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. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

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. While all three are about data acquisition, they have distinct differences.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

FEBRUARY 22, 2022

However, serious failures can still occur with preventive strategy. Out of the three strategies, reactive maintenance has proved to be inefficient and costly in the long run, so most fleet owners adopt a proactive approach. To support your preventive maintenance strategy, you have two technological options.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

JULY 29, 2022

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. a suitable technology to implement data lake architecture. Robust community.

Big Data 59

Big Data Data Google Cloud Storage 59

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Machine learning.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). to develop all the data architecture and analytics solutions. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

DECEMBER 14, 2022

During shipment, goods are carried using different types of transport: trucks, cranes, forklifts, trains, ships, etc. As a result, all transport machinery from forklifts and cranes to trucks, trains, and ships can handle these containers. Here are a few popular platforms that provide Docker training and certification.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

NOVEMBER 9, 2021

So, implementing data aggregation and price forecasting techniques that collect the market data from various external sources (for example, you can connect to such information providers as Beroe to monitor market fluctuations), will allow you to get accurate price predictions that you can use to plan your procurement strategy and create budgets.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 3, 2019

People analytics is the analysis of employee-related data using tools and metrics. Mark Huselid highlights that the goal of HR analytics activities is to understand, quantify, manage, and improve the role of talent in the execution of strategy and value creation. A roadmap of HR analytics strategy implementation.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

NOVEMBER 22, 2019

And no less importantly, they can collect data on their staff, guests, and cleaning patterns, adjusting the workflow if necessary. Room rate data. To set a pricing strategy, you need to have data about room rates of your competitors. Data processing in a nutshell and ETL steps outline.

Hotels 18

Hotels Data Technical Review Systems Review 18