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. This event-driven model enhances efficiency, scalability, and cost-effectiveness.

Trends 52

Trends Innovation Cloud Serverless 52

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

Xebia

AUGUST 29, 2023

It provides a powerful and scalable platform for executing large-scale batch jobs with minimal setup and management overhead. Key features of AWS Batch Efficient Resource Management: AWS Batch automatically provisions the required resources, such as compute instances and storage, based on job requirements.

AWS 147

AWS Performance Storage Linux 147

Altexsoft

JANUARY 14, 2021

From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Summarized touches upon the fact the data is used for data analytics. Is it still so? Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

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

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Openxcell

MAY 12, 2023

Through AWS, Azure, and GCP’s respective cloud platforms, customers have access to a variety of storage, computation, and networking options.Some of the features shared by all three systems include fast provisioning, self-service, autoscaling, identity management, security, and compliance. What is AWS Cloud Platform?:

Google Cloud 52

Google Cloud Azure AWS Cloud 52

Apps Associates

JUNE 22, 2022

Apps Associates prides itself on being a trusted partner for the management of critical business needs, providing strategic consulting and managed services for Oracle, Salesforce, integration , analytics and multi-cloud infrastructure. I4i instances offer up to 30 TB of NVMe storage from AWS Nitro SSDs. New Instance Types: I4i.

AWS 52

AWS IPv6 Storage 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. Where does serverless come from?

Serverless 68

Serverless Azure AWS Architecture 68

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

Perficient

MARCH 13, 2023

We like the seamless integration with native hyperscaler services like storage and node pools for easy autoscaling, zone awareness for HA, networking and RBAC security with IAM or AAD. Pay-as-you-go running on the hyperscaler’s infrastructure, you can save a ton of money by using reserved instances with a year commitment.

Serverless 83

Serverless Azure Metrics AWS 83

Apps Associates

JULY 28, 2022

Oracle Cloud Infrastructure Data Integration is a next generation, fully managed, multi-tenant, serverless, native cloud ETL service. Serverless execution, pay-as you go pricing model . Efficiently load and transform data at scale into Data Lakes for data science and analytics. Fully Control Scalability Dynamically.

Infrastructure 52

Infrastructure Cloud Data Linux 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. With Firebase, you get highly scalable cloud storage, a Google Cloud’s product.

Applications 52

Applications Development Storage Software Review 52

Capgemini

APRIL 20, 2022

Based on my experience in data analytics over the past couple of decades, in an ideal world data scientists would account for 10 to 15 percent of the staff at a data-powered organization. BigQuery is a serverless, cost-effective, multi-cloud data warehouse designed for business agility. SHARE THE LOAD. VENDORS MUST HELP.

Database Administration 52

Database Administration Serverless Technical Review Google Cloud 52

Kentik

FEBRUARY 14, 2023

Data platforms offer enterprises a range of features: Data ingestion Data storage Data transformation Data modeling Data discovery Data observability Data security Business intelligence Data platform ingestion Useful data is generated at every layer of an application. What is a data platform?

Network 52

Network Data Artificial Inteligence Analysis 52

AWS Machine Learning - AI

MAY 30, 2024

Vitech helps group insurance, pension fund administration, and investment clients expand their offerings and capabilities, streamline their operations, and gain analytical insights. These documents are uploaded and stored in Amazon Simple Storage Service (Amazon S3), making it the centralized data store.

Artificial Inteligence 95

Artificial Inteligence Technical Review Development Team Review Software Review 95

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity.

Knowledge Base 105

Knowledge Base Artificial Inteligence Generative AI AWS 105

CircleCI

SEPTEMBER 7, 2021

You can spin up virtual machines (VMs) , Kubernetes clusters , domain name system (DNS) services, storage, queues, networks, load balancers, and plenty of other services without lugging another giant server to your datacenter. Serverless. One cloud offering that does not exist on premises is serverless. Big data analytics.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

Perficient

SEPTEMBER 5, 2023

Optimization Efficiencies – The removal of analytics, personalization and AB testing from the server-side rendering in favor of client-side tools that enable the same types of capabilities. Infrastructure Efficiencies – The scale and acceleration provided by serverless hosting providers like Vercel and Netlify.

MVC 52

MVC Serverless Architecture Performance 52

OTS Solutions

FEBRUARY 16, 2023

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. Suppose a user makes a storage request, database access request, or computing request. These clouds can be of several types. This request then moves to the API gateway.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

Altexsoft

MAY 20, 2020

Source: IoT Analytics. These hardware components cache and preprocess real-time data, reducing the burden on central storages and main processors. Source: IoT Analytics. Amazon claims that the module is scalable enough to handle over a billion devices, with each of them getting assigned a unique identity. billion to 21.5

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications. What is Apache Spark?

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

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

Cloudera

OCTOBER 17, 2023

Use cases such as fraud monitoring, real-time supply chain insight, IoT-enabled fleet operations, real-time customer intent, and modernizing analytics pipelines are driving development activity. Kafka shines when utilized as the real-time bus for application integration and as the message buffer for analytics workflows.

Technical Review 79

Technical Review Generative AI Conference Open Source 79

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Data and analytics. Internet of Things.

Azure 52

Azure AWS Cloud How To 52

Sunflower Lab

FEBRUARY 1, 2024

They enable us to find patterns and relationships in the data, allowing us to store and analyze it in a highly scalable and efficient manner that produces insightful analysis and more precise forecasts. Ability to Adapt – For vector databases to manage massive volumes of data, adaptability and scalability are essential.

Artificial Inteligence 40

Artificial Inteligence Applications Healthcare Artificial Intelligence 40

Datavail

JUNE 22, 2021

Continuous Innovation : As of this writing, Microsoft has built over a thousand new capabilities in Azure in just one year , keeping it on the cutting edge of analytics, artificial intelligence, and virtualization. You can follow their blog to stay up to date on the cutting-edge changes and releases. Contact an Expert » Read This Next.

Azure 40

Azure Artificial Inteligence Cloud Company 40

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. process data in real time and run streaming analytics. A topic, in turn, is divided into partitions — the smallest units of storage space, hosting an ordered sequence of messages. Scalability. Kafka topic and partition.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Agile Engine

FEBRUARY 20, 2019

Data Storage. Google Cloud Storage. Azure Blob Storage. Stream analytics. Azure Stream Analytics. Analytics / BI platforms. Instead, they chose to rely on the simplicity of fully-managed, serverless solutions on the cloud. Simple scalability. Google BigQuery. Amazon Redshift. Cloud Dataproc.

Big Data 71

Big Data Google Cloud Data Azure 71

ParkMyCloud

MARCH 19, 2020

In AZ’s, customers are able to operate production applications and databases that are more fault tolerant, scalable, and highly available than you would see from a single data center. . Additionally, Amazon Simple Storage Service (Amazon S3), supports cross-Region replication. You can begin working in these Regions immediately.

AWS 66

AWS Lambda Data Center Storage 66

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash. Overview of Rockset technology.

Analytics 21

Analytics Serverless Blockchain Microservices 21

ParkMyCloud

APRIL 23, 2019

This list is broken down by category, including Analytics, Blockchain, Compute, Database, Internet of Things, Machine Learning, and Security. Amazon Managed Blockchain makes it easy to create and manage scalable blockchain networks. While all are in preview right now, their release dates may vary. AWS Lake Formation. Fully managed.

AWS 52

AWS IoT Blockchain Machine Learning 52

The Citus Data

DECEMBER 11, 2021

This post is a deep dive into how the UK Coronavirus analytics dashboard came to be, and why it’s architected the way it’s architected. In June of 2020, Pouria’s team was in the midst of architecting and evolving a more scalable system to power the application. Figure 1: Screenshot of the GOV.UK

Azure 88

Azure Open Source Software Review Analytics 88

Mobilunity

NOVEMBER 17, 2021

A Platform as a Service provider manages the storage, servers, networking resources and data centers. With App Engine and the Google cloud solution architecture , developers can build highly scalable applications on a fully managed serverless platform. This includes operating systems, databases, servers and storage.

Software Review 52

Software Review How To Systems Review Google Cloud 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49

Confluent

FEBRUARY 13, 2019

Core function: Building the event streaming model for item bid activity and analytics. Systems built as Reactive Systems are more flexible, loosely-coupled and scalable. It is very simple but presents scalability challenges. In the event-driven world, we’d build a scalable model where the event streams flow between processors.

Architecture 90

Architecture Programming Microservices Serverless 90

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems Review 63

Systems Review System Microservices Software Review 63