Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. Image 1: Data Engineering Skillsets.

Data Engineering 54

Data Engineering Big Data Engineering Data 54

TIBCO - Connected Intelligence

DECEMBER 11, 2020

We help them combine, refine, and analyze their data on the road to transformative business value. Our success formula combines several key elements including: A more holistic approach to data management that spans data engineering, data management, and data analytics disciplines.

Business Transformation 52

Business Transformation Data Analytics Hotels 52

Altexsoft

JUNE 26, 2023

Note that in many cases, the process of gathering information never ends since you always need fresh data to re-train and improve existing ML models, gain consumer insights, analyze current market trends, and so on. For this task, you need a dedicated specialist — a data engineer or ETL developer. Find sources of relevant data.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

NOVEMBER 22, 2019

Hotel business produces a plethora of data literally every moment. When a tourist books an accommodation online, that’s new data. When a front office manager checks in a guest, that’s new data. When a housekeeper marks a room as clean, that’s new data. When something happens (you name it), that’s new data.

Hotels 18

Hotels Data Technical Review Systems Review 18

Altexsoft

NOVEMBER 23, 2020

Otherwise, let’s start from the most basic question: What is data migration? What is data migration? In general terms, data migration is the transfer of the existing historical data to new storage, system, or file format. What makes companies migrate their data assets. Main types of data migration.

Data 104

Data Transportation Backup Storage 104

Altexsoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Data storage and processing. Source: Marriott.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

DECEMBER 9, 2020

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102

Analytics Technical Review Technology Applications 102