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The AWS Online Tech Talks is a selection of live online presentations that cover a broad range of topics at varying technical levels. These tech talks feature technical sessions led by AWS solutions architects and engineers, live demonstrations, customer examples and Q&A with AWS experts.

The sessions below are categorized. You can click on the "learn more" drop down arrow to view the detailed description of each session.

Presenter:

Vikram Anbazhagan, Sr. Manager, Product Mgmt, AWS  

Time: March 6, 2017 l 9:00 - 10:00 AM Pacific Time

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Amazon Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.

Learning Objectives:

  • Learn about the capabilities and features of Amazon Lex 
  • Learn about the benefits of Amazon Lex 
  • Learn about the different use cases 
  • Learn how to get started using Amazon Lex

Who Should Attend:

  • Developers

 

Presenter:

AWS Expert

Time: March 27, 2017 l 9:00 - 10:00 AM Pacific Time

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Although there are many ways to optimize the speech generated by Amazon Polly's text-to-speech voices, new customers may find it challenging to quickly learn how to apply the most effective enhancements in each situation.
 
The objective of this webinar is to educate customers about all of the ways in which they can modify the speech output, and to learn some insider tips to help them get the most out of the Polly service.
 
This webinar will provide a comprehensive overview of the available tools and techniques available for modifying Polly speech output, including SSML tags, lexicons, and punctuation.
 
Other topics will include recommendations for streamlining the process of applying these techniques, and how to provide feedback that the Polly team can use to continually improve the quality of voices for you.
 
Learning Objectives:
  • Build a simple speech-enabled app with Polly's text-to-speech voices
  • Learn about the complete set of available SSML tags, and how you can apply them in order to modify and enhance your speech output
  • Learn how you can override the default Polly pronunciation for specific words, by creating a lexicon of these words, along with the pronunciation that matches your needs
  • Learn about how you can use punctuation to modify the way text is spoken by Polly voices
  • Get insider tips on the best speech optimization techniques to apply to each of the most common speech production concerns
  • Discover ways to streamline the process of getting the most out of Polly voices through SSML tags and lexicons
  • Find out the best way to submit your feedback on Polly voices, pronunciation, and the available feature set, so that we can continue to improve this service for you!  

Presenter:

Keith Steward, Ph.D., Specialist (EMR) SA, AWS

Time: February 24, 2017 l 9:00 - 10:00 AM Pacific Time

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Organizations are demanding increasingly faster tools to process and analyze data in real time. Apache Spark and Apache Flink have emerged as popular, open source frameworks to address these requirements. In this tech talk, we provide an overview of these technologies and the differences between them. We show how you can deploy Apache Spark and Flink on AWS to address common big data use cases such as batch and real-time data processing, interactive data science, predictive analytics, and more. We talk about common architectures for running these frameworks on Amazon EMR, including tips to connect to Amazon Kinesis – a platform of managed services that makes it easy to work with real-time streaming data in the AWS Cloud – and Apache Kafka, a popular open source platform for streaming data.

Learning Objectives:

  • Understand common use cases and differences between Apache Spark and Apache Flink
  • Explain deployment modes and best practices for running Spark and Flink on Amazon EMR
  • Identify ways to connect to Kinesis and Kafka for streaming ingest
  • Describe how to architect streaming jobs for durability and availability

Who Should Attend:

  • Technical Decision Makers, IT Developers, Data Scientists, Hadoop Developers

 

Presenter:

Tony Gibbs, Solution Architect, AWS

Time: February 24, 2017 l 10:30 - 11:30 AM Pacific Time

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Analyzing big data quickly and efficiently requires a data warehouse optimized to handle and scale for large datasets. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all of your data for a fraction of the cost of traditional data warehouses. In this webinar, we take an in-depth look at data warehousing with Amazon Redshift for big data analytics. We cover best practices to take advantage of Amazon Redshift's columnar technology and parallel processing capabilities to deliver high throughput and query performance.
 
Learning Objectives:
  • Get an inside look at Amazon Redshift's columnar technology and parallel processing capabilities
  • Learn how to design schemas and load data efficiently
  • Learn best practices for workload management, distribution and sort keys, and optimizing queries
Who Should Attend: 
  • Technical Decision Makers, IT Developers, Software Developers, Engineers

Presenter:

Vivek Raju, Solutions Architect, AWS

Ricky Chang, Professional Services Consultant, AWS

Time: February 23, 2017 l 12:00 - 1:00 PM Pacific Time

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MySQL is a critical application for many organizations and understanding how to optimize deployments in the cloud can be a challenge.  In this technical session, we will guide you through best practices for deploying MySQL leveraging the power for Amazon EBS for storage. We will discuss best practices for getting the most out of your MySQL deployment.

Learning Objectives:

  • Understand key technical implementation concepts
  • Learn how to leverage EBS for MySQL
  • Understand the benefits of the different EBS volume types

Who Should Attend:

  • MySQL Administrators and Developers

Presenters:

Edward Naim, Product Head, AWS

Darryl Osborne, Storage Solutions Architect, AWS

David Green, Enterprise Solutions Architect

Time: February 23, 2017 l 10:30 - 11:30 AM Pacific Time

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Organizations face significant challenges moving their applications to the cloud when they require a standard file system interface for accessing their cloud data. In this technical session, we will explore the world’s first cloud-scale file system and its targeted use cases. Attendees will learn about the Amazon Elastic File System (EFS) features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. We will highlight and demonstrate how to deploy Amazon EFS in one of our most common use cases and will share tips for success throughout.

Learning Objectives:

  • Recognize why and when to use Amazon EFS
  • Understand key technical/security concepts
  • Learn how to leverage EFS’s performance
  • See a demo of EFS in action
  • Review EFS’s economics

Who Should Attend:

  • Security Administrators, Application Developers, and Application Owners who operate or build file-based applications

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