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A longtime leader in data analytics, Google continues to earn their position by continually improving their data analytics offerings. Now, with Google Cloud Platform (GCP), you can capture, process, store, and analyze your data in one place, allowing you to change your focus from infrastructure to analytics that informs business decisions. However, you can also use GCP Big Data tools in combination with other cloud-native and open-source solutions to meet your needs. Below is an overview of GCP Big Data Tools and how you might utilize them to improve analytics.

Behind various Google services lies the powerful Cloud AI, a neural net-based, machine learning technology that Google has perfected for use with services like image search and voice recognition. Here are five ways you could use Cloud AI to improve your business.

From application access to platform maintenance and security, learn what factors you should take into account when deciding to use Software as a Service(SaaS).

Learn to design GCP deployments.

This course gives participants a broad study of networking options on Google Cloud Platform. You will explore and deploy GCP networking technologies, such as Google Virtual Private Cloud (VPC) networks, subnets, firewalls, interconnection among networks, load balancing, Cloud DNS, and Cloud CDN.

Discuss the available infrastructure components of Google Cloud Platform and how they provide a powerful and flexible foundation on which to build your applications.

Earning a Microsoft Certified Solutions Expert (MCSE) certification validates the necessary skills related to particular Microsoft product areas.

This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud. GK# 4532. Virtual Classroom Live.

Learn the value of Google Cloud Platform.

New – Learn advanced skills for configuring and maintaining a highly available and scalable virtual infrastructure.