Altexsoft

SEPTEMBER 23, 2021

Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. A data warehouse (DW) is a unified storage for all corporate data.

Architecture 52

Architecture Data Storage IoT 52

CIO

JANUARY 12, 2023

An edge computing architecture can begin to help solve these problems. Here’s how edge computing works: a percentage of storage and compute resources move closer to the source of the data and away from the data center. 2] As with any advancement in technology, edge computing comes with benefits and drawbacks.

Technical Review 189

Technical Review Technology Innovation Data Center 189

Altexsoft

AUGUST 12, 2020

This article describes IoT through its architecture, layer to layer. Before we go any further, it’s worth pointing out that there is no single, agreed-upon IoT architecture. It varies in complexity and number of architectural layers depending on a particular business task. Major IoT building blocks and layers.

IoT 140

IoT Architecture Wireless Transportation 140

CIO

NOVEMBER 22, 2022

Are they successfully untangling their “spaghetti architectures”? The chain is rolling out new hand-held devices that allow associates to easily check pricing and inventory availability in hand or from more than 40 feet away, which is helpful when serving customers and locating products in overhead storage.

Retail 342

Retail Minimum Viable Product Architecture Machine Learning 342

CIO

SEPTEMBER 14, 2023

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. But data engineers also need soft skills to communicate data trends to others in the organization, and to help the business make use of the data it collects. What is a data engineer?

Data Engineering 337

Data Engineering Analytics Engineering Data 337

TechCrunch

JUNE 1, 2022

Essentially, Coralogix allows DevOps and other engineering teams a way to observe and analyze data streams before they get indexed and/or sent to storage, giving them more flexibility to query the data in different ways and glean more insights faster (and more cheaply because doing this pre-indexing results in less latency).

Analytics 246

Analytics DevOps Storage Business Intelligence 246

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection. Public cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

TechCrunch

DECEMBER 14, 2021

After that, there are different business intelligence, reporting and data visualization tools that help you take advantage of the data that you have stored in your warehouse. First, they adopt a data warehouse to centralize all current and historical data under the same roof.

Data 234

Data Telecommunications Transportation Analysis 234

CIO

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Government 357

Government Data Technical Review Policies 357

Xebia

JANUARY 19, 2023

. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52

Data Virtualization

JANUARY 19, 2023

The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

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

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). This should secure our business strategy for the next five years and longer.”

Budget 363

Budget Artificial Inteligence Technical Review VR 363

Altexsoft

OCTOBER 24, 2019

While our brain is both the processor and the storage, companies need multiple tools to work with data. The focus of this material is to provide information about the business value of each architectural and conceptual approach to building a warehouse. Similar to humans companies generate and collect tons of data about the past.

Architecture 50

Architecture Enterprise Data Technical Review 50

O'Reilly Media - Ideas

JANUARY 7, 2020

In the world of user-centric architecture philosophies, the simplest architecture of all is the single-tenant system. Another example is an internal system, such as a business intelligence platform, that you wish to bring out as a product externally. Continue reading Multi-single-tenant architectures in cloud.

Architecture 53

Architecture Cloud System Examples 53

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. The platform provides fast, flexible, and easy-to-use options for data storage, processing, and analysis.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

APRIL 22, 2020

The data can be further applied to provide value for machine learning , data stream analysis , business intelligence , or any other type of analytics. To give you an idea of what a data platform can be, and which tools are used to process data, let’s quickly outline some general architectural principles.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

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. For over 30 years, data warehouses have been a rich business-insights source. Data warehouse architecture. Is it still so?

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

APRIL 16, 2021

As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. This could be a transactional database or any other storage we take data from. Online Analytical Processing Architecture.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

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

Altexsoft

MARCH 30, 2023

The relatively new storage architecture powering Databricks is called a data lakehouse. To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. These improvements become possible due to the core components of the Databricks architecture — Delta Lake and Unity Catalog.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Kentik

FEBRUARY 14, 2023

With software architectures increasingly adopting distributed, cloud-based models , network infrastructures have become complex webs of virtual and physical devices. With storage metadata, data platforms offer engineers opportunities for additional insights into data access, resource allotment and capacity, performance, and more.

Network 52

Network Data Artificial Inteligence Analysis 52

Apps Associates

JULY 14, 2023

Outcome highlights: Cost consolidation / reduction, business continuity, improved future state architecture with ability to leverage breadth of AWS services Pearson plc is the world’s learning company with more than 22,500 employees operating in 70 countries.

Disaster Recovery 52

Disaster Recovery Cloud AWS Backup 52

Altexsoft

NOVEMBER 28, 2019

But, as a business, you might be interested in extracting value of this information instead of just collecting it. Business intelligence (BI) is a set of technologies and practices to transform business information into actionable reports and visualizations. Who is a business intelligence developer?

Business Intelligence 22

Business Intelligence Technical Review Development Storage 22

Apps Associates

OCTOBER 8, 2021

Capsule summary: Re-architect, migrate and re-platform complex Oracle E-Business Suite ERP environment from IBM AIX to AWS including multiple environments (production, non-production) with disaster recovery and backup, configuration of license manager. Outcome highlights: Alignment of the process and architecture with QuantCast Security.

AWS 52

AWS Disaster Recovery Backup Data Center 52

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 89

Data Analytics Open Source Architecture 89

Altexsoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. machine learning and deep learning models; and business intelligence tools.

Data 87

Data Data Engineering Big Data Architecture 87

O'Reilly Media - Data

APRIL 3, 2018

Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. Data platforms.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

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

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

Mobilunity

NOVEMBER 24, 2021

In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays. The growing number of data sources and the need for data storage and analysis require companies to conduct a meticulous collection, storage, and processing of information. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

Datavail

JULY 27, 2021

Azure Cloud is the perfect site for many organizations to run their business intelligence and analytics workloads. In addition, Datavail helped the client use services such as Azure Data Factory and Azure Data Lake Storage to plan and prepare for its Power BI cloud migration. The Benefits of Analytics on Azure Cloud.

Azure 98

Azure Analytics Cloud Company 98

Apps Associates

APRIL 20, 2022

Outcome highlights: A secure and scalable environment with improved architecture that provides their customers uninterrupted services. . Outcome highlights: Cost consolidation / reduction, business continuity, improved future state architecture with ability to leverage breadth of AWS services.

Disaster Recovery 52

Disaster Recovery Cloud AWS Organization 52

Dell EMC

MAY 28, 2020

When I started in this work, the main business challenge was how to handle the explosion of data with ever-growing data sets and, most importantly, how to gain business intelligence in as close to real time as possible. The effort to solve these business challenges led the way for a ground-breaking architecture called.

Big Data 80

Big Data Data Artificial Intelligence Artificial Inteligence 80

Apps Associates

MAY 18, 2021

This is a positive trend but with modern Cloud architectures sometimes the lines can get blurry between the two. avoid a ‘data swamp’); they wanted to reduce storage costs for the large volume of data that was being stored and they wanted a unified analytics front end to be able to analyze data in both data lakes and data warehouses.

Cloud 98

Cloud Data Azure Analytics 98