O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. AI-driven Future State Cloud Operations , June 7. Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Programming.

Course 51

Course Training Artificial Inteligence Software Review 51

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 60

Course Artificial Inteligence Training Blockchain 60

O'Reilly Media - Ideas

FEBRUARY 5, 2019

1] This combination of search and usage data provides a holistic view; search data shows the areas where subscribers are exploring, and usage identifies topics where they’re actively engaged. There are four aspects of the Next Architecture, each of which shows up in the platform’s search and usage data. Decomposition.

Trends 86

Trends Artificial Inteligence Blockchain Microservices 86

Linux Academy

APRIL 29, 2019

Introduction to Migrating Databases and Virtual Machines to Google Cloud Platform — This course covers the various issues of migrating databases and virtual machines to Google Cloud Platform. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 60

Linux AWS Big Data Course 60

O'Reilly Media - Ideas

DECEMBER 5, 2018

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. Microservices Architecture and Design , January 16-17. How to Give Great Presentations , February 7.

Artificial Inteligence 105

Artificial Inteligence Course Training Blockchain 105

O'Reilly Media - Ideas

APRIL 3, 2019

Introduction to Google Cloud Platform , June 3-4. 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.

Course 49

Course Artificial Inteligence Training Google Cloud 49

Altexsoft

JULY 4, 2022

In a small company, infrastructure engineers will likely be masters of all trades while in enterprises, this position may focus on a specific problem like cloud migration, continuous app deployments, or designing big data structures. Architecting with Google Compute Engine Specialization. Google Cloud Fundamentals.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Confluent

MAY 22, 2019

Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. It is helpful to think about the data created by the devices and the applications in three stages: Stage one is the initial creation, which takes place on the device, and is then sent over the network.

IoT 95

IoT Google Cloud Scalability Microservices 95

O'Reilly Media - Ideas

JANUARY 25, 2022

“AWS,” “Azure,” and “cloud” were also among the most common words (all in the top 1%), again showing that our audience is highly interested in the major cloud platforms. Both “GCP” and “Google Cloud” were in the top 3% of their respective lists. Units viewed and year-over-year growth for software development topics.

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Cloud: The Hidden Costs of Kubernetes with Bridget Lane , June 6. 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. Network DevOps , June 6.

Course 47

Course Training Artificial Inteligence Machine Learning 47

Linux Academy

JANUARY 1, 2020

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Big Data Essentials.

Linux 31

Linux Course AWS Google Cloud 31

Linux Academy

JANUARY 30, 2020

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Big Data Essentials.

Linux 29

Linux Course AWS Google Cloud 29

Linux Academy

DECEMBER 1, 2019

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Big Data Essentials.

Linux 26

Linux Course AWS Google Cloud 26

ParkMyCloud

FEBRUARY 20, 2020

They are suited for scale-out workloads such as web servers, containerized microservices , caching fleets, distributed data stores, and development environments. The r i nstance family is memory-optimized, which you might use for in-memory databases, real-time processing of unstructured big data, or Hadoop/Spark clusters.

Comparison 71

Comparison How To AWS Machine Learning 71

RapidValue

JULY 31, 2019

The code can be written in either a completely serverless code that uses no provisioned servers, or in combination with a traditional approach like microservices. For example, a web app could be written using both microservices and serverless code. The adoption of serverless architecture is growing rapidly.

Serverless 47

Serverless Architecture Cloud Development 47

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. process data in real time and run streaming analytics.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

O'Reilly Media - Ideas

JANUARY 13, 2020

Change is inevitable, and as programming languages continue to lean in to optimization for new trends in the cloud, microservices, big data, and machine learning, each language and its ecosystem will continue to adapt in its own unique way. KotlinConf sold out three years in a row with more than 1,700 attendees in 2019.

Programming 138

Programming Software Review Systems Review Machine Learning 138

Linux Academy

SEPTEMBER 30, 2019

We will also cover the different data types that are allowed in MySQL, and discuss user access and privileges. Google Cloud Functions is a serverless, event-driven, managed platform for building and connecting cloud services. Google Cloud Essentials (NEW). Big Data Essentials.

Linux 22

Linux Course Serverless Google Cloud 22

Confluent

FEBRUARY 6, 2019

Managed model server in the public cloud like Google Cloud Machine Learning Engine: The cloud provider takes over the burden of availability and reliability. The data scientist “just” deploys its trained model, and production engineers can access it. Kai Waehner works as technology evangelist at Confluent.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Linux Academy

NOVEMBER 1, 2019

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Big Data Essentials.

Linux 15

Linux Course AWS Google Cloud 15

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. But the current epoch of distributed computing is often traced to December of 2004, when Google researchers Jeffrey Dean and Sanjay Ghemawat presented a paper unveiling MapReduce. While the use of data cubes boosts Hadoop’s utility, it still involves compromise.

Big Data 40

Big Data Analytics Network Architecture 40

O'Reilly Media - Ideas

JANUARY 25, 2021

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. It’s possible that AI (along with machine learning, data, big data, and all their fellow travelers) is descending into the trough of the hype cycle. The result?

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Existek

JANUARY 27, 2023

It provides a comprehensive set of features for building enterprise applications and is widely used for creating web applications, RESTful web services, and microservices. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.

Software Development 52

Software Development Trends Technology Software 52

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. Who should take this course: We suggest you take our Big Data Essentials and Linux Essentials courses before taking this course. Use Docker Compose to deploy Microservices to Docker. Difficulty Level: Intermediate.

Course 60

Course DevOps Training Linux 60

Linux Academy

AUGUST 29, 2019

Google Cloud Essentials (NEW). This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and a detailed explanation of all major services – what they are, their use cases, and how to use them. Big Data Essentials.

Linux 18

Linux Course AWS Google Cloud 18

ParkMyCloud

JUNE 19, 2020

With so many options available, finding the right machine type for your workload can be confusing – which is why we’ve created this overview of Azure VM types (as we’ve done with EC2 instance types , and Google Cloud machine types ). The Ev4 and Esv4-series are ideal for various memory-intensive enterprise applications. Lsv2-series.

Azure 64

Azure Comparison Storage Virtualization 64

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Developing Applications on Google Cloud Platform , April 29-30. Introduction to Google Cloud Platform , April 3-4. Cloud Computing on the Edge , April 9. Microservice Fundamentals , April 15. Microservice Collaboration , April 16.

Course 10

Course Artificial Inteligence Training Microservices 10

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. 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.

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

Apiumhub

OCTOBER 2, 2019

Capside delivers Cloud training in all knowledge areas and technologies related to Cloud. Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud. They also offer training to leverage Cloud and DevOps technologies, to create a Continous Delivery Pipeline. Microservices with AWS Lambdas.

Software Review 9

Software Review Software Development Technical Review Course 9

Exadel

DECEMBER 4, 2019

CrossKube is a packaged solution that gives organizations the ability to deploy everything that is needed for a highly scalable, cloud-based application, including application best-practice templates for Kubernetes, microservices, containerization, application discovery, database connectivity, front-end application structure and automated testing.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Confluent

OCTOBER 10, 2019

Different teams can develop, maintain, and change integration to devices and machines without being dependent on other sources or the sink systems that process and analyze the data. Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. Kai Waehner works as technology evangelist at Confluent.

IoT 20

IoT Internet Weak Development Team Scalability 20