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 The fourth industrial revolution or Industry 4.0 The concept of Industry 4.0 Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

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

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

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. There are experts on Google’s side, too,” Kennedy says.

Research 130

Research Cloud Fractional CTO Data Center 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

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 221

System Enterprise Data Cloud 221

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud computing definition. Self-service is essential to cloud computing since it allows users to get started right away by just filling out a web form.

Architecture 52

Architecture Cloud Storage Google Cloud 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

Xebia

JANUARY 19, 2023

The authors divide the data engineer lifecycle into five stages: Generation Storage Ingestion Transformation Serving Data The field is moving up the value chain, incorporating traditional enterprise practices like data management and cost optimization and new practices like DataOps. Architect for scalability. Plan for failure.

Data Engineering 130

Data Engineering Engineering Data Technical Review 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

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

Apiumhub

MARCH 12, 2024

This event-driven model enhances efficiency, scalability, and cost-effectiveness. As serverless frameworks mature, they are becoming integral components of cloud ecosystems, enabling developers to focus on code rather than infrastructure management.

Trends 52

Trends Innovation Cloud Serverless 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 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

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

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

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

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

Cloudera

JUNE 2, 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 99

System Enterprise Data Cloud 99

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

Mobilunity

NOVEMBER 17, 2021

A Platform as a Service provider manages the storage, servers, networking resources and data centers. Let’s take a look at the different Platform as a Service solutions providers, PaaS examples, and the functionality they include: Google Cloud. Hiring experienced Google Cloud coders is an easy walk with Mobilunity. >>>

Software Review 52

Software Review How To Systems Review Google Cloud 52

Datavail

SEPTEMBER 17, 2019

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. Performing real-time or predictive business analytics with minimal latency. Is MongoDB a Better Choice?

Cloud 40

Cloud Azure Big Data Storage 40

CircleCI

SEPTEMBER 7, 2021

For many organizations, cloud computing has become an indispensable tool for communication and collaboration across distributed teams. Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. the cloud can reduce costs, increase flexibility, and optimize resources. Big data analytics. Cloud storage.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Apps Associates

AUGUST 26, 2021

Boston Dynamics turned to Apps Associates – a Snowflake Select partner with over 20 years of business experience – to help design, build and implement a Snowflake-based Internet of Things (IoT) analytics solution. Data from the server is then transferred to Google Cloud Storage for temporary staging before it is ingested into Snowflake.

Google Cloud 52

Google Cloud IoT Analytics Cloud 52

Mobilunity

AUGUST 3, 2021

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Cloud computing.

Big Data 52

Big Data Data Engineering Engineering Data 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

Altexsoft

JUNE 29, 2021

Scalability. EDAs allow for great horizontal scalability as one event may trigger responses from multiple systems with different needs and providing different results. Kafka provides its pub/sub functionality in a highly scalable, fault-tolerant, and secure fashion, allowing for handling trillions of events a day. AWS Kinesis.

Architecture 75

Architecture Microservices IoT Scalability 75

Existek

JANUARY 31, 2023

THE DRAWBACKS OF UTILIZING SHAREPOINT AS A DATABASE Using SharePoint as a database is not recommended due to its lack of features that are essential for efficient data collection, storage, retrieval, sorting, and manipulation. SharePoint is not built to support complex data relationships that are vital for full database functionality.

Backup 52

Backup Software Review Systems Review Big Data 52

Palo Alto Networks

JULY 11, 2019

Banking, investment management and FinTech have continually invested in technology upgrades, data analytics and differentiated product offerings in an increasingly competitive and evolving investment landscape. A recent Accenture survey found 90% of banking respondents stating that cloud enables and accelerates innovative adoption.

Cloud 44

Cloud Compliance DevOps Agile 44

Existek

FEBRUARY 7, 2024

Artificial intelligence and machine learning Leveraging sophisticated AI algorithms and data analytics empowers mobile banking application development to provide customized financial guidance, identify and prevent fraudulent activities, and enhance overall customer service.

Banking 52

Banking Applications Technical Review How To 52

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

CIO

NOVEMBER 4, 2022

To achieve what the company would need going forward, McCowan knew Regeneron would have to undergo a major transformation and build a more enhanced data pipeline that could inject data from up to 1,000 data sources in “analytical ready formats” for both the business and the scientists to consume, the CIO says.

Pharmaceuticals 311

Pharmaceuticals Technical Review AWS Machine Learning 311

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

Xicom

FEBRUARY 4, 2021

All of the app related data concerning users, payments, and order details is stored on cloud to make the business workflow hassle-free and stress-free. This technology is beneficial in making business scalable as well as it monitors and secures the complete data and pieces of information stored on servers. Cloud Technology.

Technical Review 59

Technical Review UI/UX Systems Review Mobile 59

Palo Alto Networks

JUNE 4, 2019

In this post, guest bloggers Vineet Bhan, Sheba Roy and Ashish Verma of Google Cloud share a closer look at product integrations between Google Cloud and Palo Alto Networks. The NGFW policy engine also provides detailed telemetry from the service mesh for forensics and analytics.

Google Cloud 46

Google Cloud Network Cloud Load Balancer 46

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

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