Serverless Big Data Architecture on Google Cloud Platform at Credit OKKriangkrai Chaonithi
This is a talk at at Barcamp Bangkhen 2018,
presented by Kriangkrai Chaonithi.
I shared my experience at Credit OK on building a data pipeline to ingest huge amount of customer data to our big data analytic warehouse using serverless services on Google platform.
As a result, we can make it without setting up any servers to handle our data at a very minimal cost.
Serverless Big Data Architecture on Google Cloud Platform at Credit OKKriangkrai Chaonithi
This is a talk at at Barcamp Bangkhen 2018,
presented by Kriangkrai Chaonithi.
I shared my experience at Credit OK on building a data pipeline to ingest huge amount of customer data to our big data analytic warehouse using serverless services on Google platform.
As a result, we can make it without setting up any servers to handle our data at a very minimal cost.
Los patrones están en todos lados. Los patrones de diseño han existido desde hace mucho tiempo para las arquitecturas tradicionales (monolíticas). Los patrones nos permiten tener un abanico de opciones de diseño predeterminadas, que se pueden aplicar según cada problema de negocio y tecnológico, dándonos una ventaja en el diseño de la solución, dado que son estructuras que han sido probadas durante el tiempo en forma repetitiva, hasta consolidarse como un patrón. Sin embargo, los patrones de diseño han cambiado con la llegada de la nube y el enfoque de microservicios. En esta oportunidad vamos a discutir en profundidad estos patrones de diseño y su aplicabilidad.
https://www.meetup.com/Cloud-Native-Chile/
GDG DevFest Romania - Architecting for the Google Cloud PlatformMárton Kodok
Learn about FaaS, PaaS architectural patterns that make use of Cloud Functions, Pub/Sub, Dataflow, Kubernetes and platforms that hides the management of servers from the user and have changed how we develop and deploy future software.
We discuss the difference between an event-driven approach - this means that you can trigger a function whenever something interesting happens within the cloud environment - and the simpler HTTP approach. Quota and pricing of per invocation, and the advantages and disadvantages of the serverless systems.
Big Data with hadoop, Spark and BigQuery (Google cloud next Extended 2017 Kar...Imam Raza
Google Next Extended (https://cloudnext.withgoogle.com/) is an annual Google event focusing on Google cloud technologies. This presentation is from tech talk held in Google Next Extended 2017 Karachi event
If you implement a microservice architecture correctly, you will end up with a proliferation of different microservices; with multiple instances of each one for redundancy. Find out how you to get microservices to automatically discover each other, share a configuration with real-time updates. See how to eliminate server management altogether with "serverless" microservice frameworks.
How we have used ansible for real-time industry use cases and Integration with enterprise tools. Infra provisioning and config management using ansible and automating routine tasks.
GDG Heraklion - Architecting for the Google Cloud PlatformMárton Kodok
Learn about cloud components, architecture overviews to build an app using GCP components.
You will get hands-on information on how to build highly scalable and flexible applications optimized to run in GCP on the same infrastructure that powers Google. We will discuss cloud concepts and highlights various design patterns and best practices.
By the end of the session you will have hands-on experience to build a basic cloud application, it could be a simple web tier, powered by highly distributed database, background tasks executed on a pub/subsystem, and you get information how to go next level with advanced concepts like analytics warehouse, recommendation engines, and ML.
The slides I used for my "Securing an Azure Functions REST API with Azure Active Directory" session (SAFwAD for short) at Intelligent Cloud Conference in Copenhagen.
DevFest Romania 2020 Keynote: Bringing the Cloud to you.Márton Kodok
Next OnAir 20 in review,
Real-time AI solutions
like anomaly detection, pattern recognition, and predictive forecasting
2. Recommendations AI rich experience to personalized product recommendations
3. Media Translation API real-time speech translation from streaming audio
4. Lending DocAI solution powered by Document AI for mortgage industry
5. Contact Center AI support over chat/voice calls by identifying intent and providing assistance
Confidential VMs are a breakthrough technology that allow customers to encrypt their most sensitive data in the cloud while it's being processed
Cloud Run: - Minimum idle instances
- Allocate 4 vCPUs and 4GiB memory
- Requests up to 60 minutes
- Server-side HTTP + gRPC streaming
- VPC access support
- External Load Balancing
Serverless orchestration and automation with Cloud Workflows (beta)
- Steps defined in YAML
- Built-in decision and conditional exec
- Subworkflows
- Support for external API calls
- Custom predicate for retries
Predict, recommend and forecast with BigQuery ML
CREATE MODEL syntax in BigQuery to run Machine Learning tasks
Supported models:
- K-means clustering for data segmentation
- Recommend with Matrix Factorization
- Perform time-series forecast
- Import TensorFlow models
Single interface for multiple services with API Gateway
Find Your Topic and Skill Level
Qwiklabs + New Tutorials Center
e-KTP Information Extraction with Google Cloud Function & Google Cloud VisionImre Nagi
I presented this talk during Google Developer Group Developer Festival 2018 in Jakarta. This talk presents the usage of serverless Cloud Function & Google Cloud Vision API to extract information from Indonesia's e-KTP.
Handle insane devices traffic using Google Cloud Platform - Andrea Ulisse - C...Codemotion
In a world of connected devices it is really important to be prepared receiving and managing a huge amount of messages. In this context what is making the real difference is the backend that has to be able to handle safely every request in real time. In this talk we will show how the broad spectrum of highly scalable services makes Google Cloud Platform the perfect habitat for such as workloads.
GDG Jakarta Meetup - Streaming Analytics With Apache BeamImre Nagi
Google slide version of this slide can be accessed from: https://docs.google.com/presentation/d/1Ws73JxlVH39HiKiYuF3vW903j8wFzxPQihXz4CQ_HZM/edit?usp=sharing
Kafka and Kafka Streams in the Global Schibsted Data PlatformFredrik Vraalsen
In this talk we will present how we in Schibsted have set up a new global streaming data platform using Kafka and Kafka Streams, replacing a homegrown solution based on Kinesis and micro batches in Amazon S3.
Talk presented at Kafka Summit 2018 in San Francisco: https://kafka-summit.org/sessions/kafka-kafka-streams-global-schibsted-data-platform/
Supercharge your data analytics with BigQueryMárton Kodok
Powering interactive data analysis require massive architecture, and Know-How to build a fast real-time computing system. BigQuery solves this problem by enabling super-fast, SQL-like queries against petabytes of data using the processing power of Google’s infrastructure. We will cover its core features, creating tables, columns, views, working with partitions, clustering for cost optimizations, streaming inserts, User Defined Functions, and several use cases for everydaay developer: funnel analytics, behavioral analytics, exploring unstructured data.
The other part will be about BigQuery ML, which enables users to create and execute machine learning models in BigQuery using standard SQL queries. BigQuery ML democratizes machine learning by enabling SQL practitioners to build models using existing SQL tools and skills. BigQuery ML increases development speed by eliminating the need to move data.
BigQuery ML - Machine learning at scale using SQLMárton Kodok
With BigQuery ML, you can build machine learning models without leaving the data warehouse environment and training it on massive datasets. We are going to demonstrate how to build, train, eval and predict, your own scalable machine learning models using standard SQL language in Google BigQuery.
We will see how can we use CREATE MODEL sql syntax to build different models such as:
Linear regression
Multiclass logistic regression for classification
K-means clustering
Import TensorFlow models for prediction in BigQuery
We will see how we can apply these models on tabular data in retail and marketing use cases.
Models are trained and accessed in BigQuery using SQL — a language data analysts know. This enables business decision making through predictive analytics across the organization without leaving the query editor.
A fresh look at Google’s Cloud by Mandy Waite Codemotion
Google, one of the early PaaS (Platform as a Service) pionneers, has recently substantially improved AppEngine, expanded its Cloud Platform to include CloudStorage, BigQuery and soon Google Compute Engine (still in early access as of this writing).
Los patrones están en todos lados. Los patrones de diseño han existido desde hace mucho tiempo para las arquitecturas tradicionales (monolíticas). Los patrones nos permiten tener un abanico de opciones de diseño predeterminadas, que se pueden aplicar según cada problema de negocio y tecnológico, dándonos una ventaja en el diseño de la solución, dado que son estructuras que han sido probadas durante el tiempo en forma repetitiva, hasta consolidarse como un patrón. Sin embargo, los patrones de diseño han cambiado con la llegada de la nube y el enfoque de microservicios. En esta oportunidad vamos a discutir en profundidad estos patrones de diseño y su aplicabilidad.
https://www.meetup.com/Cloud-Native-Chile/
GDG DevFest Romania - Architecting for the Google Cloud PlatformMárton Kodok
Learn about FaaS, PaaS architectural patterns that make use of Cloud Functions, Pub/Sub, Dataflow, Kubernetes and platforms that hides the management of servers from the user and have changed how we develop and deploy future software.
We discuss the difference between an event-driven approach - this means that you can trigger a function whenever something interesting happens within the cloud environment - and the simpler HTTP approach. Quota and pricing of per invocation, and the advantages and disadvantages of the serverless systems.
Big Data with hadoop, Spark and BigQuery (Google cloud next Extended 2017 Kar...Imam Raza
Google Next Extended (https://cloudnext.withgoogle.com/) is an annual Google event focusing on Google cloud technologies. This presentation is from tech talk held in Google Next Extended 2017 Karachi event
If you implement a microservice architecture correctly, you will end up with a proliferation of different microservices; with multiple instances of each one for redundancy. Find out how you to get microservices to automatically discover each other, share a configuration with real-time updates. See how to eliminate server management altogether with "serverless" microservice frameworks.
How we have used ansible for real-time industry use cases and Integration with enterprise tools. Infra provisioning and config management using ansible and automating routine tasks.
GDG Heraklion - Architecting for the Google Cloud PlatformMárton Kodok
Learn about cloud components, architecture overviews to build an app using GCP components.
You will get hands-on information on how to build highly scalable and flexible applications optimized to run in GCP on the same infrastructure that powers Google. We will discuss cloud concepts and highlights various design patterns and best practices.
By the end of the session you will have hands-on experience to build a basic cloud application, it could be a simple web tier, powered by highly distributed database, background tasks executed on a pub/subsystem, and you get information how to go next level with advanced concepts like analytics warehouse, recommendation engines, and ML.
The slides I used for my "Securing an Azure Functions REST API with Azure Active Directory" session (SAFwAD for short) at Intelligent Cloud Conference in Copenhagen.
DevFest Romania 2020 Keynote: Bringing the Cloud to you.Márton Kodok
Next OnAir 20 in review,
Real-time AI solutions
like anomaly detection, pattern recognition, and predictive forecasting
2. Recommendations AI rich experience to personalized product recommendations
3. Media Translation API real-time speech translation from streaming audio
4. Lending DocAI solution powered by Document AI for mortgage industry
5. Contact Center AI support over chat/voice calls by identifying intent and providing assistance
Confidential VMs are a breakthrough technology that allow customers to encrypt their most sensitive data in the cloud while it's being processed
Cloud Run: - Minimum idle instances
- Allocate 4 vCPUs and 4GiB memory
- Requests up to 60 minutes
- Server-side HTTP + gRPC streaming
- VPC access support
- External Load Balancing
Serverless orchestration and automation with Cloud Workflows (beta)
- Steps defined in YAML
- Built-in decision and conditional exec
- Subworkflows
- Support for external API calls
- Custom predicate for retries
Predict, recommend and forecast with BigQuery ML
CREATE MODEL syntax in BigQuery to run Machine Learning tasks
Supported models:
- K-means clustering for data segmentation
- Recommend with Matrix Factorization
- Perform time-series forecast
- Import TensorFlow models
Single interface for multiple services with API Gateway
Find Your Topic and Skill Level
Qwiklabs + New Tutorials Center
e-KTP Information Extraction with Google Cloud Function & Google Cloud VisionImre Nagi
I presented this talk during Google Developer Group Developer Festival 2018 in Jakarta. This talk presents the usage of serverless Cloud Function & Google Cloud Vision API to extract information from Indonesia's e-KTP.
Handle insane devices traffic using Google Cloud Platform - Andrea Ulisse - C...Codemotion
In a world of connected devices it is really important to be prepared receiving and managing a huge amount of messages. In this context what is making the real difference is the backend that has to be able to handle safely every request in real time. In this talk we will show how the broad spectrum of highly scalable services makes Google Cloud Platform the perfect habitat for such as workloads.
GDG Jakarta Meetup - Streaming Analytics With Apache BeamImre Nagi
Google slide version of this slide can be accessed from: https://docs.google.com/presentation/d/1Ws73JxlVH39HiKiYuF3vW903j8wFzxPQihXz4CQ_HZM/edit?usp=sharing
Kafka and Kafka Streams in the Global Schibsted Data PlatformFredrik Vraalsen
In this talk we will present how we in Schibsted have set up a new global streaming data platform using Kafka and Kafka Streams, replacing a homegrown solution based on Kinesis and micro batches in Amazon S3.
Talk presented at Kafka Summit 2018 in San Francisco: https://kafka-summit.org/sessions/kafka-kafka-streams-global-schibsted-data-platform/
Supercharge your data analytics with BigQueryMárton Kodok
Powering interactive data analysis require massive architecture, and Know-How to build a fast real-time computing system. BigQuery solves this problem by enabling super-fast, SQL-like queries against petabytes of data using the processing power of Google’s infrastructure. We will cover its core features, creating tables, columns, views, working with partitions, clustering for cost optimizations, streaming inserts, User Defined Functions, and several use cases for everydaay developer: funnel analytics, behavioral analytics, exploring unstructured data.
The other part will be about BigQuery ML, which enables users to create and execute machine learning models in BigQuery using standard SQL queries. BigQuery ML democratizes machine learning by enabling SQL practitioners to build models using existing SQL tools and skills. BigQuery ML increases development speed by eliminating the need to move data.
BigQuery ML - Machine learning at scale using SQLMárton Kodok
With BigQuery ML, you can build machine learning models without leaving the data warehouse environment and training it on massive datasets. We are going to demonstrate how to build, train, eval and predict, your own scalable machine learning models using standard SQL language in Google BigQuery.
We will see how can we use CREATE MODEL sql syntax to build different models such as:
Linear regression
Multiclass logistic regression for classification
K-means clustering
Import TensorFlow models for prediction in BigQuery
We will see how we can apply these models on tabular data in retail and marketing use cases.
Models are trained and accessed in BigQuery using SQL — a language data analysts know. This enables business decision making through predictive analytics across the organization without leaving the query editor.
A fresh look at Google’s Cloud by Mandy Waite Codemotion
Google, one of the early PaaS (Platform as a Service) pionneers, has recently substantially improved AppEngine, expanded its Cloud Platform to include CloudStorage, BigQuery and soon Google Compute Engine (still in early access as of this writing).
Cloud Computing:
Cloud computing is the delivery of different services through the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software.
Summary of the new features of Google Cloud in Cloud Next 2020.
Speaker: Sergio Gordillo, Cloud Architect and Business Development Manager en Keepler Data Tech.
Watch the webinar! https://www.youtube.com/watch?v=TxgLMj773E0
More info, visit www.keepler.io
Introduction to serverless computing on Google Cloudwesley chun
This is a 15-20 minute tech talk designed for those who wish to get a broad high-level introduction to serverless computing. Tech featured includes Google App Engine, Google Cloud Functions, and Google Apps Script.
You may know Google for search, YouTube, Android, Chrome, and Gmail, but that's only as an end-user of OUR apps. Did you know you can also integrate Google technologies into YOUR apps? We have many APIs and open source libraries that help you do that! If you have tried and found it challenging, didn't find not enough examples, run into roadblocks, got confused, or just curious about what Google APIs can offer, join us to resolve any blockers. Code samples will be in Python and/or Node.js/JavaScript. This session focuses on showing you how to access Google Cloud APIs from one of Google Cloud's compute platforms, whether serverless or otherwise.
30-45-min tech talk given at user groups or technical conferences to introducing developers to integrating with Google APIs from Python .
ABSTRACT
Want to integrate Google technologies into the web+mobile apps that you build? Google has various open source libraries & developer tools that help you do exactly that. Users who have run into roadblocks like authentication or found our APIs confusing/challenging, are welcome to come and make these non-issues moving forward. Learn how to leverage the power of Google technologies in the next apps you build!!
Scale with a smile with Google Cloud Platform At DevConTLV (June 2014)Ido Green
What is new and hot on Google Cloud?
How can you work like a pro with some (or all) the new APIs and services... Here are some good starting points to follow.
These slides are made for the 2013 DevFest talks. It covers the main blocks of Google cloud platform: App engine, Compute Engine, storage options and more.
Entrepreneurship Tips With HTML5 & App Engine Startup Weekend (June 2012)Ido Green
My talk in Startup Weekend 2012 during Google I/O. It cover, startup life tips, modern web apps and how to leverage Google cloud (specific App Engine).
Google Cloud - Scale With A Smile (Dec 2014)Ido Green
"Google's ability to build, organize, and operate a huge network of servers and fiber-optic cables with an efficiency and speed that rocks physics on its heels. This is what makes Google Google: its physical network, its thousands of fiber miles, and those many thousands of servers that, in aggregate, add up to the mother of all clouds.” - Wired
---
Well, Wired hit the nail on the head with this quote about our platform. In this presentation we cover most of the new interesting features that will give you the ability to scale with (a big) smile!
Google Cloud is an organization producing 2 well-know product groups, GCP & G Suite. Most think they don't go nor work well together. This 90-minute session busts that myth and exposes developers to some of the more well-known APIs from both GCP & G Suite as well as highlights several novel solutions that have already been built as sample apps but also serve as inspiration into what's possible. The goal is to show developers the potential of building with ALL of Google Cloud.
Similar to Google cloud platform Introduction - 2014 (20)
使用 Raspberry pi + fluentd + gcp cloud logging, big query 做iot 資料搜集與分析Simon Su
This is a short training for introduce Pi to use fluentd to collect data and use Google Cloud Logging and BigQuery as backend and then use Apps Script and Google Sheet as presentation layer.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
10. Features
● NoSQL database service
● Support ACID transactions
● High availability, Strong / Eventual
consistency
● Google infrastructure & management
○
○
○
○
No planned downtime.
Replicated across multiple datacenters.
Automatically scales to handle traffic increase.
Monitored by Google engineers.
11. Developer Support
●
●
●
●
●
●
●
●
GAE integrate (Python, Java, Go, Php)
Local development server
Auto / Customize index
JSON API over REST
GQL query language
CLI tool - GCD
Web tool - Google Cloud Console
Usage statistic
12. Google Cloud Storage
watch videos, screen casts,
and presentations that walk
through how to use Google
Cloud Storage.
VIDEOS
download sample
applications, read howto
guides, and learn how to use
Google Cloud Storage with
other Google products.
SAMPLES
Google Cloud Storage Object storage service, without limit and global deployed
ask questions, discuss
solutions, and join our
vibrant community of
developers.
COMMUNITY
13. What is Cloud Storage?
SDK, API Support
Web Console
GAE Integrate
Oauth2 Integrate
Unlimited
Global Deploy
14. GCS - Features
●
●
●
●
●
●
●
●
High Capacity and Scalability
Strong Data Consistency
Google Cloud Console Projects
Bucket Locations
REST APIS
OAuth 2.0 Authentication
Authenticated Browser Downloads
Google Account Support for Sharing
16. BigQuery Features
●
●
●
●
TB level data analysis
Fast mining response
SQL like query language
Multi-dataset interactive
support
● Cheap and pay by use
● Offline job support
21. Connect tools
●
●
●
●
●
●
Using the command line prompt
API console SQL prompt
Admin tools and reporting tools
External applications
From App Engine: Java, Python
From Google Apps Script scripts
24. Google Style Management
●
●
●
●
●
●
Fancy management console
Share permissions with Google Account
Tag for machine, ACL, routing
Software Defined Networking
Start Script
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