Altexsoft

JULY 4, 2022

Cloud infrastructure engineer. Obviously, this professional creates, deploys, updates, and supports cloud-based infrastructures. Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. Network infrastructure engineer. Examples from LinkedIn.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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 85

Trends Artificial Inteligence Blockchain Microservices 85

Linux Academy

APRIL 29, 2019

By adding free cloud training to our Community Membership, students have the opportunity to develop their Linux and Cloud skills further. Cloud Security Fundamentals — The cloud has brought about tons of innovation and features. Using real-world examples, we highlight the growing importance of big data.

Linux 60

Linux AWS Big Data Course 60

O'Reilly Media - Ideas

APRIL 3, 2019

Get hands-on training in TensorFlow, cloud computing, blockchain, Python, Java, and many other topics. Spotlight on Cloud: The Future of Internet Security with Bruce Schneier , April 4. Spotlight on Data: Creating Smart Products Requires Collaboration, with Gretchen Anderson , April 15. Data science and data tools.

Course 48

Course Artificial Inteligence Training Google Cloud 48

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. CompTIA Cloud+ CV0-002 Exam Prep , January 29.

Artificial Inteligence 105

Artificial Inteligence Course Training Blockchain 105

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. 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. AI and machine learning.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Linux Academy

JANUARY 1, 2020

To continually support your mission to learn and grow, we encourage you to try these free courses and resources for developing and advancing your Cloud skills. Azure Cloud Services and Infrastructure. Google Cloud Essentials (NEW). Big Data Essentials. Included with Community Membership. YAML Essentials.

Linux 31

Linux Course AWS Google Cloud 31

Linux Academy

JANUARY 30, 2020

To continually support your mission to learn and grow, we encourage you to try these free courses and resources for developing and advancing your Cloud skills. AWS Cloud Services and Infrastructure – Cost Optimization Deep Dive. Google Cloud Essentials (NEW). Big Data Essentials. How to Get a Linux Job.

Linux 29

Linux Course AWS Google Cloud 29

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

Linux Academy

DECEMBER 1, 2019

To continually support your mission to learn and grow, we are always adding new, free courses and resources for developing Linux and Cloud skills. Google Cloud Essentials (NEW). Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?”

Linux 26

Linux Course AWS Google Cloud 26

Confluent

FEBRUARY 6, 2019

Let’s take a look at some of these options: Official standards like Open Neural Network Exchange (ONNX), Portable Format for Analytics (PFA) or Predictive Model Markup Language (PMML): A data scientist builds a model with Python. This approach supports different frameworks, products and cloud services.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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

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

To continually support your mission to learn and grow, we are always adding new, free courses and resources for developing Linux and Cloud skills. We will also cover the different data types that are allowed in MySQL, and discuss user access and privileges. Google Cloud Essentials (NEW). Big Data Essentials.

Linux 22

Linux Course Serverless Google Cloud 22

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. Cloud Native Certified Kubernetes Administrator (CKA). Difficulty Level: Intermediate.

Course 60

Course DevOps Training Linux 60

Linux Academy

NOVEMBER 1, 2019

To continually support your mission to learn and grow, we are always adding new, free courses and resources for developing Linux and Cloud skills. Google Cloud Essentials (NEW). Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?”

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

Linux Academy

AUGUST 29, 2019

To continually support you in your mission to learn and grow we are always adding new courses and free resources to begin developing your Linux and Cloud skills. You will walk through a local installation as well as how to use our Cloud Servers in order to follow along with our demos. Google Cloud Essentials (NEW).

Linux 18

Linux Course AWS Google Cloud 18

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

Exadel

DECEMBER 4, 2019

Innovation Accelerates in the Cloud. One of our proudest achievements of the year was bringing to market the Exadel Innovation Cloud. The Innovation Cloud is a powerful low-code development platform that lets technology leaders explore and test new technologies such as blockchain, AI, mobile, chatbot, and machine learning models.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

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

Trigent

MARCH 29, 2023

Flexible Architecture that’s based on Serverless Cloud-Native Technology The importance of providing a unified experience while offering embedded insurance needs to be reinforced and be an essential design parameter for the Engineering team. Adopting a Cloud Native, Serverless approach offers immense flexibility.

Insurance 95

Insurance Strategy Serverless Big Data 95

Altexsoft

FEBRUARY 24, 2023

Over the past few years, Kubernetes has become an integral part of cloud-native computing and the gold standard for container orchestration at scale. Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

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? In serverless applications, a cloud provider manages the provision of servers. These last in stateless ephemeral containers which are fully managed by the cloud vendor.

Serverless 47

Serverless Architecture Cloud Development 47

Existek

JANUARY 27, 2023

Languages, frameworks, and cloud computing One of the most commonly used frameworks in software development for financial services, banks, and fintech is the Spring Framework. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.

Software Development 52

Software Development Trends Technology Software 52

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 97

IoT Google Cloud Scalability Microservices 97

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

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 ). TiB) and the highest vCPU count (up to 128) of any VM in the cloud. Av2 Series. Mv2-series.

Azure 64

Azure Comparison Storage Virtualization 64

Confluent

OCTOBER 10, 2019

Before I discuss these in more detail, let’s take a look at some common use cases where Confluent Platform and Confluent Cloud are used for IoT projects today. Confluent Platform and Confluent Cloud are already used in many IoT deployments, both in Consumer IoT and Industrial IoT (IIoT). Hybrid, multi-cloud, and global deployments.

IoT 20

IoT Internet Weak Development Team Scalability 20

O'Reilly Media - Ideas

JANUARY 25, 2022

Many businesses are moving IT operations to “the cloud,” a shift that’s probably been accelerated by the COVID-19 pandemic. 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. That surge is belated but healthy.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

O'Reilly Media - Ideas

JANUARY 25, 2021

In our industry, cloud computing might be a good example. The data includes all usage of our platform, not just content that O’Reilly has published, and certainly not just books. 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.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145