CIO

JANUARY 17, 2024

Reporting standardization One of Ipsos’ latest digital transformation-related projects is the move of its reporting and analytics to a standard digital delivery platform. This project aims to enable the company to transform its insight delivery by using a cloud-enabled infrastructure and proprietary reporting engine, built on open standards.

Artificial Inteligence 276

Artificial Inteligence Artificial Intelligence Analysis Azure 276

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Features: 1GB runtime memory 10,000 API requests 1GB Object Storage 512MB storage 3 Cron tasks Try Cyclic Google Cloud Now developers can experience low latency networks & host your apps for your Google products with Google Cloud. You can host various other Node.js

Serverless 180

Serverless AWS Google Cloud Azure 180

CIO

DECEMBER 22, 2023

After marked increase in cloud adoption through the pandemic, enterprises are facing new challenges, namely around the security, maintenance, and management of cloud infrastructure. Role growth: 30% of companies have added cloud architect roles as part of their cloud investments, according to Foundry’s survey.

Cloud 292

Cloud Company Disaster Recovery Software Engineering 292

CIO

APRIL 25, 2024

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Tools 264

Tools Cloud AWS Off-The-Shelf 264

Altexsoft

JULY 4, 2022

Infrastructure is quite a broad and abstract concept. Companies often take infrastructure engineers for sysadmins, network designers, or database administrators. What is an infrastructure engineer? (80, Key components of IT infrastructure. This environment or — infrastructure — consists of three layers.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

TechCrunch

FEBRUARY 24, 2021

“The classic problem with these cluster-based databases is that they’ve got locally attached storage. “So we built a new storage layer which delivers […] SSD-like performance using nothing but cloud storage and diskless spot instances,” Kagan explained. .

Data 177

Data Storage Metrics Google Cloud 177

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

ParkMyCloud

APRIL 11, 2019

Today, we’ll take a brief look at cloud storage cost comparison from the three major cloud service providers. The leading cloud service providers have certain fortes and weaknesses that ultimately differentiate each one of them to be the potential solution to support your development infrastructure, operations and applications.

Comparison 62

Comparison Azure Storage AWS 62

CIO

MARCH 31, 2023

And for AMD’s most critical engineering applications, the answer remains its own data centers — not the cloud. That’s because chipmakers like AMD require mega cores of compute power and memory, as well as petabytes of storage, to run their design applications.

Engineering 249

Engineering Data Center AWS Cloud 249

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

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

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

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. Business systems analyst.

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. Business systems analyst.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Altexsoft

MAY 20, 2020

Source: IoT Analytics. But to build and run a robust infrastructure, a manufacturer or service provider needs a solid foundation — or, in other words, an IoT platform that connects devices, collects data, and creates insights. Source: IoT Analytics. billion to 21.5 The growth in connected devices over the 2015-2025 decade.

IoT 141

IoT Azure AWS Transportation 141

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. We identified Google as being well aligned with us strategically,” says Gunkel.

Research 130

Research Cloud Fractional CTO Data Center 130

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

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. and Big Data Analytics in Predictive Maintenance Industry 4.0 With cloud computing, mobile app developers can create apps faster and more efficiently.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

Altexsoft

MAY 12, 2023

We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis. Data ingestion tools are software applications or services designed to collect, import, and process data from various sources into a central data storage system or repository. Scalability.

Examples 59

Examples Tools Data Artificial Inteligence 59

Existek

JUNE 20, 2023

Firebase started as a real-time database backend as a service, allowing developers to synchronize and store data in the cloud, eliminating the necessity of building and managing server infrastructure. This integration provided developers with more powerful infrastructure and additional features. What is Firebase?

Technical Review 52

Technical Review Software Review Authentication Scalability 52

Prisma Clud

DECEMBER 12, 2023

Shadow Data and the Cloud: A Match Made in Heaven Organizations love the public cloud because it makes everything easy to deploy. Rather than petitioning a centralized IT team to allocate resources for a new data initiative, smaller dev or analytics teams can spin up new cloud resources and start filling them with data.

Data 52

Data Storage Cloud Compliance 52

Agile Engine

FEBRUARY 20, 2019

As Dieter Bohn from the Verge pointed out, nowadays, Google can’t string five words together without saying “AI”. Google Cloud, Microsoft Azure, and AWS are some of the biggest brands in machine learning as a service (MLaaS). Cloud EDW (Data Warehouse). Google BigQuery. Google BigQuery. Data Storage.

Big Data 71

Big Data Google Cloud Data Azure 71

OTS Solutions

FEBRUARY 16, 2023

Cloud computing can be defined as storing and accessing data over the internet and not on a personal computer. It is a shared pool that is made up of two words cloud and computing where cloud is a vast storage space and computing means the use of computers. These clouds can be of several types.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Kentik

MAY 14, 2019

No lock-in: The move to multi-cloud avoids vendor “lock-in” and reduces reliance on one cloud provider. This helps many organizations not only gain stronger negotiating power, but also to build a more resilient infrastructure. The Reality of Multi-Cloud Visibility Today.

Cloud 103

Cloud Azure How To AWS 103

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. The relatively new storage architecture powering Databricks is called a data lakehouse. Watch our video to learn more about the roles involved in the analytics process.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. within a single, centralized location for analytics and reporting. As such, it is considered cloud-agnostic.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Mobilunity

JANUARY 4, 2023

For the purpose of deploying new products and managing infrastructure, a remote DevOps Engineer collaborates with numerous teams and subject matter experts, including web developers and systems engineers. GCE (Google Compute Engine), a component of GCP (Google Cloud Platform), serves a comparable purpose.

DevOps 52

DevOps How To Azure Weak Development Team 52

Altexsoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. 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. How HDFS master-slave structure works.

Big Data 59

Big Data Data Google Cloud Storage 59

Apiumhub

MARCH 12, 2024

Serverless Computing: Event-Driven Efficiency Serverless computing, often referred to as Function as a Service (FaaS), allows developers to execute code in response to specific events without managing the underlying infrastructure. AI-Driven Security Analytics Artificial Intelligence (AI) is playing a pivotal role in enhancing cloud security.

Trends 52

Trends Innovation Cloud Serverless 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes believes it is an imperative for CIOs to view cloud computing as a critical element of their competitiveness. Cloud-based spending will reach 60% of all IT infrastructure and 60-70% of all software, services, and technology spending by 2020.

Cloud 78

Cloud Google Cloud Azure AWS 78

Existek

JANUARY 19, 2022

What is cloud migration? Cloud migration embraces a series of digital actions and events to transfer data, apps, databases, or storage to the cloud. It’s a unique opportunity to move from the on-premise legacy infrastructure to the advanced cloud environment. CLOUD MIGRATION BENEFITS.

Strategy 52

Strategy Cloud Azure Google Cloud 52

Openxcell

SEPTEMBER 21, 2020

You can use Cloud Functions to write and deploy your code and run it on the serverless Google infrastructure. Firebase provides you with Cloud Functions that run on serverless infrastructure to communicate with other Firebase products. Cloud Storage. Thus, saving time and keeping it secure too.

Applications 52

Applications Development Storage Software Review 52

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Mobilunity

MAY 20, 2021

Cloud engineering is a quickly developing industry that concerns all things cloud services. For example, everyone has cloud storage available on their smartphones or connected to their Google account. As mentioned before, there are different cloud providers with their specific platforms. Amazon AWS.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Prisma Clud

MARCH 12, 2024

The elasticity of cloud services enables users to spin up new data services effortlessly, which leads to sprawling environments where data continuously flows between object storage, managed services and unmanaged databases. These tools are often poorly adapted to the challenges presented by cloud environments.

Data 40

Data Malware Storage Compliance 40

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. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107