CIO

FEBRUARY 20, 2024

While cloud risk analysis should be no different than any other third-party risk analysis, many enterprises treat the cloud more gently, taking a less thorough approach. Much of that is because enterprises tend to use the largest cloud platforms available — with AWS, Microsoft Azure, and Google Cloud Platform topping that list.

Enterprise 327

Enterprise Strategy Cloud Technical Review 327

CIO

DECEMBER 22, 2023

These IT pros can also help organizations avoid potential risks around cloud security, while ensuring a smooth transition to the cloud across the company. With 65% of IT decision-makers choosing cloud-based services by default when upgrading technology, cloud architects will only become more important for enterprise success.

Cloud 325

Cloud Company Disaster Recovery Software Engineering 325

Datavail

AUGUST 12, 2021

More and more organizations are moving their analytics to the cloud—and Oracle is one of the most popular destinations. In a November 2020 ranking by Cloud Wars, Oracle was the second fastest-growing cloud vendor with an estimated quarterly revenue growth of 33 percent, behind only Google Cloud.

Analytics 98

Analytics Cloud Company Backup 98

Perficient

MARCH 5, 2024

There is nothing wrong with what you did, but data technology has continued to move forward and in my opinion, the time has come to change your data lake ingestion strategy to reduce the number of high-latency batch jobs and move toward primarily using real-time change data capture (CDC).

Strategy 115

Strategy Data Google Cloud Analytics 115

CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

LAN 358

LAN Systems Administration How To WAN 358

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. One of the critical areas that have benefited from these technological advancements is predictive maintenance. Introduction to Industry 4.0 Industry 4.0,

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Perficient

DECEMBER 7, 2023

Headless BI refers to using BI tools and technologies without a front-end user interface. These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker. Understanding Headless BI Firstly, let’s demystify the term.

How To 52

How To Scalability Analytics Google Cloud 52

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

ParkMyCloud

AUGUST 4, 2020

During its virtual Google Cloud Next ’20 “On Air” series, Google announced the introduction of BigQuery Omni. This is an extension of its existing BigQuery data analytics solution to now analyze data in multiple public clouds, currently including Google Cloud and Amazon Web Services (AWS), with Microsoft Azure coming soon.

Google Cloud 57

Google Cloud Cloud Azure AWS 57

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

Datavail

DECEMBER 2, 2021

Snowflake took the market by storm when it introduced its innovative cloud-based data warehouse technology in 2014. It is one of the first data warehousing platforms offered as a software as a service (SaaS) product with storage, compute, and cloud services operating separately and billing as independent units.

Data 98

Data Analytics Azure Storage 98

CIO

APRIL 24, 2023

To that end, University of California, Riverside has launched an ambitious cloud transformation to shift from a small on-premises data center to an advanced research platform powered by Google Cloud Platform and its various service offerings. As such, migrating to the cloud alone was not part of Gunkel’s plan.

Research 130

Research Cloud Fractional CTO Data Center 130

Xebia

JANUARY 19, 2023

With this practical book, you’ll learn how to plan and build systems to serve your organization’s and customers’ needs by evaluating the best technologies available through the framework of the data engineering lifecycle. The best data engineers view their responsibilities through business and technical lenses.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Existek

JUNE 20, 2023

It continued expanding beyond databases and authentication to include services like Firebase Cloud Messaging, Firebase Hosting, Firebase Storage, Firebase Analytics, Firebase Performance Monitoring, etc. Firebase offers cloud storage for storing and serving user-generated content such as images, videos, and other files.

Technical Review 52

Technical Review Software Review Authentication Scalability 52

Apiumhub

MARCH 12, 2024

This article explores cloud computing trends that will define the landscape of cloud computing in the coming years, from edge computing to quantum computing and the implications for businesses and technology enthusiasts. Cloud Computing Trends: What is Cloud Computing?

Trends 52

Trends Innovation Cloud Serverless 52

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Openxcell

NOVEMBER 27, 2023

Cloud migration is much more than just a change in technology. By implementing cloud migration strategy properly, your entire business will be transformed and modernized, creating new efficiencies and capabilities that will accelerate innovation in every department.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

Agile Engine

FEBRUARY 20, 2019

This article covers 5 trends that will shape the data technology in the next few years. Looking back at the technology landscape of 2016–2018, the buzz surrounding Big Data has certainly been declining: At the same time, thousands of companies have been embracing data. Cloud EDW (Data Warehouse). Google BigQuery.

Big Data 71

Big Data Google Cloud Data Azure 71

Mobilunity

MAY 20, 2021

Responsibilities, Skills, and Requirements for a Cloud Engineer. A cloud developer is an experienced IT professional that works with cloud services. Such employees need to have wide coding experience, know particular languages and technology stack, and understand the cloud architecture. Cloud Support.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Kentik

MAY 23, 2019

It’s how we began to set the bar for what modern network analytics should look like. In just a few short years, we’ve proven that flow-based analytics (with formats like NetFlow, sFlow, and JFlow) give enterprises and service providers powerful insights into network performance, availability, security, and much more.

.Net 85

.Net Data Firewall WAN 85

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Scalable Data Science with Apache Hadoop and Spark , July 16.

Course 64

Course Training Artificial Inteligence Software Review 64

Existek

FEBRUARY 7, 2024

The seamless integration of technology into banking has enhanced the accessibility of financial services. Over the years, technological advancements and consumer demand led to a rapid evolution of mobile banking apps. Besides, it has dramatically revolutionized the traditional banking experience.

Banking 52

Banking Applications Technical Review How To 52

Perficient

MAY 10, 2023

In today’s business world, companies are increasingly turning to cloud computing to power their operations. With the benefits of scalability, flexibility, and cost savings, cloud computing has become the go-to solution for businesses looking to stay competitive in today’s fast-paced marketplace. What is FinOps?

Cloud 69

Cloud Agile Azure Budget 69

Trigent

FEBRUARY 9, 2022

Implementing the right strategy ensures a successful migration to the Cloud. The state of cloud migration in manufacturing. As per a recent survey, the number of companies using cloud technologies as part of their digital transformation endeavors has increased from 51% in 2019 to 62% in 20212. Let’s discuss.

Cloud 52

Cloud Enterprise Fractional CTO Budget 52

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. But no technology can work efficiently without human experts behind it.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12. Business Data Analytics Using Python , June 25. Scalable Data Science with Apache Hadoop and Spark , July 16.

Course 49

Course Training Artificial Inteligence Software Review 49

Apps Associates

AUGUST 26, 2021

As the company has increasingly focused on commercializing its technology, Boston Dynamics knew that its IT infrastructure also needed to grow and expand. Data from the server is then transferred to Google Cloud Storage for temporary staging before it is ingested into Snowflake. Google Cloud Platform (GCP): Streaming IoT data.

Google Cloud 52

Google Cloud IoT Analytics Cloud 52

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

O'Reilly Media - Ideas

APRIL 3, 2019

Introduction to Distributed Ledger Technology for Enterprise , May 9. Introduction to Google Cloud Platform , June 3-4. Fraud Analytics Using Python , April 30. Introduction to Google Cloud Platform , June 3-4. Scalable Concurrency with the Java Executor Framework , May 30. Blockchain. Programming.

Course 47

Course Artificial Inteligence Training Google Cloud 47

Mobilunity

NOVEMBER 17, 2021

Let’s take a look at the different Platform as a Service solutions providers, PaaS examples, and the functionality they include: Google Cloud. Google’s App Engine is a cloud computing integration Platform as a Service for developing and hosting web apps in Google-managed data centers. Easy scalability.

Software Review 52

Software Review How To Google Cloud Systems Review 52

Datavail

SEPTEMBER 17, 2019

But how do you know if MongoDB standard offerings or MongoDB Atlas are a better fit for your technology roadmap? Other standard Atlas offerings include self-healing clusters, global scalability, virtual private cloud (VPC) security, and easy-to-use performance optimization tools which can be visualized with real-time dashboards.

Cloud 40

Cloud Azure Big Data Storage 40

Existek

NOVEMBER 22, 2021

You’ll find information about the best technologies, software development stages, must-have features, process duration, and cost estimation. Web apps have proven themselves as good performing, quickly responding, scalable, and easy to maintain. First of all, enterprise solutions have to be highly scalable and perform well.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

CIO

NOVEMBER 4, 2022

Everything we do is data-driven, and at that time, we were very datacenter-driven but the technology had lots of limitations” says McCowan. “It And to do this, a move to the cloud was essential. Google created some very interesting algorithms and tools that are available in AWS,” McCowan says. It is all about the data.

Pharmaceuticals 311

Pharmaceuticals Technical Review AWS Machine Learning 311

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52