Configure highly available data and real-time analytics to optimize performance, improve decision-making, and unlock new value.
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Let us introduce you to our Data Analytics Moderator: Bouchra AbidarUsername: Bouchra.abidar Bio:Bouchra is a GCP Certified with experience building cloud-native solutions to meet complex customer requirements. Bouchra enjoys helping others grow in their knowledge and believes mentoring is imperative. Bouchra is cloud enthusiastic. She is curious and passionate about learning. When not working to develop the community of cloud engineers, she enjoys spending time enjoying reading and volunteering for human associations.Company: Chantelle Company Job Title: Cloud Data Engineer Jeremy Dessalines DorbignyUsername: Jeremy DESSALINES Bio:Jeremy is leading a team of data engineers, data analysts and project managers. He is particularly focused on pushing the boundaries connecting data, people and organization. He learned much by himself thanks to all the resources we can find online, and now he wants to give back to the community. Company: VeoliaJob Title: Team Lead Apps,
SERP API (Search Engine Results Page Application Programming Interface) is a powerful tool allowing developers & business owners to access Google search results programmatically.With Google SERP API businesses can retrieve real-time search engine results from data, including search rankings, featured snippets, and other important metrics that can help improve their SEO strategy.Let’s explore how SERP API works and how it can help businesses improve their search engine visibility.
I have an old dataflow template and we update our databse security and now I need to stage and extra file to make it work
Hello everyone! I have an issue and this is killing me, I ma writing this in order to fina a solution.My old architecture everything was working fine: we have some data in a JDBC that is accesible from a specific subnet we extract data with cloud functions and write them in BigQueryMy new setup:same database but with extra security and I have to use a certificate in order to connect I have added some parameters to my connections string useSSL=true&requireSSL=true&verifyServerCertificate=true&serverTimezone=UTC&trustCertificateKeyStoreUrl=file:/extra_files/ca-root.pem exactly the same setup for the rest of the functionThe error I get and I just can’t get around it: java.sql.SQLException: Cannot create PoolableConnectionFactory (Cannot open file:/extra_files/ca-root.pem [/extra_files/ca-root.pem (No such file or directory)]From this https://cloud.google.com/dataflow/docs/guides/templates/ssl-certificates it is that simple but my setup is just a little more complicate
Talk to the map: How CARTO is making GIS more conversational using BigQuery with LLMs and Generative AI
GIS uses LLMs and generative AI to simplify the user experience, making it possible for anyone to use GIS to explore and analyze geospatial data. BigQuery is a powerful data warehouse that can store and process large amounts of geospatial data. Vertex AI is a machine learning platform that can be used to train and deploy machine learning models. This combination of technologies provides a powerful and scalable platform for geospatial analytics.Google is helping companies like CARTO build innovative Conversational GIS applications on Google Cloud Platform. Google Cloud Platform offers a wide range of services that can be used to build Conversational GIS applications, including BigQuery, Vertex AI, Cloud Functions, and Cloud Firestore. Google also offers a number of resources and programs to help companies get started with Conversational GIS, such as the Built with BigQuery initiative.Click on the link below to learn how CARTO Simplifying their GIS with LLMs and Generative AI:https://clo
Google Cloud Platform (GCP) offers a wide range of services for data and analytics, so it can be daunting to know where to start. This decision tree can help you narrow down your options and choose the right services for your needs. Then you should ask yourself first: What type of data do you have?Structured data: This is data that is organized in a fixed format, such as rows and columns in a spreadsheet. Examples of structured data include customer records, financial transactions, and product inventory. Unstructured data: This is data that is not organized in a fixed format, such as images, videos, and text documents. Examples of unstructured data include social media posts, customer reviews, and medical records.What are your analytics goals?Descriptive analytics: This type of analytics helps you understand what has happened in the past. Examples of descriptive analytics include reporting, trend analysis, and anomaly detection. Diagnostic analytics: This type of analytics helps you un
Generative AI changes in every use case. What do you think of your DB platform about how Generative AI change the database technology for your business use case.Here is the link below the live session about how to increase the value generated by a DataLake/DataWarehouse platform infusing the latest innovations from Google in GenAI. From tabular data embedding generation to ELT enrichment with GenAI inference, This session will bridge the gap between the Data and GenAI worldsDate : 20 July 2023 15:00-15:45 BSThttps://cloudonair.withgoogle.com/events/data-cloud-deep-dive-ai
Google and Sap announced a major partnership. What does it mean for the business community? Read the blog for the use cases this combined technology solves.
In the grand tapestry of the modern business world, change is the thread that keeps weaving in and out. We’ve seen it a lot this year, especially in tech and other industries. What’s causing the picture to keep changing? A whole host of things – shifts in what people want, cutting-edge tech like data analysis, AI, large language models, and cloud computing, and then there’s the ongoing pandemic, political shifts, and climate change. In this fast-paced scene, if you’re not moving forward, you’re sliding back. Businesses are now looking to speed up decision-making, cut costs, and handle the influx of data that’s constantly rolling in. They’re equipping their employees with data and AI to make decisions in near real-time. It’s a bit like how Google changed how we search and Uber transformed how we travel. Now, it’s hitting the business world big time. Sapphire 2023: Key Takeaways Efficiency and Cost Optimization: The bidirectional integration between Google Cloud and SAP Business Technolo
How Monetizing First-Party Data Produced a $100MM OpportunityWe partnered with this grocery chain to create a Retail Media Network that has monetized their data to the tune of $100MM.Learn how we delivered a comprehensive solution, integrating Google Analytics 4, Google Cloud, mparticle, LiveRamp and more.American Supermarket Builds Retail Media Network with Publicis Sapient | Publicis Sapient As a Global partner for Google Cloud Platform (GCP) and Google Marketing Platform (GMP), Publicis Sapient is committed to helping established organizations get to their future, digitally-enabled state by fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. Together with Google, we are solving transformation challenges together. Take a deeper dive into our partnership with Google! Click here to learn more
3 Canadian experts discuss Modern Data Stack and Cloud Computing for 5 years of Serverless Toronto community: https://www.youtube.com/watch?v=4R--iLnjCmU. Weather you're a seasoned Data professional or someone looking to get into Cloud Data Engineering, you'll find the insights very valuable! The combined slide deck is on SlideShare and the video is fully indexed so you can jump in the any topic you are curious about:00:02:58 From Data-driven Business to Business-driven Data: Hands-on Data Modelling exercise by Jacob Frackson of Montreal Analytics00:40:00 Trends in the Data Engineering Consulting Landscape by Nadji Bessa of Infostrux Solutions01:13:54 Building Secure Serverless Delivery Pipelines on GCP by Ugo Udokporo of Google01:54:36 Q&A01:59:00 How to transition to the Data side of the Cloud02:09:12 "Ode to Manning Publications Co." :)
How can businesses create net new revenue without incurring additional costs by leveraging a fully outsourced model?Any company with a loyal customer base can create a new revenue stream with improved experiences through data monetization. With first-party data, businesses can monetize both their onsite digital and physical properties and their offsite experiences. Monetization goes far beyond media networks to include opportunities like loyalty programs, personalization, supply chain and other enterprise optimizations.Learn more here:Data Monetization – Turning Data Into Dollars | Publicis Sapient Learn more about our patnership with Google here: Publicis Sapient and Google | Publicis Sapient
Build a data mesh on Google Cloud with Dataplex. One of the key use cases that Dataplex enables is a data mesh architecture. Let’s take a closer look at how you can use Dataplex as the data fabric that enables a data mesh. Register now click on the link below :https://cloudonair.withgoogle.com/events/data-cloud-deep-dive-dataplex
At the Mobile World Congress 2023, Barcelona Google Cloud announced a set of Communication Service provider solutions to support telecommunications providers in the next generation of digital transformations. Read more in the blog post below:https://cloud.google.com/blog/topics/telecommunications/introducing-telecom-data-fabric
"Serverless, Scalable, and Secure: How BigQuery Can Help Solve Data Management Problems," will take place on March 1st, 2023, at the Google PLV office from 1 pm - 5:30 pm. This is an excellent opportunity for us to showcase our expertise in BigQuery and how it can help solve our customers' data management problems. We highly encourage you to invite your customers and prospects for the opportunity to learn from the best and their peer group. This event is also open for all members of the sales team to attend and actively participate. Your presence will demonstrate our commitment to delivering the best possible solutions to our customers. What is in it for the customers? They will learn directly from our experts on how they can stay ahead to meet their business needs for launching serverless, scalable, and secure solutions. This will also be a great opportunity to learn from the success of other customers. Who should attend? Practitioners like Data specialists and engineers, product m
Geotab connects assets like vehicles, trailers, and other equipment to the internet, and through data capture and analytics helps customers better manage their fleets. Google Cloud Powers Geotab’s telematics engine. Geotab collects data from millions of assets across the globe and processes more than 55 billion data points each day in BigQuery. Geotab’s data insights driven by their AI powered platform enable visibility into driver safety, productivity improvements, sustainable operations, reduced fuel consumption and regulatory compliance.Click on the video below to watch in detail. Learn more about how Geotab and Google Cloud are redefining the transportation industry for good → https://goo.gle/3xvMJFD
Join Google Cloud and Quantiphi for a hands-on exposure to Google's data lake platform. You’ll learn about Google’s unique approach to solving data security, governance, silos, and developer productivity issues that challenge many organizations. Into the event speaker will also discuss data lake migration methodology, tooling, best practices, and cost savings.Benefits of attending: - Meet with data lake migration and modernization experts - Gain hands-on experience with Google’s Data Lake products — Dataproc and BigLake- Explore the Hadoop/Spark migration framework, accelerators, and best practices to improve productivity and reduce infrastructure costs Click on the link below for join this event. https://cloudonair.withgoogle.com/events/data-lake-workshop
Reveal opportunities to transform your business.Can your data work smarter? How can you use AI to unlock new opportunities? Join Google Data Cloud & AI Summit to gain expert insights, new solutions, and strategies that can help you transform customer experiences with modern apps, boost revenue, and reduce costs. Gather to explore the latest innovations in Google Data Cloud for databases, data analytics, business intelligence, and AI. Click on the link below to join this event.https://cloudonair.withgoogle.com/events/summit-data-cloud-2023
Google Data Cloud Live is coming to New York City. Join technology and data leaders and data professionals who will share insights on how you can capitalize on the next wave of data and AI trends. Learn ways your organization can align data and AI investment plans with business strategy for a force multiplier and innovate faster with the latest capabilities across applications, analytics, visualizations and predictions. Join with Google Cloud team for on April 13th in NYC for a half day of learning and innovation, exploring how you can harness the power of data to innovate faster and solve your most complex challenges. Expect to hear from the top experts while networking with your peers.Looking forward to seeing you there!Click on the link below to join this event. https://inthecloud.withgoogle.com/data-cloud-live-nyc-23/register.html
The Google Cloud Analytics Lakehouse is a data platform that is designed for large-scale machine learning, artificial intelligence (AI), and real-time analytics. It centers on improving data-driven decision making throughout the organisation by providing a unified data layer for all data types (structured, unstructured, streaming data), business intelligence and AI first-architecture, and built-in data governance – enabling rapid access to insights for everyone in the organization. Join this webinar, learn how to increase operational efficiencies, turn data into intelligence, and move to market faster with the Google Cloud Analytics Lakehouse. Date : 23 February 2023 10:00-10:45 GMT Click on the link below to join this event.https://cloudonair.withgoogle.com/events/transform-data-into-intelligence
Live demo on Manufacturing Data Engine and Looker. See how a factory manager and maintenance engineer can monitor yield, performance, and quality produced by their manufacturing operations, driving end-to-end visibility across the assembly line.Click on the video below to watch it in detail.Chapters:0:00 - Intro: Live factory visibility and analytics demo4:28 - High-level assembly line KPIs for factory managers5:18- Detailed machine-level KPIs for quality and maintenance managers7:22- Explore the relationship between quality and flow rate9:20 - Investigating alerts in the placement machine11:02 - How to improve OEE numbersExtra Credit:Learn more about Google Cloud's manufacturing solutions → https://goo.gle/3Nsw0dD Check out more smart factory videos → https://goo.gle/3SUOfJQ
Join us for a half day of learning and innovation, exploring how you can harness the power of data to innovate faster and solve your most complex challenges.Click on the link below to join this event.https://inthecloud.withgoogle.com/data-cloud-live-calgary-23/register.html
Are you interest to join Live workshop with Google Cloud and Databricks?The data lakehouse is a simple, open and efficient data architecture that combines the best of data warehouses and data lakes on one platform. The lakehouse brings analytics, business intelligence, data science and machine learning together to enable faster decisions and predictions at scale. Join Databricks and Google Cloud to learn how to leverage best practices for implementing a complete data analytics, data engineering and data science lifecycle on the lakehouse with Databricks on Google Cloud. Sign up to a Live Workshop: Databricks on Google Cloud Lakehouse LabsWednesday 22nd February 2023 | 10AM GMT Google Office London VictoriaClick on the link below to join this workshop.https://pages.databricks.com/202301-EMEA-FE-GCP-Cloud-Lakehouse-Lab_GCP-Cloud-Lakehouse-Lab-London-2.html
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