Anyone interested in cloud computing, data warehousing, lift and shift of legacy applications, Internet of Things, database management, security and compliance, networking, machine learning, serverless application development.
REGISTER HERE: https://inthecloud.withgoogle.com/onboard/na-classic-register.html
I’m pleased to invite you to attend the Google Cloud OnBoard: GCP Fundamentals - Core Infrastructure coming to Miami on June 11th. This free, full-day training event will provide you and your team an introduction to the Google Cloud Platform's capabilities.
Through a combination of instructor-led presentations and demos, you and your team will learn how to get started with virtual machines, containers, applications, big data, and machine learning.
When you register, you’ll get a free pass for one day of training that has been designed to help you understand and get started with cloud services such as:
Google Compute Engine
You’ll also have the opportunity to mingle with fellow industry innovators during the networking sessions.
Date & Location:
Miami, June 11- Temple House - 1415 Euclid Ave, Miami Beach, FL 33139
Register here - https://events.withgoogle.com/core-infra-430190-atl/
FREE - This one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.
REGISTER HERE - https://www.eventbrite.com/e/byte-to-beautiful-building-a-data-pipeline-with-google-cloud-platform-tickets-53259878731
Join Google partner Pandera for Part 1 of our 2 part “Byte to Beautiful” course where we will teach you how to architect and execute an analytic strategy that drives your entire organization forward. In Part 1, we will get hands-on and create a pipeline able to feed a modern information architecture. We will then show you how to leverage GCP best practices to navigate data storage options like storing data for persisting methods (commonly used for data on the fly) vs. real-time analytics. -