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Google Cloud Next 2020
July 14, 2020, Online, San Francisco, CA, USA
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Make modernization approachable with advanced database management
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About the talk

No matter your data’s size, your app’s popularity, or your users’ locations you need data management solutions that scale and support the growth of your business. But that journey doesn't have to be scary. With Google Cloud you can migrate, manage and optimize your traditional databases, and explore building new applications with modern ones. Join this keynote to hear about Google Cloud's new product releases and how customers are transforming their core business with innovative new database solutions.

Speakers: Penny Avril, Venkatesh Ramaswamy

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Google Cloud Next ’20: OnAir → https://goo.gle/next2020

Subscribe to the Google Cloud Channel → https://goo.gle/GoogleCloud

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SOLKEY201

fullname: Penny Avril;

About speakers

Penny Avril
Senior Director, Databases at Google
Venkatesh Ramaswamy
VP of Engineering at ShareChat

Penny is Google’s Interim GM of Database Product Management. Penny Avril was a Vice President in Oracle Server Technology Division, leading product management for Oracle Database. Penny works with release and development management on taking the product from design spec through development to production. Her team ran the customer advisory board, working with Oracle applications and partners on their use of database technology, performs field enablement, works directly with a wide range of customers.

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Technologist at heart with a strong focus on a results-oriented approach, and a people person. I believe in taking care of people, and the projects follow. Many years of experience dealing with large off-shore teams, completely at ease with upper and executive management, experience with mission-critical and time-sensitive projects impacting real-time payments.

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Hi on 10th Avenue and I'll ease product called stata based business. Especially, now many of us are no stranger to unpredictability, you may be struggling to keep the lights on or being pushed in new ways. The best of your customers. Lets you Department of Labor example in years worth of claims come in till 6 million sign-ons experience, especially given how critical Services Hall. What can we do clouds? Stay now able to scale into poop. That customers in a way that Mainframe wouldn't have been able to handle

Leveraging cloud firestore enabled them to handle over 100,000 sign on in just the first 24 hours and provide most Miller Communications to their customers throughout their experience. Managing a securely at scale is key and it's cool. Google is a day to company a Munch of the Innovation. You experience is filled out. Of all need to sell some of the most difficult challenges in managing volumes of data with consistency, reliability and experience. No matter where your uses are in the world.

Today we will take you for you that Journey from Easy, moving your databases to the cloud, to Martinizing applications to handle the unexpected and to provide in Simplicity for your developers Sheeran. YouTube elements along the way to most of you, this journey begins with how you complete your teams from self-managed, and thousands of compromise application in traditional databases and unlock the speed build and launch quickly. A good place to start is with infrastructure. That supports specialized work clothes, like Oracle databases wheel for a bad

natural solution which helps you quickly and cost-effectively these were closed to within milliseconds latency of Google Cloud. He said that's what solution is built on. Oracle certified platform to meet the performance availability and needed for the most mission-critical applications for other proprietary databases, sequel. Sequel, server office, molarity, and compatibility released early this year and customer base the cervix support, multiple addition to sequel server and what's with popular clients? Such as SQL Server management studio

and Powershell. Display knowledge service, leverages party whose capabilities to provide scale. Future needs of the clouds. This is only the first step in your transformation will continue to evolve. Which is why I'm excited to announce. We have loans committed, use discounts which provide Financial governments without manual overhead. Committed use discount, a transferable, prosecutor - 200 post, press machine sizes, so you can maximize your utilization

even at your resource and needs change. Beach releases make migrations incompatibility easier for Coleman databases like Oracle SQL Server ask you out in postgres but when you build a Google call native databases off of unique benefits such as industry-leading 590sl a online scale and Global replication without any operational complexity, we developed a unique parent of a relational database with no relational availability. And we have continued to extend the reach of spina in the last year we made out industry-leading spanner SLA of five nines

available to do spider multi-region, instances even though starting at one node, we also introduced the pleasure of speech is the span of this year, including adding additional multi-region and use the manage Backup and Recovery. Developer productivity was improved with jdbc driver and higher than they do RN support, additional introspection capabilities and now, a local emulator we can, can you turn on South Seafood? Feature set with foreign keys with glue support and free optimized version in Find a combination of

relational, semantics and horizontal scale was in Lucid for so long that many issues and it was unreachable for application development. But it's so some of them is Chris cool challenges for our customers. This week, you will hear from UVA. I may use a spanner to dealing with that unpredictable Marketplace tomorrow. We also Spanish church at one of the largest social media Platforms in India, has to put several hundred forty million, monthly active users. I must stay with Paramount, they needed to increase their teens operational, efficiency, and ability to

develop new applications quickly. Let's hear from Swami vice president of engineering at church at about why they ultimately, we are connected on spanner and Google Cloud. Hi venkatesh. Birthday, thank you for the wonderful introduction. Penny is great to be here because we encounter various limitations of scale with dynamodb that fundamentally rethink. Our kitchen table in schema definition of scale solution, that would support us while we continue to grow and Tackle, as yet unknown, you skip has

been through a very thorough evaluation process in Donovan and then leveraging boots panel during this transition. Play. I will close on Google Cloud partnership, that did listen and understand what we need to get in touch with the spider team directly. So we were really confident that we have the right kind of support structure in place for us to succeed as a business decision to attack of the migration first, and then focus on the optimization flexibility. And that it wasn't a concern for the flea market to do.

Or we haven't seen some amazing savings. You know, it took about six months of time and we had more than 80 terabytes of data to move tables, almost 30 to 40%. And that is just in the past few months and you're just getting started here recently. We have had our traffic route to almost 500% over the span of just a few days and horizontally call mulch in a week's time and you were not in the picture of all the banner handled all that extra load that was donated and the Google team was right alongside us

for the fact that they were able to do it without needing any help. It's a testament to get off the Google system. It's wonderful to hear, hatcher-travis handling the growing scale at 30% less cost to Taco. New strategic use cases, we were the first architect to relational system the group together, massive scale, strong consistency, 5/9 of availability and the ease of just being able to build. And we so they continue to be a God in the norm relational weld

these developers. Not only wanted is to build insurance and they're from the relational world. Removal of web developers looking for a document database Cloud firestore became generally available just over 18 months ago to date over 2 million 5 store databases have been created a recent study from flash data found that fire still had the most satisfied developed as compared to any other Cloud on the database market. So why do these developments with bias to the five? Basic integration serverless, architecture and feet are

peeling. However we have uniquely offered a globally. Consistent no sequel, don't command database with five nines availability. Buy food in pie store on a deployment Hispana infrastructure, the end result, Firestore developers can quickly build, reliable real-time applications scale. In addition for 5 store today, I'm pleased to announce we are introducing tools to give you better visibility into usage and performance with key visualizer. Additionally, we've invested in a

Richie query language and added a new SDK for game developers to even easier application development. Continuing in the normalization of wild. We are expanding the Enterprise capabilities to Cloud big table but I do see making it easier to get started in production. I'm happy to announce that Mom. It's back up there. Now generally available to pick table. This provides protection against operator error and application corruption scenarios without the management overhead. So you can stay up and running no matter what happens. We've also added

table level, identity management weight loss for admin activity and expanded as supposed to sing production instances so you can get started at any scale. We please focus on developing not operating needs to extend to all of your most common databases including my ass to our own postgres. Now, we are elevation the easy-to-use called sequel to better meet the needs of the Enterprise. In addition to the financial control of committed use discount in the last year, party for added support for cool, security

controls controller, the maintenance and introduce cross-region replicas The popularity of Classic Pool can be seen this week from the tool by McKesson. And over the past year, we seen Cloud, SQL popularity, continue to grow. It is not one supposed to screw in chokes Services. What excites me about this momentum. It said it's not happening in isolation the Deep integration to cross the entirety of Google Cloud offerings, make your next Generation architectures, truly powerful Nations and show you always get the best of Google

Cloud. No matter what you were developing, we seen GK. He uses the plain more than 500,000 protein synthesis to securely connect to Cloud, SQL query uses clearing, 22 petabytes of data and Cloud SQL. In just one month, Bridging, the Gap between an illicit of operational data. We continue to advance our databases to meet your needs, no matter where you are on your journey, whether you're just getting started designing for the unpredictable or enabling your teams to build faster than ever. This week, you know what an

idiot. Khan Academy McKesson free. Google Cloud database service. Thank you all for watching and enjoy the week.

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