How to Use Analytics to Extend Your (cold) Storage to the Google Cloud
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/
RecordedMar 22 201728 mins
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Explore the strengths of different Google Cloud tools, including Compute Engine, Kubernetes, and App Engine, and see how to deploy them whether you're dealing with existing containers or starting a new containerization strategy from scratch.
Brian Rice, Technical Curriculum Lead, Cloud Infrastructure and Katie Richardson, Certification Program Manager
Hear from members of the team who developed the exam about how this certification differs from others in the Google Cloud Certified program and how to best prepare.
Register now and get free access to a series of hands-on labs to jumpstart your learning and preparation for this exam. All webinar attendees will also receive a voucher to take a course on Coursera for free.
Lak Lakshmanan, Technical Lead, Machine Learning and Big Data and Evan Jones, Technical Curriculum Developer, Google Cloud
Go behind the scenes of the new “Machine Learning with TensorFlow on Google Cloud Platform” specialization on Coursera, which will teach you how to build production-ready machine learning models. During this webinar, Lak Lakshmanan, Google Cloud Machine Learning expert, will preview some of the Machine Learning techniques you will learn, walk through a demo of how to debug TensorFlow programs, and share insights on the exciting field of Machine Learning. Register now and get free access to a Machine Learning lab to jumpstart your learning. All webinar attendees will also receive a free voucher to take the first course of the Coursera specialization for free.
Giacomo Baldi, CTO, Zerynth and Travis Hagens, Strategic Partner Manager, Google Cloud
The webinar will introduce how and why to build IoT solutions in Python using Zerynth and Google Cloud IoT. Zerynth provides a software development suite that enables programming firmware in Python on 32-bit Microcontrollers and easy connectivity to IoT Clouds.
The live coding session will include:
- how to run multithreading Python scripts on a generic microcontroller powered by Zerynth;
- how to use Python to read data from analog and digital sensors attached to a microcontroller powered by Zerynth;
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- why programming microcontrollers in Python or hybrid C/Python using Zerynth
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Brandon Bowers, ZenTek, David Johnson, Forrester, Jonathan Lieberman, Itopia, Ubaldo Don, Itopia, and Brandon Jung, Google
Join cloud and desktop virtualization experts from Google Cloud, Forrester and itopia as well as top IT professionals to dive deeper into the key trends and technologies shaping desktop virtualization and the delivery of remote applications in 2018.
With the explosion of cloud desktop and RemoteApp solutions it is becoming harder for organizations to cut through the noise and implement the best solution for their business. Learn the key considerations every IT department should focus on when evaluating cloud desktop providers and why desktop virtualization using hyperscale clouds is the secret to delivering the flexibility, performance and price modern businesses demand.
Krishna Subramanian, COO, Komprise and Adam Smith, Technology Partner Growth, Google Cloud
Data is growing fast, but your IT budgets are flat. See how you can save 70%+ of your Network Attached Storage (NAS), disaster recovery and backup costs with the Google Cloud Storage and Komprise. Learn how other customers are leveraging the cloud to transparently archive cold data, lower DR costs and shrink backups.
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As a small team, building a service based around wireless sensors can be a daunting task. IoT products specifically can be fraught with distractions in the early days: decisions around what wireless link; what embedded processor; and what cloud and device management service can complicate things for even the most-experienced technical founders. Small teams getting a product to market must be disciplined and focus on solving problems core to their value proposition.
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1. Prototyping best practices for IoT connected products
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William Denniss, Product Manager, Google Cloud and Dan Garfield, Full-Stack Engineer, Codefresh
Connecting all the pieces to make zero downtime continuous delivery happen at scale is a challenge. Join this webcast to see real teams bring all the components together to make high-velocity deployment to Kubernetes scale. Get a hands-on view of the critical steps that go into making container management a scalable process that not only allows teams to delivery faster but with more confidence in the final result.
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Nicolas Schieli, Microchip, and Antony Passemard, Product Management, Google Cloud
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Sergey Lyubka, CTO, Mongoose OS and Travis Hagens, Strategic Technology Partner Manager, Google Cloud
Mongoose OS provides developers with a quick way to start IoT development on microcontrollers and connect them to Google Cloud IoT Core.
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1) Why microcontrollers used in IoT (e.g. ESP8266 / ESP32; TI CC3200 / CC3220 etc)
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Peter Bourne, CEO, Bright Wolf and Travis Hagens, Strategic Technology Partner Manager, Google Cloud
Successful digital transformation requires connected product solutions delivering agility and control. An Open System approach to IoT provides the agility to leverage best of breed tools and integrate with your existing enterprise systems, and the control over your data to ensure maximum future value. An Open System architecture powered by GCP infrastructure enables your IoT solution to flexibly evolve over time as new devices, business models, and technologies create opportunities for your enterprise and your customers.
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Jeff Ready, CEO, & Mike Lyon, Service Delivery Manager, at Scale Computing, and Manvinder Singh, Team Lead, Google Cloud
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Josh Klahr, VP of Product, AtScale, Bruno Aziza, CMO, AtScale
The average enterprise executive invests over $20M per year in Big Data technology. The work required to turn this investment into enterprise value has been arduous and perilous at best. According to Gartner, 60% of Big Data projects fail.
Is the answer “throwing more good money after bad”? We don’t think so. In this session, we propose a way to ‘“Re-imagine your Big Data project” and succeed by:
Building an enterprise-grade data warehouse in days, not months.
Running analytics with best-in-class user experience and performance, at a fraction of the cost. Early deployments of AtScale have shown query speed increase by 10X and query costs reduce by up to 1,000X on top of the savings you’re currently experiencing with BigQuery
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About the presenter:
Josh Klahr, VP of Product, AtScale
Josh is responsible for driving AtScale’s product roadmap and strategy to deliver what customers need to succeed, and has worked with data and analytics since 2000. He started his career as product manager for the first “Datamart in a Box” at Broadbase, and ran product management for one of the largest Data and Analytics operations in the world at Yahoo!. Before AtScale Josh was VP of Product Management at Pivotal, where he was responsible for Greenplum, Pivotal HD, and HAWQ. Josh received his undergraduate degree in Ferrous Metallurgy at Brown University and his MBA from Stanford.
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Xplenty is a data delivery platform that allows organizations to easily integrate, transform and process data from all of their major sources. At Xplenty, we know that integrating, transforming and preparing data for analytics is no easy task. That's why we decided to build a platform that simply gets your data delivered. With our unique data delivery concept, we free you from the hassle of traditional data integration and ETL so that you can focus on what really matters: analytics, insights, and business value.
Xplenty is reshaping the data integration ecosystem by introducing the data delivery concept.
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JJ, Strategic Technical Alliances at Chef & Nelson Araujo, Software Engineer at Google
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If you have Chef in your infrastructure or are interested in using Chef, your administrators, auditors, and executives will be interested in viewing this webinar.
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.
How to Use Analytics to Extend Your (cold) Storage to the Google CloudBen Chong, Google Cloud Storage Product Manager, Google; Krishna Subramanian, COO, Komprise[[ webcastStartDate * 1000 | amDateFormat: 'MMM D YYYY h:mm a' ]]28 mins