This document discusses cloud computing and how it can reduce costs. It defines cloud computing as using computing resources over the internet rather than local personal computers. Some key benefits of cloud computing are that it requires no maintenance of hardware, always has up-to-date software and calibrations, and avoids hardware problems. Cloud computing can reduce costs by paying for resources as they are consumed, having no hardware upgrade costs, and allowing a focus on work rather than IT processes. Examples of cloud services include Google Docs, Microsoft SkyDrive, and Dropbox.
Effective Cost Management for Amazon EMRDevOps.com
Amazon EMR has become very popular as a cloud native platform for big data. However, customers are finding unexpected costs eating into their cloud budget. Furthermore, lack of visibility to root cause and general inefficiency is costing organizations thousands, if not millions in operating their Amazon EMR environment.
Join AWS and Unravel to discover best practices to effectively manage costs on Amazon EMR. We will discuss:
Advantages of running Spark and Hadoop on Amazon EMR;
Top 5 contributors to cost overruns in Amazon EMR;
Best practices to manage Amazon EMR costs with Unravel.
Slides from the partner event that I spoke at on the 24 April 2014. Includes and introduction to AWS and details of common adoption patterns for Enterprises that are moving to the cloud
(ENT207) Creating a Culture of Cost Management in Your Organization | AWS re:...Amazon Web Services
As your organization increases its AWS usage, budget owners and users demand new levels of cost visibility.
This session explains how scaled organizations control and optimize their AWS spending as usage increases across multiple product teams. Attendees walk away with a strategy for driving cost effective behavior across the entire organization, from engineering to finance. Sponsored by Cloudability.
Topics include:
- Maintaining cost oversight while giving autonomy to individual teams
- Allocating costs across dozens or hundreds of accounts or applications
- Creating accountability around spending habits and waste
- Tying cloud spending to the bottom line
AWS re:Invent 2016: How Higher Ed Graduated from Traditional Desktops to DaaS...Amazon Web Services
The document discusses how higher education institutions like UMUC and George Washington University have transitioned from traditional desktops to using Amazon WorkSpaces as a cloud desktop solution. It provides examples of how the schools are using WorkSpaces to provide faculty, staff and students access to applications from anywhere, and to manage desktops securely. UMUC discusses projects using WorkSpaces to provide specialized software access for academic experiences and in classrooms. GWU shares how WorkSpaces helped support the needs of faculty, staff and students both on and off campus. The panel discusses the benefits of WorkSpaces like cost control, easy setup and provisioning, and a unified user experience.
Insight to Action Visibility, Optimization & Governance for Your AWS Cloud En...Amazon Web Services
Learn from an Industry Expert how the biggest AWS customers are Improving Total Cost of Ownership and are realizing Cost Savings and Service Management through CloudHealth’s platform.
This document discusses cloud computing and how it can reduce costs. It defines cloud computing as using computing resources over the internet rather than local personal computers. Some key benefits of cloud computing are that it requires no maintenance of hardware, always has up-to-date software and calibrations, and avoids hardware problems. Cloud computing can reduce costs by paying for resources as they are consumed, having no hardware upgrade costs, and allowing a focus on work rather than IT processes. Examples of cloud services include Google Docs, Microsoft SkyDrive, and Dropbox.
Effective Cost Management for Amazon EMRDevOps.com
Amazon EMR has become very popular as a cloud native platform for big data. However, customers are finding unexpected costs eating into their cloud budget. Furthermore, lack of visibility to root cause and general inefficiency is costing organizations thousands, if not millions in operating their Amazon EMR environment.
Join AWS and Unravel to discover best practices to effectively manage costs on Amazon EMR. We will discuss:
Advantages of running Spark and Hadoop on Amazon EMR;
Top 5 contributors to cost overruns in Amazon EMR;
Best practices to manage Amazon EMR costs with Unravel.
Slides from the partner event that I spoke at on the 24 April 2014. Includes and introduction to AWS and details of common adoption patterns for Enterprises that are moving to the cloud
(ENT207) Creating a Culture of Cost Management in Your Organization | AWS re:...Amazon Web Services
As your organization increases its AWS usage, budget owners and users demand new levels of cost visibility.
This session explains how scaled organizations control and optimize their AWS spending as usage increases across multiple product teams. Attendees walk away with a strategy for driving cost effective behavior across the entire organization, from engineering to finance. Sponsored by Cloudability.
Topics include:
- Maintaining cost oversight while giving autonomy to individual teams
- Allocating costs across dozens or hundreds of accounts or applications
- Creating accountability around spending habits and waste
- Tying cloud spending to the bottom line
AWS re:Invent 2016: How Higher Ed Graduated from Traditional Desktops to DaaS...Amazon Web Services
The document discusses how higher education institutions like UMUC and George Washington University have transitioned from traditional desktops to using Amazon WorkSpaces as a cloud desktop solution. It provides examples of how the schools are using WorkSpaces to provide faculty, staff and students access to applications from anywhere, and to manage desktops securely. UMUC discusses projects using WorkSpaces to provide specialized software access for academic experiences and in classrooms. GWU shares how WorkSpaces helped support the needs of faculty, staff and students both on and off campus. The panel discusses the benefits of WorkSpaces like cost control, easy setup and provisioning, and a unified user experience.
Insight to Action Visibility, Optimization & Governance for Your AWS Cloud En...Amazon Web Services
Learn from an Industry Expert how the biggest AWS customers are Improving Total Cost of Ownership and are realizing Cost Savings and Service Management through CloudHealth’s platform.
Runa is a SaaS startup that uses machine learning and big data techniques to dynamically insert personalized promotions on e-commerce merchants' websites in real-time. They capture activity data from every merchant page view and store it indefinitely as the number of merchants grows. Their tech challenges include handling the step function increase in data from adding merchants, batch processing for analytics, and real-time rule-based promotions. They initially prototyped on AWS for its flexibility and low costs, and have since incrementally added more scalable technologies like Hadoop, HBase, and Chef on AWS to handle their growing infrastructure needs.
Joe Ziegler discusses how AWS and Elastic Beanstalk can help startups get their minimum viable product (MVP) to market fast and cost effectively. Elastic Beanstalk allows developers to focus on their application without worrying about infrastructure configuration by automatically provisioning and scaling all necessary AWS resources. It also integrates with common programming languages and development tools. Using AWS' free tier and low-cost instances, startups can develop, test, and launch an initial public release of their application for as little as $250 over 3 months.
The document discusses how Amazon Web Services provides cloud-based desktop and application services that can benefit the education sector. It introduces Amazon WorkSpaces which allows secure access to virtual desktops from any device, and Amazon AppStream 2.0 for streaming desktop applications to any browser. These services can help schools reduce costs, provide equitable access to resources, and securely deliver applications and coursework to both classroom and distance learners. Use cases highlighted include computer labs, research, flexible learning, and improving student engagement.
ESRI UC 2010 - ArcGIS Server Virtualization and High-Performance ComputingSherwin Faria
Presentation by Sherwin Faria for the 2010 ESRI User Conference in San Diego California on July 13, 2010. Describes the use of ArcGIS in an HPC environment.
McGraw-Hill Education (MHE) is moving to the cloud to enable global delivery, improve user experience, reduce costs, streamline processes, and automate operations. When selecting a partner, MHE required deep AWS expertise, a global delivery footprint, the ability to meet hybrid infrastructure requirements, strong security and resiliency, and superior support. MHE's cloud journey involved planning applications for AWS, designing a hybrid architecture, and going live globally while testing extensively and establishing governance over the hybrid environment. Ongoing management includes a cloud management portal, analytics, and governance/change control.
Utilizing Human Data Validation For KPI Analysis And Machine LearningJen Aman
This document discusses utilizing human data validation for key performance indicator (KPI) analysis and machine learning. It describes Radius Intelligence's use of human validation of business data to establish ground truths for training machine learning models and evaluating data sources. While human validation provides benefits, it also incurs costs in money, time, and potential issues between validation teams and data science teams. The document outlines strategies for minimizing validation costs while meeting downstream needs through experimentation and multiple-consumer sampling techniques.
Scalability for Startups (Frank Mashraqi, Startonomics SF 2008)Dealmaker Media
This document provides strategies for startup scalability. It discusses measuring key metrics, choosing between performance, availability and scalability, scaling vertically or horizontally, partitioning data, balancing workloads, hiring the right team, and outsourcing scalability to the cloud. The key takeaways are to focus on scalability from the start, scale horizontally, go asynchronous, choose consistency or availability depending on needs, measure and address utilization before performance, and invest in the right infrastructure and skills.
RightScale News November 2013: Launch of Cloud AnalyticsRightScale
On November 7, 2013 RightScale announced Cloud Analytics, a new enterprise-grade cost management solution that provides sophisticated cloud usage and cost analysis as well as forecasting and scenario planning across major public and private clouds. Cloud Analytics is integrated with the RightScale Cloud Management platform, providing a mechanism for enterprises to quickly execute optimizations to their cloud portfolio.
Agile Transformation as a Catalyst for Cloud Adoption AWS Summit SG 2017Amazon Web Services
Agile methods have evolved in response to the incredible and increasing pace of technological change and have transformed the world of software delivery. Agile businesses have shortened the time between idea and implementation to achieve rapid market feedback as input to subsequent release cycles. Cloud solutions provide the rapid provisioning, on demand scaling, automation capabilities, and other features of flexibility required for agile businesses. The relentless pace of change driving agile transformation is therefore serving as an additional catalyst for cloud adoption on top of typical drivers such as cost reduction.
REA have taken an innovative approach to building strong financial management across their infrastructure team. The visibility and ownership of costs has been improved through modifying team structure, interactive finance processes, budgeting operations and improved cost management behaviours. Hear from both an operational and finance perspective the value delivered and lessons learnt by REA on this FinOps journey.
Speakers:
Katerina Martianova, Commercial Manager - IT, REA Group
Javier Turegano, Global Infrastructure and Architecture Manager, REA Group
The document provides an agenda and summaries from a cloud computing event. It includes:
- Introductions from leaders of companies that have adopted cloud computing like MINEMAN and Present Group, describing their experiences migrating to the cloud.
- A discussion of typical adoption processes, benefits of cloud like flexibility and cost savings, and the future of cloud computing including automation, serverless architecture, and business agility.
- An Amazon Web Services representative discusses how AWS supports automation, DevOps practices, and helps companies gain business agility through scalable cloud services.
Strategies For Lasting Savings With AWS Reserved InstancesCloudability
Buying AWS Reserved Instances is just the beginning. You need a strategy that will help adjust your reservation portfolio to keep in-line with changes in your AWS usage.
In this session, we'll show you an iterative approach to buying and modifying Reserved Instances that stay aligned with your evolving infrastructure needs over time.
Topics include:
Speeding up your reservation buying process
Leveraging small, frequent purchases and modifications
Building a Reserved-Instance-friendly architecture
How to get the most out of your cloud - Microsoft Cloud DayCloudyn
Organized by Microsoft Israel R&D Center, this MS cloud event represents the first of its kind for start-ups in Israel. Cloud Day brought thought leaders together, including Cloudyn's CEO, Sharon Wagner, to provide real insights and know-how on all the latest cloud computing.
Keep Cloud Transformation on Track: Nine Best Practices to Avoid or Break Thr...Amazon Web Services
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
Creating a Culture of Cost Management in Your OrganizationAmazon Web Services
As your organization increases its AWS usage, budget owners and users demand new levels of cost visibility. This session explains how scaled organizations control and optimize their AWS spending as usage increases across multiple product teams. Attendees walk away with a strategy for driving cost effective behavior across the entire organization, from engineering to finance. Topics include: - Maintaining cost oversight while giving autonomy to individual teams - Allocating costs across dozens or hundreds of accounts or applications - Creating accountability around spending habits and waste - Tying cloud spending to the bottom line
This document discusses moving data warehousing to the cloud with Pivotal Greenplum. It recommends obeying the laws of data gravity by leaving data where it is generated, adopting a software data warehouse that can run anywhere, and separating compute and storage. It positions Greenplum as a massively parallel, open source data warehouse that can run on-premises, in the cloud, or in hybrid environments with real separation of compute and storage. The document provides examples of customers successfully using Greenplum in the cloud at AWS for analytics, reporting, and migrating workloads from legacy data warehouses.
This document discusses how cloud computing with AWS enables innovation. It highlights how AWS provides scalable infrastructure that allows companies to focus on their core business instead of managing servers. AWS offers a variety of services that help companies get started easily and remove barriers to experimentation. The cloud allows for rapid scaling, real-time analytics, and increased agility that traditional infrastructure cannot match.
Despite the movement of Critical Applications to the Cloud prior to 2010, Companies had a lot of Trepidation about moving their Security there. The Traditional Hub-and-Spoke model provided a sense of Comfort and Control. But now, this Trepidation has given way to Urgency.
Creating a Culture of Cost Management in Your OrganizationAmazon Web Services
"As your organization increases its AWS usage, budget owners and users demand new levels of cost visibility. This session explains how scaled organizations control and optimize their AWS spending as usage increases across multiple product teams. Attendees walk away with a strategy for driving cost effective behavior across the entire organization, from engineering to finance.
Topics include:
- Maintaining cost oversight while giving autonomy to individual teams
- Allocating costs across dozens or hundreds of accounts or applications
- Creating accountability around spending habits and waste
- Tying cloud spending to the bottom line"
eHarmony used Amazon Web Services (AWS) like EC2 and Hadoop on EMR to build a scalable solution for processing large amounts of user data to power their online matchmaking services. This allowed them to overcome limitations of their existing infrastructure and realize significant cost savings compared to managing everything on-premises. Some challenges included ensuring reliability of each stage of processing and handling failures, as well as reducing data shuffling times between MapReduce jobs.
Apache Hadoop India Summit 2011 talk "Making Hadoop Enterprise Ready with Am...Yahoo Developer Network
1) Amazon Elastic MapReduce enables customers to easily process vast amounts of data by launching Hadoop clusters across AWS infrastructure.
2) It provides features for managing, monitoring, and debugging Hadoop jobs and clusters without the operational complexities of Hadoop.
3) New features were announced that provide more flexibility for enterprises including expanding and shrinking running clusters, using spot instances to reduce costs, and additional support options.
Runa is a SaaS startup that uses machine learning and big data techniques to dynamically insert personalized promotions on e-commerce merchants' websites in real-time. They capture activity data from every merchant page view and store it indefinitely as the number of merchants grows. Their tech challenges include handling the step function increase in data from adding merchants, batch processing for analytics, and real-time rule-based promotions. They initially prototyped on AWS for its flexibility and low costs, and have since incrementally added more scalable technologies like Hadoop, HBase, and Chef on AWS to handle their growing infrastructure needs.
Joe Ziegler discusses how AWS and Elastic Beanstalk can help startups get their minimum viable product (MVP) to market fast and cost effectively. Elastic Beanstalk allows developers to focus on their application without worrying about infrastructure configuration by automatically provisioning and scaling all necessary AWS resources. It also integrates with common programming languages and development tools. Using AWS' free tier and low-cost instances, startups can develop, test, and launch an initial public release of their application for as little as $250 over 3 months.
The document discusses how Amazon Web Services provides cloud-based desktop and application services that can benefit the education sector. It introduces Amazon WorkSpaces which allows secure access to virtual desktops from any device, and Amazon AppStream 2.0 for streaming desktop applications to any browser. These services can help schools reduce costs, provide equitable access to resources, and securely deliver applications and coursework to both classroom and distance learners. Use cases highlighted include computer labs, research, flexible learning, and improving student engagement.
ESRI UC 2010 - ArcGIS Server Virtualization and High-Performance ComputingSherwin Faria
Presentation by Sherwin Faria for the 2010 ESRI User Conference in San Diego California on July 13, 2010. Describes the use of ArcGIS in an HPC environment.
McGraw-Hill Education (MHE) is moving to the cloud to enable global delivery, improve user experience, reduce costs, streamline processes, and automate operations. When selecting a partner, MHE required deep AWS expertise, a global delivery footprint, the ability to meet hybrid infrastructure requirements, strong security and resiliency, and superior support. MHE's cloud journey involved planning applications for AWS, designing a hybrid architecture, and going live globally while testing extensively and establishing governance over the hybrid environment. Ongoing management includes a cloud management portal, analytics, and governance/change control.
Utilizing Human Data Validation For KPI Analysis And Machine LearningJen Aman
This document discusses utilizing human data validation for key performance indicator (KPI) analysis and machine learning. It describes Radius Intelligence's use of human validation of business data to establish ground truths for training machine learning models and evaluating data sources. While human validation provides benefits, it also incurs costs in money, time, and potential issues between validation teams and data science teams. The document outlines strategies for minimizing validation costs while meeting downstream needs through experimentation and multiple-consumer sampling techniques.
Scalability for Startups (Frank Mashraqi, Startonomics SF 2008)Dealmaker Media
This document provides strategies for startup scalability. It discusses measuring key metrics, choosing between performance, availability and scalability, scaling vertically or horizontally, partitioning data, balancing workloads, hiring the right team, and outsourcing scalability to the cloud. The key takeaways are to focus on scalability from the start, scale horizontally, go asynchronous, choose consistency or availability depending on needs, measure and address utilization before performance, and invest in the right infrastructure and skills.
RightScale News November 2013: Launch of Cloud AnalyticsRightScale
On November 7, 2013 RightScale announced Cloud Analytics, a new enterprise-grade cost management solution that provides sophisticated cloud usage and cost analysis as well as forecasting and scenario planning across major public and private clouds. Cloud Analytics is integrated with the RightScale Cloud Management platform, providing a mechanism for enterprises to quickly execute optimizations to their cloud portfolio.
Agile Transformation as a Catalyst for Cloud Adoption AWS Summit SG 2017Amazon Web Services
Agile methods have evolved in response to the incredible and increasing pace of technological change and have transformed the world of software delivery. Agile businesses have shortened the time between idea and implementation to achieve rapid market feedback as input to subsequent release cycles. Cloud solutions provide the rapid provisioning, on demand scaling, automation capabilities, and other features of flexibility required for agile businesses. The relentless pace of change driving agile transformation is therefore serving as an additional catalyst for cloud adoption on top of typical drivers such as cost reduction.
REA have taken an innovative approach to building strong financial management across their infrastructure team. The visibility and ownership of costs has been improved through modifying team structure, interactive finance processes, budgeting operations and improved cost management behaviours. Hear from both an operational and finance perspective the value delivered and lessons learnt by REA on this FinOps journey.
Speakers:
Katerina Martianova, Commercial Manager - IT, REA Group
Javier Turegano, Global Infrastructure and Architecture Manager, REA Group
The document provides an agenda and summaries from a cloud computing event. It includes:
- Introductions from leaders of companies that have adopted cloud computing like MINEMAN and Present Group, describing their experiences migrating to the cloud.
- A discussion of typical adoption processes, benefits of cloud like flexibility and cost savings, and the future of cloud computing including automation, serverless architecture, and business agility.
- An Amazon Web Services representative discusses how AWS supports automation, DevOps practices, and helps companies gain business agility through scalable cloud services.
Strategies For Lasting Savings With AWS Reserved InstancesCloudability
Buying AWS Reserved Instances is just the beginning. You need a strategy that will help adjust your reservation portfolio to keep in-line with changes in your AWS usage.
In this session, we'll show you an iterative approach to buying and modifying Reserved Instances that stay aligned with your evolving infrastructure needs over time.
Topics include:
Speeding up your reservation buying process
Leveraging small, frequent purchases and modifications
Building a Reserved-Instance-friendly architecture
How to get the most out of your cloud - Microsoft Cloud DayCloudyn
Organized by Microsoft Israel R&D Center, this MS cloud event represents the first of its kind for start-ups in Israel. Cloud Day brought thought leaders together, including Cloudyn's CEO, Sharon Wagner, to provide real insights and know-how on all the latest cloud computing.
Keep Cloud Transformation on Track: Nine Best Practices to Avoid or Break Thr...Amazon Web Services
Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.
Creating a Culture of Cost Management in Your OrganizationAmazon Web Services
As your organization increases its AWS usage, budget owners and users demand new levels of cost visibility. This session explains how scaled organizations control and optimize their AWS spending as usage increases across multiple product teams. Attendees walk away with a strategy for driving cost effective behavior across the entire organization, from engineering to finance. Topics include: - Maintaining cost oversight while giving autonomy to individual teams - Allocating costs across dozens or hundreds of accounts or applications - Creating accountability around spending habits and waste - Tying cloud spending to the bottom line
This document discusses moving data warehousing to the cloud with Pivotal Greenplum. It recommends obeying the laws of data gravity by leaving data where it is generated, adopting a software data warehouse that can run anywhere, and separating compute and storage. It positions Greenplum as a massively parallel, open source data warehouse that can run on-premises, in the cloud, or in hybrid environments with real separation of compute and storage. The document provides examples of customers successfully using Greenplum in the cloud at AWS for analytics, reporting, and migrating workloads from legacy data warehouses.
This document discusses how cloud computing with AWS enables innovation. It highlights how AWS provides scalable infrastructure that allows companies to focus on their core business instead of managing servers. AWS offers a variety of services that help companies get started easily and remove barriers to experimentation. The cloud allows for rapid scaling, real-time analytics, and increased agility that traditional infrastructure cannot match.
Despite the movement of Critical Applications to the Cloud prior to 2010, Companies had a lot of Trepidation about moving their Security there. The Traditional Hub-and-Spoke model provided a sense of Comfort and Control. But now, this Trepidation has given way to Urgency.
Creating a Culture of Cost Management in Your OrganizationAmazon Web Services
"As your organization increases its AWS usage, budget owners and users demand new levels of cost visibility. This session explains how scaled organizations control and optimize their AWS spending as usage increases across multiple product teams. Attendees walk away with a strategy for driving cost effective behavior across the entire organization, from engineering to finance.
Topics include:
- Maintaining cost oversight while giving autonomy to individual teams
- Allocating costs across dozens or hundreds of accounts or applications
- Creating accountability around spending habits and waste
- Tying cloud spending to the bottom line"
eHarmony used Amazon Web Services (AWS) like EC2 and Hadoop on EMR to build a scalable solution for processing large amounts of user data to power their online matchmaking services. This allowed them to overcome limitations of their existing infrastructure and realize significant cost savings compared to managing everything on-premises. Some challenges included ensuring reliability of each stage of processing and handling failures, as well as reducing data shuffling times between MapReduce jobs.
Apache Hadoop India Summit 2011 talk "Making Hadoop Enterprise Ready with Am...Yahoo Developer Network
1) Amazon Elastic MapReduce enables customers to easily process vast amounts of data by launching Hadoop clusters across AWS infrastructure.
2) It provides features for managing, monitoring, and debugging Hadoop jobs and clusters without the operational complexities of Hadoop.
3) New features were announced that provide more flexibility for enterprises including expanding and shrinking running clusters, using spot instances to reduce costs, and additional support options.
AWS Partner Webcast - Hadoop in the Cloud: Unlocking the Potential of Big Dat...Amazon Web Services
Amazon Elastic MapReduce (Amazon EMR) makes it easy to provision and manage Hadoop in the AWS Cloud. Hadoop is available in multiple distributions and Amazon EMR gives you the option of using the Amazon Distribution or the MapR Distribution for Hadoop.
This webinar will show you examples of how to use Amazon EMR to with the MapR Distribution for Hadoop. You will learn how you can free yourself from the heavy lifting required to run Hadoop on-premises, and gain the advantages of using the cloud to increase flexibility and accelerate projects while lowering costs.
What we'll learn:
• See a live demonstration of how you can quickly and easily launch your first Hadoop cluster in a few steps.
• Examples of real world applications and customer successes in production
• Best practices for maximizing the benefits of using MapR with AWS.
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with HadoopPrecisely
With so many new, evolving frameworks, tools, and languages, a new big data project can lead to confusion and unwarranted risk.
Many organizations have found Data Warehouse Optimization with Hadoop to be a good starting point on their Big Data journey. Offloading ETL workloads from the enterprise data warehouse (EDW) into Hadoop is a well-defined use case that produces tangible results for driving more insights while lowering costs. You gain significant business agility, avoid costly EDW upgrades, and free up EDW capacity for faster queries. This quick win builds credibility and generates savings to reinvest in more Big Data projects.
A proven reference architecture that includes everything you need in a turnkey solution – the Hadoop distribution, data integration software, servers, networking and services – makes it even easier to get started.
The document discusses using Attunity Replicate to accelerate loading and integrating big data into Microsoft's Analytics Platform System (APS). Attunity Replicate provides real-time change data capture and high-performance data loading from various sources into APS. It offers a simplified and automated process for getting data into APS to enable analytics and business intelligence. Case studies are presented showing how major companies have used APS and Attunity Replicate to improve analytics and gain business insights from their data.
SendGrid Improves Email Delivery with Hybrid Data WarehousingAmazon Web Services
When you received your Uber ‘Tuesday Evening Ride Receipt’ or Spotify’s ‘This Week’s New Music’ email, did you think about how they got there?
SendGrid’s reliable email platform delivers each month over 20 Billion transactional and marketing emails on behalf of many of your favorite brands, including Uber, Airbnb, Spotify, Foursquare and NextDoor.
SendGrid was looking to evolve its data warehouse architecture in order to improve decision making and optimize customer experience. They needed a scalable and reliable architecture that would allow them to move nimbly and efficiently with a relatively small IT organization, while supporting the needs of both business and technical users at SendGrid.
SendGrid’s Director of Enterprise Data Operations will be joining architects from Amazon Web Services (AWS) and Informatica to discuss SendGrid’s journey to a hybrid cloud architecture and how a hybrid data warehousing solution is optimized to support SendGrid’s analytics initiative. Speakers will also review common technologies and use cases being deployed in hybrid cloud today, common data management challenges in hybrid cloud and best practices for addressing these challenges.
Join us to learn:
• How to evolve to a hybrid data warehouse with Amazon Redshift for scalability, agility and cost efficiency with minimal IT resources
• Hybrid cloud data management use cases
• Best practices for addressing hybrid cloud data management challenges
This document summarizes a presentation given at AWS re:Invent 2017 about optimizing design and engineering performance in the cloud. The presentation covered deploying CAD/CAE/EDA applications in the cloud, optimizing storage and compute, managing technical software, enabling remote graphics and collaboration. It also included a case study from Hiroshi Kobayashi of Western Digital describing their use of AWS for CPU and GPU clusters to optimize product design.
AWS for Semiconductor and Electronics Design | Hsinchu, April 10Amazon Web Services
This document summarizes an agenda for an AWS event on using cloud computing for semiconductor and electronics applications. The agenda includes presentations on using AWS for design and simulation, global collaboration, and big data analytics in manufacturing. Key themes discussed are using the cloud for scalability to enable faster simulations with higher accuracy, global collaboration for improved IP security and efficiency, and agility to quickly adapt cloud resources to changing needs. The cloud is presented as a way to improve innovation through more frequent experimentation at lower cost compared to traditional on-premises infrastructure. Case studies are provided of customers using AWS for applications like electronic design automation and manufacturing yield analysis.
This document summarizes key metrics and information from Mike Clayville, VP of Worldwide Field Operations and Business Development at Amazon Web Services. The summary includes:
1) AWS saw strong year-over-year growth in usage of their core services like S3 and EC2 between 2013 and 2014, with over a million active customers globally using AWS.
2) AWS launched over 500 new features and services in 2014 alone, continuing their rapid pace of innovation. This allows customers to use AWS for a wide variety of workloads and applications across industries from startups to enterprises.
3) More customers are adopting cloud-based approaches like AWS for new applications, digital transformation efforts, and data analytics using a broad suite
AWS Enterprise Day | Running Critical Business Applications on AWSAmazon Web Services
The Cloud Journey for many enterprise customers starts with an initial migration of websites and mobile applications to AWS, followed by deployment of their critical business services. These services, such as SAP and Oracle, are typically more complex and underpin many business processes in the customer's organisation and may be deployed as hybrid solutions, integrated closely with other internal and external services. To do this, customers need to have fast and reliable connectivity to existing on-premise networks, as we covered in the previous session. Let's look at how we can now build on that to help you understand the benefits that many customers have achieved when they moved their business applications to AWS.
Feb 2024 Apache Hudi Community Sync with Daniel Fordnadine39280
In this presentation, Daniel will walk through his journey through his experiences with Apache Hudi and the Hudi Streamer, exploring everything from their initial requirements and outputs, their past and current challenges, and their ideas for their future Hudi usage. He'll talk about their Hudi integrations and how it has impacted their data extraction and loading processes. Join us on Wednesday, February 28th at 9 am PT to hear how Hudi has revolutionized Funding Circle's data infrastructure.
catch the live event
https://youtu.be/P29dfaxUdTU
The document discusses agile approaches to data warehousing and big data technologies. It describes traditional data warehousing as brittle and costly to modify. An agile approach uses reusable ETL modules and a hyper-normalized integration layer to flexibly adapt to changing requirements. Big data technologies like Hadoop, NoSQL databases, and cloud-based data warehouses are also discussed as enabling flexible and cost-effective options for large and evolving data and analytics needs.
The document discusses new rules and strategies for retailers in an evolving customer relationship landscape. It notes there are now 56 touchpoints between a customer's moment of inspiration and transaction. It then discusses components of digital transformation like customer experience management, cross-channel order orchestration, and building a single customer view. The document outlines how retailers can create customer connections and profiles by leveraging enterprise data. It also discusses the need for customer engagement in stores through technologies like self-scanning and mobile payments. Finally, it discusses how front-end store technologies can empower associates and optimize processes.
AMF304-Optimizing Design and Engineering Performance in the Cloud for Manufac...Amazon Web Services
Manufacturing companies in all sectors—including automotive, aerospace, semiconductor, and industrial manufacturing—rely on design and engineering software in their product development processes. These computationally-intensive applications—such as computer-aided design and engineering (CAD and CAE), electronic design automation (EDA), other performance-critical applications—require immense scale and orchestration to meet the demands of today’s manufacturing requirements. In this session, you learn how to achieve the maximum possible performance and throughput from design and engineering workloads running on Amazon EC2, elastic GPUs, and managed services such as AWS Batch and Amazon AppStream 2.0. We demonstrate specific optimization techniques and share samples on how to accelerate batch and interactive workloads on AWS. We also demonstrate how to extend and migrate on-premises, high performance compute workloads with AWS, and use a combination of On-Demand Instances, Reserved Instances, and Spot Instances to minimize costs.
Traditional BI promises security and scale, but at what cost? Often, working with data, finding answers and sharing them can be laborious and time intensive. The rapid growth and maturation of cloud technologies offers an easier path.
With Tableau and AWS you can move your BI to the cloud and deliver the security and scale of your traditional BI, but with accessibility, flexibility, and speed. Take a closer look at the benefits of cloud BI, and how you can get started today.
Client approaches to successfully navigate through the big data stormIBM Analytics
Hadoop is not a platform for data integration: As a result, some organizations turn to hand coding for integration – or end up deploying solutions that aren’t fully scalable. Review this Slideshare to learn about IBM client best practices for Big Data Integration success.
This document discusses Amazon Web Services (AWS) and the cloud computing industry. It notes that AWS has over 1 million active customers, saw significant year-over-year growth in usage of services like S3 and EC2, and launched over 500 new features in 2014. It discusses how both enterprises and startups are using AWS for applications, digital transformation, and to build businesses quickly. The document argues that customers want access to broad functionality and don't want to settle for limited options, and that AWS provides more functionality than any other infrastructure provider across various categories. It also discusses new AWS services like EFS, Machine Learning, Aurora, and EC2 Container Service.
AWS Summit 2013 | India - Running Enterprise Applications like SAP, Oracle an...Amazon Web Services
AWS offers a reliable and scalable cloud infrastructure platform that enables customers to run all types of business applications, from small departmental solutions to mission-critical applications that automate company-wide business processes. AWS is certified to run various ERP, CRM, collaboration, databases, messaging and content management software packages from top Independent Software Vendors (ISVs) like SAP, Oracle, Microsoft. Find out how you can run your business Applications from SAP, Oracle and Microsoft in an on-demand and flexible way on the cloud.
Similar to AWS Customer Presentation - eHarmony (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
2. About eHarmony Launched in 2000 Goal to create compatible matches that lead to happy, long-term relationships Compatibility models based on decades of research and clinical experience in psychology Available in United States, Canada, Australia and United Kingdom
3.
4. Over 20 million users + 320-item questionnaire answered by each user = BIG DATA
5. Continuous Improvement on Match Quality Requires infrastructure that supports: More user data More complex models Increased growth
6. Why Not a Traditional Solution? Scaling vertically Complex to build Scaling a constant challenge Long engineering effort Expensive
7. How Hadoop Solved Our Problem Cuts BIG DATA into small data Horizontal scaling platform Fault tolerance Commodity boxes
8. How Amazon Solved Our Problem Amazon EC2 & S3 provided an attractive approach Hosted Hadoop framework Cost effective Ability to scale on demand SOLD!
9. AWS Pricing Model Pay-per-use elastic model Choice of server type Lets you get up and running quickly and cheaply Highly cost effective alternative to doing it in-house 9
11. AWS Elastic MapReduce EC2 cluster managed for you behind the scenes Only have to worry about MapReduce Read/write data directly from S3 or HDFS Faster turn-around time to production
12. Elastic MapReduce for eHarmony Vastly simplified our Hadoop processing No need to explicitly allocate, start and shutdown EC2 instances No need to explicitly manipulate master node Cluster control and job management reduced to a single local command 12
13. Architecture Data Warehouse Amazon Cloud S3 Elastic MapReduce upload User data dump input Hadoop Jobs download output update key-value store Data Warehouse
14. Challenges The overall process depends on the success of each stage Assume every stage is unreliable Need to build retry/abort logic to handle failures 14
16. Lessons Learned EC2/S3/EMR = cost effective Hadoop community support is great Hadoop combined w/ real-time system = tricky Dev tools really easy to work right out of the box Ensuring end-to-end reliability poses biggest challenges 16
17. Looking Ahead More tools to empower business intelligence beyond engineering HIVE Helps empower engineers & non-engineers to create analytic jobs on the fly Tools for integrating to and from a traditional database/data warehouse to a Hadoop cluster