This document discusses Snowflake, a cloud data platform. It describes Snowflake's mission to enable organizations to be data-driven. It outlines problems with traditional data architectures like complexity, limited scalability, inability to consolidate data, and rigid costs. Snowflake's solution is a cloud-native data warehouse delivered as a service that offers instant elasticity, end-to-end security, and the ability to query structured and semi-structured data using SQL. Key benefits of Snowflake include supporting any scale of data, users and workloads; paying only for resources used; and providing simplicity, scalability, flexibility and elasticity.
Master the Multi-Clustered Data Warehouse - SnowflakeMatillion
Snowflake is one of the most powerful, efficient data warehouses on the market today—and we joined forces with the Snowflake team to show you how it works!
In this webinar:
- Learn how to optimize Snowflake
- Hear insider tips and tricks on how to improve performance
- Get expert insights from Craig Collier, Technical Architect from Snowflake, and Kalyan Arangam, Solution Architect from Matillion
- Find out how leading brands like Converse, Duo Security, and Pets at Home use Snowflake and Matillion ETL to make data-driven decisions
- Discover how Matillion ETL and Snowflake work together to modernize your data world
- Learn how to utilize the impressive scalability of Snowflake and Matillion
Snowflake: The Good, the Bad, and the UglyTyler Wishnoff
Learn how to solve the top 3 challenges Snowflake customers face, and what you can do to ensure high-performance, intelligent analytics at any scale. Ideal for those currently using Snowflake and those considering it. Learn more at: https://kyligence.io/
Snowflake concepts & hands on expertise to help get you started on implementing Data warehouses using Snowflake. Necessary information and skills that will help you master Snowflake essentials.
How to Take Advantage of an Enterprise Data Warehouse in the CloudDenodo
Watch full webinar here: [https://buff.ly/2CIOtys]
As organizations collect increasing amounts of diverse data, integrating that data for analytics becomes more difficult. Technology that scales poorly and fails to support semi-structured data fails to meet the ever-increasing demands of today’s enterprise. In short, companies everywhere can’t consolidate their data into a single location for analytics.
In this Denodo DataFest 2018 session we’ll cover:
Bypassing the mandate of a single enterprise data warehouse
Modern data sharing to easily connect different data types located in multiple repositories for deeper analytics
How cloud data warehouses can scale both storage and compute, independently and elastically, to meet variable workloads
Presentation by Harsha Kapre, Snowflake
Introduction to Snowflake Datawarehouse and Architecture for Big data company. Centralized data management. Snowpipe and Copy into a command for data loading. Stream loading and Batch Processing.
Snowflake: Your Data. No Limits (Session sponsored by Snowflake) - AWS Summit...Amazon Web Services
Struggling to keep up with an ever-increasing demand for data at your organisation? Do you spend hours tinkering with your streaming data pipelines? Does that one data scientist with direct EDW access keep you up at night? Introducing Snowflake, a brand new SQL data warehouse built for the cloud. We’ve designed and implemented a unique cloud-based architecture that addresses the most common shortcomings of existing data solutions. With Snowflake, you can unlock unlimited concurrency, enable instant scalability, and take advantage of built-in tuning and optimisation. Join us and find out what Netflix, Adobe, and Nike all have in common.
Master the Multi-Clustered Data Warehouse - SnowflakeMatillion
Snowflake is one of the most powerful, efficient data warehouses on the market today—and we joined forces with the Snowflake team to show you how it works!
In this webinar:
- Learn how to optimize Snowflake
- Hear insider tips and tricks on how to improve performance
- Get expert insights from Craig Collier, Technical Architect from Snowflake, and Kalyan Arangam, Solution Architect from Matillion
- Find out how leading brands like Converse, Duo Security, and Pets at Home use Snowflake and Matillion ETL to make data-driven decisions
- Discover how Matillion ETL and Snowflake work together to modernize your data world
- Learn how to utilize the impressive scalability of Snowflake and Matillion
Snowflake: The Good, the Bad, and the UglyTyler Wishnoff
Learn how to solve the top 3 challenges Snowflake customers face, and what you can do to ensure high-performance, intelligent analytics at any scale. Ideal for those currently using Snowflake and those considering it. Learn more at: https://kyligence.io/
Snowflake concepts & hands on expertise to help get you started on implementing Data warehouses using Snowflake. Necessary information and skills that will help you master Snowflake essentials.
How to Take Advantage of an Enterprise Data Warehouse in the CloudDenodo
Watch full webinar here: [https://buff.ly/2CIOtys]
As organizations collect increasing amounts of diverse data, integrating that data for analytics becomes more difficult. Technology that scales poorly and fails to support semi-structured data fails to meet the ever-increasing demands of today’s enterprise. In short, companies everywhere can’t consolidate their data into a single location for analytics.
In this Denodo DataFest 2018 session we’ll cover:
Bypassing the mandate of a single enterprise data warehouse
Modern data sharing to easily connect different data types located in multiple repositories for deeper analytics
How cloud data warehouses can scale both storage and compute, independently and elastically, to meet variable workloads
Presentation by Harsha Kapre, Snowflake
Introduction to Snowflake Datawarehouse and Architecture for Big data company. Centralized data management. Snowpipe and Copy into a command for data loading. Stream loading and Batch Processing.
Snowflake: Your Data. No Limits (Session sponsored by Snowflake) - AWS Summit...Amazon Web Services
Struggling to keep up with an ever-increasing demand for data at your organisation? Do you spend hours tinkering with your streaming data pipelines? Does that one data scientist with direct EDW access keep you up at night? Introducing Snowflake, a brand new SQL data warehouse built for the cloud. We’ve designed and implemented a unique cloud-based architecture that addresses the most common shortcomings of existing data solutions. With Snowflake, you can unlock unlimited concurrency, enable instant scalability, and take advantage of built-in tuning and optimisation. Join us and find out what Netflix, Adobe, and Nike all have in common.
A 30 day plan to start ending your data struggle with SnowflakeSnowflake Computing
Organizations everywhere are struggling to load, integrate, analyze and collaborate with data. This is largely thanks to their antiquated data platform, designed in a time when few people had the desire or need to interact with the database. Snowflake, the data warehouse built for the cloud, can help.
Snowflake's Kent Graziano talks about what makes a data warehouse as a service and some of the key features of Snowflake's data warehouse as a service.
What is elastic data warehousing, and how does Snowflake uniquely enable it? Learn about the requirements needed to support flexible, elastic data warehousing using cloud infrastructure.
Making Apache Spark Better with Delta LakeDatabricks
Delta Lake is an open-source storage layer that brings reliability to data lakes. Delta Lake offers ACID transactions, scalable metadata handling, and unifies the streaming and batch data processing. It runs on top of your existing data lake and is fully compatible with Apache Spark APIs.
In this talk, we will cover:
* What data quality problems Delta helps address
* How to convert your existing application to Delta Lake
* How the Delta Lake transaction protocol works internally
* The Delta Lake roadmap for the next few releases
* How to get involved!
Organizations are struggling to make sense of their data within antiquated data platforms. Snowflake, the data warehouse built for the cloud, can help.
Optimize the performance, cost, and value of databases.pptxIDERA Software
Today’s businesses run on data, making it essential for them to access data quickly and easily. This requirement means that databases must run efficiently at all times but keeping a database performing at its best remains a challenging task. Fortunately, database administrators (DBAs) can adopt many practices to achieve this goal, thus saving time and money.
As cloud computing continues to gather speed, organizations with years’ worth of data stored on legacy on-premise technologies are facing issues with scale, speed, and complexity. Your customers and business partners are likely eager to get data from you, especially if you can make the process easy and secure.
Challenges with performance are not uncommon and ongoing interventions are required just to “keep the lights on”.
Discover how Snowflake empowers you to meet your analytics needs by unlocking the potential of your data.
Agenda of Webinar :
~Understand Snowflake and its Architecture
~Quickly load data into Snowflake
~Leverage the latest in Snowflake’s unlimited performance and scale to make the data ready for analytics
~Deliver secure and governed access to all data – no more silos
Data Warehouse - Incremental Migration to the CloudMichael Rainey
A data warehouse (DW) migration is no small undertaking, especially when moving from on-premises to the cloud. A typical data warehouse has numerous data sources connecting and loading data into the DW, ETL tools and data integration scripts performing transformations, and reporting, advanced analytics, or ad-hoc query tools accessing the data for insights and analysis. That’s a lot to coordinate and the data warehouse cannot be migrated all at once. Using a data replication technology such as Oracle GoldenGate, the data warehouse migration can be performed incrementally by keeping the data in-sync between the original DW and the new, cloud DW. This session will dive into the steps necessary for this incremental migration approach and walk through a customer use case scenario, leaving attendees with an understanding of how to perform a data warehouse migration to the cloud.
Presented at RMOUG Training Days 2019
Near real-time statistical modeling and anomaly detection using Flink!Flink Forward
Flink Forward San Francisco 2022.
At ThousandEyes we receive billions of events every day that allow us to monitor the internet; the most important aspect of our platform is to detect outages and anomalies that have a potential to cause serious impact to customer applications and user experience. Automatic detection of such events at lowest latency and highest accuracy is extremely important for our customers and their business. After launching several resilient and low latency data pipelines in production using Flink we decided to take it up a notch; we leveraged Flink to build statistical models in near real-time and apply them on incoming stream of events to detect anomalies! In this session we will deep dive into the design as well as discuss pitfalls and learnings while developing our real-time platform that leverages Debezium, Kafka, Flink, ElasticCache and DynamoDB to process events at scale!
by
Kunal Umrigar & Balint Kurnasz
Data driven organizations can be challenged to deliver new and growing business intelligence requirements from existing data warehouse platforms, constrained by lack of scalability and performance. The solution for customers is a data warehouse that scales for real-time demands and uses resources in a more optimized and cost-effective manner. Join Snowflake, AWS and Ask.com to learn how Ask.com enhanced BI service levels and decreased expenses while meeting demand to collect, store and analyze over a terabyte of data per day. Snowflake Computing delivers a fast and flexible elastic data warehouse solution that reduces complexity and overhead, built on top of the elasticity, flexibility, and resiliency of AWS.
Join us to learn:
• Learn how Ask.com eliminates data redundancy, and simplifies and accelerates data load, unload, and administration
• Learn how to support new and fluid data consumption patterns with consistently high performance
• Best practices for scaling high data volume on Amazon EC2 and Amazon S3
Who should attend: CIOs, CTOs, CDOs, Directors of IT, IT Administrators, IT Architects, Data Warehouse Developers, Database Administrators, Business Analysts and Data Architects
For those contemplating re-architecting or greenfields data lakes/data hubs/data warehouses in a cloud environment, talk to our Altis AWS Practice Lead - Guillaume Jaudouin about why you should be considering the "tour de force" combination of AWS and Snowflake.
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformCloudera, Inc.
Machine learning and analytics applications are exploding in the enterprise; driving use cases for preventative maintenance, delivering new desirable product offers to customers at the right time, and combating insider threats to your business.
But each of these high-value use cases rely on a variety of data analysis capabilities working in concert to combine data from different sources into a single coherent picture. Cloudera SDX delivers a “shared data experience” that makes applications easier to develop, less expensive to deploy and more consistently secure.
3 things to learn:
* Why multi-function applications are difficult to build and secure
* How shared catalog, governance, management, and security applied consistently everywhere can deliver a “shared data experience”
* How enterprise customers are building new, high-value applications with SDX
A 30 day plan to start ending your data struggle with SnowflakeSnowflake Computing
Organizations everywhere are struggling to load, integrate, analyze and collaborate with data. This is largely thanks to their antiquated data platform, designed in a time when few people had the desire or need to interact with the database. Snowflake, the data warehouse built for the cloud, can help.
Snowflake's Kent Graziano talks about what makes a data warehouse as a service and some of the key features of Snowflake's data warehouse as a service.
What is elastic data warehousing, and how does Snowflake uniquely enable it? Learn about the requirements needed to support flexible, elastic data warehousing using cloud infrastructure.
Making Apache Spark Better with Delta LakeDatabricks
Delta Lake is an open-source storage layer that brings reliability to data lakes. Delta Lake offers ACID transactions, scalable metadata handling, and unifies the streaming and batch data processing. It runs on top of your existing data lake and is fully compatible with Apache Spark APIs.
In this talk, we will cover:
* What data quality problems Delta helps address
* How to convert your existing application to Delta Lake
* How the Delta Lake transaction protocol works internally
* The Delta Lake roadmap for the next few releases
* How to get involved!
Organizations are struggling to make sense of their data within antiquated data platforms. Snowflake, the data warehouse built for the cloud, can help.
Optimize the performance, cost, and value of databases.pptxIDERA Software
Today’s businesses run on data, making it essential for them to access data quickly and easily. This requirement means that databases must run efficiently at all times but keeping a database performing at its best remains a challenging task. Fortunately, database administrators (DBAs) can adopt many practices to achieve this goal, thus saving time and money.
As cloud computing continues to gather speed, organizations with years’ worth of data stored on legacy on-premise technologies are facing issues with scale, speed, and complexity. Your customers and business partners are likely eager to get data from you, especially if you can make the process easy and secure.
Challenges with performance are not uncommon and ongoing interventions are required just to “keep the lights on”.
Discover how Snowflake empowers you to meet your analytics needs by unlocking the potential of your data.
Agenda of Webinar :
~Understand Snowflake and its Architecture
~Quickly load data into Snowflake
~Leverage the latest in Snowflake’s unlimited performance and scale to make the data ready for analytics
~Deliver secure and governed access to all data – no more silos
Data Warehouse - Incremental Migration to the CloudMichael Rainey
A data warehouse (DW) migration is no small undertaking, especially when moving from on-premises to the cloud. A typical data warehouse has numerous data sources connecting and loading data into the DW, ETL tools and data integration scripts performing transformations, and reporting, advanced analytics, or ad-hoc query tools accessing the data for insights and analysis. That’s a lot to coordinate and the data warehouse cannot be migrated all at once. Using a data replication technology such as Oracle GoldenGate, the data warehouse migration can be performed incrementally by keeping the data in-sync between the original DW and the new, cloud DW. This session will dive into the steps necessary for this incremental migration approach and walk through a customer use case scenario, leaving attendees with an understanding of how to perform a data warehouse migration to the cloud.
Presented at RMOUG Training Days 2019
Near real-time statistical modeling and anomaly detection using Flink!Flink Forward
Flink Forward San Francisco 2022.
At ThousandEyes we receive billions of events every day that allow us to monitor the internet; the most important aspect of our platform is to detect outages and anomalies that have a potential to cause serious impact to customer applications and user experience. Automatic detection of such events at lowest latency and highest accuracy is extremely important for our customers and their business. After launching several resilient and low latency data pipelines in production using Flink we decided to take it up a notch; we leveraged Flink to build statistical models in near real-time and apply them on incoming stream of events to detect anomalies! In this session we will deep dive into the design as well as discuss pitfalls and learnings while developing our real-time platform that leverages Debezium, Kafka, Flink, ElasticCache and DynamoDB to process events at scale!
by
Kunal Umrigar & Balint Kurnasz
Data driven organizations can be challenged to deliver new and growing business intelligence requirements from existing data warehouse platforms, constrained by lack of scalability and performance. The solution for customers is a data warehouse that scales for real-time demands and uses resources in a more optimized and cost-effective manner. Join Snowflake, AWS and Ask.com to learn how Ask.com enhanced BI service levels and decreased expenses while meeting demand to collect, store and analyze over a terabyte of data per day. Snowflake Computing delivers a fast and flexible elastic data warehouse solution that reduces complexity and overhead, built on top of the elasticity, flexibility, and resiliency of AWS.
Join us to learn:
• Learn how Ask.com eliminates data redundancy, and simplifies and accelerates data load, unload, and administration
• Learn how to support new and fluid data consumption patterns with consistently high performance
• Best practices for scaling high data volume on Amazon EC2 and Amazon S3
Who should attend: CIOs, CTOs, CDOs, Directors of IT, IT Administrators, IT Architects, Data Warehouse Developers, Database Administrators, Business Analysts and Data Architects
For those contemplating re-architecting or greenfields data lakes/data hubs/data warehouses in a cloud environment, talk to our Altis AWS Practice Lead - Guillaume Jaudouin about why you should be considering the "tour de force" combination of AWS and Snowflake.
How to Build Multi-disciplinary Analytics Applications on a Shared Data PlatformCloudera, Inc.
Machine learning and analytics applications are exploding in the enterprise; driving use cases for preventative maintenance, delivering new desirable product offers to customers at the right time, and combating insider threats to your business.
But each of these high-value use cases rely on a variety of data analysis capabilities working in concert to combine data from different sources into a single coherent picture. Cloudera SDX delivers a “shared data experience” that makes applications easier to develop, less expensive to deploy and more consistently secure.
3 things to learn:
* Why multi-function applications are difficult to build and secure
* How shared catalog, governance, management, and security applied consistently everywhere can deliver a “shared data experience”
* How enterprise customers are building new, high-value applications with SDX
Multidisziplinäre Analyseanwendungen auf einer gemeinsamen Datenplattform ers...Cloudera, Inc.
Maschinelles Lernen und Analyseanwendungen explodieren im Unternehmen und ermöglichen Anwendungsfällen in Bereichen wie vorbeugende Wartung, Bereitstellung neuer, wünschenswerter Produktangebote für Kunden zum richtigen Zeitpunkt und Bekämpfung von Insider-Bedrohungen für Ihr Unternehmen.
Cloud Data Warehousing with Cloudera Altus 7.24.18Cloudera, Inc.
This webinar will help you maximize the full potential of the cloud. Understand how to leverage cloud environments for different analytic workloads to empower business analysts and keep IT happy. An intricate, beautiful balance. The learn best practices in design, performance tuning, workload considerations, and hybrid or multi-cloud strategies.
Snowflake’s Cloud Data Platform and Modern AnalyticsSenturus
See a demo and learn how Snowflake meets the needs of performant BI. Designed to handle both structured and unstructured data, Snowflake can serve as a single data repository, providing elastic performance and scalability.
Senturus offers a full spectrum of services in business intelligence and training on Tableau, Power BI and Cognos. Our resource library has hundreds of free live and recorded webinars, blog posts, demos and unbiased product reviews available on our website at: http://www.senturus.com/senturus-resources/.
C cloud organizational_impacts_big_data_on-prem_vs_off-premise_john_singJohn Sing
Internet-scale cloud data centers and cloud technology has fundamentally changed the IT and Internet landscape. What is less apparent but absolutely essential, is the very different *IT organizational structure* that must exist in order to properly implement, manage, support, and scale a cloud IT infrastructure. This extensive chart deck, provided in full PowerPoint format, explains these significant and non-avoidable IT organizational changes required. Bottom line: it is (unfortunately) impossible for a traditional IT organization to provide a true modern autonomically managed, scalable, cost-effective cloud infrastructure
IBM Cloud Object Storage: How it works and typical use casesTony Pearson
This session covers the general concepts of object storage and in particular the IBM Cloud Object Storage offerings. Presented at IBM TechU in Johannesburg, South Africa September 2019
In this webinar you'll learn how to quickly and easily improve your business using Snowflake and Matillion ETL for Snowflake. Webinar presented by Solution Architects Craig Collier (Snowflake) adn Kalyan Arangam (Matillion).
In this webinar:
- Learn to optimize Snowflake and leverage Matillion ETL for Snowflake
- Discover tips and tricks to improve performance
- Get invaluable insights from data warehousing pros
Presentation of the future of cloud storage at Scality SDS Day in London (The Shard) in September 2017. Topics covered include private/public cloud and software-defined storage.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
MongoDB World 2019: Implementation and Operationalization of MongoDB Sharding...MongoDB
Implementation and Operationalization of MongoDB Sharding in a Highly Complex and Secured Platform - Order Processing System at Cisco Systems Inc.
The order processing system at Cisco, with a large volume of order transactions, requires high performance, scalable, highly available, and secured environment. This was achieved by implementing a MongoDB sharded cluster on private cloud infrastructure with high security and automation tools.
AWS Summit Singapore 2019 | The Smart Way to Build an AI & ML Strategy for Yo...AWS Summits
Speaker: Barnam Bora, Head of AI/ML, APAC, AWS
In this session, we will share tips to help you jumpstart your journey with machine learning and artificial intelligence. You will learn what workloads the best start-ups are running on AWS and how we can help you easily integrate Artificial Intelligence in your applications.
AWS Summit Singapore 2019 | Hiring a Global Rock Star Team: Tips and TricksAWS Summits
Speaker: Santanu Dutt, Senior Manager, Solutions Architect, ASEAN, AWS
Customer Speaker: Emmanuel Frenehard, CTO, iFlix
In this session, we will discuss why your hiring process and company culture are strategic for your startup growth. You will learn practical and proven mechanisms from some of the best startups together with tips from Amazon.
AWS Summit Singapore 2019 | A Founder's Journey to ExitAWS Summits
Customer Speaker:
Nandu Madhava, General Manager - S.E. Asia, India, Australia at Twitch
Discover Twitch's early days until Amazon's acquisition for $970 million. Learn how the team transformed this startup into the world's leading video game streaming site, empowering 2 million creators each month and engaging with more than 15 million viewers every day.
AWS Summit Singapore 2019 | Realising Business Value with AWS Analytics ServicesAWS Summits
Speaker: Yu Hua Lim, Solutions Architect, ASEAN, AWS
Customer Speaker: Vasanth Kumar, Head of Software Engineering, NTUC Link Pte Ltd
Hear how local enterprise customers deliver business impact with AWS Analytics and Big Data services. We will cover data monetisation, creation of net new revenue streams, and agility in experimentation.
AWS Summit Singapore 2019 | Amazon Digital User Engagement SolutionsAWS Summits
Speakers:
Zach Barbitta, Sr. Digital User Engagement Product Manager, AWS
John Burry, Principal Digital User Engagement Specialist Solutions Architect, AWS
We describe how AWS provides the Amazon customer-centric culture of innovation, key technology building blocks, and a user engagement platform to help companies better engage their users. You will also learn how Disney Streaming Services is utilising the Amazon approach to engage its users. The intended audience is developers and business professionals who are responsible for digitally transforming their company.
AWS Summit Singapore 2019 | Big Data Analytics Architectural Patterns and Bes...AWS Summits
Speaker: Renee Lo, Head of Big Data, Analytics, and AI, ASEAN, AWS
Customer Speaker: Natalia Kozyura, Head of Innovation Center, FWD Group
We discuss architectural principles that simplify big data analytics. We'll apply these principles to various stages of big data processing: collect, store, process, analyse, and visualise. We'll discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
AWS Summit Singapore 2019 | Microsoft DevOps on AWSAWS Summits
Speaker: Sriwantha Attanayake, Solutions Architect, APAC, AWS
Developers building applications targeting the Windows platform or using Microsoft .NET are used to high-quality tools like Team Foundation Server (TFS) and Azure DevOps. Did you know you can easily integrate these with AWS services to create fully managed CI/CD pipelines that scale easily? Did you know you could use these pipelines to deploy your applications anywhere in an automated fashion? In this session, you will learn how to do hybrid-deployments to cloud and on-premises environments using TFS and AWS CodeDeploy and explore methods to automatically build and deploy ASP.NET/MVC applications to managed IIS environments on AWS using TFS. You will also learn how to automate container deployment with the help of Microsoft TFS and Amazon Elastic Container Service and the art of maintaining your infrastructure as code on TFS.
AWS Summit Singapore 2019 | The Serverless Lifecycle: Development and Operati...AWS Summits
Speaker: Arthi Jaganathan, Solutions Architect, ASEAN, AWS
AWS Lambda and Amazon API Gateway have changed how developers build and run their applications or services. While building simple, individual serverless functions is easy, what are the best practices when your entire application is serverless? How should we go about tasks such as deployment, monitoring, and debugging in a serverless world? In this session, we'll dive into best practices that serverless developers can use for application lifecycle management, CI/CD, monitoring, and diagnostics.
AWS Summit Singapore 2019 | Operating Microservices at HyperscaleAWS Summits
Speaker: Donnie Prakoso, Technology Evangelist, ASEAN, AWS
Most developers today are adopting a micro-services based application design. Microservices can provide higher system reliability, fine-grained scalability and faster development cycles. At hyperscale (thousands to millions of requests per second), however, additional thought, careful design, and greater operational rigor is required. In this session, learn from AWS experts who have extracted four fundamental design principles and best practices for hyperscale applications from the experiences of our customer globally. Aided by live demos, presenters will show how event driven architectures, asynchronous communication, service discover and service orchestration are the pillars of hyperscale systems.
AWS Summit Singapore 2019 | Realising Business ValueAWS Summits
Enterprises are moving to the cloud for more than just saving costs. AWS ever-expanding platform of services delivers business value that extends to Business Agility, Operational Resilience, Increased Staff productivity and an Improved Security posture. Creating a holistic business case that encompasses all these elements is critical, and this session will show how to quantify the other business benefits that your organization can expect with the move to AWS.
AWS Summit Singapore 2019 | Transformation Towards a Digital Native EnterpriseAWS Summits
Speaker: Jon Austin, Enterprise Solutions Architect, ASEAN, AWS
Customer Speakers:
DP Prakash, Global Head of Innovation, CIO Office, GLOBAL FOUNDRIES
Satish Kumar, Infrastructure Engineeer, Autodesk Inc
This session showcases traditional Enterprise businesses that have substantially transformed to become digitally native where technology is a differentiator rather than a overhead. Learn how you can start your business on this journey and unlock the agility, speed to market and innovation that your customers demand.
Speaker: Sanjay Yadave, Head of Enterprise & Migrations Acceleration Team, ASEAN, AWS
This session takes the learnings and best practices from AWS's enterprise cloud migrations and combines them into a prescriptive model (roadmap) to accelerate the cloud journey. It describes streams of activities and deliverables that are required to drive a successful migration. This roadmap is targeted to help all enterprise customers irrespective of where they are at in their cloud transformation journey.