Linux Academy

JUNE 25, 2019

Google Cloud Concepts. This course is for the true Google Cloud Platform beginner. What is the cloud or Google Cloud? Why do we use Google Cloud? We’ll provide a simple introduction to the concepts of Cloud Computing, Google Cloud Platform, and it’s core services.

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

MAY 28, 2019

Use Secrets to protect sensitive data like passwords. Google Cloud Essentials – This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and detailed explanations of all major services – what they are, their use cases, and how to use them.

Linux 104

Linux AWS Azure Technical Review 104

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

Mobilunity

MAY 20, 2021

Cloud engineers deal with all types of tasks related to SaaS, PaaS, and IaaS services. For example, they can create custom applications, help with the migration of existing data, and manage and support cloud architectures. A cloud developer is an experienced IT professional that works with cloud services.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. In addition, this approach is more tailored for both structured as well unstructured data sets. Classic ETL. Challenges.

Storage 40

Storage Big Data Google Cloud Analysis 40

Linux Academy

JANUARY 1, 2020

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. Google Cloud Essentials (NEW). Big Data Essentials. Free Essentials Courses.

Linux 31

Linux Course AWS Google Cloud 31

Linux Academy

JANUARY 30, 2020

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. Google Cloud Essentials (NEW). Big Data Essentials. Free Essentials Courses.

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

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

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. The concept of parallel processing based on a “clustered” multi-computer architecture has a long history dating back at least as far as Gene Amdahl’s work at IBM in the 1960s. 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

JULY 30, 2019

AWS Security Essentials – This course prepares learners to be more security-minded with their architecture in AWS. Google Cloud Security Essentials – This course teaches the core fundamentals necessary to properly secure your Google Cloud environment, and manage who has access to what resources.

Linux 25

Linux Course AWS Google Cloud 25

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. So how can the Kafka ecosystem help here?

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

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

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

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

JULY 30, 2019

AWS Security Essentials – This course prepares learners to be more security-minded with their architecture in AWS. Google Cloud Security Essentials – This course teaches the core fundamentals necessary to properly secure your Google Cloud environment, and manage who has access to what resources.

Linux 12

Linux Course AWS Google Cloud 12

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 Big Data 18

Trigent

MARCH 29, 2023

Rather it requires a conscious effort to design and develop an architecture that delivers an integrated experience regardless of the distribution partners. This allows InsurTechs to take advantage of additional data available with the distribution partner to personalize the coverage and premiums.

Insurance 95

Insurance Strategy Serverless Big Data 95

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.

Analytics 20

Analytics Data IoT Analysis 20

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

TechCrunch

APRIL 5, 2022

Data.World, which today announced that it raised $50 million in Series C funding led by Goldman Sachs, looks to leverage cloud-based tools to deliver data discovery, data governance and big data analytics features with a corporate focus.

Enterprise 249

Enterprise Organization Data Government 249

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). Now users can write their own scripts and run them over the data,” he explains. .

Data 350

Data Technical Advisors Artificial Inteligence Technical Review 350

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

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

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

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

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

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

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 25, 2019

Notably, data warehouse doesn’t support as many concurrent users as a database, while being designed for a small group of analysts and business users. Data warehouse architecture. To structure a data warehouse, four basic components are combined. Data warehouse storage. Data lake architecture.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. Will you be capturing that data in real time or in batches? An end-to-end architecture for the Internet of Things. Google Cloud SDK.

IoT 98

IoT Google Cloud Scalability Microservices 98

ProdOps

FEBRUARY 16, 2021

In the most recent acquisition for the company, DoiT International (DoiT), a global multi-cloud software and managed service provider with deep expertise in Kubernetes, Machine Learning, and Big Data, today announced that it has acquired ProdOps , a top provider of scalable software operations and infrastructure automation services.

Fractional CTO 52

Fractional CTO Cloud Company Google Cloud 52

Altexsoft

SEPTEMBER 21, 2023

In this edition of “The Good and The Bad” series, we’ll dig deep into Elasticsearch — breaking down its functionalities, advantages, and limitations to help you decide if it’s the right tool for your data-driven aspirations. Key components of the Elasticsearch architecture. What is Elasticsearch?

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Confluent

OCTOBER 10, 2019

Let’s now take a look at the 10,000-foot view of a robust IoT integration architecture. End-to-end enterprise integration architecture. IoT integration architectures need to integrate the edge (devices, machines, cars, etc.) with the datacenter (on premises, cloud, and hybrid) to be able to process IoT data.

IoT 20

IoT Internet Weak Development Team Scalability 20

Altexsoft

MAY 12, 2023

As the data world evolves, more formats may emerge, and existing formats may be adapted to accommodate new unstructured data types. Unstructured data and big data Unstructured and big data are related concepts, but they aren’t the same. MongoDB, Cassandra), and big data processing frameworks (e.g.,

Examples 59

Examples Tools Data Artificial Inteligence 59

Altexsoft

DECEMBER 15, 2021

Neural architecture search. Neural architecture search or NAS is a subset of hyperparameter tuning related to deep learning, which is based on neural networks. NAS automatically tests and assesses a large number of architectures to discover the most fitting one. Source: Google Cloud Blog. Vertex AI overview.

Artificial Inteligence 59

Artificial Inteligence Machine Learning How To Open Source 59