Linux Academy

JUNE 25, 2019

Azure CLI Essentials. This beginner-level course teaches the essentials of using the Azure CLI to manage your Azure environment using the command line. You will learn important concepts of the Azure CLI to create and manage resources in Azure and gain a basic understanding of how to build scripts. Azure Concepts.

Linux 60

Linux Course Cloud Google Cloud 60

Linux Academy

FEBRUARY 26, 2019

Eschewing any technical practices, this course takes a high-level view of the history of Linux, the open-source movement, and how this powerful software is used today. Big Data Essentials — Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 80

Linux AWS Big Data Course 80

Linux Academy

APRIL 29, 2019

You learn the basic knowledge of computer hardware, gain an understanding of open-source applications in the workplace, and learn to navigate systems on a Linux desktop, as well as rudimentary commands to navigate the Linux command line. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 60

Linux AWS Big Data Course 60

Linux Academy

JANUARY 29, 2019

Eschewing any technical practices, this course takes a high-level view of the history of Linux, the open-source movement, and how this powerful software is used today. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of Big Data.

Linux 60

Linux Technical Review AWS Big Data 60

CTOvision

OCTOBER 22, 2014

About two years ago, we began investigating magnetic field architecture (MFA) and hover technology as a better way to build, move people and move materials,” said Arx Pax founder Greg Henderson. Cloudera , Red Hat make enterprise big data pact. Cloudera Selects Microsoft Azure as a Preferred Cloud Platform. Hey, McFly!

Technical Review 108

Technical Review Technology Software Review 3D 108

Mobilunity

MAY 20, 2021

For example, they can create custom applications, help with the migration of existing data, and manage and support cloud architectures. Whether you are looking for an Oracle cloud developer or an experienced Azure cloud developer, it might be challenging to find a suitable professional. rate each year. Cloud Architect.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Linux Academy

JANUARY 1, 2020

Courses Free in January : Implementing Azure DevOps Development Processes. Azure Cloud Services and Infrastructure. Jenkins is an automation server, and as an open-source platform, it has an immense amount of integration benefits when it comes down to engaging in software development and projects that require rigorous testing.

Linux 31

Linux Course AWS Google Cloud 31

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

JANUARY 30, 2020

Courses Free in February : Implementing Azure DevOps Development Processes. Jenkins is an automation server, and as an open-source platform, it has an immense amount of integration benefits when it comes down to engaging in software development and projects that require rigorous testing. Big Data Essentials.

Linux 29

Linux Course AWS Google Cloud 29

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Open Source 59

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. Linux Operating System Fundamentals.

Linux 26

Linux Course AWS Google Cloud 26

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

Linux Academy

JULY 30, 2019

AWS Security Essentials – This course prepares learners to be more security-minded with their architecture in AWS. Big Data Essentials. Included in this course is a comprehensive introduction addressing the question of, “What is Big Data?” Azure Concepts. Devops Essentials. Then this course is for you.

Linux 25

Linux Course AWS Google Cloud 25

Linux Academy

MARCH 26, 2019

With the proliferation of open-source solutions and direction changes at Microsoft, a decision was made to open-source the.NET Core platform. With the assistance of this move, Microsoft also released an open-source version of PowerShell to allow cross-platform administration and advanced shell functionality.

Linux 12

Linux AWS Big Data Course 12

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. Linux Operating System Fundamentals.

Linux 15

Linux Course AWS Google Cloud 15

Gorilla Logic

OCTOBER 2, 2019

Regardless of whether your goal is to simply track data and control devices, or you aim to combine IoT with big data, artificial intelligence (AI), and machine learning to create a truly connected enterprise and transform your business model, you’re likely to encounter challenges. Legacy architecture. Complexity.

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

Altexsoft

JANUARY 22, 2020

BI is a practice of supporting data-driven business decision-making. And it mainly focuses on historical data, which in most cases doesn’t lose its importance or relevance. Batch processing architectural components. Historical data is stored as a stable unit that can be divided into pieces. Azure Stream Analytics.

Analytics 20

Analytics Data IoT Analysis 20

CIO

AUGUST 18, 2022

To find out, he queried Walgreens’ data lakehouse, implemented with Databricks technology on Microsoft Azure. “We With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights. The lakehouse as best practice.

Data 349

Data Technical Advisors Artificial Inteligence Technical Review 349

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 Big Data 18

Linux Academy

JULY 30, 2019

AWS Security Essentials – This course prepares learners to be more security-minded with their architecture in AWS. Big Data Essentials. Included in this course is a comprehensive introduction addressing the question of, “What is Big Data?” Azure Concepts. Devops Essentials. Then this course is for you.

Linux 12

Linux Course AWS Google Cloud 12

Exadel

DECEMBER 4, 2019

We found that our commitment to agile development, open source and innovation-based technologies helped organizations create and maintain amazing products and platforms the most effectively. It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). AEM Authoring Toolkit. International Expansion.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Altexsoft

JUNE 1, 2020

Data lakes are repositories used to store massive amounts of data, typically for future analysis, big data processing, and machine learning. A data lake can enable you to do more with your data. What Is a Data Lake? Since data lakes are capable of storing multiple types of data, ELT is preferred.

Data 69

Data Cloud Azure Storage 69

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

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. Plus the name sounded cool for an open-source project.”.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

FEBRUARY 24, 2023

Kubernetes or K8s for short is an open-source platform to deploy and orchestrate a large number of containers — packages of software, with all dependencies, libraries, and other elements necessary to execute it, no matter the environment. Source: Dynatrace What auxiliary processes do companies entrust to the orchestrator?

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

SEPTEMBER 23, 2021

One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. What is Data Hub?

Architecture 52

Architecture Data Storage IoT 52

Existek

JANUARY 27, 2023

Another trend expected to shape software development in the financial services industry is the increasing use of open-source software. Open-source software offers several benefits, such as lower costs, a wider pool of developers, and greater flexibility.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

APRIL 16, 2021

A multidimensional model of data is what makes it possible for OLAP systems to extract the required information, perform complex filtering, and allow for analysis of this data. Online Analytical Processing Architecture. A data warehouse can be used differently depending on the goals of the organization. Data extraction.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

NOVEMBER 7, 2022

Before we start, all those who are new to data engineering can watch our video explaining its general concepts. How data engineering works. Apache Airflow is an open-source Python -based workflow orchestrator that enables you to design, schedule, and monitor data pipelines. Airflow architecture.

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Competition between the leading cloud providers will increase, resulting in more services available for infrastructure as a service, integrations and open source, analytics, compliance, and hybrid cloud capabilities. Data can be moved from one cloud to another without the additional cost of reading from one cloud to write to another.

Cloud 49

Cloud AWS Open Source Data Center 49

Altexsoft

OCTOBER 8, 2021

But more often than not data is scattered across a myriad of disparate platforms, databases, and file systems. What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. On-premise data integration tools. Open-source data integration tools.

Tools 52

Tools Data Software Review Open Source 52

Kentik

MARCH 7, 2023

So far in this series , I’ve outlined how a scaling enterprise’s accumulation of data (data gravity) struggles against three consistent forces: cost, performance, and reliability. As datasets scale and networks become distributed to free their data, the data gravity story begins to morph into a data complexity story.

Network 99

Network Cloud Data Case Study 99

Cloudera

AUGUST 11, 2021

For example, Cloudera Data Platform provides a big-data platform designed for deployment in any type of enterprise system–physical or in a cloud. This is even more evident with big data. “With many (open source) masters, the OpenStack platform failed to achieve simplicity. Reason No.

Systems Review 121

Systems Review Storage Software Review Enterprise 121

Altexsoft

APRIL 26, 2022

We’ll dive deeper into Snowflake’s pros and cons, its unique architecture, and its features to help you decide whether this data warehouse is the right choice for your company. Data warehousing in a nutshell. The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

JUNE 20, 2019

Originally being an open-source solution, MySQL now is owned by Oracle Corporation. Partial open-source. Although MySQL has the open-source part, it’s mostly under Oracle’s license. MariaDB is an open-source fork from MySQL with commercial support. Let’s take a deeper look. Encryption.

Systems Review 85

Systems Review System Software Review Open Source 85

Xicom

SEPTEMBER 26, 2018

Basically it is an open source library that uses data flow graphs for numerical computation. The flexible architecture of TensorFlow allows users to easily implement computations on one or more GPUs or CPUs with a single API, irrespective of whether it is a desktop computer, a server or even a mobile phone.

Machine Learning 40

Machine Learning Artificial Inteligence Web Development Development 40

Mobilunity

NOVEMBER 10, 2022

User-friendly architecture; Usage of English as the standard language, which makes it easy to understand for all users; Multiple data views; Open-source code; As an interactive language, it is easy to communicate and interpret. It can run on local internet or intranet; Processing speed. When SQL is Used.

Development 52

Development How To Comparison Recruiting 52