GCP Archives - Liwaiwai

Migrate Your Custom ML Models To Google Cloud In 3 Steps

Building end-to-end pipelines is becoming more important as many businesses realize that having a machine learning model is only one small step towards getting their ML-driven application into production. Google Cloud offers a tool for training and deploying models at scale, Cloud AI Platform, which integrates with multiple orchestration tools like TensorFlow Extended and KubeFlow Pipelines (KFP). However, it is often the case that businesses have models which they have built in their own ecosystem using frameworks like scikit-learn and xgboost, and porting these models to the cloud can be complicated and time consuming. Even for experienced ML practitioners on Google Cloud Platform (GCP), migrating a scikit-learn model…

Google Cloud Next 2019 | SCRUM-Japan Genesis; Virtual Sequencing Utilizing Nationwide Cancer Genome Database

Google Cloud Next 2019 | Healthcare Sessions Google Cloud Next 2019 | SCRUM-Japan Genesis; Virtual Sequencing Utilizing Nationwide Cancer Genome Database Next generation cutting-edge platform on GCP shifting from another Cloud, which will be a monumental win to prove GCP’s values and credibility with huge ripple effect. They are trying to achieve. ・Build a new multi-modality data and AI platform for several cancer subtypes across top medical institutions to provide and leverage all insights – exchange cross disciplinary comprehensive huge dataset including pathology images, cancer genome alterations by next-generation sequencing (NGS) as well as clinical data with high quality in…

Google Cloud Next 2019 | How Twitter Is Migrating 300 PB Of Hadoop Data To GCP

Google Cloud Next 2019 | Media and Entertainment Sessions Google Cloud Next 2019 | How Twitter Is Migrating 300 PB Of Hadoop Data To GCP Twitter has been migrating their complex Hadoop workload to Google Cloud. In this session, we deep dive into how Twitter’s components use Cloud Storage Connector and describe our initial usage, features we implemented, and how Google helped us build those features in open source. We describe how Cloud Storage fits into our ecosystems and the experience and features which have helped us. We’ll also talk about unique challenges we discovered in data management at scale.…

Google Cloud Next 2019 | Livin’ On The (CDN) Edge

Google Cloud Next 2019 | Media and Entertainment Sessions Google Cloud Next 2019 | Livin’ On The (CDN) Edge Google Cloud CDN is delivered on Google’s high performance global network and edge infrastructure. Cloud CDN uses Google’s globally distributed points of presence to secure and accelerate video and web content delivery for applications served out of Google Compute Engine and Google Cloud Storage, reducing latency and serving costs. Join us to learn how Google builds and operates its content delivery network infrastructure. We deep dive into CDN features including caching fundamentals, custom cache keys, security features, TLS customization, live streaming…

Google Cloud Next 2019 | The “Why” And “How” Of Testing Games In The Cloud

Google Cloud Next 2019 | Game Sessions Google Cloud Next 2019 | The “Why” And “How” Of Testing Games In The Cloud Most games are still tested manually. With many recent advances, especially in the area of machine learning, it is now possible to perform more sophisticated automated games testing to uncover important quality issues in your game before your users do. In this session, we will talk about all the different ways you can test your game automatically with little to no effort on your part. Speaker(s): Justin Broughton Session ID: DEV201 Product:Firebase; Citi I/O Aster.Cloud DotLAH!

Google Cloud Next 2019 | Networking On Cloud: Unity’s Networking Journey On GCP

Google Cloud Next 2019 | Game Sessions Google Cloud Next 2019 | Networking On Cloud: Unity’s Networking Journey On GCP Unity has a global team across five continents with over six business units that have more than 50 aggregated services managed by different teams. Now what makes this migration journey interesting is that the entire infrastructure and security was managed and enforced by a team of four people. The network design was complex, as every workload had different SLAs and security requirements. Hence, careful network planning was required, from IP addressing to HA, DR, shared services, and security policing. But…

Google Cloud Next 2019 | Democratizing AI For Industrial Applications

Google Cloud Next 2019 | Energy Sessions Google Cloud Next 2019 | Democratizing AI For Industrial Applications AI democratization is a well understood term that is often associated with enabling learning and adoption of AI. In the industrial world, BHGE has been at the forefront of democratizing AI. In contrast to commercial solutions that focus on traditional machine learning and even deep learning techniques, BHGE has focused on techniques for missing data estimation, modeling, tag mapping, classification etc. that are particularly needed in the industrial world. This has led to democratization of a wide variety of techniques from Gaussian Process…

Google Cloud Next 2019 | Simplify Hybrid Deployments With VMware NSX Service Mesh & Google Cloud Services

Google Cloud Next 2019 | Energy Sessions Google Cloud Next 2019 | Simplify Hybrid Deployments With VMware NSX Service Mesh & Google Cloud Services VMware and Google Cloud enable an Open Cloud Hybrid Solution which provides you the flexibility to develop and deploy containerized applications with bi-directional portability. A seamless Istio/Envoy service fabric, federated by NSX Service Mesh between VMware PKS and Google Cloud enable developers to connect, secure, and observe services on-prem and in Google Cloud. Regardless where applications are built from data centers to remote offices, VMware SD-WAN ensures connectivity is automatically and securely setup so developers can…

Google Cloud Next 2019 | BigQuery Tips: Nested and Repeated Fields And How GOJEK Builds Data Warehouses

Google Cloud Next 2019 | Retail Sessions Google Cloud Next 2019 | BigQuery Tips: Nested and Repeated Fields And How GOJEK Builds Data Warehouses Gain expert advice on BigQuery to take advantage of data warehousing. In this session, GOJEK, a global company with multiple products and services and lots of data, will share how they have designed their data model to have BigQuery and Google Cloud Storage for their data lake and data warehouse, how they’ve set up their infrastructure using GCP, and how they’ve built internal tools as part of this process. GOJEK will also share how they govern…

Google Cloud Next 2019 | Everyone Flies Faster When BigQuery Fuels The BI Engines At AirAsia

Google Cloud Next 2019 | Retail Sessions Google Cloud Next 2019 | Everyone Flies Faster When BigQuery Fuels The BI Engines At AirAsia Building real-time analytics dashboards with sub-second query latency can be fraught with complexity or high cost. But, does it have to be? In this session we’ll unpack how AirAsia, South East Asia’s industry-leading low cost carrier, has been able to dramatically optimize their BI workloads using a combination of BigQuery BI Engine with Data Studio and Sheets to achieve hyper-fast and hyper-accessible big data analytics. Speaker(s): Vinay Balasubramaniam, Shanti Nikunj Session ID: DA202 Citi I/O Aster.Cloud DotLAH!

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