Turn Data into Insights

Watch on-demand - AWS Data, Databases, and Analytics Online Series. This free online series is designed to educate you about AWS services, help you to design, deploy, and modernize your data architecture. Learn how to unlock the real value from your data and create a foundation for rapid innovation while achieving agility, scalability, and cost-savings.

Hear the very latest in data and analytics from Olivier Klein, Lead Technologist, AWS and Dean Samuels, Lead Architect, AWS, uncover how organizations are harnessing the power of data to accelerate innovation in their businesses.

Dive deep into the steps to move your data, and modernize your databases, data and analytics architecture. Explore key concepts, use cases and best practices to save time and costs managing data, eliminate data silos, gain accurate insights faster, and accelerate time to market. Whether you are new to the cloud, or an experienced user, you can learn something new working with AWS.

+200,000

databases have migrated
to AWS 

50%

less expensive than all other cloud data warehouses

99.999999999%

of data durability with
Amazon S3

10’s of thousands

of customers use data lake and data warehouse on AWS 

Highlights

Opening

Breakout sessions

Technical demos & hands-on tutorials

Live Q&A

Session Description

  • DAY 1 (On-Demand)
  • DAY 2 (On-Demand)
  • DAY 1 (On-Demand)
    • Opening Session
    • Track 1: Data Movement & Management
    • Track 2: Migrate your Databases & Data Warehouse to AWS
    • Track 3: Modernize your Databases & Data Architecture
    • Opening Session
    • Opening Session

      Get the latest in data and analytics from Olivier Klein. Uncover how organizations are harnessing the power of data to accelerate innovation in their businesses.

      Speaker: Olivier Klein, Lead Technologist, AWS

    • Track 1: Data Movement & Management
    • How to ingest data seamlessly to build your data lake (Level 200)

      When customers embark upon building their data lake, the process of moving large scale data from different systems to AWS cloud can seem daunting. In this session, we look at simple and efficient AWS mechanisms that you can utilize to populate your AWS data lake with your data. We cover how the AWS Transfer Family, AWS Storage Gateway, AWS DataSync, and the AWS Snow Family can help you simplify and accelerate your data lake journey.

      Speaker: Wali Akbari, Storage Solutions Architect, AWS

      Build your data lake on Amazon S3 in days (Level 200)

      Flexibility is critical when building and scaling data lakes, and by choosing the right storage architecture, you can have the agility to experiment and migrate with the latest analytics solutions quickly. In this session, we explore the best practices for building a data lake on Amazon S3, which allow you to leverage an entire array of comprehensive, secure, scalable, and cost-effective portfolio of services and analytics tools, helping you remain at the cutting edge. We explain use cases for analytics tools, including Amazon EMR and AWS Glue, and query-in-place tools like Amazon Athena and also how, with the help of AWS Lake Formation, you can set up a secure data lake in days.

      Speaker: Kumar Nachiketa, Senior Partner Solutions Architect, AWS

      Accelerating data analytics with cloud-native file storage (Level 300)

      Building analytics practices into a core competency is critical for modern businesses and a core tenet of a digital innovation strategy. Many data scientists require a shared workspace to foster collaboration, access common datasets and develop performant training models. The AWS File Storage Services of Amazon EFS and Amazon FSx for Lustre enable organizations to provide the launch pad for greater collaboration and high performance computing needs. In this session, we provide an overview of both services linked to specific analytics use cases.

      Speaker: Luke Anderson, Storage Sales Leader, AWS

    • Track 2: Migrate your Databases & Data Warehouse to AWS
    • Migrate and modernize from legacy databases to AWS (Level 200)

      Organizations today are looking to free themselves from the constraints of on-premises databases and leverage the power of fully managed databases in the cloud. This session shows why you should consider moving your on-premises Oracle and SQL Server deployments to AWS and how you can achieve it. We explain the benefits of AWS managed database services, discuss migration options, and demonstrate how to migrate a legacy database to a cloud native database in AWS with minimum downtime. Along the way you will learn about migration tooling and automation with AWS Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) which can be used to facilitate your transformation and migration. Find out how Amazon migrated more than 7,500 databases from Oracle to AWS to achieve database freedom.

      Speaker: Matt Mcclernon, Senior Technical Account Manager, AWS

      Deploying open source databases on AWS (Level 300)

      Fast-growing companies and enterprises prefer open source databases for their low cost, community-backed development and support, and large ecosystems of tools and extensions. However, they can be difficult and time-consuming to manage in production. In this session, learn how AWS database services make it easy to deploy and manage open source databases in the cloud with performance, scalability and availability. See how AWS database services provide the simplicity and cost-effectiveness of open source while automating time-consuming administrative tasks.

      Speaker: Orlando Andico, Solutions Architect, AWS

      Migrate your on-premises data warehouse to Amazon Redshift (Level 200)

      Most companies are over-run with data, yet they lack critical insights to make timely and accurate business decisions due to cost, complexity, and rigid architectures of traditional data warehouses. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. Amazon Redshift offers optimization for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solution and extends queries to the data lake with no data movement needed. In this session, we discuss how moving to Amazon Redshift enables you to unlock better price-performance and scale, automate administrative tasks, natively integrates with your data lake and enables you to analyze open data formats without the need to load, transform, or move the data.

      Speaker: Noman Jaffery, Specialist Solutions Architect, Data Warehouse, AWS

    • Track 3: Modernize your Databases & Data Architecture
    • Purpose-built databases: Choose the right tool for each job (Level 200)

      Seldom can one database fit the needs of multiple distinct use cases. The days of the one-size-fits-all monolithic database are behind us and highly distributed applications are using many purpose-built databases. The world is changing, and the categories of databases continue to grow. We are increasingly seeing customers wanting to build Internet-scale applications that require diverse data models. In response to these needs, we now have the choice of relational, key-value, wide column, document, in-memory, graph, time-series, and ledger databases. Each solves a specific problem or group of problems. In this session, learn how AWS purpose-built databases meet the scale, performance, and manageability requirements of modern applications.

      Speaker: Thiago Dolabella, Principal Technical Account Manager, AWS

      Building modern application with modern databases (Level 300)

      Applications today require databases with unlimited scale that respond quicker than ever before. Applications such as those use for ecommerce and social media applications and connected devices need more than what traditional databases offer. In this session, learn how AWS databases are built for the scale and performance needs of today’s applications, without the complexity of running massively scalable, distributed databases, allowing you to build applications rather than manage infrastructure. Because our purpose-built databases are optimized for the data model you need, your applications can scale and perform better at 1/10 the cost versus commercial databases.

      Speaker: Denys Dobrelya, Senior Data Architect, AWS

      Extreme performance at cloud scale: Supercharge your real-time applications (Level 300)

      Real-time applications such as caching, session stores, gaming leaderboards, ride-hailing, ad-targeting, and real-time analytics need microsecond latency and high throughput to support millions of requests per second. Traditionally customers have relied on specialized hardware, proprietary in-memory databases, and workarounds such as disk-based databases combined with data reduction techniques to manage data for real-time applications. In this session, learn how AWS offers high performance in-memory database services that are purpose-built to power your real-time applications.

      Speaker: Blair Layton, Tech BD Database, AWS

  • DAY 2 (On-Demand)
    • Opening Session
    • Track 1: Accelerate insights from your Data
    • Track 2: Accelerate insights from your Data
    • Opening Session
    • Opening Session

      Hear key concepts, use cases, and future trends in analytics from Dean Samuels, Lead Architect, AWS. Learn how to eliminate data silos, modernize your data and analytics architecture, and unlock the real value from your data to create a foundation for rapid innovation while achieving agility, scalability, and cost-savings.

      Speaker: Dean Samuels, Lead Architect, AWS

    • Track 1: Accelerate insights from your Data
    • Data warehousing on AWS: Amazon Redshift use cases and deployment patterns (Level 200)

      The amount of data generated by IoT, smart devices, cloud applications, and social is growing exponentially. You need ways to easily and cost-effectively analyze all of this data with minimal time-to-insight, regardless of the format or where the data is stored. Amazon Redshift powers the lake house architecture – enabling you to query data across your data warehouse, data lake, and operational databases to gain faster and deeper insights. In this session, we explain and share some of the latest patterns and use cases leveraging Redshift's Lake house architecture. With a lake house architecture, you can store data in open file formats in your Amazon S3 data lake. This allows you to make this data available easily to other analytics and machine learning tools rather than locking it in a new silo. Walk away knowing how to turn data into insights in Amazon Redshift data warehouse and Amazon S3 data lake at the best performance and lowest cost.

      Speaker: Anna Coniglio, Data Warehouse Solutions Architect, AWS

      Processing Big Data with Hadoop, Spark, and other frameworks in Amazon EMR (Level 300)

      Amazon EMR provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data. You can also run other popular distributed frameworks such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. EMR Notebooks, based on the popular Jupyter Notebook, provide a development and collaboration environment for ad hoc querying and exploratory analysis. In this session, learn how data pipelines are currently evolving to be more elastic and scalable, and how Amazon EMR securely and reliably handles a broad set of big data use cases, including data transformations (ETL) and machine learning.

      Speaker: Aneesh Chandra PN, Big Data Solutions Architect, AWS

      Building scalable, secure log analytics with Amazon Elasticsearch Service (Level 200)

      You have servers, you have applications, and you have microservices. This inevitably means that you also have logs. They are not the most exciting data that your systems generate, but many times, they are the most useful for real-time application monitoring, root-cause analysis, security analytics, and more. In this session, learn how to get data into Amazon Elasticsearch Service, and how to use Kibana to visualize the insights from your log data. Get best practices and find out how customers are using Amazon Elasticsearch Service to ingest, analyze, and search their log data, at multi-petabyte scale.

      Speaker: Tom McMeekin, Senior Solutions Architect, AWS

    • Track 2: Accelerate insights from your Data
    • Building data integration services for real-time on AWS (Level 200)

      For many use cases timing is critical and the value of data diminishes rapidly. This means that every micro-second counts. In this session, learn how we provide customers with fully managed streaming options, enabling data to be collected, stored and processed as soon as it is created. Find out how to decide which of the services are best suited to your needs so you can derive insights in seconds or minutes instead of hours or days.

      Speaker: Kerry Mcrae, Solutions Architect, AWS

      Unite streaming and batch analytics with AWS Glue (Level 300)

      When processing data with velocity, there is usually a delay between the point when data is collected and its availability in reports and dashboards. Often the delay results in the need to validate or at least identify the granular data. In this session, learn how to extract, transform, and load (ETL) with AWS Glue and understand how to simplify your data architecture to handle streaming and batch sources. Get tips to go from collecting, processing and joining variety of data with different velocity, including querying and visualizing the data.

      Speaker: Melody Yang, Data & Analytics Specialist Solutions Architect, AWS

      Embedding analytics into applications with Amazon QuickSight (Level 200)

      Users need reports, visualizations, and insights quickly, so they can act immediately when unusual business events occur. In this session, learn how to easily enhance your applications with rich, interactive data visualizations and analytics without any custom development. This allows you to drill into the underlying data for further exploration and identify any business patterns and trends. We also share insights on how customers are using Amazon QuickSight’s embedded analytics capabilities and APIs to programmatically manage and deploy powerful dashboards and reporting features into their applications.

      Speaker: Eshaan Anand, Partner Solutions Architect, AWS

Level 100
Introductory
Sessions are focused on providing an overview of AWS services and features, with the assumption that attendees are new to the topic.
Level 200
Intermediate
Sessions are focused on providing best practices, details of service features and demos with the assumption that attendees have introductory knowledge of the topics.
Level 300
Advanced
Sessions dive deeper into the selected topic. Presenters assume that the audience has some familiarity with the topic, but may or may not have direct experience implementing a similar solution.
Level 400
Expert
Sessions are for attendees who are deeply familiar with the topic, have implemented a solution on their own already, and are comfortable with how the technology works across multiple services, architectures, and implementations.

Featured Speakers

Olivier Klein
Olivier Klein, Lead Technologist, AWS

Olivier is a hands-on technologist with more than 10 years of experience in the industry and has been working for AWS across APAC and Europe to help customers build resilient, scalable, secure, and cost-effective applications and create innovative and data-driven business models. He advises on how emerging technologies in the artificial intelligence, machine learning, and IoT spaces can help create new products, make existing processes more efficient, provide overall business insights, and leverage new engagement channels for consumers. He also actively helps customers build platforms that align IT infrastructure and service spending with revenue models, effectively reducing waste and disrupting the product development process that had been executed in the decades prior to that.

Dean Samuels
Dean Samuels, Lead Architect, AWS

Dean comes from an IT infrastructure background and has extensive experience in infrastructure virtualization and automation. He has been with AWS for the past five years and has had the opportunity to work with businesses of all sizes and industries, primarily across Australia and New Zealand, but also across the wider APAC region. Dean is committed to helping customers design, implement, and optimize their application environments for the public cloud to allow them to become more innovative, agile, and secure. While Dean does have a strong IT infrastructure background covering compute, storage, network, and security, he is very focused on bringing IT operations and software development practices together in a more collaborative and integrated manner.

FAQs

1. Where is the event hosted?
2. What is the price of attending the online event?
3. Who should attend this online event?
4. Can I get a confirmation of my registration?
5. Are there sessions in other languages?
6. How can I contact the online event organizers?

Q: Where is the event hosted?
A: AWS Data, Databases, and Analytics Online Series is an online event

Q: What is the price of attending the online event?
A: AWS Data, Databases, and Analytics Online Series is a free online event.

Q: Who should attend this online event?
Whether you are new to AWS or an experienced user, you can learn something new at AWS Data, Databases, and Analytics Online Series.

Q: Can I get a confirmation of my registration?
After completing the online registration, you will receive a confirmation email.

Q: Are there sessions in other languages?
A: We have sessions in Korean, Bahasa Indonesia, Vietnamese and Thai.

Q: How can I contact the online event organizers?
A: If you have questions that have not been answered in the FAQs above, please email us.


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Opening
Hear the very latest in data and analytics from Olivier Klein, and Dean Samuels, and discover how other organizations are unlocking new insights and value from data to accelerate innovation in their businesses.

Breakout sessions
Explore key concepts and best practices that help you save time and costs managing data, eliminate data silos, gain accurate insights faster, and accelerate time to market.

Technical demos & hands-on tutorials
Dive deep into technical stacks, learn how AWS experts have helped solve real-world problems for customers, try out these demos with step-by-step guides, and walk away with the ability to implement these or similar solutions in your own organization.

Live Q&A
Get your questions answered by AWS experts on the live day.