CIO

JUNE 5, 2023

Optimize internal technology Today, CIOs can influence everything from hardware procurement and the way developers write code for their company, to how IT gathers, processes, distributes and stores data—all of which impact a company’s carbon footprint.

.Net 255

.Net Sustainability Energy Innovation 255

CIO

JANUARY 12, 2023

An edge computing architecture can begin to help solve these problems. This allows teams to receive and review business intelligence and make changes in near-real-time rather than waiting hours or days to glean insights from data. [2] 2] As with any advancement in technology, edge computing comes with benefits and drawbacks.

Technical Review 184

Technical Review Technology Innovation Data Center 184

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. Conclusion.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

OCTOBER 24, 2019

The focus of this material is to provide information about the business value of each architectural and conceptual approach to building a warehouse. Such practice is a futureproof way of storing data for business intelligence (BI) , which is a set of methods/technologies of transforming raw data into actionable insights.

Architecture 50

Architecture Enterprise Data Technical Review 50

Datavail

JULY 27, 2021

Azure Cloud is the perfect site for many organizations to run their business intelligence and analytics workloads. Look for “quick wins”. Datavail suggested that migrating to the Azure cloud would be an obvious next step.

Azure 98

Azure Analytics Cloud Company 98

Cloudera

SEPTEMBER 23, 2022

The advantages provide the foundation for the modern data lakehouse architectural pattern. Let’s dive into the characteristics of these PaaS deployments: Hardware (compute and storage) : With PaaS deployments, the data lakehouse will be provisioned within your cloud account. To the user, it is a serverless experience.

Government 107

Government Enterprise Strategy Data 107

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. Also, Snowflake has a unique architecture that can scale up and down based on the requirements and workloads.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Datavail

AUGUST 4, 2021

More and more companies are running their business intelligence and analytics workloads in the cloud. The advantages of moving analytics to AWS Cloud include: Lower IT costs: Cloud migrations save businesses the costs of on-premises hardware, software licenses, and ongoing support and maintenance.

AWS 98

AWS Technical Review Analytics Development Team Review 98

Altexsoft

DECEMBER 17, 2019

In the business sphere, a certain area of technology aims at helping people make the right decisions, by supporting them with the right data. This field is called business intelligence or BI. Business intelligence includes multiple hardware and software units that serve the same idea: take data and show it to the right people.

Business Intelligence 19

Business Intelligence Weak Development Team Systems Review Software Review 19

Apiumhub

MARCH 4, 2021

DaaS leverages the popular software-as-a-service (SaaS) paradigm, through which customers are able to use cloud-based software applications delivered over the network rather than deploying dedicated hardware servers for a specific set of tasks on a specific set of data. Business intelligence. Augment a workflow.

Trends 72

Trends Data Analytics Business Intelligence 72

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

MAY 20, 2020

IoT architecture layers. IoT infrastructure contains several key layers, with an IoT platform acting as a bridge between physical world and business processes. Perception layer: IoT hardware. Hardware or “things” layer includes the following gears that work with signals from the physical world. How an IoT system works.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies.

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

Altexsoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Two key abstractions in Spark architecture are the Resilient Distributed Dataset (RDD) and the Directed Acyclic Graph (DAG).

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Cloudera

SEPTEMBER 23, 2022

The advantages provide the foundation for the modern data lakehouse architectural pattern. Let’s dive into the characteristics of these PaaS deployments: Hardware (compute and storage) : With PaaS deployments, the data lakehouse will be provisioned within your cloud account. To the user, it is a serverless experience.

Data 52

Data Storage Analytics Budget 52

Altexsoft

JULY 29, 2022

According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. a suitable technology to implement data lake architecture. Apache Hadoop architecture. This shared-nothing architecture brings a lot of benefits we’ll discuss later. How MapReduce master-slave architecture works.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

OCTOBER 21, 2022

But to understand why Kafka is omnipresent we have to look at how it works — in other words, to get familiar with its concepts and architecture. Kafka architecture. A subscriber is a receiving program such as an end-user app or business intelligence tool. Kafka cluster architecture. Kafka cluster and brokers.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

MARCH 31, 2020

You need to have infrastructure, hardware and/or software, that will allow you to do that. Since the main users are business professionals, a common use case for data warehouses is business intelligence. This analytics type is related with business intelligence (BI). But how do you move data?

Data 76

Data Storage Analytics Data Center 76

Altexsoft

OCTOBER 2, 2020

Data architecture: aligning technologies with business goals. Data architecture is a starting point for any data management model. Fitting into wider enterprise architecture, it outlines how data is collected, integrated, transformed, stored, and used. Data analytics and business intelligence: drawing insights from data.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

SEPTEMBER 21, 2023

How Elasticsearch works: Core concepts The architecture of Elasticsearch is built to be distributed, meaning its capabilities, including storing data, executing searches, and processing analytics, are not limited to a single machine or server. Key components of the Elasticsearch architecture.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Cloudera

NOVEMBER 2, 2020

Having a live view of all aspects of their network lets them identify potentially faulty hardware in real time so they can avoid impact to customer call/data service. Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Basic Architecture for Real-Time Data Warehousing.

Data 94

Data Analytics Storage Big Data 94

Altexsoft

MARCH 14, 2023

Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. A data stack, in turn, focuses on data : It helps businesses manage data and make the most out of it. Modern data stack architecture. What is a modern data stack?

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Altexsoft

DECEMBER 14, 2022

What’s more, this software may run either partly or completely on top of different hardware – from a developer’s computer to a production cloud provider. Thus, the guest operating system can be installed on this virtual hardware, and from there, applications can be installed and run in the same way as in the host operating system.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

MARCH 18, 2021

From the late 1980s, when data warehouses came into view, and up to the mid-2000s, ETL was the main method used in creating data warehouses to support business intelligence (BI). You deal with cloud projects or hybrid architectures. ELT comes to the rescue. What is ELT? ELT is the way to save money and reach better performance.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Cloudera

OCTOBER 30, 2023

Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. The traditional “lift and shift” approach is not appropriate when building cost-effective cloud architectures.

Analytics 77

Analytics Cloud Technical Review Resources 77

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Data warehouse architecture. Ground level of analytics.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

SEPTEMBER 20, 2019

Not only technological companies are concerned about data analysis, but any kind of business is. Analyzing business information to facilitate data-driven decision making is what we call business intelligence or BI. So, in this article, we will focus on data visualization through the prism of business intelligence.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

O'Reilly Media - Ideas

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Sometime in Q3/Q4 of 2019, specialized hardware for training deep learning models will become available.

Machine Learning 101

Machine Learning Artificial Inteligence Technical Review Technology 101

elsua: The Knowledge Management Blog

JULY 1, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 63

Wireless Linux Data Center Journal 63

elsua: The Knowledge Management Blog

JUNE 14, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 63

Wireless Linux Data Center Journal 63

elsua: The Knowledge Management Blog

JUNE 14, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 63

Wireless Linux Data Center Journal 63

elsua: The Knowledge Management Blog

JUNE 4, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 63

Wireless Linux Data Center Journal 63

Perficient

JULY 4, 2023

ETL is commonly used in business intelligence and data warehousing projects to consolidate data from various sources and make it available for analysis and reporting. ELT also requires less hardware than ETL , as the transformations can be performed on the target system itself. What is ELT?

Big Data 52

Big Data Scalability Analysis Performance 52

elsua: The Knowledge Management Blog

JUNE 28, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 55

Wireless Linux Data Center Journal 55

elsua: The Knowledge Management Blog

JUNE 14, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 55

Wireless Linux Data Center Journal 55

elsua: The Knowledge Management Blog

JUNE 4, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Guidelines 55

Guidelines Social Wireless Linux 55