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. We rely on cloud-scale technologies and proprietary data science and analytics engines built on open standards to handle massive data sets,” says Mohammed.

Artificial Inteligence 276

Artificial Inteligence Artificial Intelligence Analysis Azure 276

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 278

Enterprise Strategy Cloud Technical Review 278

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Source: IoT Analytics. 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. AWS IoT Platform: the best place to build smart cities. Source: AWS.

IoT 141

IoT Azure AWS Transportation 141

CIO

MAY 8, 2024

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. This approach offers several benefits, including scalability, cost-efficiency, and reduced maintenance overhead, as the cloud provider handles the infrastructure management and scaling.

Innovation 184

Innovation Artificial Inteligence Data Serverless 184

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

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

Perficient

DECEMBER 7, 2023

These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker. This means setting up systems for real-time data analysis, predictive analytics, and automated reporting.

How To 52

How To Scalability Analytics Google Cloud 52

ParkMyCloud

APRIL 11, 2019

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. More detail, beyond just storage, available in our full cloud pricing comparison. AWS and Google Stand Out.

Comparison 62

Comparison Azure Storage AWS 62

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

One of the main reasons we like to recommend Snowflake to our customers is that it can run on AWS, Azure, or Google Cloud. You’re not tied into any specific cloud technology or brand so you can select the one that best fits your architecture, budget, and functionality requirements. You Pick the Platform.

Data 98

Data Analytics Azure Storage 98

Altexsoft

JANUARY 14, 2021

Summarized touches upon the fact the data is used for data analytics. It is a home for an OLAP (online analytical processing) server that converts data into a form more suitable for analysis and querying. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources.

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Enhanced multi-function analytics. Accelerate analytics with materialized view support.

Cloud 80

Cloud Data Analytics Machine Learning 80

Mobilunity

JANUARY 4, 2023

The Differences between AWS, Azure, and GCP Engineers. Infrastructure, including scalable storage, networking, server, mobile development, and cybersecurity solutions, is currently dominated by Amazon Web Services (AWS). 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

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

Cloudera

JUNE 9, 2022

From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way. Ingesting all device and application logs into your SIEM solution is not a scalable approach from a cost and performance perspective.

Data 94

Data IoT Scalability Load Balancer 94

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Private cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

CIO

JULY 13, 2022

One of the critical requirements that has materialized is the need for companies to take control of their data flows from origination through all points of consumption both on-premise and in the cloud in a simple, secure, universal, scalable, and cost-effective way.

System 149

System Enterprise Data Cloud 149

OTS Solutions

SEPTEMBER 5, 2023

The cloud environment lends itself well to Agile management, as it enables easy scalability and flexibility, providing a perfect platform for collaboration, automation, and seamless integration of development, testing, deployment, and monitoring processes. It is crucial to evaluate the scalability and flexibility of the platform.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

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. This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. This event-driven model enhances efficiency, scalability, and cost-effectiveness.

Trends 52

Trends Innovation Cloud Serverless 52

Altexsoft

DECEMBER 28, 2018

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions. AWS Lambda.

Serverless 68

Serverless Azure AWS Architecture 68

WatchDown

SEPTEMBER 26, 2017

It’s your choice to select which cloud hosting you want to go for. Here are some details about the cloud hosting providers that might help you for choosing the right cloud platform. Top 3 Cloud Hosting Providers For Small Business. Many cloud services are offered by Amazon. And the scalability is top notch.

Small Business 61

Small Business Cloud Google Cloud AWS 61

Mobilunity

JUNE 30, 2021

If you want to reach and secure the leading positions in the industry and keep pace with the current and future technology, migration to cloud computing may be no longer an option but a need. Why Companies Migrate to the Cloud. However, the advantages of the migration to the cloud don’t add here and include: Scalability.

Cloud 52

Cloud Google Cloud Disaster Recovery Azure 52

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 66

Course Training Artificial Inteligence Software Review 66

Mobilunity

MAY 20, 2021

Usually, cloud developers focus on working with one particular system as it requires in-depth knowledge. So, if a company plans on building an application based on Amazon’s hosting services, it needs an AWS cloud engineer. But if you choose Microsoft instead, you’ll need an Azure cloud engineer for that. Cloud Architect.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Kentik

MAY 14, 2019

Lack of a holistic view across multiple cloud providers and the organization’s on-prem infrastructure. For example, you cannot use AWS CloudWatch to monitor GCP’s network statistics and/or your on-prem data centers. Powerful analytics: The tool must unlock powerful analytics and enable in-depth visibility.

Cloud 103

Cloud Azure How To AWS 103

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 Cloud Storage.

Big Data 71

Big Data Google Cloud Data Azure 71

Openxcell

NOVEMBER 27, 2023

A cloud migration involves moving an organization’s digital assets, IT resources, services, databases, and applications from an on-premises legacy infrastructure into a public cloud hyperscale environment such as AWS, GCP, or Azure. Data migration involves moving both data and analytics workloads.

Strategy 52

Strategy Tools Cloud Disaster Recovery 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

Altexsoft

MAY 12, 2023

Scalability. Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., Also, modern cloud data warehouses and data lakehouses may be good options for the same purposes. Google Cloud Storage can also be used as a data lake system. Hadoop, Apache Spark).

Examples 59

Examples Tools Data Artificial Inteligence 59

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 50

Course Training Artificial Inteligence Software Review 50

Existek

JANUARY 19, 2022

Cloud providers specialize in the following services: Cloud migration . Cloud modernization. Consequently, choosing cloud transition opens the opportunity to get access to different solutions valuable in business. Since most cloud providers charge under a pay-as-you-go model, customers pay for what they use.

Strategy 52

Strategy Cloud Azure Google Cloud 52

Confluent

MAY 22, 2019

This growth depends greatly on the overall reliability and scalability of IoT deployments. What role will analytics play in future? Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. Interactive M2M/IoT Sector Map. What is Scylla?

IoT 97

IoT Google Cloud Scalability Microservices 97

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. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

O'Reilly Media - Ideas

APRIL 3, 2019

Introduction to Google Cloud Platform , June 3-4. Fraud Analytics Using Python , April 30. Introduction to Google Cloud Platform , June 3-4. Beginner’s Guide to Writing AWS Lambda Functions in Python , May 7. Scalable Concurrency with the Java Executor Framework , May 30. Getting Unstuck , June 3.

Course 48

Course Artificial Inteligence Training Google Cloud 48