Linux Academy

APRIL 30, 2019

Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data. Starting with the definition of big data, we describe the various characteristics of big data and its sources. No prior AWS experience is required.

Linux 113

Linux AWS Big Data Course 113

Altexsoft

FEBRUARY 24, 2023

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). 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

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. 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. Programming.

Course 66

Course Training Artificial Inteligence Software Review 66

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 83

Trends Artificial Inteligence Blockchain Microservices 83

Linux Academy

APRIL 29, 2019

Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data. Starting with the definition of big data, we describe the various characteristics of big data and its sources. No prior AWS experience is required.

Linux 60

Linux AWS Big Data Course 60

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. 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. Programming.

Course 50

Course Training Artificial Inteligence Software Review 50

Kentik

FEBRUARY 20, 2023

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

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

RapidValue

SEPTEMBER 3, 2019

The rise of Kubernetes epitomizes the transition from Big Data to flexible data and it is evolving from supporting simple, stateless applications to sophisticated data-driven applications. Azure Kubernetes Service or AKS enables you to do that. Azure Kubernetes Service or AKS enables you to do that.

Azure 12

Azure Applications Agile Systems Review 12

Linux Academy

JANUARY 1, 2020

Courses Free in January : Implementing Azure DevOps Development Processes. Azure Cloud Services and Infrastructure. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Azure Concepts. How to Get a Linux Job.

Linux 31

Linux Course AWS Google Cloud 31

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 46

Course Training Artificial Inteligence Machine Learning 46

Linux Academy

JANUARY 30, 2020

Courses Free in February : Implementing Azure DevOps Development Processes. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data.

Linux 29

Linux Course AWS Google Cloud 29

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

Software Review 94

Software Review Technical Review Software Development Team Review 94

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. Software architecture, Kubernetes, and microservices were the three topics with the greatest usage for 2021. That’s no longer true. Programming Languages.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

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

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

HNAS provides a transparent data migrator for block and file data to private and public clouds and integrates with HCP object store. HCP, Hitachi Content Platform, lets users securely move data to, from, and among multiple cloud services, and better manage use cases including data governance, IoT, and big data.

Cloud 49

Cloud AWS Azure Data Center 49

UruIT

DECEMBER 31, 2018

Course titles include Fundamentals of Software Architecture; Developing Microservices; The Architect Elevator; Building Evolutionary Architecture; and Domain-Driven Design and Event-Driven Microservices. These immersive courses run for two full days, 9:00 a.m. to 5:00 p.m., Stay tuned for further details!

Conference 89

Conference CTO Coach Fractional CTO Serverless 89

Linux Academy

DECEMBER 1, 2019

Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. Azure Concepts. AWS Essentials. DevSecOps Essentials.

Linux 26

Linux Course AWS Google Cloud 26

Altexsoft

FEBRUARY 11, 2020

With the rise of big data, organizations are collecting and storing more data than ever before. This data can provide valuable insights into customer needs and assist in creating innovative products. Unfortunately, this also makes data valuable to hackers, seeking to infiltrate systems and exfiltrate information.

Tools 109

Tools Linux Analysis Open Source 109

Linux Academy

SEPTEMBER 30, 2019

We will install some of the more popular database systems that are available on Linux and see how to work with data in those systems. Azure Command-Line Essentials – This beginner-level course teaches the essentials of using the Azure CLI to manage your Azure environment using the command line. Big Data Essentials.

Linux 22

Linux Course Serverless Google Cloud 22

Altexsoft

JULY 4, 2022

Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. The competencies of on-premises and cloud infrastructure engineers wouldn’t differ that much: They both build and maintain systems and networks to run business software and store data.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

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

Linux Academy

NOVEMBER 1, 2019

Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Using real-world examples, we highlight the growing importance of Big Data. Azure Concepts. AWS Essentials. DevSecOps Essentials.

Linux 15

Linux Course AWS Google Cloud 15

Linux Academy

AUGUST 29, 2019

Let’s take a quick look at how to install and configure SQL Server on Linux, whether we’re using a traditional machine, containers, or an Azure SQL VM. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?”

Linux 18

Linux Course AWS Google Cloud 18

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. Chef – The Local Cookbook Development Badge.

Course 60

Course DevOps Training Linux 60

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 11

Artificial Inteligence Course Training Artificial Intelligence 11

Altexsoft

JUNE 20, 2019

Being a part of the consistent Microsoft ecosystem, MSSQL can be integrated with Microsoft cloud, Azure SQL Database or SQL Server on Azure Virtual Machines. The scalability, where data is spread out across a distributed network of manageable servers is one of the MongoDB’s essences. Cloud database support. How can it help you?

Systems Review 85

Systems Review System Software Review Open Source 85

Apiumhub

OCTOBER 2, 2019

Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud. Microservices with AWS Lambdas. Building Reliable Microservices with Microsoft Service Fabric. Habla Computing has a solid expertise in Scala, its ecosystem of libraries and tools, and functional programming. Purely Functional Scala. Apium Academy.

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

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Microservice Fundamentals , April 15. Microservice Collaboration , April 16. Serverless Architectures with Azure , April 23-24. Domain-Driven Design and Event-Driven Microservices , May 14-15. Microservice Fundamentals , May 28. Web programming.

Course 10

Course Artificial Inteligence Training Microservices 10

G2 Crowd Software

DECEMBER 5, 2017

Microsoft offers a free “express” version for building smaller applications, which can host up to 10GB of data. It comes with development tools, management tools and Azure backup and restore. Teradata is a powerhouse when it comes to hosting a large data warehouse with greater storage and faster processing power” — Teradata Review.

Open Source 61

Open Source Software Review Software Technical Review 61

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

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 Artificial Inteligence 8

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. What’s behind this story?

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145