Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. Implementation: Deploying functions using AWS Lambda, triggered by events, eliminating the need for managing servers and allowing developers to focus on writing code.

Trends 52

Trends Innovation Cloud Serverless 52

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Text Analysis for Business Analytics with Python , August 12.

Course 47

Course Training Artificial Inteligence Software Review 47

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Fundamentals of Machine Learning with AWS , June 19. Building Machine Learning Models with AWS Sagemaker , June 20. Fraud Analytics using Python , June 25. Beginner’s Guide to Writing AWS Lambda Functions in Python , June 28.

Course 44

Course Training Artificial Inteligence Machine Learning 44

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Cloudera

MARCH 14, 2023

For example, a developer may be asked to tap into the data of a newly acquired application, parsing and transforming it before delivering it to the business’s favorite analytical system where it can be joined with existing data sets. DataFlow Functions are supported on AWS Lambda, Azure Functions, and Google Cloud Functions.

Agile 88

Agile Development Data Serverless 88

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Source: IoT Analytics. The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. AWS IoT Platform: the best place to build smart cities. Source: AWS.

IoT 141

IoT Azure AWS Transportation 141

O'Reilly Media - Ideas

MARCH 6, 2019

Get hands-on training in machine learning, AWS, Kubernetes, Python, Java, and many other topics. An Introduction to Amazon Machine Learning on AWS , April 29-30. Business Data Analytics Using Python , April 29. Developing Applications on Google Cloud Platform , April 29-30. AWS Access Management , April 4.

Course 10

Course Artificial Inteligence Training Machine Learning 10

O'Reilly Media - Ideas

FEBRUARY 6, 2019

An Introduction to Amazon Machine Learning on AWS , March 6-7. Business Data Analytics Using Python , February 27. Beginner’s Guide to Writing AWS Lambda Functions in Python , March 1. Programming with Java Lambdas and Streams , March 5. AWS Certified Security - Specialty Crash Course , March 27-28.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Hypergrid

FEBRUARY 15, 2019

For example, the Serverless Framework is the leading deployment framework in the FaaS world, and can deploy to AWS, Google, Azure, IBM Cloud, or any Kubernetes Cluster – public or private. While AWS Lambda isn’t the only FaaS platform, it is certainly where we see a lot of early adoption by enterprises.

Lambda 40

Lambda Serverless AWS Compliance 40

Hypergrid

FEBRUARY 15, 2019

For example, the Serverless Framework is the leading deployment framework in the FaaS world, and can deploy to AWS, Google, Azure, IBM Cloud, or any Kubernetes Cluster – public or private. While AWS Lambda isn’t the only FaaS platform, it is certainly where we see a lot of early adoption by enterprises.

Lambda 40

Lambda Serverless AWS Compliance 40

Altexsoft

DECEMBER 28, 2018

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. AWS Lambda.

Serverless 68

Serverless Azure AWS Architecture 68

Confluent

JULY 10, 2019

applicationName = 'wordcount-lambda-example'. // Default artifact naming. applicationName = 'wordcount-lambda-example'. // mavenLocal publish publishing { publications { streams(MavenPublication) { artifact distZip } } repositories { mavenLocal() } } // Default artifact naming. zip ==> /wordcount-lambda-example-1.0.0/bin/wordcount-lambda-example

Lambda 89

Lambda Analytics Testing Groups 89

Altexsoft

JUNE 1, 2020

You will also learn what are the essential building blocks of a data lake architecture, and what cloud-based data lake options are available on AWS, Azure, and GCP. A data lake is a central repository used to store both structured and unstructured data for use in analytics, big data processing, and machine learning.

Data 69

Data Cloud Azure Storage 69

O'Reilly Media - Ideas

MAY 19, 2020

. • Public cloud dominates, but most organizations use a mix of cloud options; almost half (49%) continue to run applications in traditional, on-premises contexts. More than half of respondents use multiple cloud services. • AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud.

Cloud 141

Cloud Microservices Serverless Survey 141

Linux Academy

NOVEMBER 6, 2019

Google Cloud Content. Google Cloud Stackdriver Deep Dive. Google Cloud Apigee Certified API Engineer. Google Cloud Certified Professional Cloud Security Engineer. Building a Full-Stack Serverless Application on AWS. AWS Certified Machine Learning – Specialty.

Google Cloud 16

Google Cloud Azure Linux AWS 16

Palo Alto Networks

NOVEMBER 26, 2019

All of the features from Twistlock are available in the Prisma Cloud dashboard within the Compute tab, highlighted in the above screenshot. In future releases, we’ll deepen this integration with more native asset inventory data, unified alerting and risk analytics, traversing both compute and service planes.

Serverless 56

Serverless Cloud Firewall Azure 56