Name: Building an ML Foundation for Google BigQuery ML & Looker
Start: 2021-04-14T16:30:00Z
End: 2021-04-14T16:30:33.000Z
Location: BrightTALK
Rating: 5

2nd Watch is an AWS Premier Consulting Partner, Google Cloud Partner and Microsoft Azure Gold Partner providing professional and managed cloud services to enterprises. The company’s subject matter experts and software-enabled services provide companies with tested, proven, and trusted solutions with a focus on six solution areas: Enterprise Cloud Migration, Security and Compliance, Cloud Native and DevOps, Optimization, Data Engineering and Analytics, and Managed Services.

The Lake House architecture is an innovative approach to getting the best of the cloud while saving money. Take advantage of your "hot" data and cycle out the data that doesn't get used as much, back into S3 for static storage. This allows you to use the high-speed performance of Redshift for only the most important data and then save money by storing less-important data in less expensive, static storage. 

Join data experts from 2nd Watch and AWS for an in-depth look at this pattern and how it can save you money while making you even more productive and decisive with your data. We will review industry-specific use cases, and share how Lake House is essential for cost-effectively solution for analyzing high volume use cases like streaming data.

Agenda
* Presentation including industry use cases - 25 minutes
* Demo: Build lake house, Crawl data, Load data into Redshift, Redshift spectrum: 10 - 15 minutes
* Q&A : 5 minutes

Winning Tactics for a Redshift Lake House

The Media & Entertainment (M&E) Industry is in a constant state of evolution, building new content experiences and creating more efficient ways to capture and retain, locally and globally. The ongoing pandemic has revealed gaps in your digital systems that reduce visibility for your remote working teams, impacting collaboration and stunting growth.

While content and creativity are at the heart of M&E, technology driven by advances in high-speed access, mobility, elastic cloud resources, analytics, machine learning and social network distribution are super charging business growth opportunities while reducing complexity and risk.

Join the 2nd Watch team and M&E tech expert, David Bloom, as we discuss how companies are solving challenges in a hybrid work environment, how consumer data is making an impact, while ensuring innovation and security is at the top of mind.

A Post Pandemic World: A Guide for Media & Entertainment in the Cloud - Panel

More organizations are leveraging machine learning for innovations and deeper insights into the business. It starts by building or modernizing the data and analytics foundation in order to better manage the flow and access of the data. Machine learning only works when you have reliable data, ML works better with lots and lots of data, and ML works the best with lots and lots of clean and real-time data. 
 
Join us for this webinar and demo to learn about the pillars for successful deployment of cloud data and analytics and how to leverage data to build machine learning pipelines. 
 
Agenda: 
•	Modern data and analytics frameworks 
•	AWS cloud data and analytics platforms 
•	Building ML data pipelines using SageMaker and Amazon Redshift ML 
•	Demo – ML use case deployment on Amazon Forecast

Building an ML foundation for AWS SageMaker & Amazon Forecast

Organizations are leveraging the cloud to deliver a variety of analytics solutions with different levels of sophistication. Some use the cloud primarily to store data while others are leveraging the cloud to innovate and gain a competitive advantage. 
 
Join 2nd Watch for this webinar where we discuss cloud data and analytics on AWS and your guide to develop a proven data strategy to manage all your data in the cloud and deliver analytics powered by machine learning. The guide focuses on key steps to capture all your business data and ingest it into the best platform for the best fit, build a data catalog, apply data quality, governance, and protection, develop automated data pipelines, and deliver analytics and BI. 

Agenda: 
•	Modern data and analytics frameworks 
•	Cloud data and analytics platforms 
•	AWS Cloud Platform 
•	Getting started with best practices

Your Guide for Data and Analytics on AWS

Each live attendee will receive a $25 GrubHub gift. Register now!

Being data-driven is not optional and all organizations must adopt and deploy a modern data and analytics strategy to remain competitive. The cloud makes it easy for organizations to adopt a data-driven strategy, but the cloud is very dynamic with constant innovations. Without data and analytics vision and strategy your cloud solution can soon become outdated and will require modernization. 
 
Join 2nd Watch for lunch a discussion on cloud data and analytics trends, modern frameworks, and cloud analytics platforms. We will highlight six essential tactics to help you execute on the company’s vision and strategy. 
 
Agenda: 
•	Cloud data and analytics trends 
•	Modern data and analytics frameworks 
•	Cloud data and analytics platforms 
•	Modernization strategy 
•	Getting started best practices

6 Essential Tactics for your Data & Analytics Strategy

Data and application modernization initiatives will transform your business.  They can increase operating margins and management models and also empower your development team to drive innovation.  

Google Cloud is an ideal platform to run Data intensive applications. 

Join 2nd Watch over lunch and learn how we can help you safely migrate Data and Modernize applications to Google Cloud.  During this session you will understand how to:

* Improve business agility with data driven decisions, based upon insights from powerful cloud analytics and AI tools.

* Develop your Data strategy and find out what it takes to evolve both in technology and culture to transform your organization to be more data-driven.

* Use the features and capabilities of Google Cloud to scale your business.

*Learn how to prioritize your transformation game plan by understanding the level of effort and potential performance improvements for each of your applications.

Understanding Data Analytics on Google Cloud Lunch & Learn

Outpace your competitors with innovative leadership, at better operating margins using Azure Application Modernization framework. 

Data and application modernization initiatives can transform both your operating margins and management models. Empowering your engineering team to drive innovation. Improve business agility with data driven decisions, based upon insights from powerful cloud analytics and AI tools. 

Learn how to prioritize your transformation game plan, by understanding the level of effort and potential performance improvements for each of your applications. Join 2nd Watch over lunch and learn how we can help you quarterback a scoring drive for your organization.

Lunch & Learn Huddle: Your Game Plan for Application Modernization in the Cloud

IT leaders today are faced with significant challenges - supporting remote workers, increased cyber security threats, implementing new technology to improve IT efficiency, and the growth and dependence on cloud computing.

Many times, migrations to public cloud are based on the infrastructure currently running in an organization's data center and do not take advantage of the enhanced features in the cloud. The sooner you start thinking about Optimization and Application Modernization, ideally prior to a migration, the more efficiently your environment will run and the more cloud waste can be eliminated, resulting in lower costs and improved performance.

How is this accomplished? Unfortunately, there is no “easy button” to evolving your cloud environment. It begins with a shift in thinking. Traditional cloud savings methods are still very important, and if you take those same concepts and apply them up the stack, you can achieve more efficiencies and position yourself well for the future.

Join 2nd Watch and New Relic for a fun, interactive, in-depth discussion around the methodologies used to obtain true Application Modernization and Optimization across all aspects of your Cloud Environment.

Application Modernization: How to Boost Your Bottom Line - Panel Discussion

A successful digital transformation means alignment between business and IT. We see a lack of support between business units when there is a perceived opposition of the other’s goals. 
 
Greater alignment means achieving speed, security, operational efficiency, cost controls and governance while providing greater value to the business and end customers.
 
Common goals among business and IT units is a critical component for success during a digital transformation. Come explore with us the most effective way to get there.

How Business & IT Should Think About Cloud Migration

More organizations are leveraging machine learning for innovations and deeper insights into the business. It starts by building or modernizing the data and analytics foundation in order to better manage the flow and access of the data. Machine learning only works when you have reliable data, ML works better with lots and lots of data, and ML works the best with lots and lots of clean and real-time data. 
 
Join us for this webinar and demo to learn about the pillars for successful deployment of cloud data and analytics and how to leverage data to build machine learning pipelines. 
 
Agenda: 
•	Modern data and analytics frameworks 
•	Google cloud data and analytics platforms 
•	Building ML data pipelines on Google BigQuery ML 
•	Demo – ML use case deployment on GCP with Looker

Building an ML Foundation for Google BigQuery ML & Looker

BigQuery

Data Analysis

Data Analytics

Data Best Practices

data modernization

Google Cloud

Looker

Machine Learning

Real Time Analytics

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Building an ML Foundation for Google BigQuery ML & Looker

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