Building and scaling new business models to gain insights from disparate data faster, while reducing IT costs, requires an architecture that can go from prototype to petabyte scale as your needs evolve. Google BigQuery’s serverless architecture can help ensure that your enterprise data warehouse withstands growth at any scale. Informatica helps you unlock the power of hybrid data with high performance, highly scalable data management solutions that efficiently move and manage large volumes of data to Google BigQuery. Join us to get a peek under the hood and see what makes Informatica and Google BigQuery the best combination for modernizing your data architecture.
Naresh Venkat, Business Development, Google Cloud Platform and Alex Corstorphine, Solutions Architect, Dome9 Security
The Google security model is built on over fifteen years of experience in keeping customers safe while using Google applications. The security architecture of the Google Cloud Platform (GCP) is based on the same foundation and offers enterprises the tools they need to secure their data and applications in the cloud. Organizations deploying workloads on GCP need to understand the fundamental ways in which security in the public cloud is different from traditional datacenter security and use the right tools to harden their cloud environments.
Join Alex Corstorphine, Solutions Architect at Dome9 Security, and Naresh Venkat with the Google Cloud Strategic Technology Partnerships team, as they discuss best practices and common pitfalls around managing security, compliance, and governance in GCP environments. They will review GCP network security best practices and available compliance certifications, and provide practical examples of how to harden your cloud network environment.
The webinar will include a live demo of the Dome9 Arc SaaS platform that offers greater network visibility, control, and active enforcement in the cloud. Additionally, we will show how the Dome9 Compliance Engine allows businesses using GCP to assess their compliance posture, identify risks and gaps, fix issues such as overly permissive security group rules and weak password policies, enforce requirements and prove compliance in audits.
In this 45 minute webinar you will learn:
- Key features and capabilities of the GCP network security model
- How to gain visibility into network security posture and misconfigurations
- How to harden your Google Cloud environment by applying security best practices
Ben Chong, Google Cloud Storage Product Manager, Google; Krishna Subramanian, COO, Komprise
You know 60%+ of data in your organization is inactive or cold, yet it continues to consume expensive primary storage resources. Cloud offers an opportunity to store this cold data and achieve 70%+ savings – but how do you identify the cold data and who owns it, who is using it, and move it without any disruption to users or applications?
Join this webinar to learn:
- How data is growing and being used across your storage (NFS and SMB/CIFS) using software from Komprise, a Google Cloud Technology partner
- How to project ROI of moving cold data to Google Cloud Storage based on your policies
- How to move data transparently to Google Cloud Storage without changing file-based access for users and applications
Webinar attendees will qualify for a special free trial (up to 100TB) to get a customized analysis of your storage environment and ROI of moving to the cloud
To learn more about Komprise and Google cloud storage, click here: https://www.komprise.com/google/
Michael Basilyan, Google Cloud Platform; Scott Jeschonek, Avere Systems; Rob Futrick, Cycle Computing
Google Cloud Platform, Avere Systems, and Cycle Computing experts will share best practices for advancing solutions to big challenges faced by enterprises with growing compute and storage needs. In this “best practices” webinar, you’ll hear how these companies are working to improve results that drive businesses forward through scalability, performance, and ease of management.
In this webinar, you will learn:
- How enterprises are using Google Cloud Platform to gain big compute and storage capacity on-demand
- Best practices for efficient use of cloud compute and storage resources
- Overcoming the need for file systems within a hybrid cloud environment
- Understand how to eliminate latency between cloud and data center architectures
- Learn how to best manage simulation, analytics, and big data workloads in dynamic environments
- Look at market dynamics drawing companies to new storage models over the next several years
In just 60-minutes, you’ll be presented with a foundation to build infrastructure to support ongoing demand growth and have ample opportunity to ask direct questions to presenters.
Join CloudEndure’s Gonen Stein and GCP’s Andy Tzou as they discuss how companies can take full advantage of the cloud using the talent, technology, and applications they already have. They'll dive into the technology behind a free cloud migration service that utilizes CloudEndure’s continuous, block-level replication to provide disruption-free migration to Google Cloud Platform.
This video will provide an overview of key considerations for IT and live-demonstrate Google Cloud and CloudEndure's partnership to create a self-service VM migration solution for enterprise. Whether it's on-prem or in the cloud already, move your existing server infrastructure to Google Cloud Platform at no cost.
Have you been waiting for the right moment to migrate to the cloud? Get your questions answered about how companies are using the new automated migration service to seamlessly migrate to the cloud.
Bernard Sanders, CTO and Cofounder, CloudBolt; Chris Sells, Product Management Lead, Google Cloud Developer Tools
Enterprise IT organizations looking to get a foothold into public cloud need solutions that deliver the efficiency and innovation promised by cloud platforms—without throwing away the investments they've made in on-prem technology, policies, and skills.
Creating self-service Development & Test (or Dev/Test) environments is one of the first and most popular cloud workloads enterprise IT organizations explore in their journey to cloud. Google Cloud and CloudBolt have partnered to create a hybrid cloud solution for this important workload that's easy to set up, and can be fully tailored to your environment. CloudBolt is a cloud management platform that integrates your on-prem virtualization and private cloud resources with the public cloud, serving as a bridge between your existing infrastructure and Google Cloud Platform.
With these hybrid solutions, users can rapidly provision the resources they need through an intuitive self-service portal. IT organizations maintain full control over system configuration, usage quotas, and cost transparency. By delivering a self-service, fully auditable alternative to shadow IT, CloudBolt and Google Cloud let you tap the latest cloud innovations from Google directly from the technology you're already familiar with on-prem.
For more details, check out: https://www.cloudbolt.io/self-service-devtest-envs/
There a number of major decision points in the journey to the cloud that can have a substantial impact on your success. In-depth, granular analytics are the only way you can make those decisions with ease and confidence. Capturing the right insights will ensure you know which cloud configuration is optimal for your workload, and how you should go about migrating your infrastructure to the cloud.
In this webinar, you’ll learn:
The top questions to consider when assessing your cloud options and planning for migration
How to take a strategic, data-driven approach to moving to the cloud
Which analytics are essential to choosing the right cloud configuration for your infrastructure
How to successfully plan your cloud migration
Different applications and workloads require different storage solutions. Google Cloud Platform offers a full suite of solutions to meet your needs, from a hobbyist in a garage to a Fortune 500 company. This session will help you understand which solutions fit your scenarios, be they mobile applications, hosting commercial software, data pipelines, or storing backups.
Brian Stark, Product Manager at Google Cloud Platform
In this 10 minute video, Brian Stark, a product manager for Google Compute Engine, discusses how to move your virtual machine into the cloud. The reasons form migrating to Google's Cloud Platform are discussed along with a framework for cloud migrations. Then the mechanics of workload assessment and migration are covered. A number of technology partners, who can assist in these migrations, are introduced, along guidelines of which problems they solve.
Peter-Mark Verwoerd, Cloud Solutions Architect, Google
Moving to the cloud can be daunting; often organizations struggle understanding where to begin and the steps required to realize a migration. In this one hour webinar, Google's migration architect, Peter-Mark Verwoerd will walk through a framework on how to assess cloud migration. Though the course of this presentation, you will also become familiarized with the services offered by Google Cloud Platform.
Craig Box, Cloud Platform Solutions Engineer, Google Cloud Platform
Craig Box, Cloud Platform Solutions Engineer, Google Cloud Platform, explores how Google BigQuery puts the processing power of Google's infrastructure at your fingertips, allowing you to query massive data-sets, super-fast.
If you want to analyze terabytes of data in seconds, Google BigQuery might be the simplest and fastest tool to do so. If you are wondering "What is BigQuery?" and "Why should I care?", this video has the answers.
Brian Dorsey, Developer Programs Engineer (Developer Relations, Google
Learn the fundamentals of Google Compute Engine in less than five minutes. Brian will explain the key services and how they work together to run your applications on Google's infrastructure. Automation and APIs are next, wrapping up with pointers to further details.
Vish Agashe, Global Product Lead, Google Cloud Platform; James Chittenden, Solutions Engineer, Google Cloud Platform
Google BigQuery is an analytics service offered in the cloud as a part of Google Cloud Platform portfolio. In this webinar we will explore how customers are using BigQuery to jumpstart their BigData Analytics initiatives. We'll also provide details on how you can get started with BigQuery.
Eric Morales, Cloud Platform Program Manager and Brian Squibb, Cloud Solutions Engineer
The Infrastructure as a Service space is rapidly expanding, but is it evolving to meet your needs? Google Compute Engine was designed to help users build, scale, and analyze quickly on the same infrastructure that powers the most advanced and innovative technology in the world. Learn what happens when the cloud gets a little more Googley.
Dave Elliott, Global Product Lead, Google Cloud & Mike Graboski, Cloud Engineer, Google Cloud
Too much data, complexity, and money, not enough time. Storage is a dynamic industry with unique, escalating challenges. There are many products and technologies available to meet your storage objectives. Why choose Google’s Cloud Platform? Learn five reasons Google Cloud Storage is becoming the new ‘gold standard’ in cloud storage.
The Google Cloud Platform provides a comprehensive strategy for cloud computing -- whether you need infrastructure resources, develop applications or store your data. But don't take it from us -- hear how other IT professionals like yourself chose Google Cloud Platform for their needs and why.
Sanjay Mathur, CEO Silicon Valley Data Science; Vish Agashe, Google; Puneet Pandit, Glassbeam; Rajeev Dadia, Saama
The cloud is now worth billions of dollars and home to increasing amounts of IT infrastructure. Where does the story go with big data? With innovations like BigQuery and cloud BI, it’s clear we’re on the horizon where some of the most exciting technologies meet. Join this live roundtable with big data and cloud industry experts as they discuss the following:
-Why BigData? Why now?
-What are the benefits of cloud BI and are they worth the switch?
-What kind of resources do you need to make the cloud as successful as possible for big data?
- What are the real challenges involved in big data in the cloud?
- How can you start to leverage the cloud for big data projects?
- Discussion of any success stories or customers who have done this today.
Google Cloud Platform enables developers to build, test and deploy applications on Google’s highly-scalable and reliable infrastructure. Choose from computing, storage and application services for your web, mobile and backend solutions.