The document outlines Paul Macey's webinar on accelerated data lakes, including the agenda which covers organizational data challenges, accelerated data lake architecture and features, demonstration, and Q&A. It provides details on the components of an accelerated data lake solution, including security, data governance, scalability, and making data SQL and BI ready. The webinar demonstrates how to build a serverless data lake on AWS using services like S3, Lambda, Step Functions, and other analytics services.
Introducing AWS App Mesh - MAD303 - Santa Clara AWS SummitAmazon Web Services
In this session, learn how AWS App Mesh makes it easy to monitor and control microservices running on AWS. App Mesh standardizes how the microservices communicate, giving end-to-end visibility and helping ensure high availability for your applications.
Introduction to the Well-Architected Framework and Tool - SVC212 - Santa Clar...Amazon Web Services
Most modern businesses depend on a portfolio of technology solutions to operate and be successful every day. How do you know whether your team is following best practices or the risks in your architectures? This session shows how the AWS Well-Architected Framework provides prescriptive advice on best practices and how the AWS Well-Architected Tool enables you to measure and improve your technology portfolio. We explain how other customers are using AWS Well-Architected in their businesses, and we share what we learned from reviewing tens of thousands of architectures across operational excellence, security, reliability, performance efficiency, and cost optimization.
Building Data Lakes for Analytics on AWS - ADB201 - Anaheim AWS SummitAmazon Web Services
AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services for building data lakes for analytics. In this session, learn how to discover, load, store, catalog, prepare, and secure your data in a data lake. Then, learn to analyze with the largest choice of analytics approaches, including big data, data warehouse, operational, real-time streaming analytics, and even ML and AI. Ensure that your needs are met for existing and future analytics use cases, and discover how leading companies found success with their data lake initiatives.
Deploying AWS IoT-managed devices in an industrial setting - SVC302 - Atlanta...Amazon Web Services
This session covers the deployment and operation of AWS IoT-managed devices in industrial settings. We provide an overview of how industrial facilities are managed via operational technology and discuss the benefits of using IoT devices to augment industrial control systems—either through overlay capabilities or through direct integration with existing control systems or historians. We discuss the different methods of secure IoT device deployments without compromising health, safety, or security. Finally, we cover integration of IoT devices from an IT perspective, how devices can operate in harsh operating environments, and considerations for open standards to help ensure compliance.
The Zen of governance - Establish guardrails and empower builders - SVC201 - ...Amazon Web Services
IT organizations often see governance control and innovation as competing priorities. Compliance-minded individuals may view rapid innovation as disruptive to the security, health, and stability of their organizations. Innovation-minded individuals may view governance control as inhibiting growth. With AWS, you don’t have to choose between governance control and growth—you can have both. In this session, we provide an overview of the common challenges in this area and share how to use AWS services to solve them. We explain how to establish guardrails to improve security and compliance while empowering builders to speed innovation.
High frequency enterprises embrace cloud computing as a flywheel for frequent value delivery. This requires tighter alignment with business unit stakeholders to increase agility and pace of innovation. In this session, we explore the potential for transformation that comes with cloud adoption and discuss how some of the world’s leading enterprises were able to transform and quickly deliver business value outcomes. We also explore organisational and technology best practices that you can implement to become a high frequency enterprise.
Introducing AWS App Mesh - MAD303 - Santa Clara AWS SummitAmazon Web Services
In this session, learn how AWS App Mesh makes it easy to monitor and control microservices running on AWS. App Mesh standardizes how the microservices communicate, giving end-to-end visibility and helping ensure high availability for your applications.
Introduction to the Well-Architected Framework and Tool - SVC212 - Santa Clar...Amazon Web Services
Most modern businesses depend on a portfolio of technology solutions to operate and be successful every day. How do you know whether your team is following best practices or the risks in your architectures? This session shows how the AWS Well-Architected Framework provides prescriptive advice on best practices and how the AWS Well-Architected Tool enables you to measure and improve your technology portfolio. We explain how other customers are using AWS Well-Architected in their businesses, and we share what we learned from reviewing tens of thousands of architectures across operational excellence, security, reliability, performance efficiency, and cost optimization.
Building Data Lakes for Analytics on AWS - ADB201 - Anaheim AWS SummitAmazon Web Services
AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services for building data lakes for analytics. In this session, learn how to discover, load, store, catalog, prepare, and secure your data in a data lake. Then, learn to analyze with the largest choice of analytics approaches, including big data, data warehouse, operational, real-time streaming analytics, and even ML and AI. Ensure that your needs are met for existing and future analytics use cases, and discover how leading companies found success with their data lake initiatives.
Deploying AWS IoT-managed devices in an industrial setting - SVC302 - Atlanta...Amazon Web Services
This session covers the deployment and operation of AWS IoT-managed devices in industrial settings. We provide an overview of how industrial facilities are managed via operational technology and discuss the benefits of using IoT devices to augment industrial control systems—either through overlay capabilities or through direct integration with existing control systems or historians. We discuss the different methods of secure IoT device deployments without compromising health, safety, or security. Finally, we cover integration of IoT devices from an IT perspective, how devices can operate in harsh operating environments, and considerations for open standards to help ensure compliance.
The Zen of governance - Establish guardrails and empower builders - SVC201 - ...Amazon Web Services
IT organizations often see governance control and innovation as competing priorities. Compliance-minded individuals may view rapid innovation as disruptive to the security, health, and stability of their organizations. Innovation-minded individuals may view governance control as inhibiting growth. With AWS, you don’t have to choose between governance control and growth—you can have both. In this session, we provide an overview of the common challenges in this area and share how to use AWS services to solve them. We explain how to establish guardrails to improve security and compliance while empowering builders to speed innovation.
High frequency enterprises embrace cloud computing as a flywheel for frequent value delivery. This requires tighter alignment with business unit stakeholders to increase agility and pace of innovation. In this session, we explore the potential for transformation that comes with cloud adoption and discuss how some of the world’s leading enterprises were able to transform and quickly deliver business value outcomes. We also explore organisational and technology best practices that you can implement to become a high frequency enterprise.
Migliora la disponibilità e le prestazioni delle tue applicazioni con Amazon ...Amazon Web Services
AWS Summit Milano 2019 - Migliora la disponibilità e le prestazioni delle tue applicazioni con Amazon Global Network - Marco Cagna, Sr. Product Manager, AWS | Cliente: Pegaso Università
Driving performance & security across your industrial facility with AWS - SVC...Amazon Web Services
AWS IoT services help you easily monitor equipment across your industrial facilities to identify waste, such as breakdown of equipment and processes, production inefficiencies, and defects in products; identify complex events, such as equipment malfunctions; and audit security policies and take action if security threats are detected. This chalk talk walks through how to unlock OT data; compute common industrial performance metrics; build applications to analyze industrial equipment data and detect complex events; and utilize built-in device authentication and authorization, data encryption, and device security anomaly detection.
Grid computing in the cloud for Financial Services industry - CMP205-I - New ...Amazon Web Services
In this session, we discuss the current challenges facing customers who want to enable their high performance computing (HPC) and machine learning workloads for the cloud, and we compare how the different cloud services being developed meet these challenges. We share real-world examples to show the value that the cloud brings to HPC for such areas as risk management and catastrophe planning.
Next generation intelligent data lakes, powered by GraphQL & AWS AppSync - MA...Amazon Web Services
GraphQL is a query language for APIs and a runtime to fulfill these queries, allowing applications to easily connect and access data stored on any type of database technology or API. AWS AppSync provides a powerful and flexible serverless GraphQL API that securely accesses, manipulates, and combines data from multiple sources at any scale, enabling you to build any kind of application on a range of data sources independently of the underlying database technology. In this session, we discuss different use cases where AWS AppSync and GraphQL power next-generation applications. Special guest, Candid Partners, shares how it uses AWS AppSync in its Data Fabric solution to simplify large-scale data management using a GraphQL API to interact with data lakes.
Building data lakes for analytics on AWS - ADB201 - Santa Clara AWS Summit.pdfAmazon Web Services
AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services for building data lakes for analytics. In this session, learn how to discover, load, store, catalog, prepare, and secure your data in a data lake. Then, learn to analyze with the largest choice of analytics approaches, including big data, data warehouse, operational, and real-timing streaming analytics, and even ML and AI. Ensure that your needs are met for existing and future analytics use cases. Hear how leading companies found success with their data lake initiatives.
Building Enterprise Solutions with Blockchain and Ledger Technology - SVC202 ...Amazon Web Services
Blockchain technology is rapidly evolving. Are you ready to take advantage of blockchain's use cases for the enterprise? In this session, learn how AWS views blockchain and ledger technology, discover our new services, Amazon Managed Blockchain and Amazon QLDB, and understand how to use their features.
Discuss data migration with AWS experts - STG304 - Santa Clara AWS SummitAmazon Web Services
AWS offers a variety of data migration services and tools to help you move everything from gigabytes to petabytes of data using your networks, our networks, the mail, or even a tractor-trailer. We briefly cover a few key data migration services, including the AWS Snow family and AWS DataSync. We then engage in an interactive discussion about specific customer use cases to help you understand which technology is best for your needs. Come and join the discussion.
What's new in Amazon Aurora - ADB204 - Santa Clara AWS Summit.pdfAmazon Web Services
Amazon Aurora is a fully managed MySQL and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. This session provides an overview of Aurora, explores recently announced features, such as serverless, multi-master, and performance insights, and helps you get started.
What's New with Amazon S3, Amazon EFS, and Other AWS Storage Services - STG20...Amazon Web Services
AWS provides storage services that fit any workload or application. In this session, we discuss each of the latest developments in Amazon S3, Amazon S3 Glacier, Amazon EBS, Amazon EFS, Amazon FSx for Windows File Server, Amazon FSx for Lustre, AWS Storage Gateway, the AWS Snow family, AWS Transfer for SFTP, and AWS DataSync. We also examine which workloads and applications are best suited to each storage service.
AWS Summit Milano 2019 - Creare e gestire Data Lake e Data Warehouses - Giorgio Nobile, Solutions Architect, AWS | Francesco Marelli, Solutions Architect, AWS | Cliente: THRON
Add intelligence to applications - AIM205 - Santa Clara AWS Summit.pdfAmazon Web Services
AI has already been integrated into many use cases, but we’ve just scratched the surface of what’s possible. In this session, we cover how to use the AWS AI services to tackle three use cases that can deliver immediate value: 1) “voice of the customer” analytics to better understand what your customers are thinking and saying, 2) document analysis and processing to move beyond the limitations of traditional OCR, and 3) chatbots to improve in-app customer service and customer contact center experiences. We also discuss how to use AI in use cases within the Media, Healthcare, and Financial Services industries.
Developing intelligent robots with AWS RoboMaker - SVC207 - New York AWS SummitAmazon Web Services
Robots are becoming prevalent in our lives, helping us do tedious housework, distribute warehouse inventory, automate manufacturing, and even research lunar landscapes. But these applications demand a high level of intelligence and autonomy, and until now, the process of creating and getting them into production was difficult and time-consuming. AWS RoboMaker is a new cloud robotics service that makes it easy for developers to develop, test, and deploy robotics applications and build intelligent robotics functions using cloud services. In this session, we dive into how various organizations are using AWS RoboMaker to accelerate development timelines and build innovative robotics solutions.
AWS Summit Milano 2019 - Sicurezza in AWS automazione e best practice - Antonio Duma, Solutions Architect, AWS | Carmela Gambardella, Solutions Architect AWS
Developing intelligent robots with AWS RoboMaker - SVC207 - Santa Clara AWS S...Amazon Web Services
Robots are now becoming prevalent in our lives, helping us carry out tedious housework, distribute warehouse inventory, automate manufacturing, and research lunar landscapes. But these applications demand a high level of intelligence and autonomy. Until now, developing, testing, and deploying intelligent robotics applications was difficult and time consuming. AWS RoboMaker is a new cloud robotics service that makes it easy for developers to develop, test, and deploy robotics applications and build intelligent robotics functions using cloud services. In this session we dive into how customers are using AWS RoboMaker to accelerate development timelines and build innovative robotics solutions.
Introduction to EC2 A1 instances, powered by the AWS Graviton processor - CMP...Amazon Web Services
Amazon EC2 A1 instances are the first EC2 instances powered by Arm-based AWS Graviton processors. They deliver significant cost savings for scale-out and Arm-based applications, such as web servers, containerized microservices, caching fleets, and distributed data stores that are supported by the extensive Arm ecosystem. In this chalk talk, learn about EC2 A1 instances, understand the use cases, and watch demonstrations of how easy it can be to migrate and run your workloads on EC2 A1. Discussion and questions are encouraged.
In this webinar, discover how to develop accelerated data lake approaches to storing data with data security and governance from day 0.
Join us as we discuss AWS services, architecture, and data onboarding methodologies that support these solutions.
Presenter: Paul Macey, Big Data & Analytics, Specialist Solutions Architect, AWS
Migliora la disponibilità e le prestazioni delle tue applicazioni con Amazon ...Amazon Web Services
AWS Summit Milano 2019 - Migliora la disponibilità e le prestazioni delle tue applicazioni con Amazon Global Network - Marco Cagna, Sr. Product Manager, AWS | Cliente: Pegaso Università
Driving performance & security across your industrial facility with AWS - SVC...Amazon Web Services
AWS IoT services help you easily monitor equipment across your industrial facilities to identify waste, such as breakdown of equipment and processes, production inefficiencies, and defects in products; identify complex events, such as equipment malfunctions; and audit security policies and take action if security threats are detected. This chalk talk walks through how to unlock OT data; compute common industrial performance metrics; build applications to analyze industrial equipment data and detect complex events; and utilize built-in device authentication and authorization, data encryption, and device security anomaly detection.
Grid computing in the cloud for Financial Services industry - CMP205-I - New ...Amazon Web Services
In this session, we discuss the current challenges facing customers who want to enable their high performance computing (HPC) and machine learning workloads for the cloud, and we compare how the different cloud services being developed meet these challenges. We share real-world examples to show the value that the cloud brings to HPC for such areas as risk management and catastrophe planning.
Next generation intelligent data lakes, powered by GraphQL & AWS AppSync - MA...Amazon Web Services
GraphQL is a query language for APIs and a runtime to fulfill these queries, allowing applications to easily connect and access data stored on any type of database technology or API. AWS AppSync provides a powerful and flexible serverless GraphQL API that securely accesses, manipulates, and combines data from multiple sources at any scale, enabling you to build any kind of application on a range of data sources independently of the underlying database technology. In this session, we discuss different use cases where AWS AppSync and GraphQL power next-generation applications. Special guest, Candid Partners, shares how it uses AWS AppSync in its Data Fabric solution to simplify large-scale data management using a GraphQL API to interact with data lakes.
Building data lakes for analytics on AWS - ADB201 - Santa Clara AWS Summit.pdfAmazon Web Services
AWS provides the most comprehensive, secure, scalable, and cost-effective portfolio of services for building data lakes for analytics. In this session, learn how to discover, load, store, catalog, prepare, and secure your data in a data lake. Then, learn to analyze with the largest choice of analytics approaches, including big data, data warehouse, operational, and real-timing streaming analytics, and even ML and AI. Ensure that your needs are met for existing and future analytics use cases. Hear how leading companies found success with their data lake initiatives.
Building Enterprise Solutions with Blockchain and Ledger Technology - SVC202 ...Amazon Web Services
Blockchain technology is rapidly evolving. Are you ready to take advantage of blockchain's use cases for the enterprise? In this session, learn how AWS views blockchain and ledger technology, discover our new services, Amazon Managed Blockchain and Amazon QLDB, and understand how to use their features.
Discuss data migration with AWS experts - STG304 - Santa Clara AWS SummitAmazon Web Services
AWS offers a variety of data migration services and tools to help you move everything from gigabytes to petabytes of data using your networks, our networks, the mail, or even a tractor-trailer. We briefly cover a few key data migration services, including the AWS Snow family and AWS DataSync. We then engage in an interactive discussion about specific customer use cases to help you understand which technology is best for your needs. Come and join the discussion.
What's new in Amazon Aurora - ADB204 - Santa Clara AWS Summit.pdfAmazon Web Services
Amazon Aurora is a fully managed MySQL and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. It is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. This session provides an overview of Aurora, explores recently announced features, such as serverless, multi-master, and performance insights, and helps you get started.
What's New with Amazon S3, Amazon EFS, and Other AWS Storage Services - STG20...Amazon Web Services
AWS provides storage services that fit any workload or application. In this session, we discuss each of the latest developments in Amazon S3, Amazon S3 Glacier, Amazon EBS, Amazon EFS, Amazon FSx for Windows File Server, Amazon FSx for Lustre, AWS Storage Gateway, the AWS Snow family, AWS Transfer for SFTP, and AWS DataSync. We also examine which workloads and applications are best suited to each storage service.
AWS Summit Milano 2019 - Creare e gestire Data Lake e Data Warehouses - Giorgio Nobile, Solutions Architect, AWS | Francesco Marelli, Solutions Architect, AWS | Cliente: THRON
Add intelligence to applications - AIM205 - Santa Clara AWS Summit.pdfAmazon Web Services
AI has already been integrated into many use cases, but we’ve just scratched the surface of what’s possible. In this session, we cover how to use the AWS AI services to tackle three use cases that can deliver immediate value: 1) “voice of the customer” analytics to better understand what your customers are thinking and saying, 2) document analysis and processing to move beyond the limitations of traditional OCR, and 3) chatbots to improve in-app customer service and customer contact center experiences. We also discuss how to use AI in use cases within the Media, Healthcare, and Financial Services industries.
Developing intelligent robots with AWS RoboMaker - SVC207 - New York AWS SummitAmazon Web Services
Robots are becoming prevalent in our lives, helping us do tedious housework, distribute warehouse inventory, automate manufacturing, and even research lunar landscapes. But these applications demand a high level of intelligence and autonomy, and until now, the process of creating and getting them into production was difficult and time-consuming. AWS RoboMaker is a new cloud robotics service that makes it easy for developers to develop, test, and deploy robotics applications and build intelligent robotics functions using cloud services. In this session, we dive into how various organizations are using AWS RoboMaker to accelerate development timelines and build innovative robotics solutions.
AWS Summit Milano 2019 - Sicurezza in AWS automazione e best practice - Antonio Duma, Solutions Architect, AWS | Carmela Gambardella, Solutions Architect AWS
Developing intelligent robots with AWS RoboMaker - SVC207 - Santa Clara AWS S...Amazon Web Services
Robots are now becoming prevalent in our lives, helping us carry out tedious housework, distribute warehouse inventory, automate manufacturing, and research lunar landscapes. But these applications demand a high level of intelligence and autonomy. Until now, developing, testing, and deploying intelligent robotics applications was difficult and time consuming. AWS RoboMaker is a new cloud robotics service that makes it easy for developers to develop, test, and deploy robotics applications and build intelligent robotics functions using cloud services. In this session we dive into how customers are using AWS RoboMaker to accelerate development timelines and build innovative robotics solutions.
Introduction to EC2 A1 instances, powered by the AWS Graviton processor - CMP...Amazon Web Services
Amazon EC2 A1 instances are the first EC2 instances powered by Arm-based AWS Graviton processors. They deliver significant cost savings for scale-out and Arm-based applications, such as web servers, containerized microservices, caching fleets, and distributed data stores that are supported by the extensive Arm ecosystem. In this chalk talk, learn about EC2 A1 instances, understand the use cases, and watch demonstrations of how easy it can be to migrate and run your workloads on EC2 A1. Discussion and questions are encouraged.
In this webinar, discover how to develop accelerated data lake approaches to storing data with data security and governance from day 0.
Join us as we discuss AWS services, architecture, and data onboarding methodologies that support these solutions.
Presenter: Paul Macey, Big Data & Analytics, Specialist Solutions Architect, AWS
by PD Dutta, Sr. Product Manager, Object Storage, AWS
We will explain how to design and build an IoT cloud platform on top of Amazon S3. You will get to review the best practices for architecting a cost-effective, durable, and secure storage solution to store and analyze your IoT data on Amazon S3. In addition, we’ll cover how to collect, ingest and analyze the data in-place using different AWS Services such as AWS IoT, Amazon Kinesis, Amazon Athena, and Amazon Redshift Spectrum.
One of the most important factors to an organization’s success is its ability to extract actionable information from its data. However, the exponential growth of available data has put numerous operational pressures on IT and storage administrators to effectively ingest, transfer, process, store, backup, and archive. AWS offers numerous data transfer and storage services and solutions that can scale with your data growth and help meet security and compliance requirements. Attend this session to learn how to use AWS storage services to manage the entire lifecycle of your data, from ingestion to archive.
AWS Analytics Services - When to use what? | AWS Summit Tel Aviv 2019AWS Summits
AWS provides a wide range of data analytics tools with the power to analyze vast volumes of customer, business, and transactional data quickly and at low cost.
In this session, we provide an overview of AWS analytics services and discuss how customers are using these services today. We will also discuss the new database and analytics services and features we launched in the last year.
AWS Analytics Services - When to use what? | AWS Summit Tel Aviv 2019Amazon Web Services
AWS provides a wide range of data analytics tools with the power to analyze vast volumes of customer, business, and transactional data quickly and at low cost.
In this session, we provide an overview of AWS analytics services and discuss how customers are using these services today. We will also discuss the new database and analytics services and features we launched in the last year.
Best Practices to Secure Data Lake on AWS (ANT327) - AWS re:Invent 2018Amazon Web Services
As customers are looking to build Data lakes to AWS, managing security, catalog and data quality becomes a challenge. Once data is put on Amazon S3, there are multiple processing engines to access it. This could be either through a SQL interface, programmatic, or using API. Customers require federated access to their data with strong controls around Authentication, Authorization, Encryption, and Audit. In this session, we explore the major AWS analytics services and platforms that customers can use to access data in the data Lake and provide best practices on securing them.
The first step towards knowing your customer is to collect and extract insights and actionable information from your data. Learn how AWS enables you to cost efficiently store any amount of data and build an agile approach to data mining and visualization - helping you to make efficient business decisions and targeted offerings.
AWS Public Datasets: Learnings from Staging Petabytes of Data for Analysis in...Amazon Web Services
AWS hosts a variety of public data sets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have required hours or days to locate, download, customize, and analyze. When data is made publicly available on AWS, anyone can analyze any volume of data without needing to download or store it themselves. The AWS Open Data Team will share tips and tricks, patterns and anti-patterns and tools to help you most effectively stage your data for analysis in the cloud.
Deep Dive: Building Hybrid Cloud Storage Architectures with AWS Storage Gatew...Amazon Web Services
Are you tired of the treadmill of deploying on-premises storage? Join this session to learn how to use AWS Storage Gateway to shift storage for on-premises apps to the cloud, reducing your infrastructure and management challenges. Storage Gateway connects your apps to AWS storage services, including Amazon S3, using standard block, file and tape storage protocols. You can use Storage Gateway for hybrid cloud use cases for file-based application data storage, backup, analytics with data lakes, machine learning (ML), and migration. Learn about best practices from a customer using Storage Gateway for Microsoft SQL Server data protection.
Storage Data Management: Tools and Templates to Seamlessly Automate and Optim...Amazon Web Services
by Robbie Wright, Sr. Product Marketing Manager AWS
Learn about the features supported by AWS storage services, such as object tagging, storage class analysis, inventorying, and monitoring. These tools can help automate data lifecycle policies for optimal and cost-effective storage management, provide detailed insights into usage across the entire enterprise, and limit access to certain accounts.
AWS and Symantec: Cyber Defense at Scale (SEC311-S) - AWS re:Invent 2018Amazon Web Services
Learn how Symantec uses AWS to provide complete, integrated security solutions that monitor and protect companies and governments from hackers. Hear about lessons learned from how Symantec scaled up its infrastructure to analyze billions of logs every day to detect the world’s most sophisticated cyber attacks, and you’ll see how Symantec integrates with native AWS services, like Amazon GuardDuty, AWS Lambda, and AWS Systems Manager, into its own security solutions to provide even better security in the cloud. This session is brought to you by AWS partner, Symantec Corporation.
Building a Data Lake in Amazon S3 & Amazon Glacier (STG401-R1) - AWS re:Inven...Amazon Web Services
Whether you are part of a startup or a global enterprise, using a data lake to store and analyze data can help your business glean insights to evolve service offerings and capitalize on emerging market opportunities. In this workshop, AWS engineers and experts provide hands-on guidance for IT professionals looking to build a data lake for their organization. We provide overviews of Amazon S3, Amazon Glacier, and AWS query-in-place features and services, such as Amazon S3 Select, Amazon Glacier Select, Amazon Athena, and Amazon Redshift Spectrum. Attendees also learn how to use these services with third-party tools to build data lakes and other analytics solutions. Familiarity of with AWS object storage and analytics services is helpful but not required.
In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon ML services work together to build a successful data lake for various roles, including data scientists and business users.
In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon ML services work together to build a successful data lake for various roles, including data scientists and business users.
Learn about data lifecycle best practices in the AWS Cloud. Discover how to optimise performance and lower the costs of data ingestion, staging, storage, cleansing, analytics, visualisation, and archiving.
When Fujirebio Diagnostics, a leading producer of in vitro diagnostics, shifted to virtualization and the cloud, it wanted to replace its costly, unreliable, and cumbersome backup solution. Fujirebio turned to Amazon Web Services (AWS) and Rubrik for a more modern solution. The company used Rubrik Cloud Data Management to eliminate complex tape backup and archive mission critical production systems on AWS, as well as extend on-site storage capacity. The solution automates backup, recovery, and archival on AWS, helping the company drive operational efficiency and resilience. In this webinar, you will learn how Fujirebio Diagnostics used AWS and Rubrik to simplify data protection, achieve fast recovery, reduce management time, and lower total cost of ownership by 75 percent.
AWS Speaker: Mike Ruiz, Partner Solutions Architect
Rubrik Speakers: Kenneth Hui, Technical Marketing Engineer & Mark Haus, Sales Engineer
Building a Data Lake for Your Enterprise, ft. Sysco (STG309) - AWS re:Invent ...Amazon Web Services
Data lakes are transforming the way enterprises store, analyze, and learn insights from their data. While data lakes are a relatively new concept, many enterprises have already generated significant business value from the insights gleaned. In this session, AWS experts and technology leaders from Sysco, a Fortune 50 company and leader in food distribution and marketing, explain why Sysco decided to evolve its data management capabilities to include data lakes and how they customized them to support diverse querying capabilities and data science use cases. They also discuss how to architect different aspects of a data lake—ingestion from disparate sources, data consumption, and usability layers—and how to track data ingestion and consumption, monitor associated costs, enforce wanted levels of user access, manage data file formats, synchronize production and non-production environments, and maintain data integrity. Services to be discussed include Amazon S3 and S3 Select, Amazon Athena, Amazon EMR, Amazon EC2, and Amazon Redshift Spectrum.
Similar to Accelerated Data Lakes Deep Dive Webinar - Paul Macey (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.
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.