Linux Academy

APRIL 30, 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 113

Linux AWS Big Data Course 113

The Crazy Programmer

NOVEMBER 14, 2021

Because Google also launched its search engine’s beta version in 2008, and in early 2008 Microsoft announced its Microsoft Azure for the testing phase, deployment, and even for the managing applications. Google also presented its Google Cloud in 2012, but it finally got available to the public in 2013.

Cloud 203

Cloud Technical Review Azure Systems Review 203

Linux Academy

MAY 28, 2019

After taking this course, students will know how Azure App Service is used as a Platform as a Service (PaaS) offering for deploying cloud apps for web and mobile environments. Use Secrets to protect sensitive data like passwords. ” In this course we describe the main characteristics of Big Data and its sources.

Linux 104

Linux AWS Azure Technical Review 104

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

Battery Ventures

OCTOBER 7, 2020

This has all translated into some prominent initial-public offerings for cloud-native companies this year—deals few could have imagined during the initial shock of the pandemic in March and April. Today, we delve deeper into these topics in our “State of the Cloud 2020” report.

Open Source 144

Open Source Cloud Google Cloud Azure 144

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

JUNE 4, 2019

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. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 69

Course Training Artificial Inteligence Software Review 69

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

Hu's Place - HitachiVantara

MAY 10, 2019

In the past 10 years the incidents of fraud have escalated thanks to new technologies, like mobile, that have been adopted by banks to better serve their customers. A data pipeline that is architected around so many piece parts will be costly, hard to manage and very brittle as data moves from product to product.

Data 90

Data Artificial Inteligence Machine Learning Weak Development Team 90

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 Turning fast-moving internet of things (IoT) data streams into insight. percent growth in shares in 2018.

Cloud 40

Cloud Azure Big Data Storage 40

O'Reilly Media - Ideas

JUNE 5, 2019

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. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 50

Course Training Artificial Inteligence Software Review 50

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

O'Reilly Media - Ideas

FEBRUARY 5, 2019

Cloud-related terms had a significant presence in the search and usage data. AWS, Amazon’s suite of cloud-based tools, was the number 4 search term, and it had 28% growth in year-over-year usage. Google Cloud (66% growth in usage over 2017) and Microsoft Azure (60% growth in usage) also increased. Containers.

Trends 87

Trends Artificial Inteligence Blockchain Microservices 87

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

Linux Academy

JULY 30, 2019

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. The concepts introduced in this course are necessary for any security considerations on Google Cloud. Essentials .

Linux 25

Linux Course AWS Google Cloud 25

RapidValue

SEPTEMBER 9, 2019

Institutions and organizations are taking the appropriate steps to ensure that they are benefited by the offerings of cloud services. The Popular Cloud Platforms. Google Cloud Platform. Rackspace Cloud. Ways of Using Cloud Platforms – Increasing IT Infrastructure Flexibility. Big Data Analytics.

Disaster Recovery 20

Disaster Recovery Cloud Backup Big Data 20

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

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 140

Programming Software Review Systems Review Machine Learning 140

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

Altexsoft

APRIL 23, 2021

This data is an inevitable part of a cohesive ecosystem known as the Internet of Medical Things (IoMT). We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. Modern platforms employ many technologies such as cloud computing, databases, and big data processing modules.

Healthcare 64

Healthcare Internet IoT Systems Review 64

Existek

NOVEMBER 22, 2021

To control the staff and ease their workflow, enterprises use the web, mobile, and desktop applications that provide all features impacting the working process positively. It provides extra data protection. Cloud Platforms. Google Cloud is the youngest candidate. Google Cloud and Azure bill users per minute.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 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

JULY 30, 2019

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. The concepts introduced in this course are necessary for any security considerations on Google Cloud. Essentials .

Linux 12

Linux Course AWS Google Cloud 12

Apiumhub

OCTOBER 2, 2019

Mobile app test automation. 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. Advanced Mobile Development. Mobile app development. Purely Functional Scala. Distributed programming.

Software Review 9

Software Review Software Development Technical Review Course 9

TechCrunch

JUNE 30, 2022

Snowplow has its origins in Dean’s and Yali Sassoon’s (Snowplow’s co-founder) consulting work, which often involved helping companies to use behavioral data from mobile apps and websites to inform their business strategies.

Data 187

Data Analytics Business Intelligence Google Cloud 187

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. Google Cloud ML. Google Cloud ML Engine enables the creation and deployment of machine learning solutions.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Mobilunity

JANUARY 4, 2023

Infrastructure, including scalable storage, networking, server, mobile development, and cybersecurity solutions, is currently dominated by Amazon Web Services (AWS). High-end big data analytics solutions are available through Google Cloud Platform (GCP), which also makes it simple to connect to other vendor products.

DevOps 52

DevOps How To Azure Weak Development Team 52

Exadel

DECEMBER 4, 2019

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

Altexsoft

JANUARY 22, 2020

Because of its ability to run concurrent processing and move large amounts of data quickly, Kafka is used for big data streams, like Netflix’s big data ingestion platform. Netflix’s big data ingestion platform architecture. Or it can be used with Apache Spark , a big data processing engine.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

MAY 20, 2020

Other most popular activity areas are energy, mobility, smart cities and healthcare. The list of top five fully-fledged solutions in alphabetical order is as follows : Amazon Web Service (AWS) IoT platform , Cisco IoT , Google Cloud IoT , IBM Watson IoT platform , and. Google Cloud IoT: driving transportation with Google Maps.

IoT 141

IoT Azure AWS Transportation 141

CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. Klipfolio: Klipfolio is designed to enable users to access and combine data from hundreds of services without writing any code.

Data 358

Data Analytics Travel Business Intelligence 358

Altexsoft

FEBRUARY 24, 2023

The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software. Getting Started With Google Kubernetes Engine (GKE) on Coursera. Framework Programming The Good and the Bad of Node.js

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Existek

JANUARY 27, 2023

The software is at the heart of nearly every financial service, from online banking to mobile payments to investment management. Mobile and web-based technologies are also expected to grow in the financial services industry, as customers increasingly use their mobile devices to access financial services.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

JULY 9, 2020

Their key aim is to advance data sharing between health systems and to grant patients unprecedented control over their care via mobile apps of their choice. US Core Data for Interoperability ( USCDI ). Pronounced as “fire”, FHIR specifies how exactly data exchange must be done so that all parties understand each other.

Healthcare 122

Healthcare Technical Review Systems Review How To 122

Altexsoft

APRIL 26, 2022

The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis. Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. As such, it is considered cloud-agnostic. Source: Snowflake. Snowflake architecture overview.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Cloudera

APRIL 2, 2019

Cloudera and Intel have a long history of innovation, driving big data analytics and machine learning into the enterprise with unparalleled performance and security. It supports a wide variety of use cases from powering web & mobile applications to operationalizing IoT data.

Performance 49

Performance Artificial Inteligence IoT Scalability 49