Our team uses the Agile process - but Agile needs a meta-process to correct itself and the context/organization/environment in which it works. Here is how we do it. Change agreed upon must be doable and accountable.
Incremental change and release often is the new mantra. A team of one may handle the operability implementation for an application. Work arounds are done to get things out the door “on time” to meet the agile requirements. This person is in the center of changes ensuring that monitoring, configuration, and service expectations are coordinated. As the velocity of change increases, this single point of failure leads to slow downs. The operations engineer is viewed as the “hero” due to working late nights or weekends to keep the service running as needed. This false hero role is not sustainable and creates a rigid environment of change aversion.
In this talk, Jennifer will describe paths to supporting complex project deployment and configuration from manual heroics to minimal intervention. She will describe tools but the concepts will be applicable regardless of environment. This is not a one size fit all solution but guidelines presented should help shape direction towards success.
Topics Covered:
Where are we?
Defining the job of Operations
Identifying achievable goals
Choosing tools
Measuring for success
The key takeaway from this talk will be to help practitioners see how to create a plan towards building a more reliable, consistent, and high-quality service.
Don’t Forget About Your Past—Optimizing Apache Druid Performance With Neil Bu...HostedbyConfluent
Don’t Forget About Your Past—Optimizing Apache Druid Performance With Neil Buesing | Current 2022
Businesses need to react to results immediately; to achieve this, real-time processing is becoming a requirement in many analytic verticals. But sometimes, the move from batch to real-time can leave you in a pinch. How do you handle and correct mistakes in your data? How do you migrate a new system to real-time along with historical data?
Let’s start with how to run Apache Druid locally with your containerized-based development environment. While streaming real-time events from Kafka into Druid, an S3 Complaint Store captures messages via Kafka Connect, for historical processing. An exploration of performance implications when the real-time stream of events contains historical data and how that affects performance and the techniques to prevent those issues, leaving a high-performance analytic platform supporting real-time and historical processing.
You’ll leave with the tools of doing real-time analytic processing and historical batch processing from a single source of truth. Your Druid cluster will have better rollups (pre-computed aggregates) and fewer segments, which reduces cost and improves query performance.
Bring the Modern and Seamless User Experience You Deserve to HCL Nomadpanagenda
Webinar Recording: https://www.panagenda.com/webinars/bring-the-modern-and-seamless-user-experience-to-hcl-nomad/
HCL Nomad is the future and is expected to give a modern, seamless user experience. But you don’t achieve that out of the box. The UI can be a bit of a pain, some Domino Applications aren’t ready for it, and the annoying realities of roaming, BYOD, browsers, and multiple devices rear their ugly heads.
Join this hands-on webinar on June 06 where one of the authorities in the field, Christoph Adler, demonstrates how to provide a modern user experience that is as seamless as your workforce expects it to be. Be among the first to achieve Nomad clients that give your users what they need, work without breaking down, follow compliance guidelines, and reduce the workload of IT and support – today!
What you will learn:
- Stay on top of all devices and users in one place with automatic discovery.
- Understand Recent Applications and Workspaces in Nomad – and master them.
- Manage replication for mobile use cases and block unwanted or incompatible applications from opening on Nomad.
- How to configure Nomad for a smooth experience that honors compliance needs.
- Give users a roaming configuration that moves with them across devices, no matter what happens.
Incremental change and release often is the new mantra. A team of one may handle the operability implementation for an application. Work arounds are done to get things out the door “on time” to meet the agile requirements. This person is in the center of changes ensuring that monitoring, configuration, and service expectations are coordinated. As the velocity of change increases, this single point of failure leads to slow downs. The operations engineer is viewed as the “hero” due to working late nights or weekends to keep the service running as needed. This false hero role is not sustainable and creates a rigid environment of change aversion.
In this talk, Jennifer will describe paths to supporting complex project deployment and configuration from manual heroics to minimal intervention. She will describe tools but the concepts will be applicable regardless of environment. This is not a one size fit all solution but guidelines presented should help shape direction towards success.
Topics Covered:
Where are we?
Defining the job of Operations
Identifying achievable goals
Choosing tools
Measuring for success
The key takeaway from this talk will be to help practitioners see how to create a plan towards building a more reliable, consistent, and high-quality service.
Don’t Forget About Your Past—Optimizing Apache Druid Performance With Neil Bu...HostedbyConfluent
Don’t Forget About Your Past—Optimizing Apache Druid Performance With Neil Buesing | Current 2022
Businesses need to react to results immediately; to achieve this, real-time processing is becoming a requirement in many analytic verticals. But sometimes, the move from batch to real-time can leave you in a pinch. How do you handle and correct mistakes in your data? How do you migrate a new system to real-time along with historical data?
Let’s start with how to run Apache Druid locally with your containerized-based development environment. While streaming real-time events from Kafka into Druid, an S3 Complaint Store captures messages via Kafka Connect, for historical processing. An exploration of performance implications when the real-time stream of events contains historical data and how that affects performance and the techniques to prevent those issues, leaving a high-performance analytic platform supporting real-time and historical processing.
You’ll leave with the tools of doing real-time analytic processing and historical batch processing from a single source of truth. Your Druid cluster will have better rollups (pre-computed aggregates) and fewer segments, which reduces cost and improves query performance.
Bring the Modern and Seamless User Experience You Deserve to HCL Nomadpanagenda
Webinar Recording: https://www.panagenda.com/webinars/bring-the-modern-and-seamless-user-experience-to-hcl-nomad/
HCL Nomad is the future and is expected to give a modern, seamless user experience. But you don’t achieve that out of the box. The UI can be a bit of a pain, some Domino Applications aren’t ready for it, and the annoying realities of roaming, BYOD, browsers, and multiple devices rear their ugly heads.
Join this hands-on webinar on June 06 where one of the authorities in the field, Christoph Adler, demonstrates how to provide a modern user experience that is as seamless as your workforce expects it to be. Be among the first to achieve Nomad clients that give your users what they need, work without breaking down, follow compliance guidelines, and reduce the workload of IT and support – today!
What you will learn:
- Stay on top of all devices and users in one place with automatic discovery.
- Understand Recent Applications and Workspaces in Nomad – and master them.
- Manage replication for mobile use cases and block unwanted or incompatible applications from opening on Nomad.
- How to configure Nomad for a smooth experience that honors compliance needs.
- Give users a roaming configuration that moves with them across devices, no matter what happens.
From a student to an apache committer practice of apache io tdbjixuan1989
This talk is introduce by Xiangdong Huang, who is a PPMC of Apache IoTDB (incubating) project, at Apache Event at Tsinghua University in China.
About the Event:
The open source ecosystem plays more and more important role in the world. Open source software is widely used in operating systems, cloud computing, big data, artificial intelligence, and industrial Internet. Many companies have gradually increased their participation in the open source community. Developers with open source experience are increasingly valued and favored by large enterprises. The Apache Software Foundation is one of the most important open source communities, contributing a large number of valuable open source software and communities to the world.
The invited guests of this lecture are all from ASF community, including the chairman of the Apache Software Foundation, three Apache members, Top 5 Apache code committers (according to Apache annual report), the first Committer in the Hadoop project in China, several Apache project mentors or VPs, and many Apache Committers. They will tell you what the open source culture is, how to join the Apache open source community, and the Apache Way.
Valentyn Kropov, Big Data Solutions Architect has recently attended "Hadoop World / Strata" – biggest and coolest Big Data conference in a World, and he can't wait to share fresh trends and topics straight from New-York. Come and learn how Hadoop cluster will help NASA to explore Mars, how Netflix build 10PB platform, what are the latest trends in Spark, to learn about newest, just announced storage engine from Cloudera called Kudu and many many more interesting stuff.
Lessons Learned Running Hadoop and Spark in Docker ContainersBlueData, Inc.
Many initiatives for running applications inside containers have been scoped to run on a single host. Using Docker containers for large-scale production environments poses interesting challenges, especially when deploying distributed big data applications like Apache Hadoop and Apache Spark. This session at Strata + Hadoop World in New York City (September 2016) explores various solutions and tips to address the challenges encountered while deploying multi-node Hadoop and Spark production workloads using Docker containers.
Some of these challenges include container life-cycle management, smart scheduling for optimal resource utilization, network configuration and security, and performance. BlueData is "all in” on Docker containers—with a specific focus on big data applications. BlueData has learned firsthand how to address these challenges for Fortune 500 enterprises and government organizations that want to deploy big data workloads using Docker.
This session by Thomas Phelan, co-founder and chief architect at BlueData, discusses how to securely network Docker containers across multiple hosts and discusses ways to achieve high availability across distributed big data applications and hosts in your data center. Since we’re talking about very large volumes of data, performance is a key factor, so Thomas shares some of the storage options implemented at BlueData to achieve near bare-metal I/O performance for Hadoop and Spark using Docker as well as lessons learned and some tips and tricks on how to Dockerize your big data applications in a reliable, scalable, and high-performance environment.
http://conferences.oreilly.com/strata/hadoop-big-data-ny/public/schedule/detail/52042
Ambry is an open source object store that is responsible for storing all media content at Linkedin. This talk goes over development of Ambry at Linkedin and its architecture to some details.
The Hadoop Guarantee: Keeping Analytics Running On TimeInside Analysis
The Briefing Room with Dr. Robin Bloor and Pepperdata
Live Webcast September 15, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=32f198185d9d0c4cf32c27bdd1498b2a
Industry researchers agree: the importance of Hadoop will continue to grow as more companies recognize the range of benefits they can reap, from lower-cost storage to better business insights. At the same time, advances in the Hadoop ecosystem are addressing many of the key concerns that have hampered adoption, including performance and reliability. As a result, Hadoop is fast becoming a first-class citizen in the world of enterprise computing.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how the Hadoop ecosystem is evolving into a mature foundation for managing enterprise data. He’ll be briefed by Sean Suchter of Pepperdata, who will explain how his company’s software brings predictability and reliability to Hadoop through dynamic, policy-based controls and monitoring. He’ll show how to guarantee service-level agreements by slowing down low-priority tasks as needed. He’ll also discuss the holy grail of Hadoop: how to enable mixed workloads.
Visit InsideAnalysis.com for more information.
Since April 2016, Spark-as-a-service has been available to researchers in Sweden from the Swedish ICT SICS Data Center at www.hops.site. Researchers work in an entirely UI-driven environment on a platform built with only open-source software.
Spark applications can be either deployed as jobs (batch or streaming) or written and run directly from Apache Zeppelin. Spark applications are run within a project on a YARN cluster with the novel property that Spark applications are metered and charged to projects. Projects are also securely isolated from each other and include support for project-specific Kafka topics. That is, Kafka topics are protected from access by users that are not members of the project. In this talk we will discuss the challenges in building multi-tenant Spark streaming applications on YARN that are metered and easy-to-debug. We show how we use the ELK stack (Elasticsearch, Logstash, and Kibana) for logging and debugging running Spark streaming applications, how we use Graphana and Graphite for monitoring Spark streaming applications, and how users can debug and optimize terminated Spark Streaming jobs using Dr Elephant. We will also discuss the experiences of our users (over 120 users as of Sept 2016): how they manage their Kafka topics and quotas, patterns for how users share topics between projects, and our novel solutions for helping researchers debug and optimize Spark applications.
To conclude, we will also give an overview on our course ID2223 on Large Scale Learning and Deep Learning, in which 60 students designed and ran SparkML applications on the platform.
Spark-Streaming-as-a-Service with Kafka and YARN: Spark Summit East talk by J...Spark Summit
Since April 2016, Spark-as-a-service has been available to researchers in Sweden from the Swedish ICT SICS Data Center at www.hops.site. Researchers work in an entirely UI-driven environment on a platform built with only open-source software.
Spark applications can be either deployed as jobs (batch or streaming) or written and run directly from Apache Zeppelin. Spark applications are run within a project on a YARN cluster with the novel property that Spark applications are metered and charged to projects. Projects are also securely isolated from each other and include support for project-specific Kafka topics. That is, Kafka topics are protected from access by users that are not members of the project. In this talk we will discuss the challenges in building multi-tenant Spark streaming applications on YARN that are metered and easy-to-debug. We show how we use the ELK stack (Elasticsearch, Logstash, and Kibana) for logging and debugging running Spark streaming applications, how we use Graphana and Graphite for monitoring Spark streaming applications, and how users can debug and optimize terminated Spark Streaming jobs using Dr Elephant. We will also discuss the experiences of our users (over 120 users as of Sept 2016): how they manage their Kafka topics and quotas, patterns for how users share topics between projects, and our novel solutions for helping researchers debug and optimize Spark applications.
To conclude, we will also give an overview on our course ID2223 on Large Scale Learning and Deep Learning, in which 60 students designed and ran SparkML applications on the platform.
With the rise of microservices deployment methodology and its advantages in speed, resilience and maintainability, there is growing demand in being able to deliver Hadoop ecosystem-based applications that follow the same strategy and co-exist with other containerize applications. In this session we’ll focus on the new developments in being able to deploy Hadoop with docker-based systems and their advantages.
This presentation describes how hortonworks is delivering Hadoop on Docker for a cloud-agnostic deployment approach which presented in Cisco Live 2015.
Today, most any application can be “Dockerized.” However, there are special challenges when deploying a distributed application such as Spark on containers. This session will describe how to overcome these challenges in deploying Spark on Docker containers, with many practical tips and techniques for running Spark in a container environment.
Containers are typically used to run stateless applications on a single host. There are significant real-world enterprise requirements that need to be addressed when running a stateful, distributed application in a secure multi-host container environment.
There are decisions that need to be made concerning which tools and infrastructure to use. There are many choices with respect to container managers, orchestration frameworks, and resource schedulers that are readily available today and some that may be available tomorrow including:]
• Mesos
• Kubernetes
• Docker Swarm
Each has its own strengths and weaknesses; each has unique characteristics that may make it suitable, or unsuitable, for Spark. Understanding these differences is critical to the successful deployment of Spark on Docker containers.
This session will describe the work done by the BlueData engineering team to run Spark inside containers, on a distributed platform, including the evaluation of various orchestration frameworks and lessons learned. You will learn how to apply practical networking and storage techniques to achieve high performance and agility in a distributed, container environment.
Speaker
Thomas Phelan, Chief Architect, Blue Data, Inc
Workshop on Parallel, Cluster and Cloud Computing on Multi-core & GPU
(PCCCMG - 2015)
Workshop Conducted by
Computer Society of India
In Association with
Dept of CSE, VNIT and Persistence System Ltd, Nagpur
Workshop Dates 4th to 6th September 2015
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
From a student to an apache committer practice of apache io tdbjixuan1989
This talk is introduce by Xiangdong Huang, who is a PPMC of Apache IoTDB (incubating) project, at Apache Event at Tsinghua University in China.
About the Event:
The open source ecosystem plays more and more important role in the world. Open source software is widely used in operating systems, cloud computing, big data, artificial intelligence, and industrial Internet. Many companies have gradually increased their participation in the open source community. Developers with open source experience are increasingly valued and favored by large enterprises. The Apache Software Foundation is one of the most important open source communities, contributing a large number of valuable open source software and communities to the world.
The invited guests of this lecture are all from ASF community, including the chairman of the Apache Software Foundation, three Apache members, Top 5 Apache code committers (according to Apache annual report), the first Committer in the Hadoop project in China, several Apache project mentors or VPs, and many Apache Committers. They will tell you what the open source culture is, how to join the Apache open source community, and the Apache Way.
Valentyn Kropov, Big Data Solutions Architect has recently attended "Hadoop World / Strata" – biggest and coolest Big Data conference in a World, and he can't wait to share fresh trends and topics straight from New-York. Come and learn how Hadoop cluster will help NASA to explore Mars, how Netflix build 10PB platform, what are the latest trends in Spark, to learn about newest, just announced storage engine from Cloudera called Kudu and many many more interesting stuff.
Lessons Learned Running Hadoop and Spark in Docker ContainersBlueData, Inc.
Many initiatives for running applications inside containers have been scoped to run on a single host. Using Docker containers for large-scale production environments poses interesting challenges, especially when deploying distributed big data applications like Apache Hadoop and Apache Spark. This session at Strata + Hadoop World in New York City (September 2016) explores various solutions and tips to address the challenges encountered while deploying multi-node Hadoop and Spark production workloads using Docker containers.
Some of these challenges include container life-cycle management, smart scheduling for optimal resource utilization, network configuration and security, and performance. BlueData is "all in” on Docker containers—with a specific focus on big data applications. BlueData has learned firsthand how to address these challenges for Fortune 500 enterprises and government organizations that want to deploy big data workloads using Docker.
This session by Thomas Phelan, co-founder and chief architect at BlueData, discusses how to securely network Docker containers across multiple hosts and discusses ways to achieve high availability across distributed big data applications and hosts in your data center. Since we’re talking about very large volumes of data, performance is a key factor, so Thomas shares some of the storage options implemented at BlueData to achieve near bare-metal I/O performance for Hadoop and Spark using Docker as well as lessons learned and some tips and tricks on how to Dockerize your big data applications in a reliable, scalable, and high-performance environment.
http://conferences.oreilly.com/strata/hadoop-big-data-ny/public/schedule/detail/52042
Ambry is an open source object store that is responsible for storing all media content at Linkedin. This talk goes over development of Ambry at Linkedin and its architecture to some details.
The Hadoop Guarantee: Keeping Analytics Running On TimeInside Analysis
The Briefing Room with Dr. Robin Bloor and Pepperdata
Live Webcast September 15, 2015
Watch the Archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=32f198185d9d0c4cf32c27bdd1498b2a
Industry researchers agree: the importance of Hadoop will continue to grow as more companies recognize the range of benefits they can reap, from lower-cost storage to better business insights. At the same time, advances in the Hadoop ecosystem are addressing many of the key concerns that have hampered adoption, including performance and reliability. As a result, Hadoop is fast becoming a first-class citizen in the world of enterprise computing.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how the Hadoop ecosystem is evolving into a mature foundation for managing enterprise data. He’ll be briefed by Sean Suchter of Pepperdata, who will explain how his company’s software brings predictability and reliability to Hadoop through dynamic, policy-based controls and monitoring. He’ll show how to guarantee service-level agreements by slowing down low-priority tasks as needed. He’ll also discuss the holy grail of Hadoop: how to enable mixed workloads.
Visit InsideAnalysis.com for more information.
Since April 2016, Spark-as-a-service has been available to researchers in Sweden from the Swedish ICT SICS Data Center at www.hops.site. Researchers work in an entirely UI-driven environment on a platform built with only open-source software.
Spark applications can be either deployed as jobs (batch or streaming) or written and run directly from Apache Zeppelin. Spark applications are run within a project on a YARN cluster with the novel property that Spark applications are metered and charged to projects. Projects are also securely isolated from each other and include support for project-specific Kafka topics. That is, Kafka topics are protected from access by users that are not members of the project. In this talk we will discuss the challenges in building multi-tenant Spark streaming applications on YARN that are metered and easy-to-debug. We show how we use the ELK stack (Elasticsearch, Logstash, and Kibana) for logging and debugging running Spark streaming applications, how we use Graphana and Graphite for monitoring Spark streaming applications, and how users can debug and optimize terminated Spark Streaming jobs using Dr Elephant. We will also discuss the experiences of our users (over 120 users as of Sept 2016): how they manage their Kafka topics and quotas, patterns for how users share topics between projects, and our novel solutions for helping researchers debug and optimize Spark applications.
To conclude, we will also give an overview on our course ID2223 on Large Scale Learning and Deep Learning, in which 60 students designed and ran SparkML applications on the platform.
Spark-Streaming-as-a-Service with Kafka and YARN: Spark Summit East talk by J...Spark Summit
Since April 2016, Spark-as-a-service has been available to researchers in Sweden from the Swedish ICT SICS Data Center at www.hops.site. Researchers work in an entirely UI-driven environment on a platform built with only open-source software.
Spark applications can be either deployed as jobs (batch or streaming) or written and run directly from Apache Zeppelin. Spark applications are run within a project on a YARN cluster with the novel property that Spark applications are metered and charged to projects. Projects are also securely isolated from each other and include support for project-specific Kafka topics. That is, Kafka topics are protected from access by users that are not members of the project. In this talk we will discuss the challenges in building multi-tenant Spark streaming applications on YARN that are metered and easy-to-debug. We show how we use the ELK stack (Elasticsearch, Logstash, and Kibana) for logging and debugging running Spark streaming applications, how we use Graphana and Graphite for monitoring Spark streaming applications, and how users can debug and optimize terminated Spark Streaming jobs using Dr Elephant. We will also discuss the experiences of our users (over 120 users as of Sept 2016): how they manage their Kafka topics and quotas, patterns for how users share topics between projects, and our novel solutions for helping researchers debug and optimize Spark applications.
To conclude, we will also give an overview on our course ID2223 on Large Scale Learning and Deep Learning, in which 60 students designed and ran SparkML applications on the platform.
With the rise of microservices deployment methodology and its advantages in speed, resilience and maintainability, there is growing demand in being able to deliver Hadoop ecosystem-based applications that follow the same strategy and co-exist with other containerize applications. In this session we’ll focus on the new developments in being able to deploy Hadoop with docker-based systems and their advantages.
This presentation describes how hortonworks is delivering Hadoop on Docker for a cloud-agnostic deployment approach which presented in Cisco Live 2015.
Today, most any application can be “Dockerized.” However, there are special challenges when deploying a distributed application such as Spark on containers. This session will describe how to overcome these challenges in deploying Spark on Docker containers, with many practical tips and techniques for running Spark in a container environment.
Containers are typically used to run stateless applications on a single host. There are significant real-world enterprise requirements that need to be addressed when running a stateful, distributed application in a secure multi-host container environment.
There are decisions that need to be made concerning which tools and infrastructure to use. There are many choices with respect to container managers, orchestration frameworks, and resource schedulers that are readily available today and some that may be available tomorrow including:]
• Mesos
• Kubernetes
• Docker Swarm
Each has its own strengths and weaknesses; each has unique characteristics that may make it suitable, or unsuitable, for Spark. Understanding these differences is critical to the successful deployment of Spark on Docker containers.
This session will describe the work done by the BlueData engineering team to run Spark inside containers, on a distributed platform, including the evaluation of various orchestration frameworks and lessons learned. You will learn how to apply practical networking and storage techniques to achieve high performance and agility in a distributed, container environment.
Speaker
Thomas Phelan, Chief Architect, Blue Data, Inc
Workshop on Parallel, Cluster and Cloud Computing on Multi-core & GPU
(PCCCMG - 2015)
Workshop Conducted by
Computer Society of India
In Association with
Dept of CSE, VNIT and Persistence System Ltd, Nagpur
Workshop Dates 4th to 6th September 2015
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
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Kseniya Leshchenko: Shared development support service model as the way to ma...Lviv Startup Club
Kseniya Leshchenko: Shared development support service model as the way to make small projects with small budgets profitable for the company (UA)
Kyiv PMDay 2024 Summer
Website – www.pmday.org
Youtube – https://www.youtube.com/startuplviv
FB – https://www.facebook.com/pmdayconference
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Company Valuation webinar series - Tuesday, 4 June 2024FelixPerez547899
This session provided an update as to the latest valuation data in the UK and then delved into a discussion on the upcoming election and the impacts on valuation. We finished, as always with a Q&A
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
2. Cr0wB4R~!
What What!?
Rails wrapper around CMDBs
Bare-Metal Provisioner
Product Deployer
(OpenStack and Hadoop)
Pull From Source
Reference Architectures
QA-ed by Dell
4. Sprints!
Sprint length dependent upon Agreed
Deliverables and availability.
The shorter the better.
Sprint Length Flexible based on Customer Demands