Google Cloud OnAir

Webinar Series
May 2 - 5

Reasons to Attend

Join us and engage with Google’s engineering experts and customer success teams to learn how the modern enterprise is benefiting from the latest in Cloud technology in unprecedented ways.

date_range 4 Days
live_tv 12 Webinars
1 hour each
cloud_done Technical Enablement
Live
forum Live Q&A

Agenda

 

Cloud Computing has helped create new architectural patterns and technologies, but the cloud time machine has not yet been invented. That's why, as an IT leader, it would be helpful to know the gotchas and enablers to keep in mind before heading too far down your cloud journey. In this session we'll introduce you to Google Cloud and what it has to offer. We'll cover everything from infrastructure to data, from collaboration to machine learning.

Why you should attend:

  • Learn about Google Cloud Basics.
  • Learn what makes Google Cloud different.
  • Understand what Google Cloud can offer to your organisation.
1st Live Broadcast:
10:00 AEST|08:00 SGT/HKT|09:00 KST/JST|05:30 IST
2nd Live Broadcast:
18:30 AEST|16:30 SGT/HKT|17:30 KST/JST|14:00 IST
Speaker

Malcolm Holden

Customer Engineer

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Hilary O'Connor

Customer Engineer

Q&A Expert

Liam Tong

Technical Program Manager

How secure is your enterprise? Learn the tools to help you get there from Google Data Loss Prevention to mobile management and more with G Suite.

Why you should attend:

  • Understand the top security concerns of Enterprise customers.
  • Check out our G Suite live demos including Slides and Sheets.
1st Live Broadcast:
13:00 AEST|11:00 SGT/HKT|12:00 KST/JST|08:30 IST
2nd Live Broadcast:
20:00 AEST|18:00 SGT/HKT|19:00 KST/JST|15:30 IST
Speaker

Shaista Aliya

Customer Engineer

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Richard Coombes

Customer Engineer

There are a lot of different ways to think about running code these days. And the tradeoffs are different for existing systems vs. designing a new system. We have solid support for the full spectrum of compute models. We'll help you navigate the tradeoffs and help you decide which models are the best fit for your systems, and how the models map to Google Cloud services: Compute Engine, Container Engine, App Engine and Cloud Functions.

Why you should attend:

  • Learn the difference between GCE, GKE, and App Engine.
  • Learn about the continuum between PaaS and IaaS.
  • Find out where to put your application.
Live Broadcast:
16:00 AEST|14:00 SGT/HKT|15:00 KST/JST|11:30 IST
Speaker

Ashish Ippili

Technical Account Manager

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Prakhar Gautam

Customer Engineer

Q&A Expert

Shaista Aliya

Customer Engineer

 

With the growth of mobile and the internet, collaboration has changed, but for many organisations, their processes haven't. Let's take a look at how G Suite enables your teams to collaborate, iterate, and innovate together, from anywhere, in real time.

Why you should attend:

  • Hear how G Suite can take collaboration and productivity to the next level for your organisation.
  • See G Suite in action and how you can drive cultural change by sharing ideas, collaborating, creating communities and more.
  • Learn what's on the horizon for G Suite and what your organisation can soon do with G Suite tools and services.
1st Live Broadcast:
10:00 AEST|08:00 SGT/HKT|09:00 KST/JST|05:30 IST
2nd Live Broadcast:
18:30 AEST|16:30 SGT/HKT|17:30 KST/JST|14:00 IST
Speaker

Hilary O'Connor

Customer Engineer

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Liam Tong

Technical Program Manager

Q&A Expert

Malcolm Holden

Customer Engineer

Google Cloud Platform (GCP) offers many options for storing your data. From Cloud Storage (Multi-regional, Nearline, Coldline) to the various database services (Cloud Datastore, Cloud SQL, Cloud Bigtable) and data warehousing (BigQuery), learn about the most common workloads and common patterns for data storage. We'll also look decision criteria and the various tradeoffs to consider when choosing your method of data storage.

Why you should attend:

  • Pretty much every project needs to store data.
  • Learn the differences in GCP storage solutions.
  • We will show a handy flow chart for making a data storage decision.
1st Live Broadcast:
13:00 AEST|11:00 SGT/HKT|12:00 KST/JST|08:30 IST
2nd Live Broadcast:
20:00 AEST|18:00 SGT/HKT|19:00 KST/JST|15:30 IST
Speaker

Richard Coombes

Customer Engineer

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Gaurav Anand

Solutions Engineer

Q&A Expert

Tim Sell

Deployment Engineer

In this session, we'll explain some big data basics and provide a survey-level introduction to Google Cloud's big data tools, including Google BigQuery, Cloud Dataproc, Cloud DataLab and Cloud Dataflow. You'll learn how to harness the power of big data with these tools, so that you can turn insights into strategies for your own organisation.

Why you should attend:

  • Find out what services Google offers for data processing.
  • Learn when to use which service.
  • Learn about key differentiation from Google.
Live Broadcast:
16:00 AEST|14:00 SGT/HKT|15:00 KST/JST|11:30 IST
Speaker

Prakhar Gautam

Customer Engineer

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Ashish Ippili

Technical Account Manager

Q&A Expert

Shaista Aliya

Customer Engineer

 

In this session we'll discuss best practices for securing enterprise and cloud-native workloads on Google Cloud Platform. We'll describe a security blueprint that covers securing your virtual networks and infrastructure, and also highlight Google’s experiences in delivering its own services securely.

Why you should attend:

  • Learn how Google Cloud can help scale your security.
  • Learn best practices for implementing a secure cloud.
  • Learn how Google does security in the cloud.
1st Live Broadcast:
10:00 AEST|08:00 SGT/HKT|09:00 KST/JST|05:30 IST
2nd Live Broadcast:
18:30 AEST|16:30 SGT/HKT|17:30 KST/JST|14:00 IST
Speaker

Liam Tong

Technical Program Manager

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Malcolm Holden

Customer Engineer

Q&A Expert

Win Woo

Customer Engineer

Data lakes sound easy enough to create, but what do you do once all of the data is there? How can you explore its murky depths? In this session, we'll talk about how to best make use of a data lake for analytics, reporting and completing the loop with data driven products. We'll discuss tips and best practices. We'll also show tools and methods on Google Cloud Platform that make working with data lakes a great experience.

Why you should attend:

  • Learn what data lakes are.
  • See how to extract value from data lakes.
  • Learn what tools you can use.
1st Live Broadcast:
13:00 AEST|11:00 SGT/HKT|12:00 KST/JST|08:30 IST
2nd Live Broadcast:
20:00 AEST|18:00 SGT/HKT|19:00 KST/JST|15:30 IST
Speaker

Tim Sell

Deployment Engineer

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Gaurav Anand

Solutions Engineer

Q&A Expert

Richard Coombes

Customer Engineer

The great power provided by open source data processing tools has often come with the burden of great responsibility. The open source data processing ecosystem, including Apache Spark and Apache Hadoop, is robust but frequently hard to administer, use at scale and manage. Google Cloud Platform, as the open cloud, can help you utilize these OSS tools at scale, cost effectively, with hands-off management. By combining Google Cloud's strengths in both software and hardware, we offer Google Cloud Dataproc. With Cloud Dataproc, you can quickly, easily, and cost-effectively use the Spark and Hadoop ecosystem, instead of running your own infrastructure. In this session, we'll cover the basics of using Cloud Dataproc to get started with managed Spark and Hadoop within minutes.

Why you should attend:

  • Learn how to migrate to a managed environment.
  • Learn about how Google supports open source implementations in a managed environment.
  • See how to use Dataproc.
Live Broadcast:
16:00 AEST|14:00 SGT/HKT|15:00 KST/JST|11:30 IST
Speaker

Gaurav Anand

Solutions Engineer

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Tim Sell

Deployment Engineer

Q&A Expert

Richard Coombes

Customer Engineer

 

In this session, we'll share an overview of Google Cloud Spanner, Google's mission-critical, relational and scalable application database, which is now publicly available as a managed service on Google Cloud. You'll learn how Cloud Spanner evolved, how Google uses it internally and how you can use it for your next project.

Why you should attend:

  • Learn what Spanner is.
  • Find out what Google uses to run its massive relational data.
  • Find out what technology had to be invented to create a planet-scale database.
  • Learn when your organisation should use Spanner.
1st Live Broadcast:
10:00 AEST|08:00 SGT/HKT|09:00 KST/JST|05:30 IST
2nd Live Broadcast:
18:30 AEST|16:30 SGT/HKT|17:30 KST/JST|14:00 IST
Speaker

Win Woo

Customer Engineer

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Hilary O'Connor

Customer Engineer

Q&A Expert

KJ Pittl

Deployment Engineer

From Functions-as-a-Service to Backend-as-a-Service, even Big Data-as-a-Service, Serverless is taking many different shapes. Learn what these mean and how Google Cloud Platform is building technology to make sure there's nothing standing between you and running your code. You'll see live demos of integration between Firebase, Cloud Functions, Cloud Pub/Sub (and even Machine Learning) to build autoscaling apps in record time - all without managing servers or application runtimes.

Why you should attend:

  • Learn what serverless means.
  • Learn how Google supports serverless across its products.
  • See demos of Firebase, Cloud Function, Cloud Pub/Sub.
  • Never manage a server again.
1st Live Broadcast:
13:00 AEST|11:00 SGT/HKT|12:00 KST/JST|08:30 IST
2nd Live Broadcast:
20:00 AEST|18:00 SGT/HKT|19:00 KST/JST|15:30 IST
Speaker & Host

Jay Jenkins

Customer Engineer

Q&A Expert

Richard Coombes

Customer Engineer

Q&A Expert

Gaurav Anand

Solutions Engineer

Machine Learning technology has finally evolved to the point that it can support your customers interacting with your business through natural human language. In this session you will learn how to use API/AI to map the near infinite variety of human language into your existing business systems. Whether you are investing in IoT, chat-based bots (e.g., Facebook Messenger, Slack), or integrating with the Google Assistant, understanding human language is the user interface model of the future that your customers will expect.

Why you should attend:

  • Learn the most popular business use cases of machine learning and how to leverage machine learning for your own business applications.
  • See live-coding of an AI application.
  • Be ready to create your own chat bot.
Live Broadcast:
16:00 AEST|14:00 SGT/HKT|15:00 KST/JST|11:30 IST
Speaker

KJ Pittl

Deployment Engineer

Host

Jay Jenkins

Customer Engineer

Q&A Expert

Win Woo

Customer Engineer

Speakers

Malcolm Holden

Customer Engineer

Malcolm is a Customer Engineer for the Google Cloud business in Australia, where he helps enterprises take advantage of the Google Cloud Platform to drive better business outcomes. Malcolm has been working in the IT industry for the past 30 years. During this time, his experiences have equipped him with a broad and solid technical grounding, having worked in a variety of roles from mainframe programming, personal computing and networking through to IT Architecture, Enterprise Content Management, Business Process Management and most recently, Cognitive Computing.

Getting Started! An Introduction To Google Cloud

Tues, 2 May

10:00 AEST | 8:00 SGT/HKT | 5:30 IST

Tues, 2 May

18:30 AEST | 16:30 SGT/HKT | 14:00 IST

Tues, 4 May

10:00 AEST | 8:00 SGT/HKT | 5:30 IST

Liam Tong

Technical Program Manager

Liam is a Technical Program Manager on the Google Cloud team in Australia where he helps customers implement Google Cloud technologies to transform and accelerate their businesses.

With a background in solutions architecture and systems integration, Liam has spent the past 15 years working with companies to build and deploy a range of enterprise-wide solutions in areas such as collaboration & mobile technologies, enterprise search, information security and identity management, and has held roles across the US and Asia Pacific.

Hilary O’Connor

Customer Engineer

Hilary is a Customer Engineer for Google Cloud working with both New Zealand and Australian customers to help enable cultural change, and to transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure.

With over 20 years experience in the IT industry Hilary has a substantive technical, business analysis, architecture, project/program management & enterprise software pre sales background, and has enjoyed both management and senior individual contributor positions with global consultancy firms, leading software development houses, and vendors.

Hilary lives in New Zealand, and has a Bachelor of Computing & Mathematical Sciences majoring in Software Engineering. When not indulging her passion for all things gadget & technology related, she can be found on a snowboard.

Google G Suite Collaboration Solutions

Wed, 3 May

10:00 AEST | 8:00 SGT/HKT | 5:30 IST

Wed, 3 May

18:30 AEST | 16:30 SGT/HKT | 14:00 IST

Win Woo

Customer Engineer

Win is a Senior Solutions Architect for Google Cloud Platform in Australia & New Zealand, working with emerging start-ups to major enterprises across a broad range of industries. His portfolio includes the design of cloud-scale clusters for parallel workloads, in addition to big data processing and analytics on next generation technologies using Google cloud services.

Prior to this role, Win has been involved in a range of cloud computing areas at Google, including enterprise collaboration and mobile technologies. With a prior background in advanced information retrieval and knowledge management, he has also advised extensively on the use and application of Google search technologies within enterprise environments.

Before working with Google, Win has held a number of solutions architecture and consulting positions, focusing on analytics and knowledge management at HP/Autonomy, IBM and Sun Microsystems.

Cloud Spanner 101: Google's Mission Critical Database

Fri, 5 May

10:00 AEST | 8:00 SGT/HKT | 5:30 IST

Fri, 5 May

18:30 AEST | 16:30 SGT/HKT | 14:00 IST

KJ Pittl

Deployment Engineer

KJ is a Deployment Engineer for Google Cloud working with newly established Professional Services Organisation helping Australian customers architect and implement solutions on the Google Cloud Platform.

With over 20 years experience in the IT industry KJ started her career on the mainframe and has since established herself as a subject matter expert in application development, BigData processing and machine learning.

KJ lives in Sydney, and has a Masters in Information Systems and is an avid Kite Surfer and Snowboarder.

An Overview Of Machine Learning And Building A Conversational UX With API.AI

Fri, 5 May

16:00 AEST | 14:00 SGT/HKT | 11:30 IST

Tim Sell

Deployment Engineer

Tim is a polyglot developer that loves learning and solving problems. He applies his many years of data engineering expertise to enabling agile analytics and data products. He is guided by prioritising the user experience first.

Building A Data Lake On Google Cloud Platform

Thurs, 4 May

13:00 AEST | 11:00 SGT/HKT | 8:30 IST

Thurs, 4 May

20:00 AEST | 18:00 SGT/HKT | 15:30 IST

Gaurav Anand

Solutions Engineer

Gaurav is a highly motivated, self-driven Big Data Specialist with a solid background in Distributed System Design, Deployment, Building scalable and highly-available systems.

Gaurav has experience in managing scalable real time data platforms, processing more than 1 trillion published messages per day with peaks of 4.5 million messages published per second. Gaurav has extensive hands-on knowledge of handling data pipelines on Hadoop and related applications.Prior to Google , Gaurav worked with Linkedin as a Data Specialist.

Open Source Data Processing On Google Cloud Platform

Thurs, 4 May

16:00 AEST | 14:00 SGT/HKT | 11:30 IST

Jay Jenkins

Customer Engineer

Jay is a Customer Engineer for the Google Cloud business in Asia, and helps organisations transform their current technologies and workplaces in order to support more agile, scalable, and secure digital operations.

Jay has 20 years of experience using transformative technologies for a wide range of industries around the globe. Prior to Google, Jay was a partner at a specialist technology firm focused on agile technology transformation and business process re-engineering. Jay has also worked at global consulting firms where he specialised in business process transformation through technology.

Jay was born in the United States, and has a Masters in Business Administration from the University of Chicago Booth School of Business. For the last 13 years, Jay has lived and worked in Australia, Vietnam, and now Singapore, with his family.

Serverless Computing Options With Google Cloud Platform

Wed, 3 May

13:00 AEST | 11:00 SGT/HKT | 8:30 IST

Wed, 3 May

20:00 AEST | 18:00 SGT/HKT | 15:30 IST

Richard Coombes

Customer Engineer

Richard is a Customer Engineer on the Google Cloud team in Asia where he works with customers to leverage new technologies and processes to transform their business for the fast paced digital age.

Richard has a passion for location-based technologies and has spent the past 18 years helping companies leverage location and spatial information with roles in the Middle East, Europe, United States and APAC.

Richard was born in the United Kingdom, and has a MSc in Geographic Information Systems from Edinburgh University. He has lived with his wife in Singapore for the past 7 years.

Google Cloud Storage Options. Where Do I Store My Data? Deciding Between Object Storage, NoSQL, And Relational Storage

Wed, 3 May

13:00 AEST | 11:00 SGT/HKT | 8:30 IST

Wed, 3 May

20:00 AEST | 18:00 SGT/HKT | 15:30 IST

Ashish Ippili

Technical Account Manager

Ashish is a technical account manager for Google Cloud in India. He has been working with a number of enterprise customers across India on their cloud road map and helping them obtain best out of their cloud investments.

Ashish has over 10 years of experience in managing end to end IT service delivery of infrastructure and applications. Engaging and working with customer leadership team at a strategic level for defining future roadmaps of IT and Business transformation. Prior to Google, he was working with Wipro and iGate on a number of IT transformation projects.

Having spent 7 years in UK, Ashish has returned to India 2 years ago and currently based out of Gurugram along with his family.

Where Should I Run My Code? Deciding Between Compute Engine, Container Engine, App Engine And More

Tues, 2 May

16:00 AEST | 14:00 SGT/HKT | 11:30 IST

Prakhar Gautam

Customer Engineer

Prakhar is a solutions engineer for Google Cloud Platform in India, working with enterprises across a broad range of industries. His portfolio includes helping firms design cloud-scale solutions for high performance, scale & resilience. Prakhar is also deeply focused on helping enterprises with big data processing and analytics on next generation technologies using Google cloud services.

Prior to this role, Prakhar has been involved in a range of cloud computing areas focused on SMAC - social, mobile, analytics & cloud - technologies. Before working with Google, Prakhar has held a number of solution designing and consulting positions at Deloitte, Cognizant & iGATE.

Introduction To Big Data: Tools That Deliver Deep Insights

Wed, 3 May

16:00 AEST | 14:00 SGT/HKT | 11:30 IST

Shaista Aliya

Customer Engineer

Shaista is a Customer Engineer for Google Cloud, catering to enterprise customers in India. She helps build customer trust around Google Security and showcase the Power of Collaboration. She has worked across various industries such as manufacturing, e-commerce and so on. In her previous job roles, Shaista has done presales, business analysis, dev/test for various enterprise customers.

Shaista has a Bachelor of Technology in Computer Science. She has grown up in the middle east and moved back to India about 10 years ago.

Securing Your Collaboration With G Suite

Tues, 2 May

13:00 AEST | 11:00 SGT/HKT | 8:30 IST

Tues, 2 May

20:00 AEST | 18:00 SGT/HKT | 15:30 IST

Registration

Step 1.

Select the timezone that is closest to you.

Step 2.

Select your preferred sessions. Local time will be displayed for each session once the time zone is selected in Step 1.

Getting Started! An Introduction To Google Cloud

Securing Your Collaboration With G Suite

Where Should I Run My Code? Deciding Between Compute Engine, Container Engine, App Engine And More
Google G Suite Collaboration Solutions

Google Cloud Storage Options. Where Do I Store My Data? Deciding Between Object Storage, NoSQL, And Relational Storage

Introduction To Big Data: Tools That Deliver Deep Insights
Securing Your Workloads On Google Cloud Platform

Building A Data Lake On Google Cloud Platform

Open Source Data Processing On Google Cloud Platform
Cloud Spanner 101: Google's Mission Critical Database

Serverless Computing Options With Google Cloud Platform

An Overview Of Machine Learning And Building A Conversational UX With API.AI
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