Get an overview of the Google Cloud for AWS Professionals course. Take a tour of Google Cloud's main pillars with Eoin Carroll, Technical Curriculum Developer. During presentations and demos, you'll explore: Google Cloud Console Google Compute Engine Google Cloud Marketplace Google Cloud Storage Google Kubernetes Engine Google App Engine Access management in Google CloudPlease click on the following link to start journey from AWS to Google cloud:
Uswitch uses data science to adapt to a competitive marketplace and is passing on the lessons it's learning to its wider RVU group of brands, empowering people to make better purchasing decisions.Uswitch started its migration to Google Cloud in 2015 after deciding to leave its current cloud infrastructure. The company had previously used on-premises Hadoop clusters, but this configuration started to have issues, especially with performance and maintenance.Uswitch had thought that switching to a different cloud provider would alleviate some of these issues, but that turned out to be untrue. The Data team was intrigued with BigQuery's capabilities and decided to give it a try.Find out how USwitch overcome their data problem with google vertex AI:"We would love to transform every part of the product selection journey that our customers go through. Whether that’s understanding more about them or building algorithms that work out the best deals. And Google Cloud is enabling us to do just th
Practical approach to implementing Apdex alerts in PrometheusWhy Apdex?Apdex provides a single number that attempts to quantify a user’s experience of requests to a web service. We first decide what we consider to be an acceptable response time from our service, in Apdex terminology this is called the T value. We then classifies requests as follows:All error responses are intolerable. All responses qucker than T are satisfactory. All responses slower than T, but quicker than 4T are tolerable. All responses slower than 4T are intolerable.The Apdex score for a service, over a given time, is a ratio of intolerable vs satisfactory and tolerable responses.apdex = (satisfactory + (tolerable / 2)) / totalHigh error rates and slow response times will result in a lower Apdex score. By encapsulating errors and high latency in a single metric Apdex attempts to quantify our users experience of our service as a single number. Since a low Apdex score implies either high rates of errors or undesirabl
Bernard Marr, author of the books 'The Intelligence Revolution' and 'Artificial Intelligence in Practice' has compiled his list of the biggest AI trends in 2022. In this 7-minute video, he speaks about the following trends: AI will augment our workforce Better language modeling capability Cyber security AI and the Metaverse Low-code and no-code AI Data-centric AI Autonomous vehicles Creative AIWhat is your opinion? Which of these trends affect you in your work and personally?Here is the video:
From chatbots to predictive text, all kinds of applications are using AI to navigate language barriers and facilitate communication across different communities. Many of these applications focus on text, but there is more to language than written words. Sometimes even fluent speakers of a second language will experience challenges when communicating face-to-face with native speakers. One of the best ways to overcome these challenges is to practice pronunciation.Markus Koy (@MarkusK) is an IT projects analyst with 18 years of experience across various industries. He is also a native German speaker living in an English-speaking part of Canada, and a regular visitor to C2C’s AI and ML coffee chats, which are hosted in the U.S. Koy’s experiences working in English-speaking countries as a non-native English speaker inspired him to create thefluent.me, an AI-powered app that tests speech samples and scores them based on how well they correspond to standard English pronunciation.On thefluent.
Hello All, I need to a build transformation to load a target table from 80+ source tables (all source tables are staged into BigQuery). From the 80+ tables, 30+ tables will be refreshed every 1 hr from their source systems and remaining will be once a day. Now the target table should be refreshed every 1 hr as soon as data is staged and the target table will have 350+ columns and hourly source data volume will be 40M ( 90% data will be changes to existing data and 10% or less will be new data) and over all table volume will be around 3B records. Any best practices or suggestion on designing transformation for this scenario ? Thanks,
Be sure to check this out and make sure you don't fall into one of these traps! https://www.cbinsights.com/research/startup-failure-reasons-top/
Welcome to ACE Study Buddies! We’re kicking off a one-month study session, during which we’ll dive deep into topics covered in the ACE certification exam study guide. Thinking about registering for the exam? Great! Not interested in ACE? Also great! The topics we’ll cover apply to exam prep and the real world. Here’s what you get:No-cost access to valuable learning resources including labs, Q&A, and curated content. No-cost access to earning four skill badges, a Google Cloud credential. A Study Buddy badge, exclusively for participating in the inaugural study buddy month. Plus you’ll have an opportunity to join a team of study buddies to help each other share resources, stay motivated, and grow your personal network. Get startedHere’s how to participate:Join the game! Use this code to join: 1q-study-458 Choose your team.NOTE: You cannot change teams after you join, so choose carefully! Start a lab and play the game!NOTE: You’ll notice some of the game items are unavailable. We’ll
Based on his experience utilising Google Vertex AI, Christian Rehm, Senior Machine Learning Engineer at Wayfair, has published an article in Google Cloud. How is vertex AI help to resolve his complex problem you will discover here. when Google announced its Vertex AI platform in 2021, the timing coincided perfectly with our search for a comprehensive and reliable AI Platform. Although we’d been working on our migration to Google Cloud over the previous couple of years, we knew that our work wouldn’t be complete once we were in the cloud. We’d simply be ready to take one more step in our workload modernization efforts, and move away from deploying and serving our ML models using legacy infrastructure components that struggle with stability and operational overhead. This has been a crucial part of our journey towards MLOps excellence, in which Vertex AI has proved to be of great support. Please visit the following link for more details :https://cloud.google.com/blog/products/ai-machine-l
Google Workspace presents our Digital Security Summer Series. Two events focused about the latest technology from Google Workspace and Chronicle on how to drive the future of security. Join for a live, in depth conversation, hearing insights directly from the product experts that can help us empower our in-office, remote, and frontline teams. Two events focused about the latest technology from Google Workspace and Chronicle on how to drive the future of security. Cybersecurity remains at the top of every organisation’s agenda. To stay secure in today’s growing threat landscape, organisations must detect and respond to cyber threats at unprecedented speed and scale. Join for a live, in depth conversation, hearing insights directly from the product experts that can help us empower our in-office, remote, and frontline teams. Wednesday | August 31st - Working Safer with Google Workspace Thursday | September 1st - The Power of Chronicle as a PlatformWhere: Digital Series hosted live on Goo
Started a new project. Added a MySQL instance. Now, I want to work on Chinook database as part of learning.I do not think Import Option will be the right option as it asks for SQL/CSV file to import. In other words, this appears to be the place to import data that comes with a database. But the structure of data is yet not uploaded. Perhaps need to upload chinook.db file. Guidance on how to start working with Chinook database appreciated. I have worked on Chinook database after downloading SQLite on my PC. Looking forward to replicating the same on Google Cloud.
I cannot add storage on Google Workspace business starter is any one else experiencing this issue, and what is the solution(terms it as pooled storage, but still not able to also add storage on the organisational domain account)
Image source: Official Google BlogI have met Emma Haruka Iwao in 2019.She was one of the main speakers at the Singularity Festival, in Heraklion, Crete.An amazing person! I remember talking to Emma about her achievement. Emma then calculated the then world record for the most accurate value of pi which included 31.4 trillion digits, surpassing the previous record of 22 trillion, and entered the Guinness World Record.Last weekend I watched this video where they talk about the 100 trillionth digit of pi.
How you can migrate common workloads in successful ways. You can working directly with Google Cloud Rapid Assessment and Migration Program (RAMP), Google also offer a plethora of self-service guides to help you succeed! Some of these guides, which we’ll cover below, are designed to help you identify the best ways to migrate, which include meeting common organizational goals like minimizing time and risk during your migration, identifying the most enterprise-grade infrastructure for your workloads, picking a cloud that aligns with your organization’s sustainability goals, and more: Get started with this cloud migration guide and checklist Key considerations for building a migration factory to Google Cloud Understanding the cloud migration strategies at your disposal Understanding how to migrate key enterprise workloads to Google Cloud Microsoft Modernization path for .NET applications on Google Cloud Managed Service for Microsoft Active Directory is GA Migrating Microsoft wo
Your key takeaways from this webinar. Google Cloud VMware Engine:Allows you to seamlessly migrate your existing VMware workloads to the Cloud. Is a fully managed integrated offering that enables you to run a Software Defined Data Center in Google Cloud. Allows you to continue using the 3rd party tools and solutions which you’ve been using on-premise thanks to our wide range of 3rd-party tool support. Here is the link below to join the event https://cloudonair.withgoogle.com/events/lift-your-vmware-workloads-cloud Retiring or extending data centers to the cloud is currently on top of most technical decision-makers’ minds—not just to benefit from on-demand burst capacity or first-class security as your business requires it, but also to have access to solutions that allow you to derive new insights from existing data to quickly make informed decisions. Google Cloud VMware Engine allows you to seamlessly migrate your existing VMware workloads to the cloud. Run your workloads in Google Clo
The U.S. Department of Homeland Security (DHS) recently announced the results of the first report from the Cyber Safety Review Board (CSRB) on the log4j software library vulnerabilities discovered in late 2021. Google welcomed the opportunity to participate in the development of the CSRB report and share our own experiences responding to this and other incidents. Building on this momentum, today we are going to share Google’s approach to address the log4j report’s recommendations. We see this as an important part of our effort to support others in the industry as we all work together to increase open source security. This includes: Driving adoption of best practices; Building a better software ecosystem; and Making long term investments in digital security. Together, these efforts demonstrate the steps we take to protect others and reflect our broader commitment to improve security for everyone. Here is the linik to read more details.https://cloud.google.com/blog/products/ident
Google Data Cloud Live: Atlanta will feature technology leaders and data professionals who will share insights on how you can capitalize on the next wave of data solutions. You’ll have the opportunity to learn about the many ways that you and your organization can make smarter decisions and solve complex challenges with key innovations in AI, machine learning, analytics, and data lakes. Join this event please check the following link:https://inthecloud.withgoogle.com/google-data-cloud-live-atl/register.html
Hi all,I’ve recently created several GKE clusters through some custom Terraform code. However, by default it looks like NAT-ing from the pod network is not enabled which is not desirable. So I found this article on how to enable it:https://cloud.google.com/kubernetes-engine/docs/how-to/ip-masquerade-agent#how_ipmasq_works Which did the trick just fine. However, I can’t seem to find a way to enable this during the cluster creation. I’d prefer not to have to add in the daemonset and configmap after the cluster is created. Is there any way to configure this as part of the cluster creation through Terraform? Also, this is a private cluster and I do not have access to the cluster through kubectl from where I’m running Terraform. Thanks!
Is it possible to deploy a custom container application on a Google Cloud App Engine?
Anyone consider themself a Firestore expert and has time for a quick chat or call, could use some help about my structure and setup?
Image Source: Google Cloud ReaderGoogle Cloud Reader is a podcast where someone is reading an article from the official Google Cloud blog for us, to us.It’s a podcast that let us listen to the Google Cloud blog posts that aren’t dependent on visuals.So, I can either read the article Charting a safer future starts at Google Cloud’s Security Summit or I can go for running or cycling and listen someone reading it for me.I’m curious to find out how many people from our members knew about it.@Katsiaryna Vyshydkevich @MarkusK @malamin @shaijut @jennworks40 @ahmedtariq1 @Bouchra.abidar @dineshnithyan @Vick @seijimanoan I'm curious if you knew about it. 🤔
A cloud service called Chronicle was developed enabling businesses to privately store, process, and search the enormous volumes of security and network telemetry they produce. It was constructed as a customised layer on top of the basic Google infrastructure. Chronicle normalises, indexes, correlates, and analyses the data to offer immediate insight and context on dangerous conduct.Using data, immediately analyse Google Cloud assists your security operations team in navigating this still developing paradigm by providing best practises and critical answers that will better equip it to deal with threats in the cloud.It contains: A technical primer on what makes cloud security different than on premises How detection and response can be best achieved in the cloud Clarity on who is responsible for detection and response in the cloud, between user and provider Why moving to the cloud is an opportunity to transform how you can achieve your SecOps goals of confidentiality, integrity, and
BigQuery is amazing. It is one of the favorite tools within Google Cloud. Google always add new feature in BigQuery.Artem Nikulchenko Chief Software Architect and Champion Innovator at Google cloud discover some new interesting features in the latest BigQuery release and summarises the following four things in his article: the AUTO column, multi-statement transactions, clustering, and indexes. Please browse the main article to read more details.https://cloud.google.com/blog/topics/developers-practitioners/hidden-gems-google-bigquery
A new Vertex AI solution from Google Cloud shows how to execute DeepMind's AlphaFold protein structure predictions at scale using Vertex AI Pipelines.Scientists can design medications that modify protein activity depending on its role in the cell once the structure of the protein has been known. DeepMind, Alphabet's AI research group, developed the AlphaFold algorithm to enable data scientists and other researchers reliably forecast protein geometries at scale.To encourage interactive experimentation, Google Cloud offered a solution that combined AlphaFold with Vertex AI Workbench.This makes it easy for many data scientists to work with AlphaFold effectively. Today, I'll describe how to get started experimenting with this approach and go over some of its advantages, such as lower costs due to hardware selection that is optimised, repeatability due to experiment tracking, lineage and metadata management, and quicker run times due to parallelization.How does AlphaFold work with Vertex AI
The Google Cloud documentation is not clear on this. We’ve been trying to understand if Google Cloud can access data stored in Google Storage when using Google-managed encryption keys.If yes, is there a way to restrict such access?
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