutions that enable globally distributed organizations to meet today's data challenges of secure storage, scalability and availability. WANdisco's products are differentiated by the company's patented, active-active data replication technology, serving crucial high availability (HA) requirements, including Hadoop Big Data and Application Lifecycle Management (ALM). Fortune Global 1000 companies including AT&T, Motorola, Intel and Halliburton rely on WANdisco for performance, reliability, security and availability. For additional information, please visit www.wandisco.com.
Take a peak behind the curtain at how the operations team at LinkedIn deploys and configures Hadoop and its surrounding infrastructure. This talk will feature information for both new and expert users alike. Topics will include user and machine provisioning, software deployment, configuration management, and a walk through some of the custom patches for one of the leading Hadoop installations in the world.
Apache Drill [1] is a distributed system for interactive analysis of large-scale datasets, inspired by Google’s Dremel technology. It is a design goal to scale to 10,000 servers or more and to be able to process Petabytes of data and trillions of records in seconds. Since its inception in mid 2012, Apache Drill has gained widespread interest in the community. In this talk we focus on how Apache Drill enables interactive analysis and query at scale. First we walk through typical use cases and then delve into Drill's architecture, the data flow and query languages as well as data sources supported.
[1] http://incubator.apache.org/drill/
Impetus provides expert consulting services around Hadoop implementations, including R&D, assessment, deployment (on private and public clouds), optimizations for enhanced static shared data implementations.
This presentation speaks about Advanced Hadoop Tuning and Optimisation.
This presentation will give you Information about :
1. What is Hadoop,
2. History of Hadoop,
3. Building Blocks – Hadoop Eco-System,
4. Who is behind Hadoop?,
5. What Hadoop is good for and why it is Good?,
Hadoop makes data storage and processing at scale available as a lower cost and open solution. If you ever wanted to get your feet wet but found the elephant intimidating fear no more.
We will explore several integration considerations from a Windows application prospective like accessing HDFS content, writing streaming jobs, using .NET SDK, as well as HDInsight on premise or on Azure.
Hadoop is emerging as the preferred solution for big data analytics across unstructured data. Using real world examples learn how to achieve a competitive advantage by finding effective ways of analyzing new sources of unstructured and machine-generated data.
Hadoop Training is cover Hadoop Administration training and Hadoop developer by Keylabs. we provide best Hadoop classroom & online-training in Hyderabad&Bangalore.
http://www.keylabstraining.com/hadoop-online-training-hyderabad-bangalore
Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment.
hadoop training, hadoop online training, hadoop training in bangalore, hadoop training in hyderabad, best hadoop training institutes, hadoop online training in chicago, hadoop training in mumbai, hadoop training in pune, hadoop training institutes ameerpet
Hadoop is often viewed as needing racks of dedicated boxes -despite the fact that in sheer number terms, the majority of Hadoop clusters ever created have been brought up on public cloud infrastructures -particularly Amazon`s. Yet the rest of datacenter computing is moving towards virtualization -be it in-cloud startups or in-enterprise IT departments. Some organizations are standing up private clouds: a rack or two of servers with an API for VM creation. Hadoop can live there -it just needs to integrate better. At the same time, OpenStack is emerging as the de-facto standard open source cloud platform for private use, and is available publicly from a number of cloud infrastructure service providers. This talk looks at what we`ve done -and are doing- to integrate Hadoop with OpenStack. This is taking it beyond Hadoop`s current support for Amazon`s infrastructure, making a combined Hadoop + OpenStack cluster something to consider in-house -and in-cloud. This work is being done in collaboration with members of the OpenStack community, showing how cloud and big data projects can not only co-exist, we can co-develop our platforms.
There's a big shift in both at the architecture and api level from Hadoop 1 vs Hadoop 2, particularly YARN and we had our first meetup to talk about this (http://www.meetup.com/Atlanta-YARN-User-Group/) on 10/13/2013.
Data deduplication is a hot topic in storage and saves significant disk space for many environments, with some trade offs. We’ll discuss what deduplication is and where the Open Source solutions are versus commercial offerings. Presentation will lean towards the practical – where attendees can use it in their real world projects (what works, what doesn’t, should you use in production, etcetera).
WANdisco is a provider of non-stop software for global enterprises to meet the challenges of Big Data and distributed software development.
KEY HIGHLIGHTS, Session 1: Tuesday, Feb. 26, 5:15 p.m.-6 p.m.
Hadoop and HBase on the Cloud: A Case Study on Performance and Isolation
Cloud infrastructure is a flexible tool to orchestrate multiple Hadoop and HBase clusters, which provides strict isolation of data and compute resources for multiple customers. Most importantly, our benchmarks show that virtualized environment allows for higher average utilization of per-node resources. For more session information, visit http://na.apachecon.com/schedule/presentation/131/.
CO-PRESENTERS, Dr. Konstantin V. Shvachko, Chief Architect, Big Data, WANdisco and Jagane Sundar, CTO/VP Engineering, Big Data, WANdisco
A veteran Hadoop developer and respected author, Konstantin Shvachko is a technical expert specializing in efficient data structures and algorithms for large-scale distributed storage systems. Konstantin joined WANdisco through the AltoStor acquisition and before that he was founder and Chief Scientist at AltoScale, a Hadoop and HBase-as-a-Platform company acquired by VertiCloud. Konstantin played a lead architectural role at eBay, building two generations of the organization's Hadoop platform. At Yahoo!, he worked on the Hadoop Distributed File System (HDFS). Konstantin has dozens of publications and presentations to his credit and is currently a member of the Apache Hadoop PMC. Konstantin has a Ph.D. in Computer Science and M.S. in Mathematics from Moscow State University, Russia.
Jagane Sundar has extensive big data, cloud, virtualization, and networking experience and joined WANdisco through its AltoStor acquisition. Before AltoStor, Jagane was founder and CEO of AltoScale, a Hadoop and HBase-as-a-Platform company acquired by VertiCloud. His experience with Hadoop began as Director of Hadoop Performance and Operability at Yahoo! Jagane has such accomplishments to his credit as the creation of Livebackup, development of a user mode TCP Stack for Precision I/O, development of the NFS and PPP clients and parts of the TCP stack for JavaOS for Sun MicroSystems, and more. Jagane received his B.E. in Electronics and Communications Engineering from Anna University.
About WANdisco
WANdisco ( LSE : WAND ) is a provider of enterprise-ready, non-stop software solutions that enable globally distributed organizations to meet today's data challenges of secure storage, scalability and availability. WANdisco's products are differentiated by the company's patented, active-active data replication technology, serving crucial high availability (HA) requirements, including Hadoop Big Data and Application Lifecycle Management (ALM). Fortune Global 1000 companies including AT&T, Motorola, Intel and Halliburton rely on WANdisco for performance, reliability, security and availability. For additional information, please visit www.wandisco.com.
Take a peak behind the curtain at how the operations team at LinkedIn deploys and configures Hadoop and its surrounding infrastructure. This talk will feature information for both new and expert users alike. Topics will include user and machine provisioning, software deployment, configuration management, and a walk through some of the custom patches for one of the leading Hadoop installations in the world.
Apache Drill [1] is a distributed system for interactive analysis of large-scale datasets, inspired by Google’s Dremel technology. It is a design goal to scale to 10,000 servers or more and to be able to process Petabytes of data and trillions of records in seconds. Since its inception in mid 2012, Apache Drill has gained widespread interest in the community. In this talk we focus on how Apache Drill enables interactive analysis and query at scale. First we walk through typical use cases and then delve into Drill's architecture, the data flow and query languages as well as data sources supported.
[1] http://incubator.apache.org/drill/
Impetus provides expert consulting services around Hadoop implementations, including R&D, assessment, deployment (on private and public clouds), optimizations for enhanced static shared data implementations.
This presentation speaks about Advanced Hadoop Tuning and Optimisation.
This presentation will give you Information about :
1. What is Hadoop,
2. History of Hadoop,
3. Building Blocks – Hadoop Eco-System,
4. Who is behind Hadoop?,
5. What Hadoop is good for and why it is Good?,
Hadoop makes data storage and processing at scale available as a lower cost and open solution. If you ever wanted to get your feet wet but found the elephant intimidating fear no more.
We will explore several integration considerations from a Windows application prospective like accessing HDFS content, writing streaming jobs, using .NET SDK, as well as HDInsight on premise or on Azure.
Hadoop is emerging as the preferred solution for big data analytics across unstructured data. Using real world examples learn how to achieve a competitive advantage by finding effective ways of analyzing new sources of unstructured and machine-generated data.
Hadoop Training is cover Hadoop Administration training and Hadoop developer by Keylabs. we provide best Hadoop classroom & online-training in Hyderabad&Bangalore.
http://www.keylabstraining.com/hadoop-online-training-hyderabad-bangalore
Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment.
hadoop training, hadoop online training, hadoop training in bangalore, hadoop training in hyderabad, best hadoop training institutes, hadoop online training in chicago, hadoop training in mumbai, hadoop training in pune, hadoop training institutes ameerpet
Hadoop is often viewed as needing racks of dedicated boxes -despite the fact that in sheer number terms, the majority of Hadoop clusters ever created have been brought up on public cloud infrastructures -particularly Amazon`s. Yet the rest of datacenter computing is moving towards virtualization -be it in-cloud startups or in-enterprise IT departments. Some organizations are standing up private clouds: a rack or two of servers with an API for VM creation. Hadoop can live there -it just needs to integrate better. At the same time, OpenStack is emerging as the de-facto standard open source cloud platform for private use, and is available publicly from a number of cloud infrastructure service providers. This talk looks at what we`ve done -and are doing- to integrate Hadoop with OpenStack. This is taking it beyond Hadoop`s current support for Amazon`s infrastructure, making a combined Hadoop + OpenStack cluster something to consider in-house -and in-cloud. This work is being done in collaboration with members of the OpenStack community, showing how cloud and big data projects can not only co-exist, we can co-develop our platforms.
There's a big shift in both at the architecture and api level from Hadoop 1 vs Hadoop 2, particularly YARN and we had our first meetup to talk about this (http://www.meetup.com/Atlanta-YARN-User-Group/) on 10/13/2013.
Data deduplication is a hot topic in storage and saves significant disk space for many environments, with some trade offs. We’ll discuss what deduplication is and where the Open Source solutions are versus commercial offerings. Presentation will lean towards the practical – where attendees can use it in their real world projects (what works, what doesn’t, should you use in production, etcetera).
Deep dive into Ruby's require - RubyConf Taiwan 2023Hiroshi SHIBATA
Since Ruby's bundled and default gems change every year with each release, some versions may suddenly happen LoadError at require when running bundle exec or bin/rails, for example matrix or net-smtp.
In this presentation, I will introduce the details of the functionality that extends Ruby's require to provide guidance to users on what they can do to load them. And I will also show how $LOAD_PATH is build behind Ruby and Rails by Bundler.
1. If it’s not SQL, it’s not a database.
2. It takes 5+ years to build a database.
3. Listen to your users.
4. Too much magic is a bad thing.
5. It’s the cloud, stupid.
BDM37: Hadoop in production – the war stories by Nikolaï Grigoriev, Principal...Big Data Montreal
Sharing of Hadoop cluster deployment experience in production from scratch on real hardware. Brief overview of Hadoop stack, its components, major deployment and configuration challenges, performance tuning and application tuning experience. Some “war stories” about the issues we have faced while operating, the benefits of DevOps approach for running Hadoop apps.
SaltConf14 - Thomas Jackson, LinkedIn - Safety with Power ToolsSaltStack
As infrastructure scales, simple tasks become increasingly difficult. For large infrastructures to be manageable, we use automation. But automation, like any power tool, comes with its own set of risks and challenges. Automation should be handled like production code, and great care should be exercised with power tools. This talk will cover how SaltStack is used at LinkedIn and offer tips and tricks for automating management with SaltStack at massive scale including a look at LinkedIn-inspired Salt features such as blacklist and prereq states. It will also cover Salt master and minion instrumentation and a compilation of how not to use Salt.
The talk introduces JBOD setup for Apache Kafka and shows how LinkedIn can save more than 30% storage cost in Kafka by adopting JBOD setup. The talk is given during the LinkedIn Streaming meetup in May, 2017.
Apache Yetus: Helping Solve the Last Mile ProblemAllen Wittenauer
Presentation given at Apache: Big Data and ApacheCon North America 2016.
"In this time of rapidly growing software projects and software capabilities, where it is expected for “software to eat the world,” there is still a huge challenge going from source code to a tested, fully functional release. This is the “last mile problem,” ensuring that vision and coding become real, deployable software. To help address this problem, members of the extended Apache Hadoop/”big data” ecosystem have joined forces to create tools that reduce the burden of pre-commit testing, release note compilation and interface documentation. In this talk, Allen Wittenauer, a PMC member of the Apache Yetus project, will discuss the various components that make up the Yetus toolset, as well as how Apache Hadoop and other projects are using Apache Yetus to improve release quality. "
This is a slightly updated draft of a talk I was planning on giving at Hadoop Summit in 2015. However the abstract was rejected. Rather than toss it, I'm going to share it with all of you on the (almost) 1 year anniversary of the first big commit of this feature!
Keep in mind that this is (currently) locked away in trunk. If you ever want to see this see the light of day, bug your vendors....
These are the introductory slides I used (in some form or another) for the Let's Talk Operations! sessions for the 2014 Hadoop Summits. No video for this one!
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.
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
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
Goals: - Fix the performance - Make the system operationally sound
Goals: - Corporate decision to switch to Linux - Start prep for security
we use cobbler to control our kickstart installs. key features: * template engine * snippet system * RPM repo sync * both command line and programmable APIs * and, most importantly, great support for a “netboot always” environment. This means that we always have our hosts boot from the network and, if that fails, local disk. We generally always re-install the machine after a disk failure so that we can start it from a clean slate, cleaning any excess cruft and restoring any host specific parts like Kerberos keytabs. What may be surprising is that our kickstart environment serves primarily to do three things: * partition disks * get enough of the OS installed to troubleshoot a broken kickstart * bootstrap our configuration management tool
Born out of the HPC community in 2004 Python BSD License Love the community Works with everything, not just the Hadoop ecosystem Services based methodology with conflict resolution Awesome reporting engine
Goals: - Deploy secure Hadoop - Reduce user friction
A talk in and of itself Highlights: - another cultural shift - finding many bugs in what was considered stable code - forking the kerberos web filter due to poor code quality