Name: Google Cloud Platform Machine Learning Client Stories
Start: 2019-06-07T15:00:00Z
End: 2019-06-07T15:50:00.000Z
Location: BrightTALK
Rating: 5

Pythian excels at helping businesses use data to compete and win in the cloud-driven data economy by delivering solutions to the toughest data challenges. Pythian on-demand webinars are developed with the VP of IT, Director and Manager of IT in mind.

This webinar is for: 
VP, Director of IT/Manager IT 

Why this topic is important..what business pains does this topic address:
1. Organizations need to consider what business value the new generation of database managed services can add to their business   
After this webinar you will understand:
1. What is Oracle Autonomous Database 
2. What are the underlying components of ADB 
3. Benefits of Oracle ADB

Oracle Autonomous Database - Is it right for you?

In this webinar, you'll learn from Pythian experts who have repeated and proven success with performing Teradata to Google BigQuery migrations. They'll take you through the migration process step-by-step, covering best practices, potential challenges and expert tips and tricks.

What are the Top Takeaways from this Webinar?
1. GCP involves no capital cost expenditure and enables better cost control than Teradata, along with ever-advancing capabilities
2. Gain an understanding of best practices for moving Teradata to GCP
3. Understand how to get from Teradata to the cloud, without having to run both systems at the same time (a problem that can result from failed migrations)
4. Learn how to partner with a tested methodology and certified experts can mitigate risks and get your from here to there without the common migration pains and resulting "double bubble" of running two systems at once for a prolonged period of time

Best Practices for Migrating Teradata to Google BigQuery

After this webinar you will be able to: 1) Understand which services are available in OCI that could best fit your needs 2) Understand  if OCI is a viable option compared to the big 3 cloud providers
3) Understand how Oracle is positioning OCI to their Oracle base

Oracle Cloud Infrastructure - What makes it unique for your Oracle workloads

Optiva, a Canada-based company that develops software for communications service providers, already had plans to migrate to Google Cloud Platform (GCP) to become more agile and reduce costs. But when it acquired another company, it suddenly found itself in possession of many outdated assets located in data centers all over the world—complicating its goal of quickly and easily moving all of its assets to the cloud. Facing a complex and daunting task, the client turned to Google, and partner Pythian.

In 35 minutes you will hear
1. How Optiva and Pythian moved 10 data centers to GCP
2. Learn about the lift & shift with a double-bubble 
3. Challenges Optiva and Pythian encountered during migration

How to save +80% in data center costs migrating to Google Cloud Platform (GCP)

Data Warehouse Offload to the Cloud: is Google Big Query Right for You?

Google BigQuery’s serverless architecture can help your data warehouse grow to Petabyte scale for innovative analytics applications like reporting and data warehousing

To help you navigate your decision on whether Google BigQuery is the right choice for your data warehouse needs, we have prepared a 2-part video Q&A featuring Google BigQuery Product Manager, Chad W. Jennings, and Pythian Cloud Expert, Vladimir Stoyak, to provide you with deeper insights into the features and use cases of BigQuery.

Part 2 will cover 
1. What new skill sets are required for a cloud-based data warehouse
2. Example of an enterprise who have offloaded their data warehouse to Google Big Query and the benefits realized
3. Predicting monthly pricing for cloud data warehouses.

Google Big Query Q&A: PART 2

Data Warehouse Offload to the Cloud: is Google Big Query Right for You?

Google BigQuery’s serverless architecture can help your data warehouse grow to Petabyte scale for innovative analytics applications like reporting and data warehousing

To help you navigate your decision on whether Google BigQuery is the right choice for your data warehouse needs, we have prepared a 2-part video Q&A featuring Google BigQuery Product Manager, Chad W. Jennings, and Pythian Cloud Expert, Vladimir Stoyak, to provide you with deeper insights into the features and use cases of BigQuery.

Part 1 answers 
How has the data warehouse landscape evolved?
What is driving the need to offload data warehouses to the cloud?
What are the different migration approaches?

Google Big Query Q&A Part 1

Is your data in Hadoop? Should you migrate to the cloud? 

This webinar will cover how to: 1. overcome scalability limits of the on-premise Hadoop deployment by using cloud; 2. reduce time to value by eliminating provisioning and deployment time by using automation inherent with cloud deployments; 3. reduce development efforts by replacing parts of Hadoop workload with cloud-native services

Evolving your Hadoop Investment to the Cloud - Part 1

What is application refactoring? Should you refactor or not? Should you lift and shift, partially refactor, or completely refactor your apps when porting to the cloud? Chris Presley, Alex Zadoroshnyi and Pierig Le Saux discuss these topics and more in the first part of our Application Migration webinar series.

Degrees of Application Refactoring to Cloud Native

Microsoft Data Platform 2017 is the latest, most up-to-date version of Microsoft’s Azure and SQL Server platforms, with many new features to discover. But where do you start?

Listen to this webinar to learn:
1. What improvements did Microsoft focus on in this upgrade?
2. Are you being too cautious when upgrading?
3. What are the differences between on-premise and cloud with this release?


Microsoft Data Platform 2017 New Features and Why to Upgrade

Microsoft Data Platform 2017 is the latest, most up-to-date version of Microsoft’s Azure and SQL Server platforms, with many new features to discover. But where do you start?

From Google Next 2019, April 9-11 in San Francisco.  Pythian’s Cloud CTO presented two very different companies and their machine learning applications based on Google Cloud Platform. 

Teck Resources, one of the world’s largest mining companies and English and Wales Cricket Board, a major sports and entertainment organization.   Two very different machine learning solutions, predictive maintenance and sports analytics. 

This Google Next’19 replay will demonstrate how to take an idea to a working production machine learning solutions.  Working with structured and unstructured data leveraging Cloud Storage, DataFlow, Pub/Sub, BigQuery, Bigtable, Cloud Composer, Kubernetes Engine.

Google Cloud Platform Machine Learning Client Stories

Machine Learning

Google Cloud Platform

Analytics

Cloud Storage

DataFlow

BigQuery

Bigtable

Kubernetes

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Google Cloud Platform Machine Learning Client Stories

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