Kaseya

MAY 13, 2021

AWS offers an array of dynamic services such as virtual private cloud (VPC), elastic compute cloud (EC2), simple storage service (S3), relational database service, AWS Lambda and more. Access to a Diverse Range of Tools. Easy Training and Certifications. What Are the Advantages of Google Cloud? Database Services.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Apache Hadoop, Spark and Big Data Foundations , June 5. Real-time Data Foundations: Kafka , June 11.

Course 44

Course Training Artificial Inteligence Machine Learning 44

O'Reilly Media - Ideas

APRIL 3, 2019

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21. Programming with Java Lambdas and Streams , May 16.

Course 46

Course Artificial Inteligence Training Google Cloud 46

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 55

Course Artificial Inteligence Training Blockchain 55

RapidValue

AUGUST 4, 2020

Using serverless computing services, such as AWS Lambda, take away the need for developers or other IT staff to configure or manage cloud instances. Deploying popular containers like Kubernetes and Docker offer various benefits such as efficiency, simplicity, maintainability, portability and multi-cloud platforms.

Cloud 92

Cloud How To Azure AWS 92

AWS Machine Learning - AI

AUGUST 13, 2024

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and quickly integrate and deploy them into your applications using the AWS tools without having to manage the infrastructure. Lastly, the Lambda function stores the question list in Amazon S3.

Healthcare 104

Healthcare Artificial Inteligence Analysis Lambda 104

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 62

Course Training Artificial Inteligence Software Review 62

RapidValue

OCTOBER 12, 2020

Some of the key AWS tools and components which are used to build Microservices-based architecture include: Computing power – AWS EC2 Elastic Container Service and AWS Lambda Serverless Computing. Storage – Secure Storage ( Amazon S3 ) and Amazon ElastiCache.

Microservices 53

Microservices AWS Architecture Applications 53

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 47

Course Training Artificial Inteligence Software Review 47

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level. Developers tools.

Azure 52

Azure AWS Cloud How To 52

RapidValue

JULY 31, 2019

Serverless architecture is another buzzword to hit the cloud-native space, but what is it, is it worthwhile and how can it work for you? Serverless architecture is on the rise and is rapidly gaining acceptance. What is Serverless Architecture? In serverless applications, a cloud provider manages the provision of servers.

Serverless 47

Serverless Architecture Cloud Development 47

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Beginner's Guide to Writing AWS Lambda Functions in Python , April 1. Designing Serverless Architecture with AWS Lambda , April 15-16. Kubernetes Serverless with Knative , April 17. Serverless Architectures with Azure , April 23-24.

Course 10

Course Artificial Inteligence Training Machine Learning 10

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19. Practical Data Cleaning with Python , March 20-21. Programming with Java Lambdas and Streams , March 5.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Mentormate

MAY 12, 2020

The true power of the service is that you commit to compute resources (Amazon EC2, AWS Fargate, and AWS Lambda), and not to a specific EC2 instance type of family. Examples of such workloads are big data, containerized workloads, CI/CD, web servers, and high-performance computing (HPC). Rearchitecting. Relational Databases.

AWS 98

AWS Cloud Serverless Lambda 98

Apiumhub

OCTOBER 2, 2019

Microservices with AWS Lambdas. Serverless Architecture Using AWS. Habla Computing has a solid expertise in Scala, its ecosystem of libraries and tools, and functional programming. You can benefit from their expertise in any of the courses they offer: Introduction to Scala. Purely Functional Scala. Advanced Functional Scala.

Software Review 9

Software Review Software Development Technical Review Course 9

Linux Academy

NOVEMBER 6, 2019

Building a Full-Stack Serverless Application on AWS. Using SQL to Retrieve Data. Using SQL to Change Data. Provisioning a Gen 2 Azure Data Lake . Trigger an AWS Lambda Function from an S3 Event. Hiding Apache Data and Implementing Safeguards. Building a Full-Stack Serverless Application on AWS.

Google Cloud 16

Google Cloud Azure Linux AWS 16

Altexsoft

MAY 20, 2020

Due to authentication and encryption provided at all points of connection, IoT Core and devices never exchange unverified data. Another useful feature of IoT Core is Device Shadow which stores the current or desired state of every device.

IoT 141

IoT Azure AWS Transportation 141

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. or—using Knative—in Kubernetes.

Conference 8

Conference Data Data Engineering Big Data 8

Saviynt

JANUARY 7, 2020

AWS Lambda and Azure Functions offer examples of this challenge. These serverless technologies build security into the functions and offer varying monitoring and alerting capabilities. Saviynt’s cloud-native platform uses Big Data technologies like ElasticSearch and Hadoop architecturally.

Software Review 12

Software Review Technical Review Compliance Government 12

O'Reilly Media - Ideas

JANUARY 25, 2021

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. serverless, a.k.a. FaaS, a.k.a.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145