O'Reilly Media - Data

JULY 23, 2018

The rise of deep learning has made this even more pronounced, as many modern neural network architectures rely on very large amounts of training data. Scalable Machine Learning for Data Cleaning. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics.

Machine Learning 123

Machine Learning Artificial Inteligence How To Case Study 123

Apps Associates

OCTOBER 22, 2020

Now, more than ever, businesses are looking at how they can move to the Cloud to benefit their bottom line, improve operational effectiveness and ensure continuity. Timelines have accelerated as organizations are realizing that they need the flexibility and scalability of Cloud technology. Cobham Advanced Electronic Solutions, Inc.

AWS 40

AWS Disaster Recovery Backup Data Center 40

Altexsoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Modern data stack architecture. Cloud-first.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

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). Cloud data warehouses such as Snowflake, Redshift, and BigQuery also support ELT, as they separate storage and compute resources and are highly scalable.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

DECEMBER 14, 2022

During shipment, goods are carried using different types of transport: trucks, cranes, forklifts, trains, ships, etc. What’s more, the goods come in different sizes and shapes and have different transportation requirements. Then came standardized intermodal containers that revolutionized the transportation industry. Scalability.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Datavail

JULY 14, 2022

It is constantly feeding corporate databanks with up-to-the-minute information, yet because its flow is transitory, the intelligence it offers isn’t available for use until after it’s been captured, cleaned, and integrated into standard data analysis programs. The process is fast, fault-tolerant, and scalable.

Data 52

Data AWS Analytics Programming 52

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. Transporting data from local repositories into a warehouse.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

APRIL 13, 2023

If we speak about end-to-end visibility, we mean that we should be able to have a granular view of all the main components of a supply chain: transportation – which entails control over the actual delivery process, tracking shipments , predicting ETA , etc.; increase customer satisfaction by giving real-time status updates; and so on.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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. Many industries, from manufacturing to banking to transportation, take advantage of what Hadoop can offer. Apache Hadoop architecture. Scalability.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. They are more scalable than SQL ones and capable of handling larger data volumes. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

MAY 14, 2021

Let’s take the transportation industry for example. Based on the complexity of data, it can be moved to the storages such as cloud data warehouses or data lakes from where business intelligence tools can access it when needed. Hadoop architecture layers. Data storage and processing. Apache Hadoop. Source: phoenixNAP.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

JANUARY 22, 2020

A complete guide to business intelligence and analytics. The role of business intelligence developer. Given those characteristics, stream analytics are typically used in the following industries: Heavy machinery/transportation/fleet operations : sourcing data streams from sensors and IoT devices.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

DECEMBER 10, 2019

Currently, providers of PSSs are switching from monolithic to service-based design — either service-oriented architecture (SOA) or microservices. This approach allows for building complex applications as suites of small, scalable, separately maintained and deployed modules. The third generation: service-oriented approach.

Airlines 18

Airlines Systems Review System Travel 18

Altexsoft

NOVEMBER 8, 2019

At that time, the US Transportation Department obliged airlines to share the same inventory content across all CRSs equally. New Distribution Capability (NDC) is a new standard for airline distribution suggested in 2015 by the International Air Transportation Association (IATA). Microservices architecture of Sabre Commercial Platform.

Airlines 20

Airlines Travel Retail Transportation 20